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Summer Undergraduate Research Programme (SURP)
Research Projects
Over 110 research topics are offered by CUHK host supervisors. Applicants are recommended to choose more than one project in their applications to increase the chance of admission.
Please click onto the Faculty tab below for the details of the research projects.
(In alphabetical order of CUHK department and surname of supervisor)
CUHK Supervisor: | Prof. GONZALES Wilkinson Daniel WONG |
Research Project (1): | From Malls to Meaning: What It Means to Use /R/ in Hong Kong English |
Project Description: | This continuing study delves into the sociolinguistic dynamics of postvocalic r pronunciation in Hong Kong English, where this sound—appearing after a vowel within the same syllable, as in words like car, hard, park, and butter—is sometimes omitted. But what factors shape this phenomenon? Could it correlate with social class, context formality, or style, similar to patterns observed in Western societies? Is the trend evolving, or do other sociolinguistic influences—like native language background or stylistic choices—play a role? What social meanings does the postvocalic r carry in Hong Kong’s spoken English?
In this ongoing research project, students will collaborate with me to explore these variables, drawing inspiration from Labov’s seminal “fourth floor” study, but with a local twist. Instead of department stores, students will go around Hong Kong visiting malls, providing an opportunity to observe and experience the city’s cultural and linguistic landscape from the ground up. They will conduct fieldwork using Labov’s classical elicitation methods to collect primary data and will engage in sociolinguistic interviews, surveys, and potentially experiments to gain a nuanced understanding of the social connotations of /r/. In the analysis phase, students will apply contemporary quantitative and qualitative variationist methods to examine English usage in Hong Kong, testing established theories within this unique context. This hands-on experience will culminate in a comprehensive report, with enthusiastic students possibly collaborating on journal publications, furthering their professional and academic growth. While previous coursework in sociolinguistics or related fields (e.g., introductory linguistics or sociology) is preferred, the primary requirement is a genuine interest in understanding the dynamics of language and society in Asian contexts like Hong Kong. Familiarity with statistics or computational skills is advantageous but not mandatory; enthusiasm and a commitment to expanding sociolinguistic theory are what matter most. |
Research Project (2): | Echoes of English: Exploring English-Related Language Variation in Hong Kong |
Project Description: | Language variation in Hong Kong, particularly in the dynamic interplay of Cantonese and English, along with the distinct features of Hong Kong English, remains an area ripe for exploration. This project seeks to deepen our understanding of these linguistic practices by examining significant sociolinguistic variables through a mixed-methods approach, blending qualitative and quantitative research techniques.
Participants in this project will gain hands-on research experience by conducting interviews that probe the nuances of Hong Kong English and the practice of Cantonese-English code-switching. Our goal is to uncover key linguistic variables and to delve into the social factors that may shape these patterns. Once we identify these variables, students will collaborate on an analysis to explore whether public perceptions align with the observed linguistic trends in English usage. This phase of the project will utilize (1) sociolinguistic social media datasets, such as the Corpus of Cantonese-English Code-switching on WhatsApp or the Twitter Corpus of English in Hong Kong, and/or (2) original data collected through elicitation experiments and surveys with a distinct speaker cohort. By project’s end, students will have cultivated practical skills in both qualitative and quantitative variationist methodologies, gaining insights into language variation in the unique context of Hong Kong. This research not only seeks to broaden the scope of variationist sociolinguistics by highlighting understudied settings like Hong Kong but also encourages students to compile their findings into a comprehensive report. For those motivated, there may be an opportunity to co-author publications in reputable journals, providing valuable experience toward a potential academic career. Students from introductory sociolinguistics or related courses (e.g., introduction to language or sociology) are especially encouraged to participate. While prior experience with statistics, computational tools, or qualitative analysis software is advantageous, the primary requirement is a genuine curiosity about language variation and social dynamics in Asian contexts. A commitment to contributing meaningfully to the field of variationist sociolinguistics will be the most significant asset. |
Research Project (3): | Beyond the Surface: Examining Hong Kong’s Linguistic Landscape across Physical, Digital, and Social Realms |
Project Description: | Research on Hong Kong’s linguistic landscape has traditionally focused on cataloging signs in physical spaces, often emphasizing numerical associations across different regions. However, recent studies reveal that the linguistic landscape of Hong Kong encompasses more than just physical markers; it also interacts with digital environments, metaphorical spaces, and complex social dynamics, such as identity. This raises essential questions: How do signs in Hong Kong interact across physical and digital spaces and engage with diverse social identities? How are multilingual and semiotic resources creatively and functionally deployed in Hong Kong? Moreover, how do societal influences, especially those tied to identity and perceptions of space, shape the use of these resources?
In this research project, students will collaborate to investigate the intricate relationship between semiotic and linguistic resources, spatial environments, and identity formation within Hong Kong. The project will focus on one or two regions of the students’ choice, combining fieldwork in both traditional physical spaces and digital domains. Students will then conduct in-depth interviews, surveys, and possibly experimental studies to gain a rich understanding of Hong Kong’s linguistic landscape. During the analysis phase, students will gain hands-on experience with contemporary quantitative and qualitative methods to examine linguistic practices in Hong Kong. By the project’s end, students will produce a comprehensive project report, with opportunities for those keen to co-author publications in reputable academic journals—an experience valuable for professional and academic advancement. Although prior coursework in sociolinguistics or related fields (e.g., introduction to language or sociology) is preferred, it is not mandatory. Similarly, while familiarity with statistics or computational methods is helpful, the essential qualification is a deep curiosity about linguistic landscapes within Asian contexts and a commitment to advancing this field of research. |
CUHK Supervisor: | Prof. Gangyi FENG |
Research Project (1): | Neurocognitive Fingerprints of Language Learning Success |
Project Description: | This research topic includes several projects aimed at uncovering the neurocognitive foundations that support foreign language learning in adults. Key areas of focus involve mastering and representing new phonetic contrasts, auditory categories, sound-symbol associations, and grammatical rules, as well as understanding how our brains facilitate these learning processes.
Students who enroll will work closely with the supervisor and research team members to conduct literature reviews, meta-analyses, experimental design, data collection and analysis, and research report writing for ongoing projects. The supervisor and team members will provide relevant research training throughout the process. Students with a strong background in this field may be assigned additional tasks, such as collecting and analyzing fMRI, fNIRS, and/or EEG data and writing experimental reports or research papers. Those with appropriate experience may also have the opportunity to work with data from special populations, including neuroimaging data from children with hearing loss. Students will have the chance to learn specific research skills through hands-on practice on a project of interest. |
Research Project (2): | Neural Synchronization during Verbal Communication and Learning |
Project Description: | This research project aims to investigate the neural synchronization that occurs between speakers and listeners during verbal communication and learning. The goal is to understand how this synchronization supports efficient information exchange and enhances learning. Key areas of focus include teaching and learning new phonetic contrasts, auditory categories, sound-symbol associations, and grammatical rules. Additionally, the project will examine how inter-brain coupling and synchronization facilitate the teaching and learning processes. |
CUHK Supervisor: | Prof. Pik Ki Peggy MOK |
Research Project: | Speech Production & Perception Research |
Project Description: | Depending on students’ background and interests, there are various speech research projects available for students to participate in a variety of languages, e.g., tone sandhi in some Chinese dialects, Cantonese and English speech data of human-AI interaction, data of co-speech gesture. Students will be able to analyse real project data. Students can also join the regular activities of the phonetics lab, e.g. lab meetings and workshops. |
CUHK Supervisor: | Prof. Chun Man Patrick WONG |
Research Project (1): | Brain & Language |
Project Description: | Using a team-science approach, this project examines the neural basis of language learning and processing. Students will work closely with a member of the lab to conduct a literature review, brainstorm ideas for specific experiments, collect data on experiments that are ongoing, and/or analyze existing data.
For students who have a strong background in this area of research, additional responsibilities may be assigned such as participating in MRI and EEG experiments. For some projects, students with the appropriate background may work with special populations such as children with autism and dyslexia. Specific duties will be assigned at the first meeting after discussing the students’ backgrounds and interests, as well as the lab’s current needs. Students are encouraged to familiarize themselves with journal papers published by our group (brain.cuhk.edu.hk). |
Research Project (2): | Foreign Language Learning |
Project Description: | The project concerns how foreign languages are learned and the factors influencing learning success by studying classroom learners and/or artificial language learning in the lab. Students will work closely with a member of the lab to conduct a literature review, brainstorm ideas for specific experiments, collect data on experiments that are ongoing, and/or analyze existing data. Students may also work with other members of the lab.
Specific duties will be assigned at the first meeting after discussing the students’ backgrounds and interests, as well as the lab’s current needs. Students are encouraged to familiarize themselves with journal papers published by our group (brain.cuhk.edu.hk). |
Research Project (3): | Infant Speech Perception & Language Development |
Project Description: | In this project, students will participate in an ongoing cohort study to identify early predictors of language and cognitive development. 300 infants are being longitudinally studied for up to 5 years. Students will work closely with a member of the lab to conduct a literature review, brainstorm ideas for specific experiments, collect data on experiments that are ongoing, and/or analyze existing data.
Students will work as a member of a research team. Specific duties will be assigned at the first meeting after discussing the students’ backgrounds and interests, as well as the lab’s current needs. Students are encouraged to familiarize themselves with journal papers published by our group (brain.cuhk.edu.hk). |
(In alphabetical order of CUHK department and surname of supervisor)
CUHK Supervisor: | Prof. KING Ronnel Bornasal |
Research Project (1): | Social and Emotional Learning |
Project Description: | This project aims to: 1. Identify the nature and understand the importance of social-emotional learning for students’ development. 2. Apply descriptive statistics and basic inferential statistics to understand the data 3. Draw out key empirical insights from the data analyses of the survey. 4. Create a plan to improve students’ social and emotional learning in the school contextBackground: Students doing undergraduate degrees in the social sciences, specifically psychology and education are preferred. Background in quantitative analysis is preferred.Specific requirements: Analysis of secondary data; writing up of a brief research paper, poster presentation |
Research Project (2): | Growth Mindset |
Project Description: | This project aims to: 1. Identify the role of growth mindsets in students’ learning and well-being 2. Apply descriptive statistics and basic inferential statistics to understand the data 3. Draw out key empirical insights from the data analyses of the survey. 4. Create a plan to improve students’ growth mindsets in the school contextBackground: Students doing undergraduate degrees in the social sciences, specifically psychology and education are preferred. Background on quantitative analysis is preferred.Specific requirements: Analysis of secondary data; writing up of a brief research paper, poster presentation |
Research Project (3): | University Students’ Motivation and Engagement |
Project Description: | This project involves qualitative research into the motivation and engagement of university students. Participants will be asked to interview 10-15 students, conduct thematic analysis, and write up the results.
Background: Students doing undergraduate degrees in the social sciences, specifically psychology and education are preferred. Some background on qualitative analysis is preferred. Specific requirements: Conducting interviews, engaging in thematic analysis, writing up of a brief research paper, and poster presentation |
CUHK Supervisor: | Prof. Wing Chee Catherine SO |
Research Project (1): | Promoting Autism Parenting |
Project Description: | Promoting Autism Parenting Intervention (PAPI) aims to educate and train parents of autistic children knowledge about autism and skills in training their children. We have developed several skill set curriculum training parents to develop their children’s sensory and social skills. |
Research Project (2): | Development of Robotic Assessment System for Autism |
Project Description: | This project aims to develop objective and scalable assessment system for autism using robots. We are programming robots to detect children’s atypical eye gaze, repetitive motion, and stereotyped speech. |
CUHK Supervisor: | Dr. John O’REILLY |
Research Project (1): | Assessment of Bone Health and Body Composition and Nutritional Intake of Professional Athletes |
Project Description: | Background reading on the relevant topic, along with data collection, assessment and analysis of professional athletes in Hong Kong. |
Research Project (2): | Physical Activity and Psychosocial Assessments of Schoolchildren in Hong Kong |
Project Description: | Background reading on the relevant topic, along with data collection, assessment and analysis of schoolchildren in Hong Kong pre- and post- exercise programme intervention. |
CUHK Supervisor: | Prof. Yijian YANG |
Research Project (1): | Understanding the Structure of Gait Variability Among Children with Developmental Coordination Disorder (DCD) |
Project Description: | Developmental Coordination Disorder (DCD) is a neurodevelopmental disorder that affects children’s learning and control of motor skills, and hence their daily activities. Despite the reported consequences of poor academic performance, physical inactivity and low self-efficacy, this needy population is largely underrecognized by healthcare and educational professional. The study sought to understand the structure of gait variability among DCD children through comparisons with their typically developed counterparts and hence shed light into the possible mechanisms and inform effective intervention strategies for the disorder.
In this project, students will be involved in: (i) performing DCD screening tests for children in local schools; (ii) assisting with data collection and analyses for gait variability and muscle synergy in a standard exercise biomechanics laboratory setting; (iii) assisting with data collection and analyses using functional near-infrared spectroscopy (fNIRS). Students with academic background in kinesiology, exercise science, physical education or other related majors, and/or prior experience in simple programming (e.g., MATLAB, Python) are preferred. |
Research Project (2): | Multicomponent Physical Activity Programs to Promote Safe Mobility and Prevent Falls in Older Adults in Care Facilities |
Project Description: | Safe mobility allows older adults to maintain independence. Most existing physical activity programs for older adults focus on lower limb strength, which may overlook the importance of functional mobility, upper limb strength and core stability in safe performance of activities of daily living (ADLs) and injury prevention among older adults.
In this project, students will be involved in: (i) promoting a previously developed multicomponent physical activity program (Mobility-Fit) in care facilities in Hong Kong; and (ii) collecting and analyzing data related to safe mobility of older adults (e.g., gait performance, functional mobility performance, muscular strength, trunk stability, cognitive function, and daily physical activity level). Students with academic background in exercise science or health-related subjects, and with interest in working with older adults are preferred. |
Research Project (3): | Effect of Customized 3D-Printed Hip Protectors on User Compliance in Older Adults in Care Homes |
Project Description: | More than 95% of hip fractures in older adults are caused by falls. Hip protectors have been promoted for the prevention of hip fractures in older adults. However, user compliance (acceptance and adherence) is generally low (<40% in care homes), mainly due to discomfort (e.g., bulky, unbreathable and unisize), especially during summer. To address this issue, we propose to develop and evaluate the effects of lightweight, breathable, customized 3D-printed hip protectors, compared with a conventional hip protector, on biomechanical performance and user compliance in older adults residing in care homes.
In this project, students will be involved in: (i) assisting with the development of customized 3D-printed hip protectors; (ii) evaluating the biomechanical performance of hip protectors; (iii) collecting and analyzing data related to the user compliance and fall-related hip injuries among older adults in care homes. Students with academic background in exercise science, engineering or health-related subjects, and with interest in working with older adults are preferred. |
(In alphabetical order of CUHK department and surname of supervisor)
CUHK Supervisor: | Prof. Liting DUAN |
Research Project (1): | Optogenetic Control of Intracellular Signaling Pathways in Living Cells for Biomedical Applications |
Project Description: | This project will lead you onto a vibrant journey that uses light, not just to see, but to control and explore the complex intricacies of cellular behaviors. In our unique optogenetic systems, cells are not just observed-they are transformed. We genetically engineer them to express photosensitive proteins, making them responsive to light pulses. The heart of this innovative method is the creation of these photosensitive fusion proteins that leap into action under light illumination.
In this project, you will participate in the development of these fusion proteins, integrating photosensory proteins to manipulate signaling pathways in living cells. You will not only watch these pathways come to life through live cell imaging but also validate their activation using various methods such as immunoblot experiments.With the power to control signaling pathways using light, we can delve deeper into the mechanisms that drive various physiological and pathological processes. This knowledge paves the way for the development of light-gated precision gene therapies for related diseases – potentially revolutionizing treatments that can change lives.As part of our team, you will acquire essential cloning techniques to create DNA sequences of interest master live cell fluorescence imaging, and fine-tune your immunoblot skills. This project offers a rich, interdisiplinary learning experience, blending elemnts of chemistry, biology, molecular biology, chemical biology, genetics, bioengineering, and biomedical engineering.We warmly invite students from any related discipline – be it chemistry, biology, molecular biology, chemical biology, biological chemistry, genetics, bioengineering, biomedical engineering, or life science – to apply. |
Research Project (2): | Unveiling Cellular Mysteries: Development of Novel Tools to Study Intracellular Activities and Functions |
Project Description: | Cells are not merely vessels of life﹔ they are intricate microcosms brimming with complex organelles like the
ER, mitochondria, lysosomes, and nuclel. These organelles, occupying a significant portion of cell volume, are the unsung heros behind normal cellular functioning. Despite the rapid advancements over the last two decades, the cellular landscape still holds numerous mysteries. This is where you come in! In this project, we aim to develop new innovative tools, like optogenetics-based methods, to decode the intricacles of organelle dynamics, understand their functions, and reveal the interactions between them under varies physiological and pathological conditions. By shedding light on these cellular enigmas, we can push the boundaries of our understanding of the roles of organelles in health and disease. The knowledge we gain could potentially revolutionize our approach to giagnosing and treating a wide range of diseases. Regardless of your background – whether it be chemistry, biology, molecular biology, chemical biology, biological chemistry, genetics, bioengineering, biomedical engineering, or life science – we eagerly invite you to apply. |
CUHK Supervisor: | Prof. Kai Yu Raymond TONG |
Research Project (1): | Augmented Reality Training Platform and Bilateral Treadmill for Enhancing Brain Function |
Project Description: | This project involves software development on a game/training interface to improve cognitive function for adults and kids. The students should have good development and debugging skills in using at least one of the following languages: C/C++, C#, Python, and Java.
Applicants with experience in machine learning, data analytics, and/or augmented reality (AR) applications are preferred. |
Research Project (2): | Development of Soft Robotic and Textile Technologies for Enhanced Sports Safety |
Project Description: | This project involves the development of software and hardware for soft robotic and textile technologies aimed at improving safety and stability for sports enthusiasts. The focus will be on creating adjustable, stabilizing support systems that can be tailored to various sports activities. The project will also emphasize the integration of waterproof and comfortable designs suitable for outdoor use.
The ability to design and implement user-friendly interfaces for game/training applications is required. Engineering, design, or textile background will be considered. |
Research Project (3): | Soft Robotic Design for Biomedical Engineering Applications |
Project Description: | Design and evaluate a new type of soft robotic device for medical applications, including rehabilitation and assistive technology.
Students should have skills in drawing (e.g., SolidWorks), 3D printing, or control systems. |
CUHK Supervisor: | Prof. Li Yu |
Research Project: | Open Topics of AI in Biology/Health |
Project Description: | The students are expected to have a fundamental background in programming and AI. We will explore the application of AI in the biology or health field. If the students aim high, we can also explore the possibility of publication.
The time and location are flexible. |
CUHK Supervisor: | Prof. Hongliang REN |
Research Project (1): | AI-based Multimodal Guidance for Snake Robot in Confined Environment |
Project Description: | With multiple degrees of freedom, a flexible snake robot can work inside the human body and carry out diagnostics and operations. A conventional rigid articulated robot system has limits in a confined and complicated area. In this study, we will address one of the key challenges for the snake robotic intervention system: AI-based image guidance and motion control for deformable snake robots in confined deformable environments. This will involve computer-based surgical simulation using existing medical images and motion planning and hands-on experiments in collaboration with the robot developers. The student has the chance to work with a team and clinical collaborators.
Prefer EM/EE/CS/Robotics study background, language requirement: English, no field trips. Please visit our website for related projects: labren.org |
Research Project (2): | Deeply-Learned Programmable Robots with Mechanoelectrical Perceptions for Biomedical Applications |
Project Description: | This research focuses on data-driven deep learning-based AI techniques for soft robotics with programmable metamorphic capabilities, endowing them with skin-like mechanoelectrical sensory capabilities to enhance their functionality. For example, in in-vivo medical procedure, the mechanoelectrical perception ability is essential for a reconfigurable robotic platform to adapt to the changing confined biological environments. The provided sensory feedback and AI-based perception can improve the efficacy and efficiency of in-vivo procedures and hence be of great aid to the interventionists.
Prefer EM/EE/CS/Robotics study background, language requirement: English, no field trips. Please visit our website for related projects: labren.org |
Research Project (3): | Flexible & Stretchable Sensing Electrodes for Soft Robots |
Project Description: | We have been working on flexible electrodes and robotics. This project will attempt to explore using flexible and stretchable electrodes for soft biomedical robots. The properties of electrodes and the performance of the soft robots and sensors will be optimized. The static and dynamic performance of soft robots will be investigated.
Prefer EM/EE/CS/Robotics study background, language requirement: English, no field trips. Please visit our website for related projects: labren.org |
CUHK Supervisor: | Prof. Martin STOLTERFOHT |
Research Project (1): | Understanding Energy Loss Mechanisms During Perovskite Solar Cell Degradation |
Project Description: | The installed capacity of photovoltaic (PV) cells is currently growing at a rapid pace on a global scale to curb climate change and global heating. As Si cells have reached their fundamental limits, the industry is urgently looking for future alternatives and technological innovation. To this end, perovskite semiconductors with the chemical structure ABX3 are currently being extensively researched for use in solar cells. However, despite significant progress, the stability of the perovskite cells is still inferior to the stability of Si which compromises the energy-lifetime yield. In this project, we will employ a range of experimental methodologies to decouple all major recombination losses during device degradation. This knowledge is essential to improve the stability of all perovskite-based single- and multi-junction cells.
Students majoring in experimental physics, chemistry, material science, mechanical engineering, and/or electronic engineering are welcome to join. |
Research Project (2): | Understanding and Levering Recovery for Efficient Perovskite-Based Solar Cells |
Project Description: | In the last decade, halide perovskite semiconductors have triggered a revolution in solar cell research. In part, this is due to their outstanding electro-optical properties and their successful integration into tandem cells with established and emerging photovoltaic (PV) technologies. Another intriguing poperty of perovskite solar cells, that is distinct from all other semiconductor solar cell technologies, is their ability to heal from degradation losses when left in the dark. For example, it has been observed that the cells can fully recover during the night after they degraded to 50% of their initial performance during the day.
The reason for this behaviour are mobile ions which opens up new strategies to improve the stability of the cells. In this project, we aim to decouple recoverable and non-recoverable degradation losses during maximum power point tracking and understand to which extend ionic losses can be recovered. Finally, we will investigate different strategies to promote the self-healing of perovskite solar cells. Students majoring in experimental physics, chemistry, material science, mechanical engineering, and/or electronic engineering are welcome to join. |
Research Project (3): | Deciphering Ionic and Shallow-Trap Degradation Modes in Perovskite Semiconductors |
Project Description: | Perovskites is considered to be a next-generation solar cell technology that may become mainstream in the future if the material and stability limitations can be overcome. The rather poor perovskite stability is usually attributed to chemical decomposition under moisture and oxygen, which is in principal preventable with advanced encapsulation methodologies, as well as defects, and/or mobile ions. Therefore, it is of key importance to decouple the effect of shallow traps and mobile ions. However, both are closely related, because if atoms are displaced from the lattice in perovskite semiconductors, mobile ions, and shallow traps are created.
In this project, we aim to decouple the effects of shallow taps from mobile ions by investigating how mobile ions and shallow traps affect the results of various optoelectronic experimental results such as scan-rate dependent current-voltage characterization (“fast-hysteresis”), conductivity, photoluminescence on partial cell stacks, and transient charge extraction. This project is a direct continuation of recent studies on ion migration in perovskite semiconductors (https://doi.org/10.1038/s41560-024-01487-w). Finally, based on the simulations, experiments will be conducted to disentangle the effects of both during degradation. |
CUHK Supervisor: | Prof. Xiankai SUN |
Research Project (1): | Novel Photonic Nanostructures for Integrated Photonics |
Project Description: | Introduction: conducting research in a lab environment
Preferred field: physics, optics, acoustics, electronics, or materials |
Research Project (2): | Physics and Applications of Nano-Optics and Nano-Optomechanics |
Project Description: | Introduction: conducting research in a lab environment
Preferred field: physics, optics, acoustics, electronics, or materials |
Research Project (3): | Photonics Based on Two-Dimensional Nanomaterials |
Project Description: | conducting research in a lab environment
Preferred field: physics, optics, acoustics, electronics, or materials |
CUHK Supervisor: | Prof. Hon Ki TSANG |
Research Project: | Silicon Photonic Based Optical Coherence Tomography Imaging System |
Project Description: | Spectral Domain Optical Coherence Tomography (OCT) is a technique to capture three-dimensional images by using a white light source (such as a low-coherence LED) to illuminate an object and measuring the spectral interferogram obtained by mixing the light reflected from the object and light reflected from a reference path with similar distance from the light source as the object.
In this project we will build an OCT system using an integrated silicon photonic spectrometer, similar to the one described in our previous paper (https://doi.org/10.1364/PRJ.443039). The student will be responsible for the data acquisition (including optical experiments building the optical imaging system) and data processing to reconstruct the 3D image from the spectral data. Students are expected to have strong science and technology background, familiar with Matlab, and have basic knowledge of mathematics including the use of Fourier transforms, and the ability to write software to acquire data |
CUHK Supervisor: | Prof. Dohyun AHN |
Research Project: | Credit Risk Measurement and Management |
Project Description: | Credit risk measurement and management are fundamental aspects of financial operations. These practices involve assessing and mitigating the potential for financial loss resulting from the failure of borrowers to meet their obligations.
By employing robust methodologies and strategies, organizations can effectively gauge, monitor, and control credit risk, safeguarding their financial health and stability. The main objective of this project is twofold: to (1) study core methodologies for measuring and managing credit risk and (2) to apply these methodologies to address real-world problems. |
CUHK Supervisor: | Prof. Viet Anh NGUYEN |
Research Project: | Agentic Language Models for Business and Fintech Decision-Making |
Project Description: | Traditional AI models can respond to prompts or execute predefined tasks impressively. Agentic AI goes beyond traditional AI by incorporating a “chaining” capability: it can take a “sequence” of actions in response to a single request, breaking down complex tasks into smaller, manageable steps or coordinating among multiple agents to achieve a common goal. Agentic AI systems have a high degree of autonomy and can act with minimal human supervision. Agentic AI could revolutionize business and financial technologies of the future.
In this project, the student(s) will build advanced agents using language models to solve real-world business and financial technology decision problems. The students should (i) have good programming (Python) skills, (ii) have basic understandings about language models, (iii) be excited about agentic decision-making. |
CUHK Supervisor: | Prof. Xixin WU |
Research Project: | Large Language Model Distillation |
Project Description: | In recent years, the advent of large language models (LLMs) has revolutionized natural language processing (NLP) capabilities, empowering various applications across industries. However, the computational demands and memory requirements of these models pose challenges for widespread deployment, particularly in resource-constrained environments. To address this issue, this project will explore LLM distillation techniques, aiming to retain the power and knowledge of LLMs while creating more compact, efficient versions. |
CUHK Supervisor: | Prof. Bryan DRUZIN |
Research Project (1): | The Future of International Law |
Project Description: | This summer project aims at introducing the student to methods of research regarding the emergence of international law. Emphasis will be placed on data collection and analysis. The summer project will be conducted entirely in English. The key outcomes are for the students to:
– develop his/her knowledge and understanding of the core principles of empirical legal research; |
Research Project (2): | Understanding Globalisation |
Project Description: | This summer project aims at introducing the student to core methods of empirical research regarding globalization. Emphasis will be placed on data collection and methods of empirical analysis. The summer project will be conducted entirely in English. The key outcomes are for the students to:
– develop his/her knowledge and understanding of the core principles of globalization |
(In alphabetical order of CUHK department/school and surname of supervisor.)
CUHK Supervisor: | Prof. Huarong CHEN |
Research Project: | RNA Modifications in Colorectal Cancer: Functions, Mechanisms, and Translational Implications |
Project Description: | Our recent research has uncovered a novel regulatory mechanism in gastrointestinal cancer, shedding light on the crucial role of RNA N6-Methyladenosine (m6A) modification in tumor growth, metastasis, and immune evasion. These findings not only deepen our understanding of gastrointestinal cancer but also have significant implications for its diagnosis and treatment. In this pioneering project, we aim to explore how abnormal changes in host m6A modification patterns impact the gut microbiota and microbial metabolism during colorectal cancer (CRC) progression. By investigating the effects of dysregulated m6A modification on CRC development and the regulatory pathways involved in intestinal microecology imbalances, we seek to advance innovative strategies for enhancing CRC treatment.
Specific requirements: |
CUHK Supervisor: | Prof. Yee Kwan Elaine CHOW |
Research Project: | A Personalised Health Coach with Wearable Technologies for Intensive Lifestyle Intervention in Prediabetes |
Project Description: | This clinical study will provide intensive lifestyle intervention with wearables to 350 people with prediabetes for 6 months. The student will assist with collecting and analyzing demographic, anthroprometric or dietary data under the supervision of staff, observe conduct of oral glucose tolerance tests, faecal microbiota analysis, assist with completion of quetsionnaires and data entry. The student will have the opportunity to observe dietary and lifestyle coaching for individuals with prediabetes.
Language: proficiency in Cantonese/Chinese written or spoken is preferred |
CUHK Supervisor: | Prof. Pik Shan Alice KONG |
Research Project: | Lifestyle Factors & Team Based Care in the Management of People with Obesity and/or Diabetes |
Project Description: | Project Objectives: Through the active participation in a short-term project involving Hong Kong adults with obesity and/or diabetes, this attachment aims to inspire the students regarding the importance of team-based care and expose them to clinical research related to the examination of lifestyle factors, including sleep, physical activity, diet and their impact on physical health.
Expected Learning Outcomes: At the end of the attachment, students are expected to have a better understanding about the background regarding published evidence relating various lifestyle factors and physical health in patients with obesity and diabetes; study methodology in research related to these lifestyle factors and health; data analysis including descriptive statistics and some fundamental principals in doing statistical analysis to examine correlations; and how to conclude and write up a short report. |
CUHK Supervisor: | Prof. Tsz Chun LAI Eric |
Research Project: | Understanding the Social Determinants of Healthy Ageing |
Project Description: | Healthy ageing is defined as developing and maintaining the functional ability that enables well-being in older age. Although people are living longer, the average length of time someone can expect to live in good health has not improved in many countries. This means more people are spending their older years in poor health or with disabilities.
This study aims to understand the impact of a broad range of wider social factors such as socioeconomic status, education, social support networks, living conditions, and access to healthcare and community resources. Participants in this research project will engage in a comprehensive review of the literature to examine existing evidence on the impact of social determinants on healthy aging. They will have a chance to conduct quantitative analysis using publicly available longitudinal cohort data. This summer undergraduate research project offers a unique and rewarding experience for students interested in gerontology, public health, sociology, or related fields. Interested students from other fields are also welcome. |
CUHK Supervisor: | Prof. Qiaoyi LIANG Jessie |
Research Project (1): | Microbial Markers for Non-Invasive Diagnosis of Colorectal Cancer |
Project Description: | The team is working on new markers that can improve the diagnostic sensitivity for CRC and adenomas. We are also conducting a multi-center study with collaborators from different Asian countries to validate our new tests in different populations. This project will equip students with basic lab skills in molecular biology, such as DNA extraction and PCR/qPCR assays, and knowledge about molecular diagnosis, as well as statistical modelling. |
Research Project (2): | Functional Investigation of Key Bacteria in Colorectal Tumorigenesis |
Project Description: | The team is focusing on investigation of the roles and molecular mechanisms of some bacterial species in promoting or suppressing colorectal tumorigenesis. This project will equip students with basic lab skills in molecular and cellular biology, such as DNA/RNA/protein extraction, PCR/RT-PCR/qPCR, western blot, cell culture, bacterial culture, cell viability assay, colony formation assay, etc. |
CUHK Supervisor: | Prof. Nga Man LUI Juliana |
Research Project: | Precision Prevention Programme on Young Onset Diabetes |
Project Description: | Join Our Team as a Summer Intern!
Are you ready to make a difference this summer? We are thrilled to announce the launch of the Jockey Club Precision Prevention Programme on Young Onset Diabetes—a groundbreaking initiative aimed at helping young people at genetic risk for diabetes take proactive steps towards their health! What We’re About – Your Role – Who We’re Looking For – Why Join Us? – For more info: https://jc-pppyod.adf.org.hk/ |
CUHK Supervisor: | Prof. SU Qi |
Research Project (1): | Function and Mechanism of Akkermansia Muciniphila in Relieving Diarrhea-Predominant Irritable Bowel Syndrome via Inosine-A2AR-PPARγ-AQP1 axis |
Project Description: | Gut microbiome modulation is a potential therapy for alleviating irritable bowel syndrome (IBS), but traditional probiotics have shown limited efficacy. Preliminary data demonstrated that there is a significant correlation between the clinical alleviation in Diarrhea-predominant IBS (IBS-D) patients and the abundance of Akkermansia Muciniphila and its metabolic product inosine following fecal microbiota transplantation; A. Muciniphila and inosine are significantly correlated with the expression levels of the diarrhea-related gene AQP1; The inosine receptors A2AR and the transcription factor PPARγ may be key host genes mediating the regulation of AQP1 by A. Muciniphila and inosine, suggesting that A. muciniphila may regulate intestinal water balance through the inosine-A2AR-PPARγ-AQP1 axis, improving diarrhea symptoms and thereby alleviating IBS-D. This project proposes to evaluate the function of A. muciniphila or inosine in alleviating IBS-D through systematic animal experiments and to elucidate the related molecular mechanisms, providing practical evidence and theoretical support for the development and translation of A. muciniphila or inosine-based therapeutic methods for IBS-D.
Students with interests in gut microbiome and gastroenterology are welcome. The working language is English. |
Research Project (2): | Gemmiger Formicilis as a Novel Probiotic Treatment for Alleviating Insomnia |
Project Description: | Background: Post-acute COVID-19 syndrome (PACS) is associated with insomnia, but treatment options are limited. The aetiology of insomnia may be secondary to alterations in the gut microbiota. Probiotics are potential therapeutic options for post-COVID insomnia.
Preliminary data: Gemmiger formicilis was negatively associated with the presence and severity of post-COVID insomnia; depletion of G. formicilis during acute SARS-CoV-2 infection predicted a tenfold higher risk of insomnia after viral clearance; engraftment of G. formicilis was associated with clinical remission after fecal microbiota transplantation in patients with post-COVID insomnia. Objectives: To investigate the mechanism, function, and translational potential of G. formicilis in alleviating post-COVID insomnia Hypotheses: G. formicilis and its metabolites could alleviate insomnia, which might be mediated by their modulatory effects on the gut microbiota and host intestinal function. Study design: 1) Human blood, stool and intestinal biopsy samples will be analyzed using multi-omics to investigate the mechanisms underlying the effect of G. formicilis on post-COVID insomnia. 2) Mice models of insomnia will be employed to assess the potential therapeutic effects of G. formicilis and its metabolites. Symptoms and severity of insomnia will be documented. Blood, stool and intestinal biopsy samples will be analyzed using multi-omics to verify the findings from human samples. 3) whole genome sequencing, in vitro culture analysis and in vivo incubation assessment will be performed to test the safety and translational potential of G. formicili. Long-term impact: Findings of this study will potentially open novel therapeutic avenues for using G. formicili and its metabolites to improve post-COVID insomnia. Students with interests in gut microbiome and sleep disorders are welcome. The working language is English. |
Research Project (3): | Dissecting the Role of Ubiquinol-7-Producing Bacteria in Alleviating Autism Spectrum Disorders |
Project Description: | Autism Spectrum Disorder (ASD) is characterized by complex changes in human behavior, including social interaction and behavioral norms. In addition to genetic risk, there are also differences in gut microbiota between with normal development and ASD individuals. Associations between the gut microbiome and ASD have been investigated, and the latest research suggested that the Ubiquinol-7 biosynthesis pathway played a crucial role in diagnosing children with ASD, which was less abundant in ASD patient. The aim of this proposal is to investigate the specific mechanisms by which Ubiquinol-7 and its producing bacteria alleviate ASD. The expected outcomes will provide a new insight into ASD and highlight potential therapeutic targets to alleviate ASD.
Students with interests in gut microbiome and autism are welcome. The working language is English. |
CUHK Supervisor: | Prof. CHEN Zigui |
Research Project (1): | Host-Microbiota Interactions Associated with Head and Neck Squamous Cell Carcinoma (HNSCC) |
Project Description: | Using multi-omics datasets generated by the research group and available in the public domains, including 16S microbial community, host transcriptome, and DNA CpG methylation, to understand the complexity of host-microbiota interactions in patients with upper aerodigestive tract malignancies.
Previous training in microbiology, molecular genomics and/or bioinformatics is preferred while the student will have access to our high-performance serve to analyze next-generation sequencing data using multiple bioinformatics and biostatistical approaches to understand the interaction between human microbiota and host genetics in the pathogenesis of HNSCC. |
Research Project (2): | Molecular Evolution and Genomic Diversity of SARS-CoV-2 and/or Papillomaviruses |
Project Description: | Using publicly available dataset and multiple evolutionary algorithms to understand the molecular evolution and genomic diversity of RNA virus (e.g. SARS-CoV-2 causing COVID-19) and/or DNA virus (e.g. Human papillomaviruses causing cervical cancer).
Previous training in virology, molecular genomics and/or bioinformatics is preferred while the student will have access to our high-performance serve to analyze next-generation sequencing data using multiple bioinformatics and molecular phylogeny approaches to understand the evolution, phylogeny and genetic heterogenicity of SARS-CoV-2 and/or Papillomavirus. |
CUHK Supervisor: | Prof. Koon Chi Christopher LAI |
Research Project: | Improving the Management of Bloodstream Infections with Machine Learning |
Project Description: | Students enrolled in the course will learn the basics of blood stream infections. They will learn the important organisms responsible for blood stream infections and the clinical features. They will learn the basics as well as novel laboratory methods to diagnose bloodstream infections. Finally, they will learn to utilize machine learning in stratifying risk and giving accurate prognostic information for BSI patients
Learning Outcome: Language:
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CUHK Supervisor: | Prof. Iris NG |
Research Project (1): | Community Capacity Building for Promoting Hearing Health and Communication in Older Adults |
Project Description: | Hearing loss affects an estimated 30 million people in the United States and can have a significant impact on communication, social participation, and overall health and quality of life. Despite the high prevalence and public health impact of hearing loss, only about one-fifth of people who could benefit from a hearing aid seek intervention. The use of hearing aids has been linked to, among other health benefits, reductions in the incidence or severity of cognitive decline, depression, and other health problems in older adults. Additionally, benefits of hearing aid use can include improved social participation and a better quality of life. Besides health benefits for individuals, more-widespread adoption of hearing aids could have broader effects. By increasing social participation, hearing aids could help to improve inclusion of individuals in family, economic, civic, and religious life. Thus, reducing barriers to hearing aid access might contribute to such improvements.
Several barriers likely impede the use of hearing aids in hearing-impaired individuals such as high cost, stigma of being perceived as old or debilitated, and value (perceived hearing benefit relative to price). In our local community, is there anything we can do to reduce these barriers to accessing hearing healthcare and rehabilitation too? |
CUHK Supervisor: | Prof. Wan Yi CHAN |
Research Project (1): | Exosomes as Diagnostic Tools |
Project Description: | The project aims to explore the potential of exosomes as reliable and noninvasive biomarkers for various diseases. It will focus on analyzing exosomes derived from respiratory fluids, blood, and urine specimens to identify biochemical and pathophysiological markers. These markers could help diagnose diseases that are underdiagnosed or with transient clinical presentations that are overtreated.
Study Background Interns will gain hands-on experience in: Specific Requirements: |
Research Project (2): | Therapeutics Screening Platform for Acute and Chronic Respiratory Diseases |
Project Description: | This project aims to develop and optimize innovative screening methods for potential treatments targeting respiratory conditions. This project will utilize advanced models such as cell lines, primary cells, air-liquid interface respiratory cell models, respiratory cell-immune cell co-culture models, organoid models, and explant culture models of the respiratory system. We will explore both small molecule therapies and cell-based therapies, focusing on their efficacy against respiratory viruses and other related diseases.
Interns will gain hands-on experience in: Specific Requirements |
CUHK Supervisor: | Prof. Sze Yin Agnes LEUNG |
Research Project (1): | Exploring Food Immunotherapy in Pediatric Allergies |
Project Description: | Join our team this summer in an immersive research program focused on advancing food immunotherapy in children with allergies. This unique opportunity delves into clinical and laboratory aspects of immunotherapy for a range of food allergens, including peanuts, fish, and tree nuts. Students will participate in hands-on clinical activities, such as oral food challenges and immunotherapy sessions, gaining practical experience in managing pediatric allergy cases.
Additionally, students will engage in laboratory techniques integral to immunology research, including clinical specimen handling, PBMC (Peripheral Blood Mononuclear Cell) cryopreservation, and running ImmunoCAP assays for specific IgE measurement. Our program also involves participating in double-blind, placebo-controlled clinical trials, providing invaluable insight into rigorous clinical research methodologies. This program is ideal for students eager to explore clinical research, gain foundational immunology knowledge, and experience working with children. Join us for a lifelong learning experience that will equip you with skills and insights into pediatric allergy management, clinical immunotherapy, and lab-based research in immunology. Allergy CUHK is dedicated in the development of novel therapeutic options for food-allergic patients. Our team has been offering precision diagnosis for seafood allergy and also commenced Hong Kong’s first randomized controlled trial on food immunotherapy, including immunotherapy for peanut, fish, treenut, wheat and shrimp. Our aim is to provide safe and effective treatment options for food-allergic patients, improving their health-related quality of life by reducing the rate of adverse reactions during OIT, and alleviating the constant fear of accidental food allergen ingestion and the overall risk of potentially life-threatening allergic reactions. Such as approach to food allergy management. SURP students are invited to join CU Allergy in gaining first-hand experience on how the allergy team interacts with patients, provides immunotherapy, and addresses patients’ needs. They can engage in allergy-specific procedures, patient assessment, and communication with children and their families. Most importantly, they will be able to experience how a research team runs a clinical trial and get the opportunity to analyze and present research data. |
Research Project (2): | Assessing School Preparedness for Food Allergies in Hong Kong: A Multinational Community Study |
This summer, join an impactful research project evaluating how Hong Kong schools manage food allergy needs and support children with life-threatening conditions. In this multinational collaboration, students will explore the preparedness of schools in handling food allergies and gain a unique perspective on the intersection of education, public health, and community support.
Through fieldwork that includes interviews with school staff, data collection, and analysis, students will investigate current school practices, challenges, and resources related to food allergy management. The findings will provide critical insights into local and regional approaches, helping inform tailored strategies for enhancing allergy awareness, healthcare support, and educational interventions. This project is an exceptional opportunity for students passionate about community engagement, public health, and epidemiological research, allowing them to actively contribute to solutions that support children’s safety and well-being in school environments. |
CUHK Supervisor: | Dr. Ngan Yin Rachel CHAN |
Research Project (1): | Smartphone-Based Mood-Enhanced Sleep Intervention for Adolescents at Risk of Depression |
Project Description: | Insomnia and depression are common and highly comorbid. Evidence shows that 35-47% of individuals with sleep disturbance having clinically significant depression and 60-84% of people with MDD reported sleep complaints. In addition, adolescents with insomnia are at 4-5 times greater risk for experiencing depression, and those with depression are also at 2-3 times greater risk for developing insomnia. In particular, adolescent concurrently experiencing sleep and mood problems are typically at a higher risk of adverse health outcomes. This particular group is usually much more difficult to treat, with a poorer prognosis, suggesting that this group maybe in particular need for effective treatment.
This study aims to further examine the efficacy of mood-enhanced sleep intervention to address the specific need of mood components in the adolescent population using digital format. Students involved in this project will be assisted in data collection, development and delivery of digital intervention, data analysis. Proficiency in English is required and knowledge in Chinese is preferred. |
Research Project (2): | Toward Personalized Care for Insomnia: A Machine Learning Model to Predict Response to Cognitive Behavioral Therapy for Insomnia in Adults |
Project Description: | Cognitive Behavioral Therapy for Insomnia (CBT-I) is recognized as the first-line treatment for insomnia in adults. However, only 60-70% of patients experience a positive response to this therapy. Identifying the characteristics of individuals who are less likely to benefit from CBT-I is crucial for guiding treatment options and moving towards personalized medicine. By utilizing machine learning techniques, we can analyze extensive datasets to predict treatment responses. Students participating in this project should have a foundational understanding of computer science and experience in applying machine learning methods to clinical research. They will contribute to data collection, statistical analysis, and the preparation of research papers. |
CUHK Supervisor: | Dr. Man Ho LI |
Research Project (1): | Harnessing Multimodal AI: Capturing Real-World Mental Health Insight |
Stable risk factors for mental health, like age, background, and previous mental health issues, are typically assessed through interviews and surveys at a single timepoint. However, this method may overlook the changing aspects of mental health, such as mood swings that can occur in different situations. Because of this, there is increasing interest in gathering real-life experiences from people for analysis using AI. This project aims to study different factors—like voice, language, facial expressions, and activity data—collected from patients in their everyday lives. Preference will be given to native Chinese speakers. | |
Research Project (2): | Evaluating the Impact of Generative AI on Mental Health Education |
Project Description: | Generative AI (GenAI) is good at giving accurate answers based on the questions people ask. To get the best responses, it is important to use relevant questions with the right keywords, especially in educational settings. This project will evaluate how well GenAI works for mental health education by looking at how learners interact with it. Students participating in this project will have hands-on experience with creating effective prompts and analyzing data. Preference will be given to native Chinese speakers. |
Research Project (3): | Exploring Language Patterns: Uncovering Suicidal Thoughts through AI |
Recent studies using behavioral and brain imaging techniques have shown a strong link between how we use language and our social-emotional processing. Research into the psychometrics of language has found connections between the words people use and their mental states. This project aims to analyze clinical transcripts to identify signs of suicidal thoughts based on language patterns. The findings will provide initial insights into the language features related to suicidality. Students will learn basic methods for creating text-based AI models to help detect suicidal ideation. Preference will be given to native Chinese speakers. |
CUHK Supervisor: | Prof. Junjie HUANG |
Research Project (1): | Cancer Burden in Low- & Middle-Income Countries |
Project Description: | Cancer is one of the leading causes of death globally. This project aims to evaluate the burden of cancer in low- and middle-income countries using publicly available databases. Students participating in this project will learn how to collect data, generate descriptive results, perform minimal statistical analysis, and interpret the results in the format of a presentation or report using global databases with the team. The applicants do not necessarily need to be from low- & middle-income countries. Students interested in global health or non-communicable diseases are welcome to apply. They should have a good command of spoken and written English (Chinese is not required). Experience in academic writing would be an advantage. Filed works will not be required. The students will have a chance of co-authoring journal and conference publications, which may benefit their CV for future studies. |
Research Project (2): | Lifestyle Risk Factors in Low- and Middle-Income Countries |
Project Description: | Unhealthy lifestyle is an important preventable risk factor for non-communicable diseases. This project aims to evaluate the lifestyle risk factors in low- and middle-income countries using publicly available databases. Students participating in this project will learn how to collect data, generate descriptive results, perform minimal statistical analysis, and interpret the results in the format of a presentation or report using global databases with the team. The applicants do not necessarily need to be from low- & middle-income countries. Students interested in global health or non-communicable diseases are welcome to apply. They should have a good command of spoken and written English (Chinese is not required). Experience in academic writing would be an advantage. Filed works will not be required. The students will have a chance of co-authoring journal and conference publications, which may benefit their CV for future studies. |
Research Project (3): | Mental Disorders in Low- and Middle-Income Countries |
Project Description: | A mental disorder is a behavioral or mental pattern that causes significant distress or impairment of personal functioning. This project aims to evaluate mental disorders in low- and middle-income countries using publicly available databases. Students participating in this project will learn how to collect data, generate descriptive results, perform minimal statistical analysis, and interpret the results in the format of a presentation or report using global databases with the team. The applicants do not necessarily need to be from low- & middle-income countries. Students interested in global health or non-communicable diseases are welcome to apply. They should have a good command of spoken and written English (Chinese is not required). Experience in academic writing would be an advantage. Filed works will not be required. The students will have a chance of co-authoring journal and conference publications, which may benefit their CV for future studies. |
CUHK Supervisor: | Prof. Kin On KWOK |
Research Project (1): | Tackling Antimicrobial Resistance with Multidisciplinary Thinking in Infectious Disease Epidemiology in Hong Kong |
Project Description: | Antimicrobial resistance renders antimicrobials ineffective for treatment. This study explores the determinants for the emergence of antimicrobial resistance in different settings in the population. By the end of the project, candidates should be able to gain domain knowledge of antimicrobial resistance and build up skills in performing systematic review/data analysis, and to gain hands-on experience with data collection in field studies and build up skills in analyzing empirical data. |
Research Project (2): | Tackling Antimicrobial Resistance with Multidisciplinary Thinking in Behavioral Science in Hong Kong |
Project Description: | Antimicrobial resistance refers to the failure of medicines in treating infections as the evolvement of microorganisms becomes resistant to the drugs. Selected candidates will work on projects that address this public health problem from the perspective of behavior science, for example perceived risk of AMR acquisition, through field studies and literature reviews. Candidates are expected to perform field studies to collect the data, systematic review and data analysis. Proficiency in Chinese is an advantage. |
CUHK Supervisor: | Prof. Shelly Lap-ah TSE |
Research Project: | Multiple Environmental Exposures on Health Issues of Healthcare Workers |
Project Description: | This study aims to measure individual nurse’s environmental exposure features (light at day and night, noise and green/blue spaces and assess the mental health impacts (i.e. depression, anxiety) of these environmental exposures. This is an ongoing GRF/RGC funded project. We have already recruited 150 nurses using a standard questionnaire containing information on epidemiology, perceived environmental exposures, sleep quality, and mental health problems (depression/anxiety) using a standard questionnaire.
A package with a portable ambient light data logger, noise dosimeter, and actigraphy will be distributed to the participants to collect individual exposures to light at day and night, noise, sleep, and physical activity. Remotely-sensed vegetation indices coupled with geographic location and questionnaires will be used to assess the green/blue spaces in residential areas and workplaces. Morning spot saliva and urine samples will be collected to assess the biomarker levels (melatonin, cortisone/cortisol). Mental health impacts of exposure to light at day and night, noise, and green/blue spaces among nurses with different work shifts will be examined using multiple logistic/linear regression analysis. This proposed study will provide new insight into improving environmental influences to alleviate nurses’ mental health problems by promoting better green/blue spaces, optimal light, and lower noise. |
CUHK Supervisor: | Prof. Samuel Yeung Shan WONG |
Research Project (1): | The Efficacy of an Online Exercise Intervention for Improving Depressive Symptoms among Patients with Subthreshold Depression in Primary Care: A Randomized Controlled Trial |
Subthreshold depression is a very common mental health issue in primary care and community settings in Hong Kong. The aim of this study is to examine the efficacy of a 12-week online instructor-led exercise intervention in reducing depressive symptoms among people with subthreshold depression in primary care. Students participating in this project will learn the principles of conducting a randomized control trial, including but not limited to: data collection and management, basic statistical analysis, clinical trial logistics, literature review and manuscript writing.
Proficiency in both spoken and written English is essential (Chinese is preferred but not mandatory). Field works are optional. Students participating in this project will be required to conduct research at School of Public Health and Primary Care (inside Prince of Wales Hospital). Students will have the opportunity to participate in manuscript writing, which may be beneficial for their future careers. |
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Research Project (2): | Effects of Community-Based Telecare Intervention in Increasing Compliance and Maintaining Disease Control Among Adults with Hypertension, Diabetes, and Hyperlipidemia in Primary Care: A Randomised Controlled Trial |
Project Description: | Diabetes, hyperlipidemia, and hypertensionare are three of the most prevalent chronic conditions worldwide. This randomised controlled trial (RCT) aims to to examine the effectiveness and cost-effectiveness of a community-based telecare intervention compared to usual care in controlling disease outcomes and improving health-related behaviours among adult patients with diabetes, hypertension, and/or high cholesterol in primary care.
The selected candidates are expected to assist with intervention delivery, assessment, literature review, and manuscript writing. This role offers an opptunity to observe the village environment and experience data collection in clinical trial, while also learning basic data analysis skills. We expect that students will be inspired by their involvement and gain valuable experience from the study. Priority will be given to native Chinese speakers, alothough fieldwork is optional. |
Research Project (3): | A Systematic Review of Acupuncture Guidelines in the Treatment of Common Mental Illnesses |
Project Description: | In primary care in Hong Kong, the management of mental health disorders is receiving increasing attention. The aim of this study is to update and evaluate international guidelines for acupuncture in treating mental health disorders. Students participating in this project will learn how to conduct a systematic review, including literature search, record screening, full-text review, data extraction, quality assessment, and minimal statistical analysis. Proficiency in both spoken and written English is essential (Chinese is preferred but not mandatory). Field works will not be required. Students participating in this project will be required to conduct research at Prince of Wales Hospital. Students will have the opportunity to participate in manuscript writing, which may be beneficial for their future careers. |
CUHK Supervisor: | Dr. Claire Chenwen ZHONG |
Research Project (1): | Global Reproductive Health |
Project Description: | Global reproductive health is a critical area of study that addresses issues affecting individuals and communities worldwide. This project aims to evaluate the burden of reproductive health challenges using publicly available databases. Examples of global reproductive health conditions include gynecological diseases such as uterine fibroids, polycystic ovarian syndrome, female infertility, premenstrual syndrome, urinary disorders, and male infertility. It also encompasses sexually transmitted infections like HIV/AIDS, syphilis, gonorrhea, and chlamydia, as well as maternal disorders, including maternal hemorrhage.
Students involved in this project will gain skills in data collection, generating descriptive statistics, performing basic statistical analyses, and interpreting results for presentations or reports. While a specific background in reproductive health is not necessary, applicants should demonstrate an interest in global health and non-communicable diseases. Proficiency in spoken and written English is essential. Prior experience in academic writing would be beneficial. No fieldwork will be necessary. Participants will have opportunities to publish in journals and present at conferences. |
Research Project (2): | Global Metabolic Risk Factors |
Project Description: | Understanding metabolic risk factors is essential for addressing global health challenges, as they significantly influence the prevalence of non-communicable diseases and overall health outcomes. This project aims to evaluate the burden of diseases associated with various metabolic risks, including but not limit to high fasting plasma glucose, elevated LDL cholesterol, obesity, low bone mineral density, and kidney dysfunction.
Students in this project will acquire skills in data collection, descriptive statistics, basic statistical analysis, and result interpretation for presentations or reports. While a specific background in metabolic health is not necessary, proficiency in both spoken and written English is required. Experience in academic writing is beneficial. There will be no fieldwork required. Participants will also have opportunities to publish their findings in journals and present at conferences, enhancing their CVs for future academic pursuits. |
Research Project (3): | Global Digestive Disease Burden |
Project Description: | The high prevalence and incidence of digestive diseases pose a significant burden on public health, severely affecting the quality of life for millions of individuals and contributing to substantial rates of morbidity and mortality. This project aims to assess the impact of various digestive diseases, including conditions such as inflammatory bowel disease, hepatitis, and gastroesophageal reflux disease.Participants in this project will gain skills in data collection, descriptive statistics, basic statistical analysis, and result interpretation for presentations or reports. A specific background in digestive health is not required; however, applicants should demonstrate a strong interest in global health and non-communicable diseases. Proficiency in both spoken and written English is essential, while knowledge of other languages is not mandatory. Experience in academic writing will be a plus. There will be no fieldwork requirement. Participants will also have the opportunity to publish their findings in journals and present at conferences. |
CUHK Supervisor: | Yin Ting CHEUNG |
Research Project: | Implementing Evidence-based Cancer Care using Real World Data |
Project Description: | Real World Data (RWD) refers to information collected from various sources outside of traditional clinical trials. This project aims to enhance cancer care delivery by integrating RWD into evidence-based practices. By leveraging data collected from electronic health records and patient reported outcomes, this project aims to develop clinical prediction models to improve safety and efficacy of cancer treatments/ cancer care in this special population. This work will be conducted in Hong Kong. |
(In alphabetical order of CUHK department/school and surname of supervisor.)
CUHK Supervisor: | Prof. Ye CHEN |
Research Project: | Modification of Ultrasmall Nanomaterials for Biomedical Applications |
Project Description: | The project will allow the students to understand the general working principles of nanomaterials synthesis, learn skills to handle and evaluate the dispersion of ultrasmall nanomaterials in biocompatible solvents, and acquire ability to perform independent experiment design and data analysis.
The student should have a background in Chemistry or Materials Science and finish at least first two years of undergraduate study. Working language will be English. |
CUHK Supervisor: | Prof. Fuk Yee KWONG |
Research Project: | Exploration of New Heterocyclic Phosphines for Challenging Cross-Coupling Reactions |
Project Description: | In this research project, we aim to develop a series of highly tunable heterocyclic phosphine ligands and investigate their catalytic activity in unexplored coupling reactions. Students will conduct experimental works in an organic laboratory under the guidance of postgraduate students and postdoctoral fellows. Undergraduate students in Science disciplines are eligible to apply. Basic knowledge of organic chemistry is required, and research experience in synthetic, organic, and analytical chemistry is advantageous. English is the primary language of communication and Cantonese and Mandarin are also commonly used. |
CUHK Supervisor: | Prof. Chit Gavin TSUI |
Research Project: | Developing Novel Fluorination and Fluoroalkylation Reagents for the Synthesis of Organofluorine Compounds |
Project Description: | This project will train students in the field of organic synthesis with an emphasis on organofluorine chemistry. Organofluorine compounds are important for numerous applications in our daily life including pharmaceuticals, agrochemicals and materials. Basic background knowledge in organic chemistry is necessary. Experiences in organic chemistry laboratory are bonus. Students will carry out the experimental work in standard organic synthesis research laboratory under the guidance of senior postgraduate students. Suitable training in laboratory techniques and scientific literature will be provided. Students will also participate in regular group meetings and presentations. English is the main language used in the research group. |
CUHK Supervisor: | Prof. Benoit THIBODEAU |
Research Project (1): | Uncovering the Effects of Sulfate and Other Seawater Ions on Organic Carbon Breakdown and Greenhouse Emission in Mangroves |
Project Description: | This project will involve sampling mangrove sediment from field sites and preparing seawater treatments with different ion combinations. Students will set up a one-month laboratory incubation to observe the effects on microbial respiration and carbon decomposition. They will collect samples for oxygen, (greenhouse gases,) pH, and alkalinity measurements to analyze microbial respiration and carbon breakdown in response to varying seawater properties, gaining experience in techniques relevant to coastal biogeochemistry. |
Research Project (2): | Impact of Bioturbation on Nutrient Dynamics in Sediments |
Project Description: | Objective: To investigate the effects of crab burrow density on sediment nutrient dynamics Task: 1. Fieldwork (environmental parameters measurement, sediment sample collection, pore water collection, crab burrow counting) 2. Labwork (Nutrient analysis) |
Research Project (3): | Elucidating Drivers of Respiration Quotient in Coastal Water |
Project Description: | The project will aim to quantify the effect of organic matter composition and water nutrient levels on respiration quotient and oxygen reduction in coastal water. The project include lab and field work and data analysis. |
CUHK Supervisor: | Prof. Yan ZHAN |
Research Project: | Simulating the Formation of the Columnar Joints in High Island Reservoir, Hong Kong |
Project Description: | This 8-week summer research project offers undergraduates a unique opportunity to study one of Earth’s most spectacular geological features—the High Island caldera in Hong Kong. Students will participate in field mapping of columnar joints and contribute to developing computer models that simulate their formation and deformation.
Requirements: Physical Requirements: Language: Location: Hong Kong |
CUHK Supervisor: | Prof. Eric CHUNG |
Research Project: | Data-Driven Methods for Scientific Computing |
Project Description: | The project will focus on modern data-driven computational methods for scientific computing. The students will gain experience in using data to recover unknown dynamical systems. Potential applications include fluid dynamics and weather forecasting.
Students should have backgrounds on foundational mathematics including calculus and linear algebra. Also, students should know some numerical computing software such as MATLAB or Python. |
CUHK Supervisor: | Prof. Otto HANNUKSELA |
Research Project: | Extracting Physics From Ligo-Virgo-Kagra Gravitational-Wave Detections |
Project Description: | The student will be integrated into the CUHK’s gravitational-wave group, which focuses on detecting, analyzing, and building models for gravitational waves as a part of the LSC and KSC, and applying these detections to different branches of Physics, including the dark matter problem, modified gravity, beyond-standard-model physics, cosmology, origin of black holes, and gravitational lensing.
The student will be integrated into one or more focus topics within the group. |
CUHK Supervisor: | Prof. Yufan LI |
Research Project: | Josephson Junctions Comprising Intrinsic Topological Superconductors |
Project Description: | This is a lab-based experimental project that may involve thin film specimen synthesis and characterization, device design, fabrication and characterization. |
CUHK Supervisor: | Prof. Jianfang WANG |
Research Project: | Plasmonic Control of Two-Dimensional Excitons |
Project Description: | Excitons in two-dimensional (2D) transition metal dichalcogenides (TMDCs) exhibit extraordinarily rich properties and offer enormous opportunities for the development of a variety of photonic, optoelectronic, and quantum devices. To fully utilize the rich properties of 2D excitons, the development of effective means for control of their emission performances is highly desired. Plasmonic nanostructures can concentrate light down to the nanometer region. Their plasmon wavelengths can be synthetically adjusted over a broad spectral region. Plasmonic nanostructures therefore offer an attractive and powerful means for the manipulation of 2D excitons.
This project is aimed to fabricate hybrid structures from plasmonic nanomaterials and 2D TMDCs, study the interactions between localized plasmons and 2D excitons, and develop new means for the control of the emission characteristics of 2D excitons, including bright, dark, localized, and valley excitons. The results will be useful for the development of new nanoscale light sources and photonic quantum technologies. The English language is required. There will be no field trips. |
CUHK Supervisor: | Prof. Yi WANG |
Research Project: | Computer Modeling of Biomolecules |
Project Description: | Students will work in a group of two to conduct molecular dynamics (MD) simulations of biomolecules (proteins, lipids, or nucleic acids) and/or biomaterials. Through analyzing the resulting trajectories they will study the conformations, dynamics and/or functions of the biomolecule/biomaterial system under investigation.
There is no wet lab component and the students will work on computers only (using the linux operating system). Prior knowledge of linux/programming is helpful but not required. |
CUHK Supervisor: | Prof. Yangqian YAN |
Research Project: | Topics in Ultracold Atomic Gases |
Project Description: | Perform theoretical research in ultracold atoms using knowledge of quantum mechanics and statistical mechanics, computational physics, etc.
Potential topic is to using PyTorch and Python to simulate Gross Pitaevskii Equation using GPU or use molecular dynamics/Monte Carlo methods to simulate elastic and inelastic collisions dynamics using Boltzmann equation. Familiar with programming skills, as well as understanding of the underlying physics principles. Options and details could be discussed. |
CUHK Supervisor: | Prof. Shannon AU |
Research Project: | New Protein Design for Combating Infectious Diseases |
Project Description: | Proteins are the key players for different cellular events. They drive chemical reactions, mediate signal transduction and immunity, and act as structural building blocks. The functions of proteins are determined by their three-dimensional structure, in other words, their amino acid sequence. Recent advances in computation and artificial intelligence allows scientists to predict the protein structures with high accuracy and design of new proteins with specific properties and roles.
This project aims to apply these technologies to construct new proteins that have potential in the prevention of infectious diseases. Participants will gain experience in using different platforms for protein structure prediction and design. They will also gain some key techniques in biochemistry such as cloning and protein purification. It is expected that participants are with high school training background in Biology and/or Chemistry. |
CUHK Supervisor: | Prof. Edwin CHAN |
Research Project (1): | A Peptide Engineering Approach to Improve Efficacy and Stability of Inhibitors that Target Repeat Expansion RNAs |
Project Description: | Repeat expansion diseases are a group of disorders caused by the expansion of a short DNA sequence in a gene. These diseases can affect a variety of tissues and organs, and can lead to a variety of symptoms, including neurodegeneration, muscle weakness, and cognitive decline.
Peptide inhibitors are short chains of amino acids that can bind to and inhibit the activity of proteins. Peptide inhibitors have been shown to be effective in suppressing the toxicity of repeat expansions in a number of animal models. One example of a peptide inhibitor that is being studied for the treatment of repeat expansion diseases is BIND. BIND is a 21-amino acid peptide that has been shown to bind to and inhibit the toxicity of expanded CAG repeats. In animal models, BIND has been shown to improve symptoms and extend lifespan in a number of repeat expansion diseases, including Huntington’s disease and spinocerebellar ataxia. Peptide inhibitors are a promising new approach to the treatment of repeat expansion diseases. This project aims at improving efficacy and stability of these inhibitors. |
Research Project (2): | An In-silico Approach to Identify Small Molecules that Target Repeat Expansion RNAs |
Project Description: | Repeat expansion diseases are a group of disorders caused by the expansion of repetitive DNA sequences in the genome. These diseases can affect a variety of tissues and organs, and can lead to a wide range of symptoms, including neurodegeneration, muscle weakness, and cognitive impairment.
Small molecule inhibitors are a class of drugs that can bind to specific toxic repeat expansion RNAs. In the context of repeat expansion diseases, small molecule inhibitors have been shown to be effective in suppressing the expansion of repeat sequences and reducing the severity of symptoms. Small molecule inhibitors offer a promising new approach to the treatment of repeat expansion diseases. This project takes an in-silico approach to identify small molecule inhibitors that have high affinity towards repeat expansion RNAs. |
CUHK Supervisor: | Prof. Ting Fung CHAN |
Research Project (1): | Identifying Fusion Transcripts in Colorectal Carcinoma by Long-Read Direct RNA-Sequencing |
Project Description: | Colorectal carcinoma (CRC) is the second leading cause of cancer death in Hong Kong. Although successful efforts have been made to the early detection of CRC, and treatment options are actively under development, there is still a general lack of molecular biomarkers for the prognosis and treatment outcome. Fusion transcripts, arisen as the results of defects in the transcriptional and splicing regulation in cancer cells, could be used for the said purposes. In this project, we will employ nanopore direct RNA-sequencing on colorectal carcinoma tissues for the identification of fusion transcripts.
Students working on this project will assist in the molecular and experimental validation of the findings. |
Research Project (2): | Exploring the Functional Implications of Micropeptides Encoded by Long Non-Coding RNA |
Project Description: | Long non-coding RNAs (lncRNAs) have traditionally been considered as transcriptional noise or regulators of gene expression at the RNA level. However, recent advances in genomics and proteomics have revealed that many lncRNAs have the potential to encode small functional peptides, known as micropeptides. These micropeptides are often overlooked due to their small size and limited sequence conservation. The project aims to shed light on the largely unexplored world of micropeptides encoded by lncRNAs and investigate their possible functional effects in cellular processes. Using an integrated proteomics and bioinformatics approach, our lab has identified many putative novel micropeptides. In this project, the student will help confirm the translation and expression of micropeptides in different cell types and conditions, and investigate the functions of micropeptides in cellular processes, such as cell proliferation, differentiation, or response to stress.
The findings of this study could have far-reaching implications for our understanding of lncRNA biology and the regulation of cellular processes. It may uncover novel mechanisms by which micropeptides encoded by lncRNAs contribute to cellular function and provide valuable insights into disease mechanisms and potential therapeutic targets. Ultimately, this project aims to bridge the gap between non-coding RNA research and the functional proteome, thereby opening up new avenues of investigation in molecular biology. |
CUHK Supervisor: | Prof. Liwen JIANG |
Research Project: | Organelle Biogenesis & Function |
Project Description: | Our research focuses on understanding the underlying mechanisms of protein trafficking, organelle biogenesis and function in eukaryotic cells (e.g. plants) using a combination of imaging, cellular, molecular, biochemical and genetic approaches, as well as the applications of state-of-the-art platforms including 3D TEM (transmission electron microscopy), Cryo-EM/ET (electron tomography) and Cryo-FIB (focused ion beams)/CLEM (correlative light and electron microscopy).
The students will have the opportunity to learn and involve in a specific project while working together with graduate students or postdoc in the labs.
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CUHK Supervisor: | Prof. Byung Ho KANG |
Research Project: | 3D Electron Microscopy for Organelle Imaging |
Project Description: | This SURP project offers students the opportunity to participate in cutting-edge studies focused on the 3D electron microscopy reconstruction and morphometric analyses of membranous organelles in eukaryotic cells. The project utilizes cryofixation of samples to capture transient cellular events without the complication caused by chemical fixation artifacts. Students will engage in cell sample preparation, transmission electron microscopy (TEM) imaging, and the calculation of electron tomograms.
Through these activities, they will generate 3D surface models of organelles involved in Golgi-mediated secretion and the recycling of cellular constituents via autophagy. |
CUHK Supervisor: | Prof. Kin Ming KWAN |
Research Project (1): | Genetic Control of Neuronal Cell Development in the Brain |
Project Description: | Using mouse as the model to study how the neurons are developed in our brain.
Lab work is needed. Opportunity to learn and apply a variety of cell biology, developmental biiology, molecualr biology and neuroscience technology in research. |
Research Project (2): | Genetic Control of Blood-Cerebrospinal Fluid Barrier Development and Functioning in the Brain |
Project Description: | Using mouse as the model to study how the blood-cerebrospinal fluid barrier are developed in our brain.Lab work is needed. Opportunity to learn and apply a variety of cell biology, developmental biiology, molecualr biology and neuroscience technology in research. |
CUHK Supervisor: | Prof. Hon Ming LAM |
Research Project: | Investigation of the Role of GmMYB94 in Salt Tolerance |
Project Description: | GmMYB94 is a transcription factor in soybean, it is highly expressed during salt stress, so we hypothesize that GmMYB94 is involved in salt stress responses.
This project mainly aims to study the function of GmMYB94 in salt tolerance using transgenic Arabidopsis. Students with study background in plant science or molecular biology would be preferred. |
CUHK Supervisor: | Prof. Kwok Fai LAU |
Research Project (1): | Investigate the Roles of Alzheimer’s Disease Amyloid Precursor Protein Interactors in Neurodevelopment |
Project Description: | The accumulation of amyloid-β peptide (Aβ), derived from the amyloid precursor protein (APP), is a pathological hallmark of Alzheimer’s disease (AD). The processing of APP is influenced by several interactors, including FE65 and GULP1, which have been shown to modify how APP is cleaved and accumulated. Recently, these APP interactors have gained attention for their roles in regulating essential neurodevelopmental processes, such as neurite outgrowth, which is crucial for the formation and maintenance of neural networks. Understanding these processes is vital, as neurite outgrowth underpins the development of neuronal connectivity and the establishment of functional neural circuits.
This project aims to elucidate the mechanisms by which APP interactors modulate neurite outgrowth, shedding light on their potential impacts on neurodevelopment and their broader implications in neurodegenerative diseases. By revealing these mechanisms, the research could uncover new therapeutic targets for diseases like AD, offering hope for more effective treatments in the future. |
Research Project (2): | Alzheimer’s Disease Amyloid Precursor Protein Interactors and Autophagy |
Project Description: | Autophagy is a highly conserved metabolic mechanism by which unnecessary or dysfunctional cellular components are removed. This process involves the sequestration of these components into double-membrane vesicles called autophagosomes. The autophagosomes subsequently fuse with lysosomes to form autolysosomes, leading to the disassembly of the contained material and the recycling of the resulting macromolecules. Beyond its normal cellular functions, autophagy is also thought to play a critical role in the metabolism of amyloid-β peptide (Aβ). The accumulation of Aβ, which is derived from the amyloid precursor protein (APP), is a pathological hallmark of Alzheimer’s disease (AD). Recent research has reported that APP interactors can modulate autophagy, suggesting a link between these processes.
This project aims to investigate the specific mechanisms by which APP interactors influence autophagy, potentially unveiling new insights into the pathogenesis of AD and identifying novel therapeutic targets to mitigate its progression. |
Research Project (3): | Investigate the Roles of the GEFs of the Small GTPase ARF6 in Neurite Outgrowth |
Project Description: | This project focuses on investigating the roles of guanine nucleotide exchange factors (GEFs) that regulate the small GTPase ARF6 in neurite outgrowth. Neurite outgrowth is a critical process in the development of neural networks and overall neurodevelopment, influencing how neurons extend axons and dendrites to establish connections. ARF6, a member of the ADP-ribosylation factor family, plays a pivotal role in membrane trafficking, cytoskeleton remodeling, and signal transduction.
This study aims to elucidate how specific GEFs interact with ARF6 to modulate these processes, thereby affecting neurite outgrowth. This research seeks to map the pathways and mechanisms through which ARF6 and its GEFs influence neuritel growth. The findings from this project could provide valuable insights into the fundamental biology of neuronal development and identify potential targets for therapeutic intervention in neurodevelopmental disorders. |
CUHK Supervisor: | Prof. Cheng LI |
Research Project (1): | Exploring Interactions Among Starch, Protein, and Beta-Glucan: Impacts on Starch Digestion |
Project Description: | The potential impact of oat β-glucan interacting with other food components extends to altering starch digestibility, thereby influencing its bioactivity in managing glycemic responses. Blood glucose levels were assessed pre and post consumption of wheat and oat granolas, containing 0.6 and 6.2 g of β-glucan, along with two starch quantities (40 and 60 g). With an increase in the in vitro extract viscosity of β-glucan, starch digestibility decreased, leading to lower glucose responses.
Notably, the 40 g starch composition exhibited reduced peak blood glucose response (PBGR) and incremental area under the curve (iAUC) compared to the 60 g variant. β-Glucan demonstrated a more pronounced effect in lowering PBGR and iAUC at a β-glucan/starch ratio of 1.6:10 versus 1.1:10. These findings hold significance for innovating new products and assessing the quality of bioactive foods incorporating oat β-glucan. Language requirement: English |
Research Project (2): | How to Form Resistant Starch |
Project Description: | Resistant starch (RS) emerges as a novel food element boasting a low glycemic index. This indigestible starch fraction, termed an anti-digested starch, resists breakdown in the small intestine, undergoing partial fermentation in the large intestine to yield short-chain fatty acids and related byproducts. Characterized by a compact molecular structure comprising 20–25 glucose residues (linear polysaccharides linked by hydrogen bonding), RS mimics the physiological impact of dietary fiber. Its consumption influences body weight, energy equilibrium, enhances lipid elimination to curb calorie intake, and reduces serum lipid levels. With negligible caloric content, RS serves as an effective low-calorie supplement for weight management. Ingesting RS can dampen insulin release, regulate postprandial blood glucose levels, thus mitigating diabetes risk.
Research conducted by Robertson et al. reveals that the intake of resistant starch improves insulin sensitivity in individuals lacking insulin resistance by modifying the metabolism of adipose tissue and skeletal muscle. This impact is probably linked to the increased systemic concentrations of both ghrelin and short-chain fatty acids (SCFAs). The ingestion of 30 grams of resistant starch daily was well tolerated and holds promise for benefiting individuals with insulin resistance or type 2 diabetes. Furthermore, RS contributes to lowering intestinal pH, facilitating the absorption of essential minerals like zinc, calcium, and magnesium ions. Consequently, the exploration of RS preparation and functionality assumes growing significance in current research endeavors. Language requirement: English |
Research Project (3): | Effect of Soybean Protein Addition on the Retrogradation of Rice Starch and in Vitro and in Vivo Digestion |
Project Description: | Recent research indicates that the incorporation of external elements such as proteins, hydrocolloids, polysaccharides, and polyphenols can impact the retrogradation and digestibility of starch. Proteins, serving as natural food supplements, are widely employed in the food industry to enrich the taste and nutritional value of food items. Certain proteins possess the capacity to act as physical regulators in the control of starch reformation. This study delved into the influence of soybean protein on the retrogradation characteristics of rice starch and the intricate relationship between the two by analyzing starch chain-length distribution, thermodynamic features, and in vitro and in vivo digestion processes. Additionally, the study explored the enhancement of resistant starch (RS) regeneration on soybean protein isolate (SPI) from a structural standpoint through textural characterization, Fourier transform infrared spectroscopy (FT-IR), and scanning electron microscopy (SEM) assessments.
The primary goal of this research is to probe the interaction mechanism between soybean protein and rice starch in retrogradation, aiming to regulate the in vivo digestibility of rice starch. Simultaneously, the study seeks to investigate the potential beneficial impact of soybean protein on modulating the gut microbiota of mice. Language requirement: English |
CUHK Supervisor: | Prof. Haiwei LUO |
Research Project: | Identification and Characterization of Next-Generation Coral Probiotics |
Project Description: | Coral reefs are one of Earth’s most diverse and productive ecosystems, valued at several trillion dollars globally. They are under severe deterioration due to global warming and other stressors. Marine probiotics are proposed to be an important measure to conserve corals, but traditional probiotics are not appropriate for field implementations at regional scales. My lab recently discovered novel endosymbiotic bacteria that have undergone genome-wide changes including expansion of DNA repeats and proliferation of pseudogenes, suggestive of strong dependence on the coral host. We further demonstrated that these next-generation probiotics confer strong benefits to stressed corals through both laboaratory and field trials.This project will comprise several modules including detecting next-generation probiotics in corals and other marine animals, culturing them, imaging them in coral tissues using confocal fluorescence microscopy. Students majoring in biological sciences, marine science, or environmental science are welcome to join us and contribute to this exciting area. |
CUHK Supervisor: | Prof. Jacky NGO |
Research Project: | Structural Study of a Splicing Kinase in Complex with Viral Protein. |
Project Description: | Serine-arginine protein kinases (SRPKs) are a family of kinase that play critical roles in RNA metabolisms and viral infection. They have been found to govern the life cycles of different viruses including HBV, HSV, SARS-CoV and SARS-CoV2 by interacting and phosphorylating their viral proteins.
In this study, we will apply recombinant technology, protein biochemistry, and x-ray crystallography to investigate how SRPK1 interacts with some of these viral proteins. Candidates who major in biological or biomedical sciences are preferred. |
CUHK Supervisor: | Prof. Xiaodan FAN |
Research Project: | Image Classification: Circle or Square? |
For an input image with either a square or a circle of unknown size or orientation and with noise, we shall develop an explainable classification algorithm to differ circle from square. Sufficient training data can be obtained.
Strong background in programming with any language and basic knowledge in machine learning are required. |
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CUHK Supervisor: | Prof. Tony SIT |
Research Project: | Quantile Modelling on Networks |
Project Description: | In the contemporary landscape, events propagate swiftly across social networks. One intriguing aspect of this phenomenon is understanding how individuals’ reactions to an event are influenced by the characteristics of their friends. For instance, a key question might be how quickly a person initiates playing a game based on their friends’ preferences. The investigation of social network interdependencies represents a burgeoning field of study.
In this research endeavour, we introduce a latent spatial autocorrelation Cox model designed to explore social network interdependence using time-to-event data. The innovative model incorporates a latent indicator to capture the potential impact of a person’s social circle’s characteristics on their survival time. Relevant estimation and testing procedures will be studied with proper justification. Student are preferred to have academic background on statistical inference and/or stochastic processes. Proficiency in English and computer programming is required. There will be no field trips. |
CUHK Supervisor: | Prof. Yingying WEI |
Research Project: | Imputation of Multi-Omics Data |
Project Description: | One central question in genomics is why the same copy of genome can give rise to very different phenotypes within an individual. For example, the eyes, ears, liver and lung within a person share the same copy of DNA, but their gene expression patterns and phenotypes are very different. To address this question, scientists have systematically collected multiple omics data, such as gene expression, DNA methylation and histone modification data, for hundreds of different cell types in the ENCODE project. However, not all omics data types have been assayed for all cell types. Therefore, it is of great interest to impute the omics data that have not been assayed.
This project aims to develop (1) prediction algorithms to impute the missing omics data for the ENCODE project and (2) a genome browser to visualize the assayed and imputed data. Student are preferred to have academic background on statistical inference and strong programming skills. Proficiency in English is required. There will be no field trips. |
(In alphabetical order of CUHK department/school and surname of supervisor.)
CUHK Supervisor: | Dr. Cheuk Yin HO |
Research Project: | An Empirical Analysis of Text Data in Economics and Finance |
Project Description: | This project is to apply textual analysis and machine learning models to understand text data, e.g., words, messages, tweets, and ads. Using text data helps us to understand, for example, sentiments in financial markets.
Machine learning models will be used, e.g., support vector machines and neural networks, etc. Students are expected to collect text data, develop statistical models, write computer programmes, and evaluate model performances. Students are expected to be familiar with statistics and basic machine learning models. Programming experiences in Python are preferred. Proficiency in English is required. |
CUHK Supervisor: | Prof. Chung Shing CHAN |
Research Project (1): | Action Research on the Development of a Storytelling Model for Experience Design and Co-Creation in Cultural Landscapes |
Project Description: | This research aims to advance the theoretical development of the experience design and co-creation process using a storytelling approach to influence visitor experience. Visitor experience refers to the physical and social settings where visitors engage with a destination’s attractions, activities, and people. Extending from the existing conceptual framework of experience co-creation from the tourist perspective, this action research contributes to the modelling of constructs related to how the storytelling approach potentially enhances the theories of visitor experience and value co-creation for sustainable rural community development. As an increasingly important tool for the integration of the tourism industry, visitors, and local communities, storytelling can significantly affect how visitors connect with various aspects of the experience co-creation process, resulting in more meaningful encounters in destination environments.
The outcomes of the research objectives address how stories can be leveraged to create a more engaging environment for visitors through a connection of constructs, including self-reported experience, emotional state, site engagement, experience co-creation, overall site image, and behavioural intention. Based on a deductive approach, the study adopts an action design that combines researcher-participant interactions, survey, experience drawing and focus-group discussion. The study involves a sample of 240 adult participants, each of whom takes either a storytelling or an information-based tour at a community-based cultural landscape, Yim Tin Tsai village in Hong Kong. Specific requirements: • Preferred academic field: Tourism, geography, psychology, education, or other fields in social science |
Research Project (2): | Application Research on Augmented Models and Smart Experiential Engagement in Ecological Conservation of Yim Tin Tsai, Sai Kung |
Project Description: | This project aims to utilise augmented modeling technology to showcase and highlight the diverse day and night floral and faunal species found on Yim Tin Tsai (YTT) Island. By employing innovative and advanced digital tools, we will create interactive visual representations of the island’s ecological richness, emphasizing the importance of integrating technological innovation into nature conservation.The project involves conducting comprehensive ecological surveys and research to identify and document the various species inhabiting Yim Tin Tsai during both day and night. These findings will be transformed into a captivating and immersive augmented reality experience. Using Augmented Reality (AR) applications, community members and the public will have the opportunity to engage in interactive experiences that foster a deeper understanding and appreciation, as well as a sense of stewardship and responsibility for the island’s unique biodiversity, including the day-and-night land and coastal species and their habitats.
The project includes smart experiential engagement activities, such as AR-based guided tours, workshops, and educational activities to involve the local community and raise awareness about the importance of nature conservation. By integrating technology with community involvement, this project aims to promote sustainable practices and encourage active participation in the preservation of Yim Tin Tsai’s natural heritage. Specific requirements: |
CUHK Supervisor: | Prof. Derrick LAI |
Research Project (1): | Effect of Forest Fragmentation on Soil Biogeochemical Cycling |
Project Description: | Conduct field measurements and/or lab analysis to investigate the effect of forest fragmentation on biogeochemical cycling in forest soils. |
Research Project (2): | Microplastic Contamination in Terrestrial Ecosystems |
Project Description: | Conduct field sample collection and lab analysis to investigate the extent of microplastic contamination in terrestrial ecosystems. |
Research Project (3): | Carbon Dynamics in Terrestrial and Wetland Ecosystems |
Project Description: | Conduct field measurements and/or lab analysis to investigate the carbon dynamics in the soils and vegetation of terrestrial and wetland ecosystems. |
CUHK Supervisor: | Prof. Kecheng FANG |
Research Project: | Journalism Innovation in the AI Era |
Project Description: | This summer research program explores the transformative impact of Generative Artificial Intelligence (GenAI) on journalism. We will delve into the challenges and opportunities presented by GenAI, examining how it’s reshaping newsgathering, content creation, distribution, and consumption.
This program welcomes applications from students with diverse academic backgrounds. While a background in journalism, communications, media studies, or computer science is beneficial, we also encourage applications from students in related fields such as business, sociology, political science, design, and data science who possess a strong interest in the intersection of GenAI and journalism. Proficiency in both English and Chinese are required. Apart from desktop research, we will also organize field trips to innovative newsrooms in the Greater Bay Area. |
CUHK Supervisor: | Prof. Minseop KIM |
Research Project: | Family-friendly Workplace Initiatives and their Impacts: A Scoping Review |
Project Description: | Workers, particularly working parents, often experience work-family conflict (i.e., the inter-role conflict individuals face when work duties disrupt family life or vice versa). Given that work-family conflict may lead to negative consequences for the wellbeing of individuals and their family members, multiple family-friendly workplace initiatives have been developed and implemented.
This project will conduct a scoping review to assess the evidence base of recent family-friendly workplace initiatives in terms of their impact on the wellbeing of working parents and their family members (e.g., children), with a focus on comparing Western and Asian contexts. After learning about the methodology for scoping reviews, students are expected to engage in all aspects of the review process, including literature identification, screening, and evidence appraisal/synthesis. |
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