Students participating in this project in Hong Kong may be required to conduct research at disabilities centres.

Students who are major in mechanical engineering, electronic engineering, computer science and/or robotics are welcome to join.

Students who are major in mechanical engineering, electronic engineering, computer science and/or robotics are welcome to join.

Students who are major in mechanical engineering, electronic engineering, computer science and/or robotics are welcome to join.

Students who are major in electronic/electrical engineering or physics in penultimate year of undergraduate studies are preferred. Fluency in English will be required.

Reference: 1. Z. Zhang, Y. Wang and H.K. Tsang, “Tandem Configuration of Microrings and Arrayed Waveguide Gratings for a High-resolution and Broadband Stationary Optical Spectrometer at 860 nm,” ACS Photonics vol. 8 pp. 1251-1257 (2021)

Students who are major in electronic/electrical engineering or physics in penultimate year of undergraduate studies are preferred. They should either have completed a course in quantum mechanics or capable of self-teaching by reading a quantum mechanics textbook. Fluency in English will be required.

References
1. See for example https://psiquantum.com/ or https://physicsworld.com/a/programmable-photonic-chip-lights-up-quantum-computing/
2. R. R. Kumar, M. Raevskaia, V. Pogoretskii, Y. Jiao, and H. K. Tsang, “Entangled photon pair generation from an InP membrane micro-ring resonator,” Applied Physics Letters 114 021104 (2019).
3. David A. B. Miller, “Quantum Mechanics for Scientist and Engineers”, Cambridge University Press 2008.

Students who are major in electronic/electrical engineering or related engineering/science subjects in penultimate year of undergraduate studies are preferred. Fluency in English will be required.

Reference: 1. D. Yi, Y. Wang, and H.K. Tsang, “Multi-functional Photonic Processors Using Coherent Networks of Micro-ring Resonators” APL Photonics 6, article 100801, 2021.

Students with knowledge in basic use of modelling software such as SolidWorks, UG, CATIA, ProE, programming skill using C++, Matlab, and knowledge in engineering and material manufacturing will be preferred.

The aim of this project is to improve the effectiveness of DDI prediction by incorporating the correlations between DDI types. The current DDI prediction models will be investigated with an aim to design a more appropriate GCN model to accurately model the correlations between links in DDI networks.

The aim of this project is to study scalable clustering methods on evolving networks. The connection between distance metrics and clustering will be investigated. Students will also be involved in evaluating our designed distance index on real-world networks through experiments.

Through the project, students are expected to gain a better understanding on published evidence relating to various lifestyle factors and physical health in type 2 diabetes patients; study research methodology relating to lifestyle factors and health; analyse descriptive statistics data; learn fundamental principals in statistical analysis to examine correlations; and write up short conclusion report.

Students participating in this project will be required to conduct research at the Prince of Wales Hospital.

The project is a prospective randomised controlled study on adolescents diagnosed with AIS requiring bracing. Patients were already allocated to either one of the clinic settings, namely (a) Brace Clinic with joint consultation by an orthopaedic surgeon and orthotist and (b) Scoliosis Clinic where only an orthopaedic surgeon primarily saw the patient. As the cohort is reaching skeletal maturity when braces are gradually being weaned off, the stage has been reached when treatment outcomes can be compared between the Brace Clinic and Scoliosis Clinic. Cobb angle taken without brace at cessation of bracing will be the primary measurement for comparison.

Through the study at the Brace Clinic, students can gain experience on how patients with orthopaedic and spinal problems are assessed and managed. Clinical exposure for other orthopaedic subspecialty can be arranged as needed. Students participating in the project will conduct computer-assisted measurement on whole spine radiographs on spinal curvature with the use of the advanced EOS system, and analyse the treatment outcomes for a randomised controlled study. A final report on critical appraisal of the study design, data analysis and interpretation, evaluation of any potential bias and appreciation of study limitation will be compiled under supervision.

Students participating in this project will be required to conduct research at the Prince of Wales Hospital.

The entire research project will be conducted in Hong Kong, at data collection sites including CUHK main campus, outpatient area at the Prince of Wales Hospital or the CUHK Medical Centre, or other community settings.

Students involved in this project will be assisted in data collection, group therapy, data entry and analysis. Proficiency in English is required and knowledge in Chinese is preferred.

Students involved in this project will be assisted in data collection, sleep study, data entry and analysis. Proficiency in English is required and knowledge in Chinese is preferred.

In this project, students will join an international team of researchers to create preclinical drug candidates for the effective treatment of NSCLCs. Students with a background in chemistry, pharmacy, biomedicine, genome, molecular biology or pharmacology are welcome.

In this project, students will join an international team of researchers to create preclinical drug candidates for the effective and timely pharmacological management of COVID-19 and, more importantly, the future coronavirus (CoV) outbreaks. Students with a background in chemistry, pharmacy, biomedicine, genome, molecular, biology or pharmacology are welcome.

Students are expected to perform field data collection, systematic review and data analysis. Proficiency in Cantonese or English will be an advantage. Students participating in this project will be required to conduct the research at the Prince of Wales Hospital.

Students participating in this project will be required to conduct the research at the Prince of Wales Hospital.

Students participating in the project may need to conduct literature review and fieldtrips, and assist in data collection, data handling, study subject interviews, and implementation of intervention with the research team in Hong Kong. Proficiency in both Chinese and English will be an advantage. Students may be required to conduct the research at the Prince of Wales Hospital.

Students participating in the project may need to conduct literature review and fieldtrips, and assist in data collection, data handling, study subject interviews, and implementation of intervention with the research team in Hong Kong. Proficiency in both Chinese and English will be an advantage.  Students may be required to conduct the research at the Prince of Wales Hospital.

In this project, students will learn to carry out numerical simulations of certain model networks of spiking neurons with an aim to study the relationships between network structure and dynamics.

Knowledge of computer programming and experience with Python or C++ will be required.

Students with a background on photonics and chemistry and proficiency in English will be preferred.

Students with a background on photonics and nanomaterials and proficiency in English will be preferred.

Students with a background in statistics and econometrics are preferred. Programming experience in R or Python will be an advantage. Proficiency in English is required.

Students who are major in tourism, geography, cultural studies, or related fields in social science and language studies are welcome. Proficiency in English and Chinese (Cantonese preferred) is required. Student participating in this project will be involved in field work, data collection and analysis in Hong Kong.

This research aims to identify the attributes of local brand equity of green, creative and smart cities through local resident survey and interviews. District-based understanding and perception of each city theme by residents and the corresponding thematisation strategy for Hong Kong will be discussed. The analysis also covers the socio-economic attributes of the residents and the influences of local characteristics of each district in Hong Kong. Specific research objectives are:

1. To analyse Hong Kong’s city brand equity in the themes of green city, creative city and smart city perceived by local residents;
2. To identify locally-perceived characteristics of greenness, creativity and smartness in districts in Hong Kong; and
3. To provide policy recommendations for district thematisation of the city-theme attributes for bottom-up development and advancement of Hong Kong’s city branding

Students who are major in human and urban geography, urban planning, urban studies, or related fields in social science are welcome. Proficiency in English is required and knowledge in Chinese, SPSS and NVIVO skills is preferred. Student participating in this project will be involved in data and statistical analysis in Hong Kong.

Through a series of quasi-experimental study and action-based visits to YTT, this study aims to investigate how sensory experience creation process on the island is portrayed by the participating HI in the presence or absence of: (1) pre-trip VR experience and (2) smart devices and mobile apps during the visit.

This study will elucidate the participants’ self-reported experience and their sensory experience creation process. Key research methods include systematic experience-prototype mapping, self-administered questionnaire, and focus-group discussion, targeting a sample of 160 (general and hearing impairment) participants in four groups of prescribed experimental conditions. Specific research objectives:

1. To understand, using the case of YTT Island in Hong Kong, the types of barriers encountered by visitors with hearing impairment in a rural environment and the effects of barriers on the sensory experience creation process;
2. To examine the influence of pre-trip virtual reality experience on the sensory experience creation process of the HI in YTT;
3. To identify the ways smart devices influence the sensory experience creation process of the HI in YTT; and
4. To provide management and practical recommendations in virtual and smart technology for improving the accessibility of YTT or similar rural destinations to visitors with sensory impairment

Students who are major in tourism, geography, sociology, psychology, or related fields in social science are welcome. Proficiency in English and Chinese (Cantonese preferred) is required. Student participating in this project will be involved in field work, data collection and analysis in Hong Kong.

This project aims to develop a mission game based on VR-images of environment settings in Hong Kong (e.g. mangrove and Hakka village) that are often used as teaching-learning sites. Students participating in this project will be highly engaged in the game design process and VR-filming work. The game will benefit individuals or groups of students who can conduct virtual visits without travelling to the selected sites. It will cover themes of sustainable tourism study, e.g. nature conservation, cultural and historical heritage, tourism and impact assessment, destination planning and visitor management, Sustainable Development Goals (SDGs) through a self-administered, e-learning and stimulating web-based platform. Users will complete a set of missions – such as questions, observations, tasks, group chat – randomised on the platform. Teachers may utilise the game as an in-class or online teaching activities or an assessment to enhance teacher-student or peer interactions.

Students who are major in tourism, geography or education are welcome. Proficiency in English is required and knowledge in Chinese is preferred. Student participating in this project will be involved in VR image filing and information collection in various locations in Hong Kong.

Students are expected to conduct literature reviews on relevant theories and previous empirical studies. They will also have an opportunity to manage and analyse longitudinal survey data.

Students from social science majors as well as computer science are welcome. Proficiency in Chinese and English are required. Knowledge in computational methods as well as Chinese media landscape is preferred.