On August 22, 2022, the University of Hong Kong announced the results of the 2022 "Outstanding Young Scientists Fund Project" that 10 scholars from the University of Hong Kong were selected, which is the fourth consecutive year that the most young scholars have won awards among a

On August 22, 2022, Hong Kong University released the news: The results of the 2022 "Outstanding Young Scientists Fund Project" were announced. 10 scholars from the University of Hong Kong were selected, and is the fourth consecutive year that the most young scholars have won awards in all colleges and universities.

It is reported that the University of Hong Kong announced on the 22nd that two of the 10 award-winning scholars were from the School of Engineering, three from the Li Ka-shing Medical College , four from the School of Science, and one from the School of Social Sciences. Each of the 10 Hong Kong University scholars will receive RMB 2 million in funding, and will provide research funds in Hong Kong, with a funding period of three years.

Detailed list is as follows:

click to enter the image description (up to 30 words)

10 award-winning Hong Kong University:

School of Engineering

‧Assistant Professor of Mechanical Engineering Dr. Zhou Ciyong

‧Assistant Professor of Computer Science Dr. Wu Chenshu

Li Ka-shing Medical College

‧Assistant Professor of Biomedical College Dr. Huang Yuanhua

1 Assistant Professor of the School of Biomedical College Dr. Huang Yuanhua

1 ‧Assistant Professor of Family Medicine and Primary Medical Sciences Dr. Yin Xuhui (also belongs to the Department of Pharmacology and Pharmacy)

‧Assistant Professor of Pharmacology and Pharmacy Dr. Wang Weiping,

School of Science

‧Assistant Professor of Mathematics Dr. Xu Junyan,

‧Assistant Professor of Biological Sciences Dr. Celia Marei Schunter,

‧Assistant Professor of Physics Dr. Wang Chenjie,

‧Assistant Professor of Physics Dr. Yang Yi,

School of Social Sciences

‧Associate Professor of Geography Dr. Ran Lishan

Research Project Introduction:

Dr. Zhou Ciyong Assistant Professor of Mechanical Engineering, School of Engineering

Research Project: Research on the Mechanism of Organic Polymer Solar Cell

1Dr. Zhou focuses on the development of flexible, printable and environmentally friendly organic polymer solar cells. By using innovative transient spectroscopy, his work has produced groundbreaking insights into the photoexcited state dynamics and charge generation processes in organic solar cells materials. Recently, new molecular designs have enabled organic solar cells to achieve record efficiency, but the underlying mechanisms are still unclear. In this project, Dr. Zhou aims to uncover the precise mechanisms that enable record-breaking efficiency of current highest performance organic solar cell materials and provide guidance for future material and device development.

Dr. Wu Chenshu Assistant Professor of Computer Science Department of the School of Engineering

Research Project: Intelligent wireless perception and positioning

Dr. Wu is engaged in Artificial Intelligence Internet of Things research. His research in the field of intelligent wireless perception and positioning has made ordinary commercial WiFi a universal perception platform with comprehensive perception capabilities, realizing the practical application of wireless non-contact and non-sensor perception in various real scenarios such as personnel detection, sleep monitoring, fall detection. This project will continue to focus on IoT intelligent perception, explore more comprehensive IoT large-scale ubiquitous perception technology, and study key applications such as health monitoring and elderly care, aiming to realize IoT full-space perception intelligence.

Dr. Huang Yuanhua Assistant Professor, School of Biomedical Sciences, Li Ka-shing Medical College

Research Project: Single-cell Data Science

Dr. Huang's research direction is single-cell data science in the field of bioinformatics , to develop data science methods to effectively analyze and discover single-cell omics data. In this direction, Dr. Huang developed a series of Bayesian models and machine learning methods to solve multiple important problems for data analysis of single-cell genomes and transcription groups. Dr. Huang’s project intends to develop integrated and interpretable machine learning methods to deal with multiple challenges in analyzing cellular dynamic processes.

Dr. Yin Xuhui Assistant Professor of the Department of Family Medicine and Primary Medicine of Li Ka-shing Medical College (also belongs to the Department of Pharmacology and Pharmacy)

Research Project: Monitoring Strategies for Diabetes Complications

Dr. Yin has been engaged in Dr. Dr.2HTML has been engaged in diabetic treatment, medical management, epidemic and pharmacoepidemiology research. Dr. Yin plans to analyze medical big data to explore the optimal frequency of complication monitoring in patients with diabetes with different levels of cardiovascular risk. The project's expected results will help to develop more accurate complication management strategies for diabetic patients, or to reduce diabetes complications and related deaths at a lower cost.

Dr. Wang Weiping Assistant Professor of the Department of Pharmacology and Pharmacy, Li Ka-shing Medical College

Research project: Photocontrol drug delivery system

Dr. Wang has long studied photopharmacology and nanomedicine, and has achieved a series of innovative results in the research on photocontrol drug delivery. In this project, Dr. Wang focuses on the application of light-controlled drug delivery system in deep tumors, intending to build a new near-infrared light-responsive drug delivery system, and use optical fiber to efficiently and accurately deliver light to in situ esophageal squamous cell carcinoma tissue to achieve targeted drug delivery at deep tumors. The research results will provide new solutions for the research and development of luminous drug delivery systems and their clinical transformation.

Dr. Xu Junyan Associate Professor, Department of Mathematics, School of Science,

Research Project: Algebraic Number Theory and Arithmetic Geometry

Dr. Xu studied arithmetic geometry and algebraic number theory from the perspective of Galohua compatible systems. In this project, Dr. Xu intends to study the Galova compatible system originating from (i) K-smooth projected algebra cluster X if K is a feature p function domain and (ii) regular algebra tip GL_n(A_K)-self-conservatively represents if K is a number domain. For (i), Dr. Xu proposed to study the Z_l-coefficient co-modulation of Galova semi-monotonity of X, which can be applied to superproduct co-modulation. For (ii), Dr. Xu proposed to study the irreducible conjecture expressed by Galohua when K is the entire real domain or the CM domain.

Celia Marei Schunter Assistant Professor, School of Biological Sciences, School of Science,

Research Project: Response mechanism of marine fish under environmental fluctuations

1Dr. Schunter mainly studies the genetic and molecular responses of marine organisms, and explores how these reactions can adjust species and populations to cope with environmental pressure (such as expected to appear at the end of this century). Her research has provided important insights that reveal the mutual influence between the physical environment and marine bio populations, as well as the ability of organisms to adapt to different ecosystems. Dr. Schunter now proposes this overall study based on her past research on how molecular mechanisms make fish respond to the future marine environment and further incorporate factors of environmental fluctuations to provide more evidence to prove the relevant mechanism. Dr. Wang Chenjie Assistant Professor of Physics, School of Science, Research Project: Correlation Topology Physical State Theory Dr. Wang is mainly engaged in the research on basic theory of related topology and quantum transport. He will continue to study the theory of associated topological matter states and seek application in quantum critical phenomena.

Dr. Yang Yi Assistant Professor of the Department of Physics, School of Science

Research Project: Interaction between light and matter

Dr. Yang's research will study the interaction between light and matter electrons. The study will explore non-classical electromagnetic responses at extreme nanoscale through various experimental methods with temporal and spatial resolution. Dr. Yang will also study the interaction between light and free electron . The study will examine various optical environments to significantly enhance their coupled intensity with free electrons. The study will also discuss the interaction between free electrons and photons and topology.

Dr. Ran Lishan Associate Professor of the Department of Geography, School of Social Sciences

Research Project: Inland water Carbon cycle

Dr. Ran's research takes the main river basins in China as the object, comprehensively and systematically analyzes the carbon cycle process and greenhouse gas emissions in inland water, and deeply analyzes the role mechanism of natural environmental factors and major human activities in it. Dr. Ran plans to select small static water bodies located in the semi-arid Loess Plateau and the subtropical Dongjiang watershed as research objects, deeply analyze their greenhouse gas exchange flux characteristics, and explore the influence and mechanism of environmental factors and human activities. Dr. Ran’s research will deepen people’s understanding of changes in greenhouse gas exchange flux in static water bodies, and thus help to correctly understand and smoothly achieve China’s “dual carbon goals” of carbon peak and carbon neutrality.