Research in accounting covers a broad spectrum of issues in the areas of financial accounting, auditing, and corporate governance. The major foci in the department include: (1) various accounting issues related to Debt Contracting such as debt covenant violation, debt monitoring, credit quality assessment and the Credit Market in general and Credit Pricing in particular (particularly the market for credit instruments such as credit default swaps); (2) Corporate Governance and External Monitoring issues in the China, US, and international settings as they relate to ownership structures, institutional infrastructures, legal regimes, information environments; (3) Fraud Detection and Tax Avoidance issues such as financial restatement and accounting and auditing enforcement by regulators such as the SEC and/or the CSRC and economic consequences of corporate tax avoidance, economic consequences of internal control reporting, accounting quality versus credit quality, tax complexity and tax compliance; (4) Accounting Disclosure issues such as disclosure and audit quality, earnings management, accounting conservatism, voluntary disclosures or management earnings guidance, and audit pricing.

Economics research expertise of the Department includes: (1) International Economics: Trade Policy; Intellectual Property Protection; FDI and  Global Sourcing; International Migration; International Financial Crises; Exchange Rate Economics; Purchasing Power Parity; Capital Mobility; Globalization; (2) Microeconomics: Auction Theory; Mechanism Design; Experimental Economics; Game Theory; Industrial Organization; Contract Theory; Political Economy; (3) Macroeconomics: Business Cycles; Endogenous Growth; Structural Change; Fiscal and Monetary Policy; Real Estate and Urban Economics; Labor Economics; Consumer Credit; and (4) Econometrics: Econometric Theory; Economic Forecasting; Bayesian Econometrics.

Finance research expertise includes: (1) Corporate Finance: Capital Structure; Payout Policy; Capital Raising; Real Investment; Firm-bank Relationship; Mergers and Acquisitions; Restructuring; Hedging; Corporate Governance and Control; (2) Asset Pricing: Equilibrium Asset Pricing; Equity Return-risk Relationship; Term Structure of Interest Rates; Derivatives Pricing; Financial Engineering; and (3) Investments and Capital Markets: Financial Investments; Market Microstructure; Anomalies; International Financial Management; Financial Services and Intermediation; Fund Management; Credit Risk Management.

The Doctor of Philosophy Program in Information Systems provides comprehensive training to analyze, develop, implement, evaluate, and manage information systems in various contexts, i.e., from individual to organizational and societal contexts. The research training draws on theories, concepts, and methods from domains such as business information systems, design science, management, operations research, cognitive and social psychology, strategy, and/or economics to study complex and advanced information systems. Particular emphasis is placed on the links between theory and practice and the practical application of innovative information systems methods and techniques to create business values and societal impacts. The research methodologies employed include behavioral methods (qualitative and quantitative), technical modeling, and econometrics. The main areas of research include (1) Digital Transformation and Digital Society; (2) Technological Innovation and Entrepreneurship; (3) Generative AI and Machine Learning;; (4) Business Analytics and Big Data; (5) Sustainability and Green IS; (6) Social Media and Platform Economy; (7) Smart City, Smart Health, and FinTech; (8) Blockchain and Distributed Ledger Technology.

Research foci/expertise in the Department include (1) Organizational Behaviour: Leadership; Motivation; Decision-making; Creativity and Proactivity; Citizenship and Counterproductive Work Behaviour; Conflict Resolution and Negotiation; Risk and Uncertainty Management; Ethics; Organizational Justice; Work Stress; Emotions; Job Attitudes; Team Dynamics; Cross-Cultural Management, etc; (2) Human Resources Management: Strategic Human Resource Management; Recruitment & Selection; Training & Development; Selection and Assessment, etc; (3) International Business: Internationalization Strategy; International Entry Modes; MNC Control and Staffing; Intercultural Communication; Comparative Management; Culture and Cognition, Cross-Cultural Research Methods, etc; (4) Strategic Management and Entrepreneurship: Corporate Strategy; Corporate Governance; Competitive and Cooperative Strategy; Strategies in Emerging/Transition Economies; Organizational Decision-making; Organizational Changes; Mergers and Acquisitions (M&A); Top Management Teams; New Venture Creation and Management; Venture Capital Firm; IPO; Organizational Innovation and Management, etc; (5) Corporate Social Responsibility: Business Ethics; Stakeholder Management; Corporate Social Responsibility, etc.

Research expertise in the Department can be grouped into two streams: (1) Operations research and operations management in a broad sense, including specific areas such as healthcare management, inventory management, revenue management, financial engineering, sustainable operations, supply chain and logistics management, and interdisciplinary research between operations and risk management/marketing/finance/accounting;  (2) Business analytics in a board base sense, including  big data analytics, data mining, econometrics, credit risk management, optimization, simulation/decision models,  marketing analytics, healthcare analytics, and market research.

The Department of Marketing is renowned for its robust research in areas such as quantitative marketing, consumer behavior, and marketing strategy. The department excels in interdisciplinary research, integrating insights from economics, psychology, statistics, and digital marketing methods to better understand market dynamics and consumer decision-making. Additionally, the faculty’s research expertise on digital transformation in marketing analytics, competitive strategies, and the implications of emerging technologies on consumer interactions positions the department as a leader in the academic and professional marketing communities.

The Department’s research expertise and focus encompass several areas, including: (1) Computational Statistics, which covers topics such as Bayesian hierarchical models, empirical Bayes, Markov chain Monte Carlo, statistical machine learning, and large-scale data analysis; (2) Functional Data Analysis, which includes Bayesian inverse problems in physical oceanography, trajectory analysis in life course epidemiology, and oceanography; (3) Inferential Statistics, which involves efficient estimation for semiparametric models, model selection, empirical likelihood, knockoff statistics, non-standard asymptotic theory, and post-selection inference; (4) Statistical Genetics Genomics Omics, which covers the analysis of whole-genome sequencing data and integrative analysis of multi-omics data; (5) Survival and Event History Analysis, which includes competing risks models for HIV/AIDS data, network survival models, counting process, and martingale methods; (6) Time Series Analysis, which covers inference for stochastic processes, statistical finance, and risk management; (7) Causal Inference, which deals with methods for identifying causal relationships from observational or experimental data, with applications in medical research; (8) Spatial Statistics, which focuses on the analysis of data with spatial or spatio-temporal structure, including applications in epidemiology and public health; and (9) Deep Learning, which involves the development of algorithms and models for learning from complex and high-dimensional data, with applications in medical imaging, diagnosis, and treatment.

Research focus and expertise in the Department include: (1) Multimedia Computing:  Computer Vision; Computer Graphics; Audio Analysis; Speech Processing; Natural Language Analysis; Computer Games; Virtual Reality; Augmented Reality; Mixed Reality; Medical Imaging; Image Processing; Image and Video Coding; Human Motion Analysis; Perception, Neuroscience and Brain Informatics; Multimedia Analytics; Multimedia Information Retrieval; Wearable Computing; Social Media; Mobile Media; Pen Computing; Human Computer Interaction; Multi-modal Data Fusion; (2) Computer Systems and Security: Information Security; Cloud Computing; Internet of Things (IoT); Mobile Computing; Distributed Algorithms and Systems; Data Center Networks; Cyber-Physical Systems; Vehicular Networks; Sensor Networks; Wireless Security; Wearable Sensing; Traffic Estimation; Urban Computing; (3) Applied Algorithms: Bioinformatics; Data and Internet Security; Equilibrium Algorithms; Scheduling; Applied Cryptography; Algorithmic Game Theory; Heuristics; Blockchain; Cryptocurrency; (4) Artificial Intelligence and Big Data Analytics: Knowledge Management; Data Science; Big Data Analytics; Machine Learning; Artificial Intelligence; Database; Optimization; Text Mining; Information Retrieval; Semantic Object Modeling; Data Mining; Data Warehousing; Multimedia Data Indexing; XML and Interoperability; Workflow and Web Services; Recommender Systems; Sentiment Analysis; Deep Learning; Generative Models; Supervised Learning; Semi-supervised Learning; Unsupervised Learning; Neural Networks; (5) Systems, Software Engineering and Internet Applications: Internet Applications; Embedded Systems; Parallel Architecture; Real-time Systems; Software Engineering; E-commerce; E-learning; Innovative Technology for Education; Programming Languages and Systems; Empirical Software Engineering; Software Data Analytics; Software Quality; System Modelling; Software Defect Prediction; Software Effort Estimation; Software Testing; Software Project Management; Machine Learning in Software Engineering; Decentralized Application; Program Debugging; Intelligent Transportation Systems; Storage Systems; (6) Evolutionary Computation: Multiobjective Optimization; Swarm Intelligence; Multi-agent Evolutionary Optimization; Neurodynamic Optimization; Intelligent Control; Intelligent Marine Vehicles; Decomposition Based Algorithms; Computational Intelligence; Fuzzy Systems.

The Department of Data Science at CityUHK is one of the first in the world dedicated to leading the development of this new discipline. The Department comprises an interdisciplinary faculty team of leading academics in multiple areas including data science foundations (machine learning, statistics, optimization, and AI for Science) as well as data science powered applications (smart cities, Industry 4.0, FinTech, energy, public health, and precision medicine). Our PhD programme aims to offer students solid fundamentals of data science, which cover machine learning, statistics, computing, data analytics, and optimization, and nurture them to produce state-of-the-art research in data science. Selected research areas include:

• Machine Learning Theory and Algorithms (including deep learning, statistical learning, optimization, and reinforcement learning, etc.)
• Artificial Intelligence for Science
• Smart Cities and Industrial AI (Internet of Things, smart manufacturing, intelligent transportation, power and energy systems, smart healthcare and precision medicine, etc.)
• Business Data Analytics and Financial technology (FinTech)
• Data Science for Social Media, Innovation, and Policy

Research expertise in the Department mainly focuses on Sustainable Development of the Built Environment which includes: (1) Civil Engineering (including Structural, Geotechnical Engineering, Transportation, Smart City and Intelligent Construction Engineering and Management): Advanced Construction Materials (3D printing concrete; geopolymer concrete, ultra-high performance concrete; fiber-reinforced polymer composites, fiber-reinforced cementitious composites); Rheology control of cementitious materials; Carbon capture; Waste recycling and upcycling; Environmental  microbiology and biotechnology; Computational mechanics; Engineering mechanics; Nano-mechanics; Composite structures; Multiscale modeling; Wind engineering; Hydrology; Computational Fluid Dynamics (CFD); Seismic response and disasters; Structural integrity and diagnosis; Repair and strengthening of existing structures; Climatic change and hazard mitigation; Experimental soil mechanics; Micromechanics of soils; Machine learning and data analytics in geotechnical engineering; Geotechnical risk; Reliability and uncertainty; Landslides; Transportation; Pedestrian flow; Pavement materials and structures; Smart city development; Big data for construction project management; Construction robotics and human-robot interaction; Building information modeling and digital twin; AI-generated contents. (2) Architectural Engineering: Building systems and facilities management; Building sustainability; Building energy efficiency; Green and low-carbon buildings; Advanced ventilation; Natural and artificial lighting; Thermal comfort; Indoor and regional air quality; Fire safety engineering, Fire Evacuation.  (3) Architecture:  Construction and land economy; Architectural design, history, theory, ecology and technology; Landscape architecture; Architectural science. (4) Surveying and Urban Planning: Building information modelling; Building contracts and laws, and Disputes and resolutions; Real estate development, Urban climate; Urbanism, urban design and planning; Digital twin; Blockchain. 

The Department offers BEng, MSc and MPhil/PhD degrees in Biomedical Engineering. Research areas of the Department include: (1) Biomedical Imaging and Bioinstrumentation: Advanced biophotonics and novel imaging systems, Image analysis and image-guided interventions, Bioinstrumentation for imaging, disease diagnosis, and therapeutics. (2) Cell and Tissue Engineering: Micro/nanotechnology for cellular engineering, Biomaterial design and engineering for regenerative medicine, drug delivery and nano-medicine, Biomechanics and mechanobiology. (3) Robotics and Artificial Intelligence for Biomedical Applications: Bio/medical robotics and control systems, Artificial intelligence for biomedical applications. (4) Biosensors and Health Informatics: Biosensor and largescale biomedical data, Machine learning facilitated biomedical clouds/service, integrative microfluidic platform for precision medicine, and wearable/smart materials for healthcare.

The Department offers research degree studies in a wide range of research themes: (1) Antenna Design: computational electromagnetics, antenna theory, and metasurfaces; (2) Big Data, Machine Learning, and Artificial Intelligence: pattern recognition and machine learning in biomedical applications; (3) Bioinformatics: genomic sequence analysis and genome annotation; (4) Biomedical Systems, Biosensors, and Bioelectronics: biomedical imaging, neural prosthesis, visual prosthetics, and visual electrophysiology; (5) Computer Engineering: computer graphics and vision, cloud computing, computer architecture, embedded systems, and evolutionary computing; (6) Control Systems and Optimization: intelligent and networked control, complex networks, and nonlinear circuits and systems; (7) Microelectronic Devices and Circuits: micro-electromechanical systems (MEMS), biomedical sensors, and microsystems; (8) Nanotechnology and Nanodevices: nanophotonics, nanomaterials, and nanofabrication; (9) Networking and Internet of Things: optical networks, wireless networks, computer networks, queueing theory, performance evaluation; and security and cryptography; (10) Photonics: fiber and integrated optics, plasmonics, microwave photonics, and optical communications;  (11) Power Electronics and Systems: power electronics and smart grids; (12) Signal and Image Processing: biomedical image processing and analysis, image segmentation and registration, and image compression; (13) Terahertz and Millimeter Waves: terahertz science and technology, active terahertz devices, and millimetre-wave circuits; (14) Wireless Communications: wireless communications, wireless sensor networks, information theory, coding theory and techniques, visible light communications, and data storage systems.

The Department has state-of-the-art fabrication and characterization facilities for a wide range of research areas related to materials science and engineering. The faculty members of the Department carry out both fundamental and applied research under the three major targeted areas, namely, Functional materials, Structural materials and Computational materials. For (1) Functional materials, key elements include nanomaterials, organic light-emitting diode material, photovoltaic materials, energy storage related materials, sensing and detection, as well as photonics and optoelectronics materials. For (2) Structural materials section encompasses phase transformations, SMT solder joints, creep and life assessment, in-service behaviour of materials, stress analysis, structural materials design, surface science and engineering, thin films and coatings, metals and alloys, plastics and composites, shape memory alloys, and electrical ceramics. For (3), Computational materials include density functional theory calculation, molecular dynamic simulation, phase field modelling and multiscale modeling of mechanics of materials. In addition, members of the Department have collaborations around the world and are well-recognised in their research expertise. The ultimate goal of the department is to prepare graduates with professional knowledge, exploring spirit and leadership skills for the future world.

The Department has state-of-the-art fabrication and characterization facilities for a wide range of research areas related to materials science and engineering. The faculty members of the Department carry out both fundamental and applied research under the three major targeted areas, namely, Functional materials, Structural materials and Computational materials. For (1) Functional materials, key elements include nanomaterials, organic light-emitting diode material, photovoltaic materials, energy storage related materials, sensing and detection, as well as photonics and optoelectronics materials. For (2) Structural materials section encompasses phase transformations, SMT solder joints, creep and life assessment, in-service behaviour of materials, stress analysis, structural materials design, surface science and engineering, thin films and coatings, metals and alloys, plastics and composites, shape memory alloys, and electrical ceramics. For (3), Computational materials include density functional theory calculation, molecular dynamic simulation, phase field modelling and multiscale modeling of mechanics of materials. In addition, members of the Department have collaborations around the world and are well-recognised in their research expertise. The ultimate goal of the department is to prepare graduates with professional knowledge, exploring spirit and leadership skills for the future world.

The Department provides high quality educational and research experiences in disciplines related to systems engineering, intelligent manufacturing and industrial engineering, preparing graduates for professional and leadership roles in industry and academia. The Department carries out research in a number of multidisciplinary areas. Research in the Department includes Manufacturing systems, Semiconductor Manufacturing, Cyber-physical systems, Automation, Operations management, Industrial statistics, Reliability Engineering, Logistics and Supply Chain, Human Factors Engineering, Entrepreneurship, Project Management, Quality Management, etc.

學系的研究範疇及課題包括：（1）中國語言文學：中國古典文學、中國現代文學、中國經典研究（經學）、中國文學批評、中國哲學、古代漢語；（2）文化遺產及跨文化研究：藝術史、人類學、文化遺產、數碼人文、比較文學；及（3）中國歷史：考古學、唐宋元史、明清史、近現代史、城市史、佛教史、醫學史、文化交流史。學系課程中、英雙語並重。

學系的研究重點包括：（1）話語分析：會話分析、語料庫輔助話語分析、評論話語分析、體裁分析、中介話語分析、多模態話語分析、語用學、符號學和語段分析；（2）應用語言學與語言教學：身份認同、跨文化溝通、語言政策與規劃、教學語法、第二語言習得、第二語言寫作、自主學習、語言教師身份；（3）專業溝通：商業溝通、特指目的英語、語言和法律、勸說溝通、科學修辭學、醫療和風險溝通；（4）語言、科技和媒體：電腦輔助語言學習、數碼讀寫能力、語言和移動通訊、網上話語；（5）英語教學語言：英語教學的附帶語言習得、英語作教學語言的教學法、專業話語技巧;（6）文學研究：世界文學、後殖民文學、現代與當代小說、十九世紀文學與文化、犯罪小說、旅行書寫、以及比較文學。（7）戲劇與表演研究：現代與當代話劇、表演研究。（8）文化研究：電影研究及視覺文化、時尚研究、創意工業和文化。

翻譯及語言學系致力於語言的系統研究，力求研究視角與方法的多樣性。目前的研究重點和專長包括：（1）實證與實驗語言學：計算語言學、 語料庫語言學、神經語言學、心理語言學；（2）普通語言學：形式語言學（語義學、句法學、形態學、音系學、語音學及介面）、功能語言學、歷史語言學、社會語言學、文本語言學；（3）教學語言學：應用語言學、第二語言學習與教學、語言學為本的語言教學法、英漢對比研究、對外漢語教學；（4）翻譯與傳譯：翻譯與傳譯研究、翻譯理論、計算機輔助翻譯、機器翻譯及術語學。

學系的研究方向包括：（1）新媒體與科技：信息傳播或新媒介的擴散、使用與影響；互聯網及流動媒體的影響；計算機中介傳播；計算機人機互動；政策與法規；經營策略（2）媒體機構與社會：國家、社會、媒體間關係；新聞製作；媒體機構；記者及專業素養；媒介內容之社會影響（3）政治傳播：輿論；公民及政治參與；政治宣傳與社會活動；（4）媒介心理學及傳播效果：認知過程；媒介效果；互動廣告；（5）計算傳播研究：社會網絡分析，大數據挖掘；計算社會學研究；（6）健康傳播：說服，健康傳播敘事，健康信息處理；（7）戰略傳播: 公共關係，廣告, 整合營銷。

公共及國際事務學系(PIA) 是世界領先的研究樞紐，致力於公共政策、國際事務、政治哲學和城市治理等方面的研究。學系擁有來自世界頂尖大學的優質師資，畢業生亦於各個領域 [如政界、學術界、商界和非政府組織] 擔任重要的職務。作為獲得 HKPFS 獎項的領軍部門之一，學系將為博士生提供該領域領先的學術訓練和學習資源。在這裡，學生可以接受優秀的思辨和技術訓練，並且享受與來自世界各地的訪問學者討論研究的機會。

學系的畢業生具備優良的溝通技巧、良好的領導才能、精闢的分析能力，這讓他們能夠剖析現今社會所面對的挑戰，並提出有效的改善建議。學系的學術研究在香港和全球機構中具有高影響力的貢獻，PIA的教授經常就社會關注的問題接受國際和當地媒體的采訪。

學系尤其著重同學的個人及專業發展。學生有機會到海外實習體驗，出版研究作品，及與頂尖的教授團隊合作發展研究項目。畢業生在職場上亦能發揮所長，在學術界、私人及公共機構擔任重要崗位。加入PIA意味著加入本港及亞洲最領先的部門之一。在2023年QS世界大學學術排名中，香港城市大學世界排名第五十四，在前五十所五十年以下的大學排名中，排行第四。而在2023年的學科排名中，香港城市大學在公共行政領域排名全港第一、亞洲第二及全球第23，而政治學在本港亦排名第一。

學系的研究重點/專長包括：（1）應用社會學：勞工，階層化，社會組織，社區，家庭，性別，種族，社會偏差，社會福利，政治，生活質量，社會資本，社會運動，社會政策，當代社會問題，公民社會和社會發展; （2）心理學：認知偏差，自我概念，教育心理學，親密關係，壓力與情緒調控，正向心理學，積極老齡化，創造力，侵害，韌性和人本價值; （3）社會工作：個案工作，小組工作，社區工作; 兒童，青年，老人和家庭工作, 家庭暴力，人口老齡化，健康的社會決定因素，社會弱勢群體賦權導向實踐，衝突管理與調解，志願服務，社會工作管理與監督; （4）咨詢與輔導：認知行為治療，敘事治療，家庭治療，家長教育和支持，婚姻潤澤和心理治療過程，校園欺凌，兒童及青少年暴力攻擊行為，同儕受害，抑鬱與自殺;（5）犯罪學：復和性司法，青少年司法，有組織犯罪，少年犯罪，中國犯罪學，反腐敗，警務，預防犯罪，學校欺凌，幫派和外展青年工作, 以及網絡犯罪。現有研究工作，常有跨領域的合作，而不僅僅是單一領域。比如關於家屬照顧者的需求評估中，團隊成員既有社會工作教授，也有心理學教授。

The Department is very unique in a multidisciplinary nature by integrating Chemistry, Biology, and Environmental Science. Research focus/ expertise in the Department include:

(1)  Synthetic Chemistry: green chemistry; spectroscopy and catalysis; catalyst design and synthesis; organic electroluminescent devices; inorganic photo-responsive and luminescent chemosensors; organometallic chemistry; homogeneous catalysis;

(2) Materials Chemistry: green materials/manufacturing; organic and inorganic functional materials; nanoscience and nanotechnology; organic light-emitting devices; crystal phase control; solar cells;

(3) Biological Chemistry: chemical biology; bioinorganic chemistry; bioorganic chemistry; developmental and cell biology; nano-biotechnology and biosensing; DNA and RNA chemistry; genomics and biotechnology; proteomics and metabolomics;

(4) Computational Chemistry: energetics and reactivities of chemical species; mechanisms of chemical reactions;

(5)  Environmental Chemistry: freshwater and marine pollution; aquatic ecology and conservation; renewable energy, energy storage and management, energy efficiency and conservation; ecotoxicology; environmental monitoring; environmental impact and risk assessment.

Research strengths/disciplines of the Department include: (1) Applied Analysis: approximation theory, asymptotic analysis, harmonic analysis, inverse problems, kinetic theory, learning theory, partial differential equations, random matrix theory, and special functions; (2) Computational Mathematics: complexity theory, computational electromagnetics, image processing, numerical analysis, numerical linear algebra, and scientific computing; (3) Mathematical Modelling: control and system theory, fluid mechanics, general relativity, granular materials, mathematical biology, mathematical elasticity, mathematical finance, mathematical modelling of waves, and mathematics of new materials; (4) Probability and Statistics: Bayesian statistics, high dimensional data analysis, mean field games, probability theory, statistical learning theory, stochastic analysis, stochastic controls, and stochastic processes.

Research focus/expertise in the Department include: (1) Theoretical and Computational Physics: condensed matter theory, computational solid state physics, computational electrodynamics, computational chemistry, computational biology physics, quantum computation and information, quantum simulation with cold atoms, machine learning; (2) Spectroscopy and Imaging: sophisticated experiments involving quantum beams such as synchrotron x-ray, neutron, electron, coherent light, and NMR, structure and phase transition in glass and liquids, Boson peak and the dynamics of glass and liquids, quantum interactions such as spin-orbit coupling in multiferroics, single molecule electronics; (3) Atomic, Molecular, and Optical Physics: mechanism of noise and decoherence, open quantum system and quantum entanglement, multi-photon interference, non-equilibrium physics in AMO system, nonlinear optical spectroscopy, opto-mechanics, photonic crystals and metamaterials; (4) Quantum Materials: topological quantum computing and Majorana fermions, Dirac and Weyl semimetals, Bose-Einstein condensation and spin-orbit coupling, quantum Hall Effect, transport phenomena, superconductivity, frustrated magnetism, 2D materials, heterostructures and interfaces; (5) Soft Matter and Biophysics: dynamics of protein and subcellular processes, emergent phenomena in live cells, non-equilibrium mechanisms in active living matter, biological networks, biological and clinical experiments, novel physics-based data acquisition protocol, instrumentation in biomedical imaging, radiation biophysics, ion-track technology; (6) Astrophysics and Particle Physics: dark matter, black holes, gravitational waves, cosmology, and high energy theory.

The Department carries out internationally competitive research and promotes interdisciplinary collaboration in biomedical sciences. Its research programmes aim to understand fundamental mechanisms of biological processes and diseases, and translate new knowledge into the development of novel diagnostic and therapeutic strategies for prediction, prevention, and treatment of human diseases. Departmental research focuses on four strategic areas:

• Cancer biology and therapy;
• Genomics and bioinformatics;
• Vascular, metabolic and regenerative biology; and
• Infectious diseases and immunity.

Multidisciplinary approaches are employed and supported by a wide range of state-of-the-art equipment with cutting-edge techniques in areas including molecular and cell biology, genetics and genomics, physiology and pharmacology, systems biology and bioinformatics, microbiology and immunology, and biotechnology and nanotechnology. 

The Department focuses on One Health, an area spanning the health of animals, humans and the environment. Our principal research areas include:

• enhancing an understanding of the pathogenesis and natural history of infectious diseases in animals, with the overarching aim of improving methods for their diagnosis and control
• improving animal health and welfare through application of more effective disease control methods
• supporting the efficient and economic production of safe, both terrestrial and aquatic, animal-based food and other derived products
• monitoring current and emerging infectious diseases in animals that may impact on human health, including drug-resistant pathogens
• fostering collaborations between medical and veterinary personnel in the provision of targeted public health measures
• improving animal welfare through research, teaching and public education

Neuroscience is a rapidly growing discipline that acknowledges the remarkable importance of the brain, the most complicated biological machine. Modern neuroscientists have skills suited for a variety of career options including research, education, industry and medicine, to name a few. The field is driven by discovery and translational research that is interdisciplinary in nature and benefits from City University’s strong programs in biomedical sciences, computational science, applied mathematics and engineering.  Neuroscience is entering a period of extraordinary opportunity for translating basic findings into treatments for diseases such as stroke, dementia and Parkinson disease.  Research is conducted across a broad range of topics from the molecules that underlie neuronal communication to the mechanisms of sensory perception to the events that underlie memory and learning.  Major research areas include:

• The physiology and neurochemistry of memory and learning
• Psychophysics of visual and auditory perception
• Normal and abnormal functions of neuronal circuits
• Neurophysiology of animal behavior
• The pathophysiology of nerve and brain injury and repair
• Neuroglial cell functions in normal and disease states

The Department of Veterinary Clinical Sciences has a clear vision to be Asia’s preeminent body advancing veterinary clinical science in response to evolving societal needs.

The research mission of the Department of Veterinary Clinical Sciences is to advance animal health through cutting-edge clinical research. We seek to deliver translational solutions for common and emerging clinical problems. Our research themes include:

•   Disease emergence in shelter-housed animals

•   Viral oncology

•   Advancing animal welfare

•   Advancing veterinary medical education

•   Production diseases in farm animals

•   Equine diseases and welfare