會計學研究涵蓋財務會計、審計和公司治理領域的廣泛議題。會計學系的研究重點包括：(1) 債務契約問題，例如債務違約、債務監控、信用質量評估，債權市場以及債權定價（特別是信用違約互換一類的債權工具問題）；(2) 中國、美國及國際的公司治理和外部監督問題，這些問題與所有權結構、社會制度、法律制度及信息環境相關；(3) 反財務欺詐與避稅問題，例如財務重述、美國或中國證監會的會計和審計法規、公司避稅與內部控制報告的經濟後果、會計質量與信用、稅務複雜性與合規性；(4) 會計披露問題，例如公司披露與審計質量、盈餘管理、會計穩健性、公司自願披露或管理層預測、審計費用。

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 develops scholars who can draw on the concepts and methods of information technology, organizational behaviour and strategy, economics, and other related disciplines in researching complex issues arising from the analysis, design, implementation, application, and management of information systems in organizations. Particular emphasis is placed on the links between theory and practice and on utilizing innovative information systems methods and techniques to address business, organizational, and societal problems. The research methodologies employed range from behavioural methods (both qualitative and quantitative), technical modeling, data analytics, and simulation to econometrics. Main areas of research include (1) Digital Transformation; (2) Artificial Intelligence in Business and Human-Centered Artificial Intelligence; (3) Business Analytics and Data Science; (4) Human-Computer Interaction, Web3, and the Metaverse; (5) Technological Innovation and Technopreneurship; (6) FinTech; (7) Smart City and Digital Society; (8) Electronic/Mobile/Ubiquitous Commerce; (9) Online Social Networks; (10) IS Policy and Economic Analysis; (11) Digital Health and Healthtech; (12) Cybersecurity and Blockchain; (13) Platform Economy; (14) Cryptocurrency and Digital Economy; (15) NeuroIS.

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.

管理科學系的研究側重於定量分析，強調數學、統計、經濟學和電腦科學理論和技術在商業和管理領域中的應用。

研究領域大體分為兩個方向。一個是運籌和運營方向，包括物流和供應鏈管理、庫存管理、定價和收益管理、醫療健康服務、風險管理、金融工程等。另一個是商業統計和分析方向，包括大數據分析、數據挖掘、數量經濟、信用風險評估、數學優化、市場分析等。

Research foci/expertise in the Department include: (1) Strategic Marketing and International Business: international strategic alliance, foreign direct investment, global sourcing strategy, knowledge management, organizational learning, marketing channels, interfirm governance, relationship marketing, network theory; (2) Consumer Behavior: psychological, social and cultural aspects of consumer behavior; (3) Quantitative Marketing : analytical modeling and empirical modeling.

Research expertise in the Department mainly focuses on Built Environment which includes: (1) Civil Engineering (including Structural, Geotechnical Engineering, Transportation, Smart City and Construction Engineering Management): Computational mechanics; Engineering mechanics; Nano-mechanics; Composite structures; Wind engineering; Hydrology; Environmental engineering; Seismic response and disasters; Structural integrity and diagnosis; Construction materials; Experimental soil mechanics; Micromechanics of soils; Machine learning and data analytics in geotechnical engineering; Geotechnical risk; Reliability and uncertainty; Landslides; Infra-structural engineering; Transportation; Pedestrian flow; Smart city development; Construction Engineering Management. (2) Architectural Engineering: Building systems and facilities management; Energy, natural and artificial lighting; Thermal comfort, indoor and regional air quality; Building sustainability; 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, 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.

研究重點/專長包括： (1) 多媒體計算學： 機器視覺；計算機圖形學；音樂，語音和語言處理；遊戲和虛擬環境；擴增混合實境；醫學影像；圖像處理；圖像和視頻編碼；三維人體動作捕捉，分析和動畫化；感知研究，神經科學和腦信息學；多媒體分析；多媒體信息檢索；多媒體傳感和可穿戴計算；社交媒體和移動媒體； （2）分佈式移動計算和無線網絡： 信息安全； 雲計算； 物聯網；移動計算；分布式算法和系統；互聯網絡； 無線網絡；WDM光網絡； （3）應用算法： 生物信息學；數據和互聯網安全；均衡算法；調度；應用密碼學；（4）數據科學和知識管理：數據科學技術； 大數據分析；機器學習；人工智能； 數據庫； 優化；文本挖掘；信息檢索；語義對象建模；（網絡）數據挖掘和倉儲；移動/多媒體數據索引和緩存；XML和互操作性；工作流程和Web服務； （5）系統，軟件工程和互聯網應用： 嵌入式系統；並行體系結構；實時系統；軟件工程；電子商務；電子學習；創新科技教育； （6）進化計算： 多目標進化計算；群體智能；機器學習，傳統優化和進化計算的協同；多智能體進化優化學。

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.

Academic programmes offered by the Department span from BEng degrees with Mechanical Engineering, Aerospace Engineering, and Nuclear and Risk Engineering majors, MSc degree in Mechanical Engineering, to MPhil/PhD degrees in disciplines such as Nano/Molecular Engineering, Sustainable Manufacturing, Materials Engineering, Thermal Fluid, Aerospace Materials/Systems, Robotics/Mechatronics/Automation and Nuclear and Risk Engineering. Research areas of the Department include (1) Mechanical Engineering: Mechanical Design; Rapid Prototyping; Flexible Assembly Systems; Solid Mechanics; Fluid Mechanics; Multiphase Flow and Heat Transfer; Physical Metallurgy & Material Forming; Experimental Mechanics; Tribology; Surface Engineering & Thin Films; Structural Materials; Neural-Controlled Robots; Micro/Bio/Nano Robotics; Mobile/Flying Robots; Industrial Robots; Intelligent Control; Remote Sensing & Control; Intelligent Sensor Networks; Radio Frequency Identification (RFID); Automatic Materials Handling; Automation for Entertainment & Healthcare; Machine Vision. (2) Aerospace Engineering: high temperature alloys; advanced aerospace composites; combustion and propulsion; noise and vibration control; aerospace structures; aerospace system. (3) Nuclear and Risk Engineering: Nuclear Safety; Nuclear Power Management; Nuclear Materials; Nuclear Medicine; Risk Assessment and Management; Emergency Management.

The Department provides high quality educational and research experiences in disciplines related to intelligent manufacturing and systems 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）中國語文、文學及文化：中國經典研究（經學）、中國文學批評、中國哲學、古代漢語、中國古典文學、中國現代文學與文化；（2）比較文學、跨文化研究及文化遺產：比較文學、東亞文學及文化、文化研究、文化遺產；及（3）中國歷史：城市史、佛教史、醫學史、藝術史、思想史、中古史、明清史、近代中國史、文化交流史、數碼人文。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，力圖視角的廣泛性和研究方法的多樣化。目前的研究重點和專長包括：（1）語料庫及實證語言學：認知語言學、計算語言學、 語料庫語言學、對話行為分析、詞匯語義學、神經語言學、文體學、心理語言學；（2）普通語言學：漢語語言學、語篇分析、形式語言學、功能語言學、歷史語言學、形態學、語音學、音韻學、社會語言學、系統功能語法、句法－語義學介面、篇章語言學；（3）教學語言學：應用語言學、計算機輔助語言學習、英漢對比研究、詞典學、語言學為本的語言教學法、第二語言學習與教學、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。

公共政策學系提供的課程致力培育優秀的公共政策專業人才。畢業生會在不同範疇的組織架構中身居要職，當中包括公、私營機構，非政府及志願組織。學系為同學創造一個充滿活力的學習環境，讓他們能夠從具創意及批判性的角度去探討現今本地、鄰近地區、以致全球所面對的主要政策挑戰。

學系的畢業生具備優良的溝通技巧、高度協作精神、良好的領導才能、精闢的分析能力，讓他們能夠剖析社會問題並對症下藥, 提出有效的改善建議。學系尤其着重同學的個人發展，因此，學系特別投放資源為同學提供一系列的活動，例如：海外交流、海外實地考察、實習課程等體驗學習。為了能夠讓同學盡展所長，學系的教授均要求同學在上課前作充份準備並積極參與課堂上的討論。

公共政策學系既多元化又國際化，能為課堂注入充滿活力的國際及本地元素。學系的主要研究方向包括：（1）倫理和政治理論 ；（2）政治研究；（3）政策研究；（4）公共管理。不少教授在他們各自的教育和研究範疇上均舉足輕重，並積極參與社會事務。學系在區內的相關領域可謂首屈一指：在2020年世界大學學術排名中，香港城市大學的公共行政/管理研究在本港及亞洲均排名第一，於世界排名第二十二。而政治學在本港亦排名第一，在亞洲排名第四，並名列世界前二百名

研究的重點/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，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）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; （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，而不是單領域項目。例子之一是家屬照顧者的需求評估，團隊中有社會工作領域的教授，也有心理學領域的教授。

Research focus/expertise in the Department include: (1) Computational Statistics: Bayesian hierarchical models, empirical Bayes, large-scale data analysis, Markov chain Monte Carlo, statistical machine Learning; (2) Functional Data Analysis: Bayesian inverse problems in physical oceanography, oceanography, trajectory analysis in life course epidemiology ; (3) Inferential Statistics: efficient estimation for semiparametric models,  empirical likelihood, knockoff statistics, model selection, non-standard asymptotic theory, post-selection inference; (4) Statistical Genetics Genomics Omics: analysis of whole-genome sequencing data, integrative analysis of multi-omics data; (5) Survival and Event History Analysis: competing risks models for HIV/AIDS data, counting process and martingale methods, network survival model; (6) Time Series Analysis: inference for stochastic processes, risk management, statistical finance.

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; (2) Spectroscopy and Imaging: sophisticated experiments involving quantum beams such as synchrotron x-ray, neutron, electron, coherent light, and NMR, the structure and phase transition in glass and liquids, Boson peak and the dynamics of glass and liquids, quantum interactions such as spin-orbital coupling in multiferroics; (3) Atomic, Molecular, and Optical Physics: mechanism of noise and decoherence, open quantum system and quantum entanglement, non-equilibrium physics in AMO system, opto-mechanics, photonic crystals and metamaterials; (4) Quantum Materials: topological quantum computing and Majorana fermions, Dirac and Weyl semimetals, topological and dynamical phenomena and Bose-Einstein condensation and spin-orbit coupling, quantum Hall Effect, transport phenomena, superconductivity, frustrated magnetism, topological superconductors, 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.

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