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Ting Kei PongView profile

Professor

• Continuous optimization
• Convex relaxations
• First-order methods
• +3 more

Ting Kei Pong is a Professor in the Department of Applied Mathematics at the Hong Kong Polytechnic University, where he has been employed since August 1, 2014. His research focuses on continuous optimization, with particular expertise in convex relaxations and first-order methods for large-scale optimization problems. Dr. Pong received his Bachelor's degree in 2004 and MPhil degree in 2006 from the Department of Mathematics at the Chinese University of Hong Kong. He completed his PhD in 2011 from the Department of Mathematics at the University of Washington under the supervision of Professor Paul Tseng, with co-advisement from Professors Maryam Fazel and Rekha Thomas after Professor Tseng's disappearance. His postdoctoral training included positions at the University of Waterloo (2011-2013) and the University of British Columbia (2013-2014) as a PIMS postdoctoral fellow. His research interests span Continuous Optimization , with current focus on convex relaxations and first-order methods for large-scale problems. He also investigates constraint qualifications for convex optimization, statistical computation, and robust optimization. His work bridges theoretical foundations with practical applications in areas such as compressed sensing, sensor network localization, and machine learning. Dr. Pong's publication record demonstrates consistent high-impact contributions to optimization theory. His recent work (2022-2025) shows a strong focus on convergence analysis, error bounds for conic optimization problems, and development of efficient algorithms for nonconvex optimization. His research often combines theoretical analysis with practical implementation, as evidenced by the availability of code for many of his publications. He serves as Associate Editor for Mathematics of Operations Research (since 2019) and on the editorial boards of Computational Optimization and Applications, Pacific Journal of Optimization, and Open Journal of Mathematical Optimization. Dr. Pong actively mentors students and postdocs, currently supervising PhD students Yanbo Wang and Hao Zhang, and postdoc Jiefeng Xu. His former students have secured positions at institutions including the University of Texas Arlington, University of Hong Kong, and Sun Yat-Sen University. His advising reflects his research expertise, with students working on topics in nonconvex optimization, compressed sensing, and matrix factorization. He maintains an active research schedule, regularly presenting at major optimization conferences including ICCOPT, ISMP, and SIAM Optimization. His upcoming talks in 2025 demonstrate continued research productivity in error bounds for log-determinant cones and single-loop proximal-conditional gradient methods.

T.C. Edwin ChengView profile

Professor

• Operations Management
• Supply Chain Management
• Operations Research
• +5 more

Ir Professor T.C. Edwin Cheng serves as Dean of the Faculty of Business, Chair Professor of Management, and Fung Yiu King – Wing Hang Bank Professor in Business Administration at The Hong Kong Polytechnic University. He is also an Academician of The International Academy for Systems and Cybernetic Sciences and a Fellow of multiple prestigious institutions. University of Hong Kong: B.Sc.[Eng] (First Class Honours) University of Birmingham: M.Sc. University of Cambridge: Ph.D. and Sc.D. His research spans operations and supply chain management, with a focus on scheduling science , innovation management , and quality control . Recent work includes blockchain in supply chains, vaccine distribution models, and robotics in logistics. Professor Cheng has authored over 1,000 SCI/SSCI papers and 17 books. His 2025 publications address healthcare coordination , blockchain-driven transparency , and automated warehouse optimization . Rh Award (1989) Outstanding Young Engineer of the Year (1992) Croucher Senior Research Fellowship (2001) Academician of The International Academy for Systems and Cybernetic Sciences (2016) Fellow of Hong Kong Academy of Engineering Sciences (2018) Top 2% Scientists in Operations Research (Stanford, 2022) He has secured over HK$50 million in research funding and acts as a management consultant, advising businesses on operational efficiency. His leadership roles include President of The International Institute of Management.

Kara Ka Wah CHANView profile

Professor

• Advertising
• Consumer Behavior
• Cross-cultural Studies
• +3 more

Dr. Kara Ka Wah CHAN is an Associate Dean and Professor at the Department of Communication Studies, Hong Kong Baptist University (HKBU). She holds a PhD in Psychology from City University of Hong Kong, alongside degrees from HKU, CUHK, and Rockbridge Seminary. Her research focuses on advertising impact on children/youth, cross-cultural consumer behavior, social inclusion, and health communication. She has authored eight books and over 180 journal articles. Education: BSc (HKU), MPhil (CUHK), MSocSc (HKU), MML (Rockbridge Seminary), PhD (CityU). Research Interests: Advertising Effects, Cross-cultural Studies, Health Communication, Social Inclusion, Youth Consumerism. Her articles explore topics like public service advertising effectiveness, digital divide impacts, and health literacy. Notable works include studies on YouTube endorsements and school-based health interventions. Awards: Five Emerald Literati Awards, HKBU Teaching Awards (2020), UGC Teaching Award finalist (2020), Knowledge Transfer Award (2016). She advised multiple research projects and supervised numerous students, highlighted by the President’s Research Supervision Award (2018). She led editorial roles for Young Consumers (2020-21) and contributed to interdisciplinary collaborations in health and communication fields.

• Defects in semiconductors
• Carrier transport in semiconductors
• Semiconductor junctions
• +5 more

Francis Chi Chung Ling serves as an Associate Professor in the Department of Physics within the Faculty of Science at The University of Hong Kong (HKU). His academic journey began at HKU where he earned his B.Sc., M.Phil., and Ph.D. degrees. He maintains professional affiliations as C.Phys., M.IEEE, and F.Inst.P., and conducts research at Room 417, Chong Yuet Ming Physics Building. Office: CYP 417 Contact: 3917 5248 / 2559 9152 Email: ccling@hku.hk ORCID: https://orcid.org/0000-0003-4757-1065 Professor Ling's research spans multiple critical areas in semiconductor physics and materials science. His primary focus centers on defect characterization and engineering in semiconductors, particularly examining how defects influence electrical, optical, and magnetic properties. His work with positron annihilation spectroscopy provides atomic-scale insights into vacancy defects, while his investigations into deep level transient spectroscopy and carrier transport mechanisms advance fundamental understanding of semiconductor behavior. His laboratory maintains international collaboration with the positron beam line at Helmoltz Zentrum Dresden Rossendorf in Germany. Analysis of his 207 publications reveals a strong concentration on zinc oxide (ZnO) systems, silicon carbide (SiC), and other wide bandgap semiconductors. His recent work shows increasing focus on energy applications including photovoltaics, neuromorphic computing elements, and battery materials. The publications demonstrate consistent methodology combining experimental characterization with theoretical analysis, particularly emphasizing defect engineering approaches to modify material properties. Faculty Excellent Service Award: Faculty of Science, HKU (2008) Best Poster Award: ICMAT 2007, Singapore Faculty Knowledge Exchange Award 2024 for SiC Power Devices collaboration Professor Ling has supervised over 35 research postgraduate students across MPhil and PhD programs, with recent graduates focusing on SiC devices, ZnO-based materials, and 2D semiconductor structures. His grant portfolio includes significant funding as Principal Investigator on 17 projects totaling over HK$8 million, with recent major awards including HK$1.26 million for 'Bipolar Degradation in SiC Devices Suppressed by Proton Implantation' (2023) and HK$804,000 for 'Optimising the Performance of SiC Devices Through the Control of Atomic Scale Deep Level Defect' (2021). He leads the Material Physics Laboratory within HKU's Experimental Condensed Matter and Material Science Group, specializing in defect characterization and engineering of functional materials. The laboratory maintains specialized equipment for deep level transient spectroscopy, temperature-dependent Hall measurements, and luminescence spectroscopy, with international access to positron beam facilities in Germany.

GUO YingxiaView profile

Lecturer

• Japanese grammatical studies
• Japanese-Chinese contrastive linguistics
• Teaching Japanese / Chinese as a second language

Dr. GUO Yingxia is a Lecturer in the Department of Japanese Studies at The Chinese University of Hong Kong (CUHK). Her academic work primarily focuses on Japanese grammatical structures, contrastive analysis between Japanese and Chinese, and pedagogical approaches to teaching East Asian languages as second languages. She holds a Ph.D. in Japanese Social and Cultural Science from Niigata University, reflecting her expertise in Japanese language education and cross-cultural linguistic studies. Dr. GUO's publications highlight her engagement with Japanese political history, cultural integration in language teaching, and curriculum design. Her research explores the application of standardized frameworks like the JF Standard for Japanese-Language Education, while also addressing practical strategies for language learners. Notably, she has contributed to understanding the nuances of Japanese-Chinese grammatical contrasts, particularly in structures like "Noda" and "Shi-De." Her work bridges theoretical linguistics with pedagogical innovation, emphasizing sustainable Japanese language education practices and fostering Japan-Hong Kong academic collaborations. Dr. GUO's research has been published in key venues such as 日本學刊 and 現代社會文化研究科プロジェクト論集 , with topics spanning from cultural pedagogy to grammatical analysis.

TU Shiu Hong SimonView profile

Lecturer

• Art Festivals in Japan
• Rural Revitalization in Japan
• Modern Japanese Visual Culture
• +3 more

Dr. TU Shiu Hong Simon serves as a Lecturer in the Department of Japanese Studies at The Chinese University of Hong Kong, contributing to both undergraduate and postgraduate programs within the Faculty of Arts. His interdisciplinary academic background bridges Japanese Studies, Anthropology, and Design, positioning him uniquely to examine cultural phenomena in contemporary Japan. His educational journey includes a Ph.D. in Japanese Studies from CUHK, an M.A. in Japanese Studies from Sophia University in Tokyo, an M.A. in Anthropology from CUHK, and a B.A. in Design (Culture and Theory) from The Hong Kong Polytechnic University. This diverse foundation informs his approach to cultural analysis. Dr. TU's research primarily investigates Art Festivals in Japan , with special focus on the Setouchi Triennale's impact on rural communities, Rural Revitalization in Japan through cultural initiatives, and Modern Japanese Visual Culture . His ethnographic approach examines how large-scale art projects transform island communities and create sustainable development models. His work demonstrates how cultural events serve as catalysts for community engagement and economic renewal in depopulating regions. His publications reveal consistent focus on the intersection of contemporary art, community development, and cultural policy in Japan, particularly examining how artistic interventions reshape rural landscapes and social structures. His translation work on Takashi Murakami's writings further demonstrates engagement with theoretical frameworks of contemporary Japanese art. As part of CUHK's Department of Japanese Studies, Dr. TU contributes to the department's mission of exploring Japan-Hong Kong cultural relationships and participates in the department's research initiatives examining cross-cultural exchanges in East Asia.

• Machine Learning
• Non-parametric Methods
• Computational Methods
• +6 more

Yifan Chen is an Assistant Professor in the Department of Computer Science and affiliate faculty in the Department of Mathematics at Hong Kong Baptist University's Faculty of Science. He joined HKBU in Fall 2023 after completing his PhD in Statistics from the University of Illinois Urbana-Champaign in 2023 under the guidance of Prof. Yun Yang. His educational background includes: B.S. in Statistics from Fudan University (2018), advised by Prof. Juan Shen and Prof. Chenghong Zhang Ph.D. in Statistics from University of Illinois Urbana-Champaign (2023), advised by Prof. Yun Yang Dr. Chen's research focuses on developing efficient algorithms for machine learning, with particular emphasis on non-parametric models and neural networks featuring intensive matrix operations. His work bridges statistical theory with practical computational challenges in modern machine learning systems, especially those involving Transformers (language models) and Graph Neural Networks (GNNs). He approaches machine learning from both theoretical and applied perspectives, seeking to understand statistical structures while addressing real-world computational constraints. His publication record shows consistent output in top-tier venues including ICML, NeurIPS, KDD, and EMNLP, with recent work spanning graph coarsening, optimal transport, efficient language model fine-tuning, and causal inference. His research demonstrates strong mathematical foundations combined with practical applications in AI systems. Among his notable achievements: NSFC Young Scientists Fund (2025) GDSTC General Program funding (2024) RGC Early Career Scheme proposal grant (2024) ICML 2023 Grant Award ($1,500) Dr. Chen actively mentors students through his research group, supervising PhD students and visiting research assistants. He has successfully guided students who have gone on to PhD programs at institutions including Institute of Science Tokyo, HKU, Fudan, and NUS. His teaching includes COMP 7070 Advanced Topics in Artificial Intelligence and Machine Learning, which covers core machine learning concepts for AI application research, and COMP 2027 Applied Linear Algebra for Computing. His research group focuses on efficient machine learning algorithms, with current projects spanning graph neural networks, optimal transport, language model efficiency, and causal inference. He collaborates with researchers from institutions including UIUC, Fudan University, and industry labs like Amazon Alexa AI.

Yanbo WangView profile

Associate Professor

• Entrepreneurship
• Strategy
• Innovation
• +4 more

Yanbo Wang is an Associate Professor of Strategy and Innovation at the University of Hong Kong's Business School, where he serves as Associate Director of the Centre for Innovation and Entrepreneurship. He holds a Ph.D. in Management from MIT Sloan and a B.A. in International Relations from Peking University, with prior teaching appointments at Boston University, Cheung Kong Graduate School of Business, and the National University of Singapore. His educational background includes: Ph.D. in Management, MIT Sloan B.A. in International Relations, Peking University Dr. Wang's research centers on technology-based entrepreneurship, examining how institutional environments shape startup strategic decisions, organizational structures, and financial outcomes in China. He investigates the entrepreneurial ecosystem and evaluates state innovation subsidy programs, with core interests spanning entrepreneurship, strategy, innovation, business model innovation, and technological change in emerging markets. His publication record (2014-2024) features high-impact studies in Strategic Management Journal , Management Science , and Administrative Science Quarterly , revealing critical insights about state-grant programs, talent recruitment efficacy, venture evaluation biases, and fraud-innovation dynamics. A consistent theme explores institutional influences on entrepreneurial success within China's unique economic landscape. Dr. Wang has extensive teaching experience across institutions, delivering courses in International Entrepreneurship, Business Model Innovation, and Technological Innovation for BBAs, MBAs, and PhDs. He served as doctoral program director in strategy and policy at NUS, though specific student names and grant details remain undisclosed in available materials. He maintains active professional engagement as an executive board member of the Asian Innovation and Entrepreneurship Association (AIEA), editorial board member for Administrative Science Quarterly and Strategic Management Journal , external PhD examiner for NUS, and reviewer for over 15 academic journals including AMJ and IEEE TEM .

Shipeng YANView profile

Assistant Professor

• ESG
• Corporate Sustainability
• Political Economy
• +2 more

Dr. Shipeng YAN is an Assistant Professor of Management and Strategy at HKU Business School, The University of Hong Kong. With a sociological orientation, he specializes in ESG issues and political economy from an organization theory perspective. His research has been published in top management journals including Administrative Science Quarterly, Organization Science, and Journal of International Business Studies. He serves as Deputy Editor for Organization & Environment and Senior Editor for Management and Organization Review. Dr. YAN's educational background includes: PhD in Management from IESE Business School Bachelor's in Business Administration (Information Systems) from the University of Hong Kong Dr. YAN's research focuses on the intersection of ESG (Environmental, Social, and Governance) issues, political economy, and organization theory. He examines how institutions shape corporate responsibility, market emergence, and sustainability practices across diverse contexts including global markets, China, and Taiwan. His work explores religious environmentalism, anti-slavery regulation, ESG investing, climate litigation, and corporate non-market strategy, consistently bridging theoretical insights with practical implications for organizations navigating complex institutional environments. His recent publications demonstrate a cohesive research trajectory examining institutional dynamics affecting corporate environmental and social performance, with increasing focus on Chinese firms' international strategies and digital responsibility in aging societies. The work spans methodological approaches including quantitative analysis of large datasets and case-based examinations of emerging organizational forms. Dr. YAN has received several prestigious awards: Best Senior Editor Award, Management and Organization Review (2025, 2024) Emerging Scholar Award, ONE Division, Academy of Management (2023) Dean's Research Excellence Award, College of Business, City University of Hong Kong (2021) Finalist, Outstanding Research Award for Junior Faculty, City University of Hong Kong (2020) IESE Alumni Research Prize for Best Published Paper (2019) As an academic mentor, Dr. YAN emphasizes developing independent scholars while respecting students' boundaries. His service contributions include membership on HKU's Staff Student Consultation Committee, Program Leadership at City University of Hong Kong, and Communications Chair for the Organization and Management Theory Division of the Academy of Management. He has received numerous revision requests from UTD journals, reflecting the high regard for his work in the academic community. Dr. YAN maintains an active research agenda examining critical issues at the intersection of business, society, and the environment, with recent projects analyzing ESG practices in China's wine industry and digital responsibility initiatives for aging populations. His work continues to shape understanding of how organizations navigate complex institutional environments to address sustainability challenges globally.

Steven Alan BarnettView profile

Professor

• Chinese Macroeconomy
• Household Consumption and Savings
• Fiscal Policy
• +2 more

Steven Alan Barnett is a Professor of Practice in Economics at The University of Hong Kong, bringing over 25 years of distinguished experience in international economic policy, particularly through his extensive career at the International Monetary Fund (IMF). At HKU, he contributes to the university's leadership in global economic scholarship through teaching, research, and public engagement. Professor Barnett's academic credentials include a Ph.D. in Economics from the University of Maryland, College Park (1992-1997), an M.A. in Russian, East European, and Eurasian Studies from Stanford University (1989-1990), and a B.A. in Economics with Honors from Stanford University (1986-1990). His research focuses on the Chinese macroeconomy, household consumption and savings patterns, fiscal policy, and global macroeconomic trends. Professor Barnett is widely recognized as an authority on China's economy, having pioneered key fiscal metrics including the now-standard augmented deficit and debt framework for China. His work examines how China's economic policies affect not only domestic development but also global economic stability, with particular attention to the relationship between social safety nets and economic behavior. Professor Barnett's publication record reveals a strong focus on emerging markets, particularly China and Mongolia, with recurring themes of fiscal policy, consumption dynamics, and economic reform. His most recent work addresses institutional development in Africa-China economic partnerships, while earlier publications examine green finance, fiscal vulnerabilities in China, inflation dynamics in Mongolia, and the relationship between social safety nets and consumption. Senior Resident Representative in Beijing, IMF Advisor to the Deputy Managing Director, IMF Chief of the China Division, IMF Assistant Director of the IMF's Tokyo Office Resident Representative in Thailand Mission Chief for Mongolia Fiscal economist for reform programs in Turkey and Georgia As a public intellectual, Professor Barnett is a frequent speaker at high-profile forums such as the Boao Forum for Asia, the CSIS Global Panel, and the Finance Street Forum. His insights have appeared in major media outlets including Bloomberg, CCTV, and CGTN, where he is known for making complex economic trends accessible and actionable for diverse audiences ranging from corporate leaders and investors to academics and journalists.

Jingcun CaoView profile

Assistant Professor

• Mobile App Ecosystem
• Online Education
• Health Care
• +9 more

Jingcun Cao is an Assistant Professor at the University of Hong Kong, where he joined in 2020. He holds a Ph.D. in Marketing from Indiana University, an M.A. in Economics and Business from the same institution, and a B.S. in Computational Mathematics from Xiamen University. He also completed visiting programs at the University of Chicago Booth School of Business and National Tsing Hua University. His research addresses mobile app ecosystems, online education, healthcare, digital marketing, and environmental policy. Methodologically, he specializes in causal inference, applied machine learning, randomized field experiments, and econometrics. His collaborations with tech firms focus on business intelligence and big data analytics. Teaching responsibilities include courses such as Big Data Marketing (MKTG 3530), Introduction to Marketing (MKTG 2501), and executive education modules in MarTech, Business Analytics, and Brand Management. His publications analyze trends in digital platform governance, deep learning applications for consumer behavior, socioeconomic impacts of policy interventions, and mobile app monetization strategies. Research consistently integrates multidisciplinary approaches to solve industry-relevant problems. He is currently recruiting Research Assistants and holds pending patents for machine-learning algorithms related to marketing analytics.

• Investments
• Derivative Securities
• Fixed Income Securities
• +4 more

Dr. Alex Chan is an Associate Professor of Teaching in the Finance department at The University of Hong Kong's Faculty of Business and Economics, where he also serves as the BEcon/BEcon&Fin Programme Director. He holds a Ph.D. in Finance from The Hong Kong University of Science and Technology and a First-Class Honors B.Soc.Sc. in Economics and Statistics from The University of Hong Kong. His research spans investments, derivative securities, fixed income, risk management, behavioral finance, exchange rate systems, and education economics. Key projects include convertible bond valuation, currency board optimization, and cultural impacts on corporate decisions. He has developed courses for Executive MBA, Full-time MBA, Master of Finance, and undergraduate programs, covering topics like Risk Management, Corporate Finance, and Derivatives. Dr. Chan has received multiple teaching awards and holds professional certifications as a Financial Risk Manager (FRM) and Chartered Financial Analyst (CFA). He serves as Deputy Chairman of The Hong Kong Institute of Bankers' Associateship Examination Moderating Sub-Committee.

• Financial Accounting
• Auditing
• Financial Reporting Quality
• +3 more

Prof. Lilian Him Lai CHAN serves as Associate Professor in the Department of Accounting and Law at The University of Hong Kong (HKU), concurrently holding the position of BBA (Accounting & Finance)/BBA (Analytics & Digital Accounting) Programme Director. Her office is located in KK 1208 with contact number 3917 4217. Her academic credentials include: BBA from The Chinese University of Hong Kong MSA from University of Illinois at Urbana-Champaign PhD from University of Texas at Dallas Dr. Chan's research centers on archival financial accounting and auditing, with concentrated expertise in financial reporting quality, corporate disclosure mechanisms, and corporate governance structures. A defining aspect of her work examines clawback provisions—their adoption triggers, impacts on financial reporting integrity, and behavioral consequences for executives and investors. Her findings have directly influenced U.S. Securities and Exchange Commission policymaking and generated extensive international media coverage through outlets like CFO.com and Accounting Today. Analysis of her publication timeline (2012-2024) reveals an evolving research trajectory from foundational clawback studies in earnings management toward broader implications for capital investment efficiency and bank loan contracting. These works consistently bridge accounting theory with real-world financial regulation, appearing in premier journals including Journal of Financial Economics and Journal of Accounting and Economics. As Programme Director, she shapes curriculum development for accounting-focused BBA programs while teaching Intermediate Financial Accounting II (undergraduate) and Accounting for Business Decisions (MBA). Her research impact is evidenced by SEC citations and American Accounting Association press features, though specific grant details remain unreported in available materials.