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Chua Tat SengView profile

Professor

• unstructured data analytics
• multimedia information retrieval
• recommendation systems
• +6 more

Chua Tat Seng is a Professor at the School of Computing, National University of Singapore (NUS), holding the KITHCT Chair Professorship since 2009. He serves as co-Director of the NExT++ Center, a joint research center between NUS and Tsinghua University focused on Extreme Search. His academic career spans over three decades at NUS, where he has held various leadership positions including Acting Dean of the School of Computing (1998-2000) and Acting Head of the Department of Information Systems & Computer Science (1996-1998). Professor Chua's research spans unstructured data analytics , multimedia information retrieval , recommendation and conversation systems , and emerging applications in e-commerce and fintech . He established the Lab for Media Search (LMS) at the School of Computing and has been instrumental in advancing multimodal learning and search technologies. His work bridges theoretical foundations with practical applications, particularly in developing trustable AI systems for real-world deployment. His recent publications demonstrate a strong focus on large language models for recommendation systems , multimodal learning , and generative AI applications . The research trends show increasing emphasis on LLM-based recommendation, multimodal understanding, and addressing fundamental challenges in AI reliability, fairness, and efficiency. His work spans theoretical advancements in representation learning to practical applications in e-commerce, finance, and healthcare domains. ACM SIGMM Technical Achievement Award 2015 Multiple Best Paper Awards across ACM Multimedia, IEEE Transactions, and MMM conferences (2007-2020) Professor Chua has supervised 37 PhD students since 2004, establishing himself as a dedicated mentor in the academic community. His research has been supported by substantial grants including NExT++ ($12 million), Base Metals Price Forecasting ($200,000), and Multilingual Multimodal Knowledge Graph ($500,000). He maintains active collaborations with Tsinghua University, University of Southampton, and industry partners like Four Elements Capital and Singapore Press Holdings. As co-Director of the NExT++ Center, he leads a major research initiative focused on Web Intelligence and User Empowerment. His visiting professorships at Tsinghua University (2017-present) and Zhejiang University (2021-present) reflect his international impact in the field of multimedia and AI research.

Sabrina FurtadoView profile

Lecturer

• Sport Management
• Sports Governance
• Public Policy in Sports
• +6 more

Sabrina Furtado is a Lecturer in Sport Management and Dean’s Associate Fellow at Loughborough University’s School of Sport, Exercise and Health Sciences. She holds a BSc, MSc, and PhD. Previously, she taught at the Federal University of Paraná and State University of Santa Catarina in Brazil, focusing on sport management, sports law, and entrepreneurship in the sports sector. Her research focuses on sports governance, strategic planning, and policy development in public and private sports entities. Key areas include Olympic and Paralympic federations, sports financing, and the impact of media representation on disability inclusion. She contributes to the Sport, Business and Society and Lifestyle for Health and Wellbeing research groups, as well as the Inteligência Esportiva Research Institute . Recent work analyzes governance structures in Santa Catarina municipalities, business intelligence applications in sports management, and modernization processes in Brazilian Olympic federations. Her publications span topics like Paralympic organizational roles, media stigma in disability sports reporting, and funding mechanisms for sports initiatives. No scientific awards are mentioned. Sabrina advises master’s students on sport management and policy but no grant details are provided. Her current projects aim to strengthen sports policies and enhance stakeholders’ engagement in the sport system.

• Network Security
• Cryptographic Protocols
• Industrial Control System Security
• +7 more

Professor Ernest Foo is a distinguished academic at Griffith University's School of Information and Communication Technology, specializing in cybersecurity with a focus on industrial control systems and cryptographic protocols. With over 15 years of experience in computer networking, he has established himself as a leading expert in SCADA security and smart grid cybersecurity. His research has significant practical applications in critical infrastructure protection, and he has developed hands-on security training programs that have trained professionals from major Australian utilities and government agencies. Professor Foo's educational background includes: Bachelor of Engineering with Honours in Electronic and Computer Engineering from University of Queensland Doctor of Philosophy from Queensland University of Technology Professor Foo's research interests center around secure cryptographic protocols with specific applications in industrial control system security and cyber physical systems. His work spans SCADA security, smart grid protection, wireless sensor network security, and post-quantum cryptography. He has made significant contributions to understanding vulnerabilities in industrial protocols like Modbus and DNP3, and has pioneered the application of process mining and data mining techniques for attack detection in critical infrastructure systems. His research bridges theoretical security concepts with practical implementations in real-world industrial environments. Professor Foo's recent publications demonstrate a clear trajectory toward increasingly sophisticated security frameworks for critical infrastructure. His work shows a progression from foundational SCADA security research to advanced applications of artificial intelligence, machine learning, and formal methods in cybersecurity. A notable trend is the integration of zero trust principles with industrial control systems, alongside growing emphasis on post-quantum cryptographic solutions. His publications span high-impact journals and conferences in cybersecurity, with increasing focus on anomaly detection in cyber-physical systems and the application of graph-based machine learning techniques to network security challenges. Professor Foo's notable scientific achievements include: Best paper award at the 2nd International Cyber Resilience Conference for "Gap analysis of Intrusion Detection in Smart Grids" Professor Foo has secured significant research funding including an ARC Linkage grant with Powerlink Queensland focused on cyber security for electricity sub-stations. He currently leads multiple research projects including Westpac Micro-Credentials in Financial Crime Investigation, Digital Banking Micro-credentials with ANZ, and research on quantum-safe cryptography. As a dedicated educator, he serves as Program Director for multiple cybersecurity programs including the Master of Cyber Security, and has supervised numerous doctoral and masters students. His Cyber Security: Industrial Control System course, conducted annually from 2013-2018, featured innovative hands-on training with real-world participants from major Australian utilities. Professor Foo has been instrumental in establishing the SCADA security research laboratory with multiple vendor system miniatures running industrial PLCs. His work bridges theoretical security concepts with practical implementations, making significant contributions to the security of industrial control systems and critical infrastructure worldwide.

Na DuView profile

Assistant Professor

• Human-Computer Interaction
• Human Factors in Smart City Technologies
• Human-Centered Computing
• +4 more

Na Du is an Assistant Professor in the Department of Informatics and Networked Systems at the University of Pittsburgh's School of Computing and Information. She holds a PhD in Industrial & Operations Engineering from the University of Michigan (2021) and a Graduate Certificate in Data Science. Her research focuses on human factors in smart cities, human-centered computing, and user experience design. She is affiliated with the Intelligent Systems Program, Pitt Cyber, and the Center for Governance and Markets. Education: PhD in Industrial & Operations Engineering (University of Michigan, 2021); Undergraduate in Psychology (Zhejiang University). Research emphasizes explainable AI, human-AI teaming, and smart technologies. Recent grants include funding from Honda Research Institute and Pitt Cyber Accelerator for projects on emotions in Human-AI interaction and Metaverse privacy awareness. Her work has been recognized with awards like the HFES Best Paper Award and the IOE Outstanding Student Award. Advising includes PhD students and researchers in human factors and UX design. The HAT Lab under her leadership explores interdisciplinary challenges in human-computer interaction and smart systems.

Maurizio DallocchioView profile

Professor

• Corporate Finance
• Mergers & Acquisitions
• Corporate Restructuring
• +3 more

Maurizio Dallocchio is a Full Professor of Corporate Finance at Bocconi University and SDA Bocconi School of Management. He served as Dean of SDA Bocconi (2003–2007) and has held leadership roles in academic and professional institutions, including Chair of the Audit Committee of the European Investment Bank (EIB). His research focuses on corporate valuation, mergers & acquisitions (M&A), and sustainable finance. Dallocchio founded DGPA & Co., a corporate finance consultancy, and advises public and private entities globally. He has taught at leading institutions like London Business School and NYU Stern School of Business. Educational Background: Ph.D. in Business Administration, Bocconi University Advanced studies at London Business School and New York University Stern School of Business Research Interests: Prof. Dallocchio’s work emphasizes corporate restructuring, ESG integration in finance, and strategic valuation methodologies . Recent studies explore environmental performance in emerging markets and the resilience of conglomerates during economic crises. He advocates for sustainable investment strategies that balance financial returns with societal impact. Professional Engagements: Board member roles at Klepierre Management, General Finance, and Podravska Banka Past Director of the Master in Corporate Finance program at SDA Bocconi Labs/Teams: Leads research initiatives at Bocconi’s Corporate Finance and Real Estate Department, collaborating with global institutions on projects involving corporate governance, M&A analytics, and sustainable development.

Yizhi WangView profile

Assistant Professor

• Financialization
• Econometrics
• Climate Finance
• +5 more

Dr Yizhi Wang, FHEA, is a Lecturer (Assistant Professor) in Finance at Cardiff Business School, Cardiff University, UK. He serves as Co-Director of the Cardiff Fintech Research Group and is the Editor-in-Chief of Elsevier’s Finance Research Letters . He is also Associate Editor for International Review of Financial Analysis and Research in International Business and Finance , and Guest Editor for International Review of Economics & Finance and Journal of Chinese Economic and Business Studies . Research Interests: Financialization and Econometrics Climate finance and carbon markets Cryptocurrency and FinTech indices Energy economics and risk management Green finance and ESG investing Behavioral and institutional finance Dr Wang has published extensively in world-leading journals such as Risk Analysis , European Journal of Operational Research , Journal of Economic Behavior & Organization , Energy Economics , and Journal of International Money and Finance . His work spans theoretical modeling, empirical econometrics, and policy-oriented studies. Scientific Awards: Shanghai Institute of International Finance and Economics Best Paper Award Teaching & Supervision: As a Fellow of the UK Higher Education Academy (FHEA), Dr Wang is module leader for undergraduate BS2514: Financial Markets and Institutions and postgraduate BST158: Big Data Analytics for Finance , earning consistently high teaching evaluations (4.8–4.9/5). He is available to supervise doctoral students in Financialization and has mentored graduates now employed at the University of Oxford, Morgan Stanley, and JPMorgan Chase. Labs & Research Groups: Co-Director, Cardiff Fintech Research Group Member, Cardiff Sustainable Finance Research Group Member, Environmental, Ecological, Extinction Accounting, Governance and Economics Research Group Member, Cardiff Business School Research Committee Dr Wang also curates multiple quarterly-updated indices (UCRY, ICEA, CBDCAI, NFTsAI, ACCC, FinTech Index) publicly available at https://sites.google.com/view/cryptocurrency-indices/home .

• Electrical and Electronic Engineering
• Computer Hardware
• Computer Software
• +7 more

Professor Peter Y. K. Cheung is a Professor of Digital Systems at Imperial College London, holding dual affiliations within the Department of Electrical and Electronic Engineering and the Dyson School of Design Engineering. His work focuses on reconfigurable systems, FPGA architectures, and high-level synthesis tools. He co-founded one of the UK's leading FPGA research groups with Professor Wayne Luk, addressing challenges in variability mitigation, reliability, and application-specific FPGA deployments. His research spans Field-Programmable Gate Arrays (FPGAs) Reconfigurable computing Neural network acceleration Cryptographic protocols Embedded systems He has pioneered techniques such as logic shrinkage for FPGA-based neural networks and developed frameworks like LUTNet for efficient inference. His contributions also include fault-tolerant FPGA designs and methodologies for distributed computation protocols. Key collaborations include work with the Department of Computing on FPGA-based AI acceleration and cybersecurity applications. His recent work explores edge computing, secure decentralized systems, and pandemic modeling using adaptive control strategies. Notable projects include the DSCS protocol for secure distributed computation, acceleration of gravitational wave detection algorithms, and energy-efficient CNN implementations. His research bridges hardware-software co-design with real-world applications in healthcare, finance, and aerospace.

John ArmourView profile

Professor

• Company Law
• Financial Regulation
• Corporate Insolvency
• +4 more

John Armour is a Professor of Law and Finance at the University of Oxford, serving as Dean of the Faculty of Law and Chair of the Law Board. He holds fellowships at the British Academy and the European Corporate Governance Institute. His research focuses on integrating legal and economic analysis, particularly in corporate governance, financial regulation, and corporate insolvency law. He previously held roles at the University of Cambridge and has been a visiting scholar at institutions such as the University of Chicago and the Max Planck Institute. Armour’s educational background includes an MA and BCL from the University of Oxford and an LLM from Yale Law School. He has contributed to major policy projects for the UK government, the World Bank, and the European Commission. His editorial roles include Executive Editor of the Journal of Corporate Law Studies and Journal of Law, Finance and Accounting . Research Interests: Corporate law, financial regulation, insolvency frameworks, and the real-world economic impacts of legal changes. Policy Engagement: Advised UK regulators (BEIS, FCA) and international bodies on corporate governance and financial stability. Awards: Fellow of the British Academy and European Corporate Governance Institute. Armour teaches courses such as Company Law, Principles of Financial Regulation, and Comparative Corporate Law. His recent work explores climate-related corporate commitments and AI’s role in legal practice, including initiatives like the Unlocking the Potential of AI for English Law project.

Chee Kiat SeowView profile

Associate Professor

• Cyber Physical Security
• Wireless Communication Localization
• Internet of Things (IoT) with AI/ML
• +3 more

Dr. Chee Kiat Seow is an Associate Professor at the University of Glasgow's School of Computing Science. He holds a PhD from Nanyang Technological University (NTU) and an MSc from the National University of Singapore (NUS). His research focuses on cyber-physical security, wireless communication localization, and IoT systems leveraging AI/ML. He has led projects valued in the millions, winning awards like the IEEE Best Student Paper and National Instruments Engineering Impact Awards. Education: PhD (NTU), MSc (NUS) Research: Specializes in UWB positioning, spoofing detection, and IoT integration with 5G/GNSS. Teaching: Courses include Big Data, Software Engineering, and Data Analytics. His recent work addresses NLOS mitigation in indoor localization and cyber-physical security threats. Over 63 publications span journals like IEEE Transactions and conferences such as IPIN and WF-IoT. Supervised 6+ PhD/MSc students on topics like autonomous robotics and AI-driven localization. Grants: Includes $853K for 5G-X Smart Building projects and $797K for GNSS signal authentication. Awards: IEEE PIERS Best Student Paper (2019), NI Engineering Impact Awards (2015-2016). He advises on IoT and cybersecurity for organizations like ARTC and National Instruments. Active in IEEE Signal Processing and Computer Society.

• Electric Power Systems
• Renewable Energy Integration
• Energy Policy and Economics
• +3 more

Benjamin F. Hobbs serves as the Theodore M. and Kay W. Schad Professor of Environmental Management at Johns Hopkins University, holding a primary appointment in the Department of Environmental Health and Engineering and a joint appointment in the Department of Applied Mathematics and Statistics. He is co-director of the USEPA Yale-JHU SEARCH Center and director of the NSF-funded Electric Power Innovation for a Carbon-free Society (EPICS) Center, focusing on interdisciplinary research at the intersection of energy systems, environmental management, and public health. Hobbs' educational background includes a BS from South Dakota State University (1976), an MS in Resources Management and Policy from SUNY-Syracuse (1978), and a PhD in Environmental Systems Engineering from Cornell University (1983). Prior to joining Johns Hopkins in 1995, he worked at Brookhaven and Oak Ridge National Laboratories and served as a professor at Case Western Reserve University, with additional visiting appointments at institutions including Cambridge University. His research integrates systems analysis, economics, and optimization to address critical challenges in electric utility planning, renewable energy integration, and environmental resource management. Key focus areas include solar forecasting using AI, green infrastructure for urban water management, health impacts of energy transitions, and grid reliability under high renewable penetration. His work emphasizes practical applications through engineering-economic modeling with rich technological and environmental detail. Analysis of his recent publications reveals a strong trend toward addressing grid reliability in decarbonizing systems, with increasing emphasis on market design innovations, resource adequacy under uncertainty, and storage-transmission tradeoffs. His research consistently bridges theoretical optimization with real-world policy implementation, particularly evident in his leadership of the EPICS Center's 100% renewable grid initiatives. Lifetime Achievement Award by Energy Systems Integration Group (ESIG), 2024 Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the Institute for Operations Research and Management Science (INFORMS) Hobbs advises graduate students through Johns Hopkins' interdisciplinary programs, with alumni employed as energy consultants, policy analysts, and researchers. His current grants include leadership of the NSF Global Center EPICS and co-direction of the USEPA SEARCH Center, focusing on energy-air-climate-health interactions. He chairs the Market Surveillance Committee for the California Independent System Operator and serves on editorial boards for Energy Economics and other leading energy journals. He leads the Hobbs Energy & Environment Decisions Research Group, which collaborates with institutions including IBM, National Renewable Energy Laboratory, and University of Texas at Dallas. The group participates in the Global Power Systems Transformation Consortium and Columbia-JHU Future Power Markets Forum, conducting fieldwork initially in California and the central United States.

KHOO Siau ChengView profile

Associate Professor

• Programming Languages
• Code Analytics
• Software Engineering
• +7 more

KHOO Siau Cheng is an Associate Professor in the Department of Computer Science at the National University of Singapore (NUS) School of Computing. He also serves as Co-Director of the NUS Business Analytics Centre, established in 2013 in collaboration with the Economic Development Board of Singapore and IBM. His academic journey began with a Ph.D. in Computer Science from Yale University in 1992. Professor Khoo's research focuses on improving software developer productivity through advanced programming language theories and software engineering techniques. His work spans multiple areas including static program analysis, dynamic program optimization, code analytics, and specification mining. He has applied his expertise to develop domain-specific languages for financial data analysis and has pioneered techniques for discovering dynamic program behaviors via data-mining approaches. Research Interests: Programming Languages and Software Engineering Code Analytics and Program Analysis Specification Mining and Bug Signature Discovery Static and Dynamic Program Analysis Program Transformation and Optimization Domain-Specific Languages Professor Khoo's publications demonstrate a consistent focus on improving software quality and developer productivity. His recent work emphasizes scalable approaches to refactoring detection, bug signature mining, and specification inference, showing an evolution from theoretical foundations to practical applications in software maintenance and quality assurance. As an educator and mentor, Professor Khoo has supervised numerous graduate students to completion of their M.Sc. and Ph.D. degrees. His research projects have provided valuable training opportunities for students while addressing important challenges in software development. He has also contributed significantly to academic administration, having served as Vice Dean (Undergraduate Studies) in the School of Computing from 2005 to 2011 and currently as Co-Director of the Master of Science (Business Analytics) Programme.

Tommaso GabrieliView profile

Associate Professor

• Urban Economics
• Real Estate Valuation
• Behavioral Economics
• +12 more

Dr. Tommaso Gabrieli is an Associate Professor in Real Estate at the Bartlett School of Planning, University College London (UCL), where he has been employed since September 2015. His academic career spans multiple institutions including the University of Reading, City University London, University of Warwick, and the Catholic University of Milan. His educational background includes: PhD in Economics from the University of Warwick (2009) MSc in Economics from the London School of Economics and Political Science (2003) Fellowship of the Higher Education Academy from the University of Reading (2013) As a theoretical economist trained in the ambrosian tradition of social welfare, Gabrieli's research focuses on the economic analysis of urban policy issues. His expertise encompasses economic modeling of real estate markets, financial viability of urban projects, multi-dimensional value measurements, and value-capture mechanisms. He has developed novel interdisciplinary methods bridging urban planning and design with economics, making him one of few economists actively collaborating with urban planning scholars in the UK. His work addresses Sustainable Development Goals including No Poverty, Good Health, Decent Work, Reduced Inequalities, Sustainable Cities, and Climate Action. His recent publications demonstrate a strong focus on urban design governance, value capture mechanisms, and the interface between economic theory and urban planning practice. The research spans theoretical explorations of post-growth planning and practical applications in land value recovery, particularly examining implications for housing affordability, wealth distribution, and community wellbeing in both urban and rural contexts. His work often integrates behavioral economics with spatial planning considerations. Professional recognition includes: Fellow of the Higher Education Academy Gabrieli has extensive experience supervising PhD and MSc dissertations across multiple institutions. His teaching portfolio includes Real Estate Appraisal and Valuation at UCL, where he leads relevant modules for both undergraduate and graduate programs. He has contributed to significant research projects including 'Street Appeal' commissioned by Transport for London and the Horizon 2020-funded 'UrbanMaestro' project worth 1 million Euros. His research impact has been formally recognized by Transport for London. Currently, he leads the 'Future Urban Growth Lab' project, funded by UCL Knowledge Exchange and Innovation Funding, in partnership with the Royal Town Planning Institute and Politecnico of Turin. This project aims to operationalize an urban growth model prototype for use by local authorities in planning future city development, bridging academic research with practical planning applications.

Chris SpeedView profile

Professor

• Design Informatics
• Regenerative Design
• Sustainable Design
• +7 more

Chris Speed is a Professor of Design for Regenerative Futures at RMIT University, Australia, and Director of Regenerative Futures. Previously, he held academic roles at the University of Edinburgh, including leading the Institute for Design Informatics and co-designing the Edinburgh Futures Institute. His research focuses on design-driven solutions for social, environmental, and economic challenges, leveraging data and emerging technologies. Key areas include blockchain applications, sustainable design, and regenerative systems. Affiliations: RMIT University (Current), University of Edinburgh (2012–2024) Grants: £7.4m Creative Informatics (UK), £5m DECaDE (Digital Economy) Publications: Over 50 peer-reviewed articles on design informatics, regenerative futures, and blockchain ethics. Research interests span Design Informatics, Human-Computer Interaction, and Sustainable Design. He has supervised 23 PhD/MPhil students and pioneered projects like OxChain (blockchain for charitable giving) and Creative Informatics (data-driven creative industries). Awards: Fellow of the Royal Society of Edinburgh (2020), Chancellor’s Award for Research (University of Edinburgh, 2020). Collaborations include BBC, Oxfam, and the Digital Catapult. His work emphasizes co-creation with communities to address systemic challenges, such as climate action and cultural value measurement.

Ellen E MeadeView profile

Research Professor

• Monetary Policy
• Central Bank Accountability
• Central Bank Decisionmaking
• +3 more

Ellen E Meade is a Research Professor of Economics at Duke University's Trinity College of Arts & Sciences, joining in 2022 after 25 years at the Federal Reserve Board. Her academic career includes roles as Special Adviser to the Fed Board of Governors and Senior Adviser in the Division of Monetary Affairs. She holds a Ph.D. from Princeton University (1988) and a B.A. from Duke University (1979). Her research focuses on monetary policy mechanisms, central bank transparency, decisionmaking processes, and communications strategies. Notable projects include analyzing FOMC discourse patterns using AI and examining gender representation in economics publications. Recent media engagements include commentary on Federal Reserve policies under Jay Powell and Janet Yellen. Teaching includes courses on inflation dynamics, modern monetary policy, and independent research supervision. Her work bridges academic research with practical central banking challenges, emphasizing institutional governance and policy effectiveness. No formal advisees are listed, but her courses engage advanced economics students in critical policy analysis.

Lynn BlewettView profile

Professor

• Health care policy
• Access to care
• Health disparities
• +4 more

Lynn Blewett is a Professor in the Division of Health Policy & Management at the University of Minnesota's School of Public Health. She serves as the Director of the State Health Access Data Assistance Center (SHADAC), a research and policy center funded by the Robert Wood Johnson Foundation that supports state efforts to monitor and evaluate programs to increase access and coverage. PhD in Health Services Research, Policy and Administration, School of Public Health, University of Minnesota MA in Public Affairs, Hubert H. Humphrey School of Public Affairs, University of Minnesota BA in Psychology, University of Wisconsin Dr. Blewett's research focuses on health care policy and access to care, with expertise in health disparities, Medicaid/CHIP, immigrant health, survey research, and international health systems. As an advocate for information access, she helped bring a Census Research Data Center to the University of Minnesota, which is the only RDC with a health services and policy focus. Her work bridges academic research with practical policy applications at the state level. Analysis of Dr. Blewett's publications reveals a consistent focus on health insurance coverage, access to care, and state-level health policy implementation. Her research spans methodological approaches including survey research, policy analysis, and data resource development. Recent work has increasingly addressed the impacts of the COVID-19 pandemic on healthcare access and material hardship, while maintaining her longstanding focus on underinsurance, Medicaid policy, and state health policy monitoring systems. Dr. Blewett directs SHADAC, which provides high-level access to federal surveys for state policymakers. Her work has been instrumental in developing state capacity to monitor health coverage and access. While specific awards aren't listed in the available information, her leadership of a major Robert Wood Johnson Foundation-funded center indicates significant recognition in her field. As Director of SHADAC, Dr. Blewett leads a team focused on supporting state efforts to monitor and evaluate health access and coverage programs. Her work involves collaborating with state policymakers, researchers, and advocates to translate data into actionable policy insights. The Census Research Data Center she helped establish at the University of Minnesota serves as a critical resource for health services and policy researchers requiring access to restricted federal data.