Find Academic Supervisors

• Artificial Intelligence
• Computer Security
• Multi-Agent Systems
• +3 more

Dr. Chunyan Mu serves as a Senior Lecturer in the School of Natural and Computing Sciences at the University of Aberdeen, actively contributing to both academic instruction and cutting-edge research in computing science while currently accepting new PhD students. Her research program centers on Trustworthy AI and Safe Autonomy, with specialized expertise in formal verification of responsibility, accountability, and privacy mechanisms within multi-agent systems. She investigates resilience frameworks for autonomous intelligent systems and develops advanced methodologies for information flow security analysis, bridging theoretical computer science with practical security implementations. Analysis of her publication trajectory (2014-2025) reveals consistent innovation in applying formal methods to security-critical systems. Key thematic developments include probabilistic strategy logic for observability analysis, quantitative verification of opacity properties, and game-theoretic approaches to security verification, demonstrating increasing sophistication in handling multi-agent accountability and system resilience challenges. Dr. Mu currently supervises PhD candidates and offers a fully funded doctoral position focused on formal verification of safety properties in autonomous systems, providing comprehensive financial support including tuition coverage, £20,780 annual stipend, and dedicated research funding for candidates with strong backgrounds in formal methods and artificial intelligence.

Pratul SrinivasanView profile

Researcher

• Computer Vision
• Computer Graphics
• Machine Learning
• +3 more

Pratul Srinivasan is a Researcher at Google DeepMind specializing in Neural Radiance Fields (NeRF) , 3D scene reconstruction , and view synthesis at the intersection of computer vision , graphics , and machine learning . He earned his PhD from the EECS Department at UC Berkeley in 2020 under Ren Ng and Ravi Ramamoorthi , with prior research at Duke University on medical computer vision under Sina Farsiu . Research Interests: Pratul focuses on 3D reconstruction using neural fields, light field synthesis , illumination modeling , and diffusion-based 3D generation . His work addresses challenges in photorealistic rendering , real-time view synthesis , and inverse rendering with applications in astronomy and medical imaging . Publication Trends: Recent articles emphasize real-time NeRF (e.g., Bolt3D), refractive material modeling , shadow-based illumination recovery , and cross-scale generative synthesis . Collaborations span institutions including MIT , NVIDIA , and ETH Zurich . Scientific Awards: 2025 SIGGRAPH Significant New Researcher Award 2021 ACM Doctoral Dissertation Award Honorable Mention 2020 David J. Sakrison Memorial Prize Best Paper Awards at ECCV 2020, ICCV 2021, and CVPR 2022 Advising & Collaborations: Advised by Ren Ng and Ravi Ramamoorthi during his PhD, Pratul collaborates with researchers like Jonathan T. Barron , Ben Mildenhall , and Katherine L. Bouman . His work integrates differentiable simulations , Fourier feature networks , and multiplane image extrapolation . Technical Contributions: Key innovations include anti-aliased NeRF , memory-efficient rendering , refractive relighting , and multi-view relighting techniques , with impacts on virtual reality , astronomical imaging , and 3D content creation .

• Artificial Intelligence in Organizations
• Algorithmic Management
• Digital Labor Platforms
• +3 more

Hatim Rahman serves as Associate Professor of Management and Organizations and Sociology (by courtesy) at Northwestern University, holding the prestigious PepsiCo Chair in International Management. His research fundamentally examines how artificial intelligence and algorithms reshape work structures, employment relationships, and labor market dynamics, with particular focus on digital platform ecosystems and algorithmic management systems. Professor Rahman's academic credentials include a PhD in Management Science & Engineering (2019) and MS in Organizations, Technology, Entrepreneurship (2014) from Stanford University, complemented by a BA in Business Process Management with Minor in Technology and Management from the University of Illinois-Urbana Champaign (2009). His scholarly work centers on the sociotechnical transformation of work through algorithmic systems, investigating worker reactivity to opaque evaluations, platform power dynamics, and emergent resistance movements in digital labor markets. Key contributions explore the "invisible cage" of algorithmic control, the experimental nature of platform management, and the sociological implications of AI-driven workplace restructuring. His research bridges management theory, sociology of work, and technology studies to address critical questions about fairness, autonomy, and accountability in the algorithmic age. Analysis of his publication trajectory reveals a clear evolution from creative occupations research (2017) toward concentrated investigation of algorithmic labor platforms (2021-2025). His work consistently demonstrates how digital platforms reconfigure worker autonomy through experimental management practices, opaque evaluation systems, and novel control mechanisms, while simultaneously generating new forms of worker resistance and activism. The 2024 book "Inside the Invisible Cage" synthesizes these insights into a comprehensive framework for understanding algorithmic worker control. Professor Rahman's exceptional contributions have earned him significant recognition: National Science Foundation CAREER Award recipient for bridging STEM skills and employment gaps George R. Terry Book Award winner from the Academy of Management Named among Poets & Quants' Best 40 Business School Professors Under 40 (2023) Thinkers50 Radar listing for influential management thinking Multiple Academy of Management best paper awards across divisions Microsoft Research AI and Society Fellowship International Labour and Employment Relations Association prizes His research program includes substantial grant funding from the NSF CAREER award, while his academic service encompasses editorial board membership at Administrative Science Quarterly and review work for top management journals. As an educator, he develops innovative courses like "Artificial Intelligence and the Future of Work" that prepare MBA students for technology-driven organizational transformation, emphasizing practical integration of AI systems while addressing ethical implications for workers and organizations.

Danny McGowanView profile

Professor

• Finance
• Financial Intermediation
• Banking
• +10 more

Danny McGowan is Professor of Finance and Head of the Department of Finance at Birmingham Business School, University of Birmingham . He holds a PhD in Economics from the University of Nottingham and has a strong academic background in economics and finance. Education: PhD in Economics, University of Nottingham, 2010 MSc in Economics, University of Bristol, 2007 BSc in Economics, University of Bristol, 2003 His research centers on applied microeconomics with a focus on financial intermediation, banking, mortgage markets, and household finance . He frequently employs quasi-experimental methods to study the impact of regulation, competition, and institutional frameworks on financial institutions and markets. His recent work explores the societal determinants of wealth inequality, lending, and entrepreneurship, as well as the effects of deposit market competition and mortgage default. His publication record is impressive, with articles in leading journals such as the Review of Financial Studies , Journal of Financial and Quantitative Analysis , and Journal of Financial Intermediation . The recent articles show a consistent trend in analyzing bank conduct, risk management, regulation, and the real effects of financial markets , often using natural experiments and policy changes as identification strategies. Research Funding and Recognition: Principal Investigator on a ~£400,000 Leverhulme Research Project Grant Over £500,000 in research funding from ESRC, British Academy, and Leverhulme Trust Research cited in House of Commons inquiries and by media outlets Advising and Grants: He has successfully advised four PhD students to completion, all of whom have secured academic positions. His research is supported by major grants from UK research councils, demonstrating the significance and impact of his work in the field of finance. Professional Engagement: He is an active member of leading professional associations including the American Finance Association, American Economic Association, European Finance Association, and Royal Economic Society, and regularly presents his work at international conferences.

Spyros ReveliotisView profile

Professor

• Discrete Event Systems
• Multi-Agent Systems
• Automated Workflow Control
• +5 more

Spyros Reveliotis is a Professor at the Stewart School of Industrial & Systems Engineering within the College of Engineering at Georgia Institute of Technology. His work bridges theoretical advancements with practical applications in automation and control systems. Education : PhD in Industrial Engineering (University of Illinois at Urbana-Champaign), B.Sc. in Electrical Engineering (National Technical University of Athens), M.Sc. in Computer Systems Engineering (Northeastern University) Reveliotis focuses on discrete event systems theory , emphasizing control of flexible automation and traffic management for multi-agent systems. His research integrates machine learning and Markov decision processes to optimize scheduling and coordination in complex environments like robotics and manufacturing systems. Recent trends in his publications address deadlock avoidance , min-time coverage in constrained spaces, and liveness enforcement for transport systems. These works often leverage combinatorial optimization and graph theory for scalable solutions. Scientific Awards : IEEE Fellow As a core faculty member of the Institute for Robotics and Intelligent Machines (IRI) , Reveliotis contributes to interdisciplinary robotics research. His affiliations with professional societies like INFORMS reflect his impact on operations research and automation fields.

Rui ZhongView profile

Senior Lecturer

• Sustainable Finance
• ESG
• Energy Finance
• +5 more

Dr. Rui Zhong is a Senior Lecturer in Finance and Master of Applied Finance Program Coordinator at the UWA Business School, University of Western Australia. He holds a Ph.D. in Finance from Concordia University and is a CFA and FRM charterholder. His academic roles include serving as Principle Contacts for the University’s affiliated programs with CFA Institute and GARP. Dr. Zhong’s education includes a Ph.D. in Finance (2008–2013, Concordia University), Master in Financial Risk Management (2005–2006, Simon Fraser University), and Bachelor of Economics (2001–2005, Nankai University). He previously served as Associate Professor and Assistant Professor at Central University of Finance and Economics and was a Scholar-in-Residence at Concordia University. His research focuses on sustainable finance, ESG integration, energy finance, credit derivatives, and financial risk management. Notable contributions include the 2024 Financial Times-recognized study on mandatory ESG disclosure and SEC policy influence, and the 2021 GRASFI Best Paper Award-winning work on sustainable finance. He has presented globally at institutions like the UNDP, Bank of Canada, and AFA Annual Meetings. Research funding includes grants from the National Natural Science Foundation of China, Climateworks Foundation, and Canadian Derivative Institute. Awards include the UWA Business School Mid-Career Research Award (2024) and AFAANZ Best Paper Award (2019). Dr. Zhong leads collaborative projects on climate policy engagement, green finance impacts, and sustainable development goals. His work bridges academia and industry, emphasizing policy implications and global financial market dynamics.

Elena EspositoView profile

Professor

• Communication theory
• Systems theory
• Digital communication
• +5 more

Elena Esposito is a Full Professor at the Department of Political and Social Sciences, University of Bologna, and at the Faculty of Sociology, University of Bielefeld. She holds the scientific-disciplinary sector GSPS-06/A (Sociology of cultural and communicative processes). Her work bridges systems theory, digital communication, and algorithmic futures, with a focus on artificial intelligence, prediction mechanisms, and media sociology. She has received prestigious fellowships from institutions like the ERC, Wissenschaftskolleg Berlin, and Columbia University. PhD in Sociology (1990, University of Bielefeld) Habilitation (2001, University of Bielefeld) National Scientific Qualification (2013, Italy) Degree in Philosophy (1987, University of Bologna, summa cum laude) Degree in Sociology (1983, University of Bologna, summa cum laude) Esposito's research spans algorithmic prediction, artificial communication, digital media, and systems theory. Her work examines how algorithms shape social intelligence in insurance, medicine, and policing, the paradoxes of contingency in financial markets, and the societal implications of virtuality. She connects Niklas Luhmann's theoretical frameworks to contemporary issues like AI ethics and pandemic-era social systems. Her recent publications emphasize AI's role in constructing unpredictable futures, the social management of algorithmic opacity, and the transformation of risk perception in digital societies. She has authored 13 books and over 100 peer-reviewed articles, exploring topics from media memory to financial forecasting. ERC Advanced Grant (2018): €2.08M for algorithmic prediction studies Volkswagen Foundation Grant (€1.5M) for U3B project Leverhulme Trust funding for international network on value performances Esposito serves on editorial and advisory boards for journals like Sociologica and organizations including the Weizenbaum Institute. She directs the FAIR project on AI implications and co-leads initiatives like DEMOPE (Democracy under Pressure) and CRC 1567 on Virtual Worlds.

Xavier VivesView profile

Professor

• Banking and financial economics
• Games of strategic complementarities
• Industrial organization and regulation
• +2 more

Xavier Vives is a Professor of Economics and Finance at IESE Business School (University of Navarra) since 2006. He serves as Academic Director of the Banking Initiative and Public-Private Sector Research Center , and Director of the Abertis Chair of Regulation, Competition and Public Policy . His research focuses on banking economics , industrial organization , market microstructure , and competition policy . 2023: President of European Finance Association 2020: Premio Nacional de Investigación 'Pascual Madoz' 2006-2009: Vice President of Spanish Energy Economics Association His recent work examines financial technology , market opacity , and strategic complementarities through game-theoretic models. He emphasizes the need for coordinated regulation and competition policy in banking, with a focus on liquidity dynamics and stability . Current publications analyze AI applications in finance , post-crisis banking models , and market fragility through high-frequency trading. Scientific accolades include: 2023: Fellow of Finance Theory Group 2020: Luohan Academy Fellow 2018-2023: European Research Council Advanced Grant 2002: Narcís Monturiol Medal 1992: Fellow of Econometric Society He contributes to policy through memberships in the European Systemic Risk Board (2023-), Technical Scientific Committee (Spanish Government, 2023-), and advisory roles for CNMA (2024-). His Public-Private Sector Research Center work addresses regional policy challenges in Barcelona's metropolitan area.

Radha IvoryView profile

Associate Professor

• Transnational Anticorruption Law
• Corporate Crime
• Human Rights Law
• +5 more

Associate Professor Radha Ivory is an Associate Professor in Law at the University of Queensland (UQ), affiliated with the Faculty of Business, Economics and Law and the School of Law. She specializes in transnational regulation of corruption, corporate crime, and human rights. Her interdisciplinary research examines domestic and international laws governing powerful economic and political actors, focusing on unintended consequences of anti-corruption measures and asset recovery laws. Key roles include advising the World Bank and UN, and contributing to projects in Ukraine and Colombia. Education: Bachelor of Arts (International Relations & German), UQ Bachelor of Laws (Honours I), UQ PhD (summa cum laude), University of Basel Research Interests: Radha’s work bridges transnational criminal law, human rights, and global governance. Current projects address human rights impacts of asset recovery laws, corporate liability reforms, and the securitization of integrity regulations. Her approach integrates legal, socio-legal, economic, and sociopolitical methodologies. Articles Trends: Her recent publications analyze negotiated settlements in foreign bribery cases, asset recovery mechanisms, corporate liability frameworks, and transnational legal ordering. These contributions highlight tensions between anti-corruption efforts and human rights protections, emphasizing interdisciplinary policy solutions. Awards: Her book Corruption, Asset Recovery, and the Protection of Property in Public International Law (Cambridge UP) was launched by former Australian Treasurer Peter Costello. Grants: Received UQ Early Career Researcher grant (2017) for studying compliance in anti-bribery law. Advisory Roles: Advisory Board member for the Bribery Prevention Network (Australia), and consultant to the World Bank and UN Office of the High Commissioner for Human Rights. Previously held roles at the Basel Institute on Governance and the NGO Building Safer Organisations. Labs/Teams: Collaborates with the Centre of Research Excellence on Achieving the Tobacco Endgame and contributes to transnational research networks including the Basel Institute’s ICAR.

Laurie RickerView profile

Professor

• Discrete-Event Systems
• Formal Methods
• Decentralized Control
• +3 more

Dr. Laurie Ricker is Professor and Computer Science Program Advisor in the Department of Mathematics and Computer Science at Mount Allison University. Her research specializes in formal methods for discrete-event systems, focusing on decentralized control, communication protocols, and security properties like opacity enforcement. Her work develops theoretical frameworks for distributed supervisory control, addressing challenges in observability, communication delays, and coordination of decentralized agents. Recent publications advance verification algorithms for inferencing in supervisory control, mutual opacity in multi-adversary scenarios, and synthesis of communication protocols for pseudo-synchronous systems. Key contributions include development of parity-based architectures for decentralized control, methods for opacity enforcement under powerful attackers, and robustness analysis of communication protocols with bounded delays. Dr. Ricker's work bridges theoretical foundations with practical applications in distributed systems security and control.

Yuheng BuView profile

Assistant Professor

• Machine Learning
• Information Theory
• Signal Processing
• +5 more

Dr. Yuheng Bu is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of Florida, part of the Herbert Wertheim College of Engineering. His research focuses on machine learning, information theory, and signal processing, with applications in fair/trustworthy ML, uncertainty quantification, and anomaly detection. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (2019), an MS from the same institution (2016), and a B.E. from Tsinghua University (2014). Research interests include developing robust watermarking techniques for large language models, ensuring algorithmic fairness, and advancing theoretical foundations of learning algorithms via information-theoretic methods. His work bridges theory and practice, addressing challenges in model security, interpretability, and generalization. Key honors include the Yi-Min Wang and Pi-Yu Chung Research Award (2019). His publications emphasize security-aware ML, uncertainty quantification, and information-theoretic analysis of learning algorithms. While no advising or grants are listed, his lab likely focuses on interdisciplinary projects at the intersection of ECE and computer science.

Augustine DuruView profile

Professor

• Corporate Governance
• Firm Valuation
• Management Accounting
• +7 more

Augustine Duru is a Professor of Accounting at the Kogod School of Business, American University. He specializes in management accounting, corporate governance, and firm valuation. His research explores how accounting information influences organizational decision-making and value creation. Duru has been recognized for exceptional teaching with multiple awards, including the Kogod Faculty Award for Outstanding Teaching (2010–2024) and the American University Professor of the Year (2001). Educations: B.S. (Honors), University of Nigeria; M.B.A., University of North Carolina at Charlotte; Ph.D., University of Maryland, College Park. Certifications: CPA, CMA, CGMA. His research interests include performance evaluation, executive compensation, transparency in R&D investments, and governance structures. Notable works examine the interplay between accounting information, corporate governance mechanisms, and strategic asset management. Duru serves on editorial boards for Journal of Accounting and Public Policy and Journal of International Accounting, Auditing and Taxation . Recent publications span topics such as venture governance, activist shareholder dynamics, and terrorism impacts on management forecasts. His work consistently bridges theoretical frameworks with practical implications for organizations. Awards: Over a decade of teaching excellence awards underscore his dedication to pedagogy. Research awards include Kogod Achievement Awards for Outstanding Research (2000–2022). With experience as an auditor and management consultant, Duru integrates industry insights into academic contributions. His research portfolio reflects a commitment to advancing transparency, accountability, and strategic decision-making in dynamic business environments.

Karen RudieView profile

Professor

• Discrete-event systems
• Supervisory control
• Security and secrecy
• +3 more

**Karen Rudie** is a Professor and Interim Director in the Department of Electrical and Computer Engineering at Queen's University, Canada. She holds a cross-appointment to the School of Computing and is affiliated with the Ingenuity Labs Research Institute. Her expertise lies in supervisory control of discrete-event systems, security, and secrecy protocols. Rudie earned her Ph.D. from the University of Toronto and has held visiting roles at the University of Michigan. She leads the Queen’s Discrete-Event Systems Lab (QDES), focusing on theoretical and applied research in control systems. **Education**: Ph.D. in Systems Control (University of Toronto, 1992), Postdoctoral Researcher at the Institute for Mathematics and Its Applications (1992-1993). **Research Interests**: Discrete-event systems, supervisory control theory, security mechanisms, and applications to industrial automation. Her work bridges theoretical foundations with practical implementations in manufacturing, healthcare, and cybersecurity. **Awards**: IEEE Fellow (2018), multiple Queen's Golden Apple Teaching Awards, and recognition as a 'Popular Prof' in Maclean's (2001-2005). She is a registered Professional Engineer in Ontario. **Grants & Leadership**: Editor of the Journal of Discrete Event Dynamic Systems, former IEEE Control Systems Society Board member, and frequent conference committee member (CDC, ACC, WODES). Her lab develops tools like IDES for discrete-event system modeling. **Lab & Teams**: Directs the QDES Lab, advancing methodologies for system control and security. Her group collaborates on projects like decentralized control architectures and cyber-physical system resilience.

Jonathan HafetzView profile

Professor

• Constitutional Law
• National Security Law
• Human Rights Law
• +5 more

Professor Jonathan Hafetz is a constitutional and human rights law expert at Seton Hall Law School. He has held visiting roles at Princeton University, Rikkyo University (Tokyo), and consults for international bodies like the ICC and Open Society Foundations. Education: J.D. from Yale Law School, M.Phil in Modern History from Oxford University, B.A. from Amherst College His research focuses on constitutional rights in national security contexts, international criminal law, and transnational human rights litigation. He has written extensively on Guantanamo detention, military commissions, and pandemic governance. Recent scholarship explores digital technologies in international humanitarian law, immigration crisis governance, and narrative's role in Ukraine war crimes prosecution. His work appears in journals like Yale Law Journal and Cambridge International Law Journal . Scientific Awards: American Bar Association Silver Gavel Award (2011) Scribes Silver Medal Award (2011) Fulbright Scholar (2021-2022, 1995) Princeton University LPA Fellowship (2014) American Bar Foundation Fellow (2023) Hafetz litigated landmark cases challenging arbitrary detention and torture at the ACLU and Brennan Center for Justice. He has authored over 30 amicus briefs for U.S. Supreme Court and created the Law on Film podcast examining legal themes in cinema.

Ida VarosanecView profile

Assistant Professor

• Technology Law
• Artificial Intelligence Regulation
• Transparency in AI
• +4 more

Ida Varosanec is an Assistant Professor in Technology Law at the University of Groningen's Faculty of Law, specializing in AI regulation, transparency, and public administration. She holds a PhD from the University of Groningen (2024) and focuses on balancing transparency and secrecy in AI systems within EU frameworks. Her research addresses legal challenges in AI governance, including trade secrets, intellectual property, and public accountability. She contributes to projects like the JuLIA initiative on AI and fundamental rights, the Sectorplan project on AI transparency, and the STeP research group on technology privacy. Teaching includes 'Introduction to Technology Law' and 'Research Seminar' courses. Her work emphasizes interdisciplinary approaches to AI ethics, liability frameworks, and regulatory harmonization across European law.