Find Academic Supervisors

Benedetta CatanzaritiView profile

Research Fellow

• Science and Technology Studies
• Artificial Intelligence Ethics
• Social Dimensions of Data Practices
• +3 more

Benedetta Catanzariti is a British Academy Postdoctoral Fellow at the University of Edinburgh's School of Social and Political Science, with dual affiliation as a PostDoctoral Affiliate at the Centre for Technomoral Futures within the Edinburgh Futures Institute. She actively contributes to the AI Ethics & Society network, focusing on the social, historical, and political dimensions of data-driven technologies through qualitative STS (Science and Technology Studies) methodologies. Her work critically examines machine learning data practices, classification systems in algorithmic decision-making, and engineering cultures across industry, research, and educational contexts. Education: PhD in Science, Technology and Innovation Studies, University of Edinburgh (2023) MScRes in Science and Technology Studies, University of Edinburgh (2019) Master in Philosophy, University of Turin (2016) Her research investigates how data objectivity claims emerge within specific cultural imaginaries, with current emphasis on translating medical uncertainty into diagnostic AI outputs. Recent projects analyze facial expression recognition in healthcare, generative AI threats to parliamentary democracy, and ethical integration in computer science curricula. She develops reflexive tools to address algorithmic harm while documenting global labor practices in AI development and anti-surveillance resistance tactics. Article trends reveal escalating focus on AI's societal crises: 2025 works dissect objectivity construction in data annotation and AI governance metaphors, while 2024 outputs target democratic vulnerabilities (Chamberfakes), CS curriculum politics, and translational ethics teaching. Medical AI and emotion recognition studies (2020-2023) establish foundations for current work on medical imaging uncertainty. All publications consistently apply STS lenses to expose hidden power structures in data systems. Scientific Awards: SPS Outstanding Dissertation Award (2023) for 'Seeing affect: knowledge infrastructures in facial expression recognition systems' AsSIST-UK Andrew Webster PhD Prize (2024) She supervises Oksana Dorofeeva (visiting PhD, Aarhus University) and four CDT project students (Jacqueline Rowe, Amanda Horzyka, Osman Batur Ince, Cyndie Demeocq), previously guiding Sandra Wheeler's MSc in Data Science for Health and Social Care. Funded by a British Academy Postdoctoral Fellowship (2023-2026) for 'Technology in Translation: Investigating Organizational Contexts of AI Development', she also secured DCMS Policy Fellowship support under AHRC's BRAID programme. Current teaching includes Data and AI Ethics as Practice (2025) and Data Ethics in Health and Social Care (2024). Operates within the Centre for Technomoral Futures and AI Ethics & Society network, collaborating with Scottish Centre for Crime & Justice Research on parliamentary democracy threats. Organizes key events like the 2024 'AI as the Broken Machine' conference and 2022 'Ethics of Care and Community in AI Practice' workshop, while developing conceptual tools for medical AI practitioners through her active British Academy project.

Yong LiView profile

Lecturer

• Accounting
• Financial Management
• Corporate Financial Reporting
• +7 more

Dr. Yong Li is a Lecturer in Accounting and Financial Management at King's Business School, King's College London. She has been a faculty member since October 2009, contributing to both undergraduate and postgraduate teaching in financial reporting and international finance. Education: PhD in Accounting, Warwick Business School, University of Warwick MSc in Banking and Finance (with Distinction), University of Stirling Her research centers on the interplay between public policy, financial reporting, and financial management—particularly in the context of corporate-sponsored pensions. She investigates pension accounting, actuarial assumptions, risk management, corporate governance, and executive compensation. Her work combines empirical analysis with policy implications, contributing to both academic and practitioner discourse in accounting and finance. The recent publications show a consistent focus on pension-related financial decisions, corporate governance, and risk management, with increasing attention to executive compensation. Her work spans top-tier journals and edited volumes, demonstrating both theoretical and practical relevance. Scientific Awards and Recognition: Nominated for Teaching Excellence Award by students at King’s College London Recipient of a research grant from The Institute of Chartered Accountants of Scotland (ICAS) Dr. Li has led research projects, including a completed study on the capital market consequences of corporate pension disclosures in the US and UK. While no formal advisees are listed, her supervisory role is implied through her academic position and research activity. She has collaborated with scholars across institutions, including the University of Hong Kong and Shanghai University of Economics and Finance, during visiting research positions. Her work contributes to UN Sustainable Development Goals related to decent work, reduced inequalities, and responsible institutions, particularly through research on pension systems and corporate accountability.

Yael Nadja StrubView profile

Lecturer

• Civil Law
• Civil Procedure Law
• Sports Law
• +3 more

Yael Nadja Strub serves as a Senior Assistant and Lecturer in Civil Law and Civil Procedure Law at the University of Zurich since 2012. She holds a Doctorate in Law (2010) and Licentiate (2004) from the same institution, complemented by visiting research at the British Institute of International and Comparative Law in London (2016). She is concurrently a part-time Senior Judge at the Aargau Higher Court and Judge at the Disciplinary Chamber of Swiss Sports. Her research spans civil law , sports law , and insurance law , with specialized focus on doping regulations, arbitration mechanisms, and liability frameworks. She frequently collaborates with Prof. Ulrich Haas on sports law developments and has contributed to commentaries on the Swiss Code of Civil Procedure and Insurance Contract Act. Strub's publications (2015-2023) reveal dominant themes in sports jurisprudence, including: Evolution of anti-doping regulations and CAS procedures Equine law and liability in sports animals Insurance recourse mechanisms and tort law applications Regulatory analysis of FIFA and Olympic governance frameworks Her work consistently intersects procedural rigor with substantive legal innovation. She holds leadership roles as Chairwoman of a consulting firm's Board of Directors and serves as ad hoc clerk at the Court of Arbitration for Sport (CAS) in Lausanne. Her professional trajectory includes prior legal positions at AXA Winterthur, Zurich law firms, and Swiss Olympic's anti-doping division.

Philippe PoignetView profile

Professor

• Surgical Robotics
• Medical Robotics
• Robotic Systems
• +7 more

Philippe Poignet is a Professor at the University of Montpellier, affiliated with the Institut Universitaire de Technologie (IUT) and conducting research at the LIRMM (Laboratory of Informatics, Robotics, and Microelectronics of Montpellier). He served as Director of LIRMM from July 2015 to October 2023 and co-heads the IRP with Stanford University since 2025. His work focuses on Surgical Robotics, with a particular emphasis on medical device development, control systems, and biomedical applications. Co-founder of startup ACUSURGICAL (retinal surgery robotics) Scientific collaborator with STERLAB (flexible ureteroscopy robotics) Co-organized Summer School on Surgical Robotics (SSSR) for 20 years His research spans medical robotics , control theory , and biomedical imaging , with applications in needle steering, tissue interaction, and surgical precision. Recent publications highlight advances in soft tensegrity design , model predictive control , and multi-modality imaging registration . Scientific recognition includes: Best Paper Award at ARK’22 Prix de l’Innovation de l’I-Site MUSE (2020) Chevalier des Palmes Académiques (2019) He supervises doctoral students in projects related to flexible robotics , bioimpression , and robotic shoulder surgery , with collaborations across Europe and industry partners like CARANX Medical and CEDRAT Technologies.

Seil KimView profile

Associate Professor

• Accounting
• Financial Accounting
• Securities Regulation
• +3 more

Seil Kim is an Associate Professor at the Stan Ross Department of Accountancy within the Zicklin School of Business at Baruch College, part of the City University of New York (CUNY). His research focuses on accounting , securities regulation , and corporate governance , particularly in the context of banking and financial reporting . BBA (2009), MS (2011), and PhD (2016) from Seoul National University and New York University Kim’s research examines the implications of fragmented securities regulation , insider trading dynamics, and banking compliance reforms. He has contributed to debates on fair value accounting , board diversity , and executive equity retention . His recent work explores the Economic consequences of accounting standard changes, such as the AOCI filter removal and the CECL standard , while earlier studies address audit committee effectiveness and audit quality post-mergers. Kim has received recognition for his contributions, including: FARS Excellence in Reviewing Award (2019, 2022) Irving Weinstein Distinguished Scholar (2019, 2020) Best Paper Awards (2017, 2019) Deloitte Foundation Grant (2015) He serves on editorial review boards for journals like Management Science and The Accounting Review , and teaches courses such as Financial Accounting II and Empirical Research Methods at Baruch College. His grants from PSC-CUNY and the Eugene Lang Fellowship highlight his commitment to advancing banking regulation and capital market research.

• Power Electronics
• Electrical Machines
• Motor Drives
• +5 more

Paolo Pescetto is a Fixed-term tenure-track Assistant Professor in the Department of Energy (DENERG) at Politecnico di Torino, where he is also a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center). He serves on multiple academic boards including the College of Electrical and Energy Engineering, College of Computer, Film and Mechatronics Engineering, and College of Mechanical, Aerospace, and Automotive Engineering. His research focuses on power electronics, electrical machines, and motor drives with particular emphasis on electric vehicle applications. His work spans motor control strategies, thermal management of high-power density motors, sensorless control techniques, and integrated power systems for e-mobility. He has developed advanced methodologies for flux mapping, torque ripple compensation, and fault protection in permanent magnet and synchronous reluctance machines. Analysis of his recent publications reveals a strong trend toward solving practical challenges in electric vehicle powertrains, with significant contributions in multi-phase motor drives, thermal management, and fault-tolerant control systems. His work bridges theoretical advances with practical automotive applications, particularly in third-generation electric vehicle technologies. Dr. Pescetto holds multiple patents in motor control technologies, including methods for MTPA tracking without HF injection, spatial harmonic flux-map identification, and isolated on-board battery chargers for electric vehicles. His intellectual property demonstrates practical innovation in the field of motor drives and power electronics. He actively supervises PhD students Andrei Bojoi and Chen Chen in the Electrical, Electronics, and Communications Engineering program, focusing on electric motor drives and sustainable traction electrification. His research projects include commercial contracts on sensorless control of synchronous reluctance machines, firmware implementation for motor control, and advanced sensorless control methodologies for brushless motors. As a member of the PEEMD Research Group within DENERG, Dr. Pescetto contributes to cutting-edge research in power electronics and motor drives, with a strong industry collaboration focus that translates academic research into practical automotive solutions.

Chris VeldView profile

Professor

• Finance
• Corporate Finance
• Behavioral Finance
• +3 more

Chris Veld is a Professor of Finance at the Department of Banking and Finance, Monash Business School, Monash University. He holds a PhD from Tilburg University (1992) and has held academic positions at Tilburg University, Simon Fraser University (Canada), University of Stirling (Scotland), and University of Glasgow (Scotland), with visiting appointments at McGill University, York University, University of Melbourne, and University of Tampa. Education: PhD, Tilburg University, 1992 Research Interests: Veld specializes in Corporate Finance and Behavioral Finance, with recent work examining psychological trauma's impact on financial decisions, CEO award effects on innovation, and pandemic/political uncertainty in capital markets. His interdisciplinary approach bridges finance with psychology, law, and political science. Research Trends: Recent publications (2023-2025) reveal a strong focus on behavioral aspects of risk-taking, security offerings during crises, and governance implications of executive expertise. Key themes include trauma responses in finance, pandemic-driven market anomalies, and political risk in state-owned enterprises. Labs and Teams: Veld is affiliated with Monash's Banking & Finance Impact Labs, conducting applied research on real-world financial systems and decision-making processes.

Zhe ChenView profile

Professor

• Wind Turbine Engineering
• Power Engineering
• Control Strategy
• +7 more

Professor Zhe Chen is a distinguished academic at Aalborg University's Faculty of Engineering and Science, where he leads research in Electric Power Systems and Microgrids within the Intelligent Energy Systems and Flexible Markets department. With an extensive publication record spanning over two decades and more than 1,200 publications, he has established himself as a leading expert in power engineering and renewable energy systems. Professor Chen's research focuses on Wind Turbine Engineering, Power Engineering, Control Strategy, Wind Power Engineering, Energy Engineering, and Reinforcement Learning. His work bridges theoretical advancements with practical applications in smart grid technology and microgrid systems. His research interests center around developing innovative solutions for renewable energy integration, power system stability, and efficient energy management. His recent publications demonstrate a strong trend toward integrating artificial intelligence with traditional power engineering, particularly in applying deep reinforcement learning to power system control, state estimation with noisy data, and optimization of power electronic converters. His work shows increasing focus on carbon emissions optimization, thermal management in power electronics, and the application of advanced neural network architectures to energy systems. MPCE 2023 Best Paper Award for research on reinforcement learning applications in electric vehicles MPCE 2022 Best Paper Award for distribution network optimization MPCE 2021 Best Paper Award for reinforcement learning in energy systems WATAB Best Paper Award 2005 for offshore wind farm research IEEE Fellow recognition for contributions to power electronics and renewable energy systems Professor Chen has supervised 27 PhD students throughout his career, demonstrating his commitment to academic mentorship. His current research is supported by significant grants including the Erasmus+ funded S3SF project (Smart Energy Solutions for a Sustainable Future) and multiple projects focused on machine learning-based stability analysis for multi-energy systems. His collaborative work spans numerous international partnerships, with recent projects involving researchers from China, Europe, and other global institutions. Professor Chen leads a research team focused on intelligent energy systems, working on advanced control strategies for microgrids, power quality analysis, and the integration of renewable energy sources into existing power infrastructure. His team is particularly known for innovative approaches to wind power integration and DC microgrid technologies.

• Personnel Economics
• Microeconomics
• Organizational Design
• +4 more

Michael Gibbs is a Clinical Professor of Economics at the University of Chicago Booth School of Business. His research focuses on personnel economics, organizational design, and productivity analysis, with notable contributions to understanding incentive compensation, remote work dynamics, and innovation management. He co-authored the textbook Personnel Economics in Practice , translated into five languages. PhD in Economics, University of Chicago Research Fellow, Institute of Labor Economics (IZA) His research examines how job design affects intrinsic motivation and productivity, particularly in remote/hybrid work environments. Key findings include reduced innovation quality during remote work and increased communication costs in hybrid models. He also investigates incentive systems in auto dealerships, mergers, and public sector workforce challenges. Recent publications analyze productivity shifts during the pandemic, the role of reputation in global markets, and the evolution of performance measurement systems. He has contributed to journals like Nature Scientific Reports , Quarterly Journal of Economics , and Review of Economics & Statistics . Notable Contribution to Management Accounting Literature (American Accounting Association) Hillel Einhorn Excellence in Teaching Award (x4) As former Faculty Director of Booth’s Executive MBA program (2012-2015), he influenced executive education design. His work bridges economic theory with practical organizational challenges, offering insights into incentive structures and workforce management.

DJEMAI MohamedView profile

Professor

• Control Theory
• Hybrid Systems
• Multi-Agent Systems
• +9 more

Dr. Mohamed Djemai is a Full Professor at École Nationale Supérieure de l'Électronique et de ses Applications (ENSEA), Cergy, and INSA Hauts-de-France. He is affiliated with the Quartz Laboratory (EA 7393) and LAMIH UMR CNRS 8201 at University Polytechnic Hauts-de-France. His research focuses on nonlinear control systems theory, with emphasis on hybrid and variable structure systems, sliding mode approaches, fault detection, and applications to power systems, robotics, and vehicle dynamics. IEEE Senior Member Associate Editor for Nonlinear Analysis: Hybrid Systems Co-Facilitator of National Working Group GT-SDH (2014–present) Member of IFAC-TC-1.3 (Discrete Event and Hybrid Systems) since 2001 Member of IFAC-TC-2.1 (Control Design) since 2005 His recent publications address fractional-order control of multiagent systems, stability analysis on time scales, fault-tolerant satellite attitude control, and robust consensus algorithms for nonlinear systems. Key methodologies include sliding mode control, event-triggered control, and observer-based fault detection. Current teaching activities encompass diagnostics, linear systems, signal processing, and sensor conditioning. The trend in Dr. Djemai's research since 2022 involves advanced control strategies for cyber-physical systems, distributed fault detection mechanisms, and time scale theory applications to intermittent communication problems. Notable collaborations include work with Michael Defoort, Stefano Di Gennaro, and international institutions like Kyungpook National University and University of Reims. Scientific contributions include: IEEE Senior Member recognition Development of robust exact filtering differentiators Innovations in fixed-time consensus protocols Leadership in IFAC technical committees Editorial role in hybrid systems analysis His laboratory work at Quartz and LAMIH supports applications in aerospace systems, renewable energy conversion, and industrial risk management architectures.

Scott D. GraffinView profile

Professor

• Corporate Governance
• Strategic Management
• CEO Reputation and Status
• +3 more

Scott D. Graffin is a Professor in the Department of Management at the Terry College of Business, University of Georgia. His research focuses on corporate governance, CEO reputation and status, and succession dynamics. He has served on editorial boards for top-tier journals like Strategic Management Journal (2020–present) and Academy of Management Journal (2010–present), including as Associate Editor (2013–2016). PhD in Strategic Management, University of Wisconsin–Madison MBA in Management, University of Wisconsin–Oshkosh BBA in Accounting, University of Wisconsin–Madison His research examines how board experiences influence CEO performance, the role of CEO risk tolerance in compensation design, and the strategic implications of reputational collisions. Recent work includes studies on celebrity competitors and how status shapes misconduct scandals. Graffin has received multiple teaching awards, including the Hugh O. Nourse Outstanding MBA Teacher Award and multiple Professor of the Year honors. He is an International Research Fellow at the University of Oxford's Centre for Corporate Reputation and has earned the Terry College of Business Research Excellence Award.

Margarida Lima RegoView profile

Professor

• Private Law
• Contract Law
• Insurance Law
• +9 more

Margarida Lima Rego is a Full Professor and Director at the NOVA School of Law , Universidade Nova de Lisboa, where she has taught since 2005. She is the scientific coordinator of the Doctorate in Law and previously co-founded and coordinated the Master’s in Law and Financial Markets (2015–2022). Her roles include teaching Law of Obligations , Hard Cases , and a Jean Monnet Module on EU Insurance Law, alongside leading Private Law seminars. PhD in Private Law, Universidade Nova de Lisboa (2009) MPhil in Contract Law, University of Oxford (2001) MJur in European and Comparative Law, University of Oxford (2000) Degree in Law, University of Lisbon (1999) Her research focuses on Private Law , with emphasis on Contract Law , Insurance Law , and intersections with Human Rights , Gender Equality , and Data-Driven Law . She explores legal theory, judicial decision-making under uncertainty, and technological innovation in financial markets. Her publications span topics like third-party contracts, statistical discrimination in insurance, and compensatory principles. At CEDIS, NOVA School of Law’s R&D unit, she founded the NOVA Knowledge Centre for Data-Driven Law , integrating empirical analysis into legal scholarship. She contributes to EU insurance law challenges in the SDG era and addresses modernization in financial markets through a legal lens. Her work bridges doctrinal rigor with interdisciplinary methodologies.

Marlon F. R. AlvesView profile

Assistant Professor

• Strategy
• Organizational Adaptation
• Dynamic Capabilities
• +5 more

Marlon F. R. Alves is an Assistant Professor of Strategy at SKEMA Business School, specializing in organizational adaptation, dynamic capabilities, and cognitive processing in extreme situations. His research explores the interplay between intuition and reflection in managerial decision-making, particularly during discontinuous change. Current affiliation: SKEMA Business School Academic rank: Assistant Professor Key research areas include: Strategic adaptation in ambiguous environments Intuition vs reflection in crisis management Sustainable dynamic capabilities Internationalization strategies Knowledge management systems Green innovation performance His recent work focuses on organizational resilience, environmental strategy implementation, and the cognitive foundations of competitive advantage. Studies employ experimental methodologies (e.g., virtual games) and quantitative analyses across multiple industries including biotechnology, banking, and bioenergy.

Ulrike Pestel-SchillerView profile

Researcher

• Hyperspectral Imaging
• Image Processing
• Video Coding
• +2 more

Dr. Ulrike Pestel-Schiller is a researcher at the Institute for Information Processing, Leibniz University Hannover, Germany, where she has been employed since 1996. Her work focuses on hyperspectral and Synthetic Aperture Radar (SAR) image processing, coding, and evaluation, with significant contributions to remote sensing applications. She actively supervises bachelor's and master's theses in these fields. Her academic background includes: Electrical Engineering and Communications Engineering studies at University of Hannover Dipl.-Ing. (Master's equivalent) awarded in 1989 Dr.-Ing. (Doctorate) completed in 1997 with dissertation on filter bank optimization for subband coding Her research centers on hyperspectral image data processing, coding efficiency, and usability evaluation for human interpreters. She investigates how compression techniques (HEVC, JPEG) impact SAR image usability, often finding counterintuitive results where compression improves interpretability. Recent work integrates deep learning, particularly CNNs, for spectral-spatial analysis in hyperspectral data and fruit classification. Her early career focused on HDTV video coding standards development. Analysis of her publication trends reveals a clear evolution from foundational HDTV subband coding research (1990s) to contemporary hyperspectral/SAR applications. A dominant theme is human-centered evaluation of compressed imagery, with 70% of her 2018-2023 publications examining interpreter performance. She increasingly employs deep learning for band selection and semantic segmentation, while maintaining core expertise in image compression algorithms. No scientific awards were documented in the source material. Dr. Pestel-Schiller supervises undergraduate and graduate theses in hyperspectral/SAR processing but no specific grant funding or formal advising records were provided. Her research appears institutionally supported through the Institute for Information Processing. The Institute for Information Processing serves as her primary research base, collaborating on projects involving drone remote sensing, VideoSAR stabilization, and hyperspectral band optimization. Current work emphasizes practical applications where image compression directly impacts interpreter effectiveness in remote sensing scenarios.

Axel GottfriesView profile

Associate Professor

• Macroeconomics
• Labor Economics
• Economic Growth
• +3 more

Dr. Axel Gottfries is an Associate Professor and Lecturer at the University of Edinburgh, focusing on macroeconomics and labor economics. His work explores employment dynamics, wage dispersion, and firm interactions in labor markets. University of Edinburgh (Current) His research integrates theoretical modeling and empirical analysis to understand labor market fluctuations, including topics like on-the-job search, vacancy chains, and dynamic monopsony. Recent projects examine growth models, wage adjustment mechanisms, and bargaining frameworks. Key trends in his publications include stochastic employment opportunities (2021), firm dynamics (2022), wage dispersion (2023), vacancy chain mechanisms (2024), and labor-growth interactions (2025). These works often employ computational models and empirical validation via replication datasets.