Find Academic Supervisors

• Risk Management
• Risk Analysis
• Uncertainty Quantification
• +12 more

Roger Flage is a Professor of Risk Management at the University of Stavanger, affiliated with the Faculty of Science and Technology and the Department of Security, Economics and Planning. His research focuses on foundational and applied aspects of risk analysis, uncertainty quantification, and decision-making under uncertainty, with applications in critical infrastructure, environmental systems, and offshore energy. Roger Flage's research interests lie at the intersection of risk science, safety engineering, and decision theory. He investigates how uncertainty—especially epistemic uncertainty and assumptions—affects risk assessments, and advocates for more transparent and robust frameworks. His work spans theoretical advances, such as the treatment of 'black swan' events and the concept of 'real risk', as well as practical applications in offshore safety, power systems, and geohazards. He emphasizes the integration of data-driven methods, AI, and digital twins while critically assessing their limitations and associated security risks. His recent publications show a strong trend toward integrating dynamic, data-rich, and interdisciplinary approaches to risk analysis. Themes include the role of time in risk, AI applications, infrastructure interdependencies, and environmental risk in the oil and gas sector. He frequently publishes in top-tier journals like Risk Analysis , Reliability Engineering & System Safety , and Safety Science , often in collaboration with leading scholars such as Terje Aven and Seth Guikema. No scientific awards are mentioned in the provided text. Roger Flage has supervised or collaborated with several researchers, though no formal list of advisees is provided. His work is supported through academic collaborations and institutional affiliations rather than explicit grant mentions. He is actively involved in advancing risk science methodology, particularly in the treatment of assumptions and uncertainty, and contributes to both theoretical foundations and real-world applications in safety-critical domains. He is associated with research groups and collaborative networks at the University of Stavanger, particularly within the Department of Security, Economics and Planning. His work often involves interdisciplinary teams focusing on risk in complex engineered systems, including energy, transportation, and environmental systems.

Jonathan HerringView profile

Professor

• Medical Law and Ethics
• Family Law
• Criminal Law
• +4 more

Professor Jonathan Herring serves at the Faculty of Law, University of Oxford with a focus on Medical Law and Ethics, Family Law, Criminal Law, and Vulnerability Theory . His work bridges feminist ethics of care with legal frameworks, challenging traditional individualistic approaches. DM Wolfe-Clarendon Fellow, Exeter College Editorial Board: Child and Family Law Quarterly Research Interests He investigates law's interaction with human relationships , emphasizing areas like domestic abuse as human rights violation , pregnancy regulation , mental capacity ethics , and dementia-related legal reforms . His Law Through the Life Course (2021) examines age-based legal assumptions. Publication Trends Recent works focus on obstetric violence (with Pickles), fragile X syndrome ethics (with Johnson), and revising sexual offense consent models . Articles span 2017-2025 , showing sustained engagement with vulnerability theory and relational legal philosophy . Teaching Contributions He instructs Criminal Law , Family Law , and Medical Law and Ethics for Oxford's BA Jurisprudence, plus Medical and Family Law BCL courses. Supervises DPhil topics across domestic abuse , obstetric violence , and trans parenthood .

Damon McCoyView profile

Professor

• Cybersecurity and Privacy
• Online Payment Systems
• Economics of Cybercrime
• +6 more

Damon McCoy is a Professor of Computer Science and Engineering at NYU Tandon School of Engineering and Co-Director of the NYU Center for Cybersecurity (CCS). He holds a Ph.D. in Computer Science from the University of Colorado, Boulder (2009) and a B.S. in the same field (1999). His research focuses on empirically measuring the security and privacy of technology systems, with a current emphasis on online payment systems, cybercrime economics, automotive security, privacy-enhancing technologies, and censorship resistance. He co-directs Cybersecurity for Democracy , a multi-university initiative addressing online threats to democratic processes. His research has examined topics such as the monetization of YouTube conspiracy content, toxic online discourse targeting election officials, and vulnerabilities in automotive systems. He has collaborated with institutions like the International Computer Science Institute and led studies on social media platforms' content moderation practices, including Facebook's handling of political ads and YouTube's ecosystem of deceptive advertising. McCoy's work often bridges cybersecurity with societal impacts, analyzing how technology intersects with democracy, misinformation, and economic exploitation. His contributions include developing frameworks for securing automotive software updates (Uptane) and methodologies to combat cybercrime supply chains. He has received funding from the National Science Foundation and other agencies to pursue projects addressing emerging cyber threats. Key affiliations include the NYU Center for Cybersecurity and the Center for Automotive Embedded Systems Security (CAESS), where he contributed to early automotive security analysis. He advises on cybersecurity policy and has published extensively in top-tier journals and conferences, focusing on real-world applications of security research.

M. Hadi AminiView profile

Assistant Professor

• Distributed Machine Learning
• Federated Learning
• Interdependent Networks
• +7 more

M. Hadi Amini is an Assistant Professor at Florida International University's Knight Foundation School of Computing and Information Sciences. He founded and directs the Sustainability, Optimization, and Learning for InterDependent networks (SOLID) laboratory, focusing on cyber-physical-social systems and distributed AI applications. Ph.D., Electrical and Computer Engineering (2019), Carnegie Mellon University M.Sc., Electrical and Computer Engineering (2015), Carnegie Mellon University M.Sc. (2013), Tarbiat Modares University B.Sc. (2011), Sharif University of Technology His research spans federated learning, interdependent network optimization, and AI applications in smart cities , energy systems , and healthcare . Recent work emphasizes privacy-preserving techniques, quantum encryption, and blockchain integration for secure distributed learning. The 15 most recent publications highlight trends in large language models , edge computing , medical imaging security , and infrastructure resilience , with interdisciplinary emphasis across computer science, systems engineering, and urban planning. Best Paper Award, IEEE Conference on Computational Science & Computational Intelligence (2019) Best Journal Paper Award, Springer Nature Operations Research Forum (2021) Excellence in Teaching Award, FIU (2020) Multiple Best Reviewer Awards, IEEE Transactions NSF Travel Awards (2019) As Associate Editor for Frontiers in Communications and Networks and book series editor for Sustainable Interdependent Networks , he actively shapes research discourse. His lab has secured $3.6M in federal/state funding for AI-driven infrastructure projects.

• Information Systems
• Knowledge Management
• Digital Transformation
• +3 more

Rajiv Sabherwal is Distinguished Professor and Edwin & Karlee Bradberry Chair in the Information Systems department at the Walton College of Business , University of Arkansas . A Fellow of IEEE, AIS, and Asia-Pacific Artificial Intelligence Association, he has performed numerous editorial roles including Editor-in-Chief for IEEE Transactions on Engineering Management and co-Deputy Editor-in-Chief for Journal of Strategic Information Systems . Education: PhD in Information Systems (University of Pittsburgh), Post Graduate Diploma in Management (IIM Calcutta), BE in Electronics Engineering (Regional Engineering College, Bhopal University) Research Interests focus on information technology management, knowledge processes, and strategic alignment. His work examines digital transformation, virtual teams, and societal impacts of generative AI, with publications in MIS Quarterly , Information Systems Research , and Management Science . Awards include: AIS LEO lifetime achievement award Fellow of IEEE Fellow of Association for Information Systems Fellow of Asia-Pacific Artificial Intelligence Association Recent Publications analyze IT investment strategies, cultural heritage preservation through technology, pandemic-era digital challenges, and mobile app security. His work appears in journals like Journal of Information Technology , Computers in Human Behavior , and Journal of Global Information Technology Management .

• Human Factors
• Cybersecurity
• Cognitive Science
• +6 more

Dr. Oliver Guidetti serves as a Level A Lecturer in Psychology at the University of Wollongong, specializing in human factors, cyber vigilance, and applied cognitive science. His interdisciplinary research bridges psychology, cybersecurity, and artificial intelligence to address critical challenges in human-machine collaboration and security operations environments. His educational foundation includes: Bachelor of Mathematics from Edith Cowan University (2011-2014) Bachelor of Science in Psychology from Edith Cowan University (2011-2014) Bachelor of Science (Psychology Honours) from Edith Cowan University (2015) Doctor of Philosophy from Edith Cowan University (2019-2022) Guidetti's research centers on the cognitive and physiological dimensions of human performance in security contexts. He investigates how eye-tracking, biometric monitoring, and neuroergonomic approaches can optimize vigilance in cybersecurity operations, while exploring socio-technical impacts of AI on human decision-making. His work extends to digital relationship literacy and AI bias mitigation, demonstrating applications across defense, healthcare, and industrial settings through collaborations with the Department of Home Affairs and Western Australian Cyber Defence Taskforce. His 2023-2024 publications reveal a cohesive research trajectory focused on cyber vigilance task design, human-AI teaming frameworks, and neuroergonomic validation methods. The corpus shows increasing integration of biometric data with cognitive theory to develop real-time performance assessment tools, alongside growing attention to ethical AI governance and cross-sector resilience in critical infrastructure protection. As an educator, Guidetti supervises Honours and PhD students in human factors and AI-driven research while teaching psychology research methods and cybersecurity applications. He co-developed an Australian Psychological Society-certified professional development course for psychologists entering cybersecurity fields, demonstrating his commitment to translating research into industry practice. His professional leadership includes advising on cyber vigilance frameworks, developing AI bias mitigation strategies, and serving on APS committees focused on digital psychology applications. Current projects involve designing AI-driven dating simulators for relationship literacy interventions and creating certified training programs for security operations personnel.

Wynne LamView profile

Senior Lecturer

• Industrial Organization
• Digital Economy
• Competition Policy
• +6 more

Wynne Lam is a Senior Lecturer in Business Economics at the University of Edinburgh Business School . She serves as Programme Director for the MSc in Banking Innovation & Risk Analytics and is an Associate Member of the Centre for Competition Policy at the University of East Anglia. She also sits on the advisory board of the Competition and Innovation Lab at George Washington University. Her research focuses on industrial organization in the digital economy, particularly competition and regulation in digital markets. PhD in Economics (Toulouse School of Economics, University of Bologna) Master of Arts in Higher Education Practice Her work spans theoretical industrial organization , cybersecurity economics, platform markets, and dynamic games. Key themes include pricing strategies, information diffusion, and regulatory frameworks for digital platforms. Recent research trends highlight cybersecurity investments, market uncertainty, and platform governance. Her studies often employ dynamic game theory to analyze competition and consumer behavior in digital ecosystems. Scientific awards include: Fellowship from the Higher Education Academy She has published extensively on digital market competition, cybersecurity incentives, and platform regulation, with collaborations across Europe and the US. Her work appears in journals like European Journal of Operational Research and Production and Operations Management .

John P. CaughlinView profile

Professor

• Interpersonal Communication
• Health Communication
• Technology & Relationships
• +3 more

John P. Caughlin is a Professor and Head of the Department of Communication at the University of Illinois at Urbana-Champaign, affiliated with the College of Liberal Arts & Sciences. His research focuses on the intersection of interpersonal communication with health, relationships, and technology. He holds a Ph.D. from the University of Texas at Austin (1997), an M.A. from the University of Kentucky (1992), and a B.A. from the University of Illinois (1991). Research Interests : Explores how interpersonal communication affects relational and personal well-being, particularly in managing conflicts and health challenges. His work emphasizes strategic communication tactics and the role of technology (e.g., social media, texting) in relationship dynamics. He developed the Communication Interdependence Perspective to explain how integrating communication modes enhances relational closeness. Recent Research Trends : Recent articles address ethical dimensions of interpersonal communication, smartphone interference in conflicts, technology-mediated well-being, theoretical frameworks for message design, and digital relationship maintenance. His work bridges practical communication strategies with broader social and technological contexts. Awards : - Fellow, International Communication Association (2019) - Fellow, International Association for Relationship Research (2016) - NCA Bernard J. Brommel Award (2009) Grants & Advising : Recipient of the Arnold Beckman Research Award (2009) and early-career Miller Award (2004). Active in mentoring students in communication studies, though specific advisee names are not listed. His research lab focuses on mediated communication and relational health.

Simone SilvestriView profile

Professor

• Cyber-Physical-Human Systems
• Internet of Things
• Smart Grid Security
• +5 more

Simone Silvestri is a Professor and Director of Graduate Studies in the Department of Computer Science at the University of Kentucky, within the Stanley and Karen Pigman College of Engineering. He has held this position since 2025, having previously served as Associate Professor from 2021-2025 and Assistant Professor from 2017-2021. Prior to his appointment at UK, he was an Assistant Professor at Missouri University of Science and Technology (2014-2017) and held postdoctoral positions at Pennsylvania State University (2012-2014) and Sapienza University of Rome (2010-2012). Dr. Silvestri earned his Ph.D. in Computer Science from Sapienza University of Rome, Italy in 2010, following a Laurea cum Laude in Computer Science from the same institution in 2006. His research focuses on Cyber-Physical-Human Systems, Internet of Things, Smart Grid Security, Terrestrial and Aerial Mobile Networks, and Network Management. His work bridges computer science with practical applications in agriculture, energy management, and disaster response scenarios. His research program has been supported by over $5 million in federal funding, including an NSF CAREER award in 2020. He has published more than 100 papers in top-tier journals and conferences including IEEE Transactions on Mobile Computing, IEEE Transactions on Smart Grids, and ACM Transactions on Sensor Networks. His recent work shows a strong trend toward applying cyber-physical systems to agricultural technology, energy management, and precision livestock farming, with increasing integration of machine learning techniques. NSF CAREER Award (2020) Best Demo Runner-Up Paper - IEEE PerCom (2025) Excellent Editor Award - IEEE Transactions on Network Science and Engineering (2024) Best Editor Award - Elsevier Pervasive and Mobile Computing (2024) Best paper award - IEEE International Conference on Network Protocols (2009) Dr. Silvestri has advised numerous graduate students to completion, including Ph.D. candidates Xu Tao and Ashtuoth Timilsina, and Master's students Josh Guess and Seifalla Moustafa. His research group has secured significant funding from NSF, NIFA, NATO, and other agencies for projects totaling over $6 million. He also created the CSMentor resource, providing guidance for computer science graduate students on academic writing, PhD success, and career development. Dr. Silvestri actively collaborates with researchers across multiple disciplines, particularly in agricultural technology and precision farming applications.

János KertészView profile

Professor

• Statistical Physics
• Complex Networks
• Financial Analysis
• +9 more

János Kertész is a Professor at the Department of Network and Data Science at Central European University (CEU) since 2012, and previously held the position of Professor at the Budapest University of Technology and Economics (1992–2018). He obtained his PhD in Physics from Eötvös University (1980) and DSc from the Hungarian Academy of Sciences (1989). His research spans statistical physics applications, complex networks, and financial analysis. He has authored over 280 papers and served on editorial boards of journals like Journal of Physics A and Physical Review E . His research focuses on interdisciplinary topics including social network dynamics, systemic risk in economic systems, and algorithmic bias in digital environments. Notable awards include the Széchenyi Prize (Hungary’s highest scientific honor) and the Finland Distinguished Professorship. He has led projects such as SAI (Socially Explainable AI) and HUMANE-AI-NET, addressing algorithmic bias and AI ethics. His work bridges physics-based modeling with real-world social and economic systems, emphasizing computational approaches to corruption, opinion formation, and innovation diffusion. Key contributions include modeling cascading failures in interdependent networks and analyzing attention dynamics on platforms like Sina Weibo during the pandemic. He advises on systemic risk mitigation strategies and collaborates internationally, with visiting roles in Germany, the U.S., France, Italy, and Finland.

Jean-Philippe PierronView profile

Professor

• Contemporary French Philosophy
• Moral Philosophy
• Applied Ethics
• +6 more

Jean-Philippe Pierron is a University Professor in philosophy of life, medicine and care at Jean Moulin-Lyon 3 University, where he serves in the Faculty of Philosophy. He is the Director of the "Values of Care" Research Chair since 2016 and previously served as Dean of the Faculty of Philosophy. His office is located in room 435 of the Law-Letters building. He is attached to the LIR3S laboratory (UMR CNRS-uB 7366) and holds leadership roles including Head of the philosophy department for the M2 "Imaginary & Rationality" course and co-head of the M2 Medical and Environmental Humanities program. Professor Pierron specializes in Contemporary French philosophy, Moral Philosophy and Applied Ethics, Environmental Philosophy, and Phenomenology and Hermeneutics. His research focuses on the philosophy of care, medical humanities, and environmental ethics, with particular attention to how digital technologies transform healthcare relationships and the ethical implications of contemporary medical practices. He explores the intersections between vulnerability, care ethics, and environmental concerns, developing a comprehensive framework for understanding care as both a philosophical concept and practical reality. His recent publications reveal a consistent focus on the philosophy of care across multiple domains - medical, environmental, and technological. The trend shows increasing attention to digital transformation in healthcare (2023-2024), the relationship between ecological and medical care (2018-2023), and the philosophical foundations of vulnerability and finitude (2016-2024). His work bridges Continental philosophy, particularly through Ricœur's hermeneutics, with practical ethical concerns in contemporary healthcare and environmental contexts. Elected member of the scientific council of the French Society for Palliative Care and Support (SFAP) Elected member of the Steering Committee of the Bourgogne-Franche-Comté Ethical Reflection Space As Director of the "Values of Care" Research Chair since 2016, he leads a significant research initiative examining the ethical, economic, and political dimensions of care practices. His departmental leadership roles in the M2 "Imaginary & Rationality" course and the M2 Medical and Environmental Humanities program indicate his commitment to interdisciplinary education that bridges philosophical theory with practical applications in healthcare and environmental contexts. His work is closely associated with the LIR3S laboratory (UMR CNRS-uB 7366), suggesting active participation in research teams focused on interdisciplinary studies at the intersection of philosophy, ethics, and social sciences. The "Values of Care" Research Chair represents a major institutional commitment to exploring care from multiple disciplinary perspectives.

Georgios KavallieratosView profile

Associate Professor

• Cybersecurity
• Maritime Cybersecurity
• Cyber-Physical Systems
• +3 more

Georgios Kavallieratos is an Associate Professor at the University of Oslo's Institute of Transport Economics, specializing in the Section for Autonomous Systems and Sensor Technologies. His research focuses on cybersecurity in maritime systems, cyber-physical systems, and risk management. He actively contributes to the DESSI project on energy system security infrastructure. His research interests include maritime cybersecurity, cyber-physical system security, and the intersection of safety and security in autonomous systems. His work addresses threats to navigation systems, smart farming, and satellite communications, with a focus on developing risk assessment frameworks and robust cybersecurity controls. Recent publications emphasize maritime cybersecurity trends, integrated navigation system protection, and threat analysis in emerging technologies like Dairy Farming 4.0. He co-authored foundational papers on cyberattack defenses for autonomous ships and cybersecurity requirements for Shipping 4.0. Current projects involve enhancing societal awareness of cybersecurity risks and improving incident response strategies for critical infrastructure. His work bridges theoretical cybersecurity principles with practical applications in transportation and industrial systems.

• Transportation and Logistics
• Supply Chain Management
• Operations Research
• +7 more

Prof. Keng Hock, Mark Goh is a Professor at the National University of Singapore (NUS) Business School, holding a joint appointment as Director (Industry Research) at The Logistics Institute-Asia Pacific (TLI-AP). He specializes in logistics, supply chain strategy, and operations research. He earned his PhD from the University of Adelaide on a fully funded scholarship and has held adjunct and visiting roles globally. His research focuses on supply chain risk management, healthcare logistics, and strategic decision-making, with over 400 publications in top journals. Notable contributions include work on multi-criteria supplier selection, supply chain resilience, and AI ethics in e-commerce. He has received the Supply Chain Educator Award and is recognized in global directories like *Who’s Who in Asia and the Pacific Nations*. Prof. Goh advises public and private sector organizations on logistics strategy and sits on industry committees such as the World Economic Forum’s Global Advisory Council on Logistics. His current projects emphasize syncretic value-driven logistics models and sustainable recycling frameworks. He leads collaborative research teams addressing global supply chain challenges through interdisciplinary approaches. His articles reflect cutting-edge advancements in AI-driven decision models, risk networks in construction, and data ownership strategies in digital platforms. These contributions underscore his role as a thought leader in logistics and operations research, blending academic rigor with real-world industry applications.

Gea RahmanView profile

Lecturer

• Data Science
• Machine Learning
• Ensemble Learning
• +7 more

Dr. Gea Rahman is a Lecturer in Computing at Charles Sturt University (CSU), specializing in data science and machine learning. He holds a PhD in Computer Science from CSU, and MSc/BSc degrees from Rajshahi University, Bangladesh, where he was awarded a Gold Medal for academic excellence. With over 20 years of teaching experience, he previously served as Professor and Programme Director at Bangladesh Agricultural University. Education: PhD in Computer Science (Data Science/ML), Charles Sturt University (2011-2015) MSc in Computer Science & Engineering, Rajshahi University (2002-2003) BSc (Hons) in Computer Science & Technology, Rajshahi University (1998-2002) Research Interests: Data science applications in agriculture, healthcare, and environmental monitoring Machine learning techniques including ensemble/deep learning, transfer learning, and incremental learning Data preprocessing methods (missing value imputation, outlier analysis) AI ethics and healthcare consent strategies Awards: Global Research Impact Recognition Award 2020 Best Researcher Award Gold Medal for Academic Excellence (2003) Advising & Grants: Principal supervisor for multiple postgraduate students Recipient of grants including: Ai-Enabled Segmentation of Brain MRI (2024) Adaptive Federated Learning Framework (2024) Unusual Behaviour Detection in Aged Care (2023) He is part of the Data Mining Research Group (DaMRG) and actively contributes to conferences/journals as a reviewer and editorial board member.

• Networked Epidemic Modeling
• Control Theory
• Machine Learning
• +4 more

Philip E. Paré is the Rita Lane and Norma Fries Assistant Professor of Electrical and Computer Engineering at Purdue University's College of Engineering. His research focuses on networked epidemic modeling, control theory, and data-driven systems analysis, with applications to public health and product demand dynamics. Research Areas: Networked Epidemic Modeling, Control Theory, Machine Learning, Privacy in Cyber-Physical Systems Recent work explores multi-virus spread, differential privacy in epidemic models, and optimal curing strategies. A 2023 NSF CAREER Award recipient, he develops frameworks for counterfactual analysis and feedback control in societal-scale challenges. Scientific Awards: NSF CAREER Award (2023)