Find Academic Supervisors

Michael K. ReiterView profile

Professor

• Computer Security
• Distributed Systems
• Applied Cryptography
• +3 more

Michael K. Reiter is a Professor at Duke University in the Department of Computer Science and Department of Electrical & Computer Engineering . He received his Ph.D. in Computer Science from Cornell University (1993) and held academic positions at Carnegie Mellon University and UNC Chapel Hill. Research Focus: Computer and network security, distributed systems, and applied cryptography. Notable Contributions: Pioneering work in Byzantine fault tolerance, malware detection, privacy-preserving protocols, and human-verifiable authentication. Leadership: Founding Technical Director of CyLab at Carnegie Mellon, program committee roles at top security conferences. Recent Publications emphasize: Machine learning security (adversarial training, backdoor detection) Blockchain consensus mechanisms (asynchronous BFT, random beacons) Privacy-enhancing technologies (differential privacy, private set intersection) Side-channel mitigation in cloud environments Awards & Recognition: ACM Fellow (2008) James B. Duke Distinguished Professor

Martin MullinsView profile

Professor

• Risk
• Insurance
• Ethics
• +4 more

Martin Mullins is Professor in Risk and Insurance at the Kemmy Business School, University of Limerick, where he co-leads the Emerging Risk Group. He holds dual affiliations as Visiting Professor at Vicomtech Foundation (Basque Country, Spain) and member of both the Centre for Emerging Risk Studies and Lero – the Irish Research Centre for Software. His cross-institutional roles include serving as data ethicist for the Central Bank of Ireland and teaching risk/ethics modules for Ireland's national MSc in Artificial Intelligence. His research centers on the convergence of emerging technologies and risk governance, with specific expertise in AI ethics for insurance applications, cyber risk transfer mechanisms, and ethical implications of autonomous systems. Recent work examines trust deficiencies in generative AI for high-stakes insurance decisions, efficacy of cyber insurance markets, and gamified training for financial crime detection – consistently bridging theoretical frameworks with regulatory practice. Analysis of his 2024 publications reveals three dominant trends: (1) Critical examination of AI's role in insurance underwriting, particularly trust barriers in ChatGPT applications; (2) Structural analysis of cyber insurance markets with focus on German regulatory models and reinsurance solutions; (3) Innovation in financial crime detection through behavioral training methodologies. These outputs demonstrate his interdisciplinary approach spanning technology ethics, risk modeling, and regulatory policy. Professor Mullins has secured significant research funding through four EU Commission projects including VIDAS and Cloud-LSVA (funded under MG3.6 and ICT 16 calls), investigating risk metrics and privacy frameworks for assisted driving systems. His work actively contributes to United Nations Sustainable Development Goals related to responsible technology development and ethical innovation. He co-leads the Emerging Risk Group at University of Limerick, collaborating with Lero on software risk initiatives and with Vicomtech Foundation on Basque-region technology ethics projects. Current engagements include advising the European Insurance and Occupational Pensions Authority (EIOPA) as member of their Digital Ethics in Insurance Expert Group.

Kai Li LimView profile

Researcher

• Electric Vehicles
• Autonomous Vehicles
• Data Engineering
• +12 more

Dr Kai Li Lim is the St Baker Fellow in E-Mobility at the Dow Centre for Sustainable Engineering Innovation , part of the Faculty of Engineering, Architecture and Information Technology at The University of Queensland (UQ) . Specializing in data engineering , telematics , and autonomous vehicle systems , his research examines electric vehicle (EV) usage patterns , charging reliability , and spatiotemporal data analysis to inform policy and sustainable transport strategies. Education : BEng (Hons) in Electronic and Computer Engineering (University of Nottingham), MSc in Computer Science (Lancaster University), PhD in Artificial Intelligence and Robotics (The University of Western Australia, funded by Australian Government Research Training Programme). Research Interests include: Electric vehicle telematics and data analytics Computer vision and deep learning for autonomous navigation Policy development for sustainable transport Infrastructure planning for EV and hydrogen systems Integration of cloud computing and IoT in mobility solutions Publication Trends reveal a focus on EV charging behaviors , data platform architectures , and autonomous driving frameworks , with recent work addressing regional emission disparities , modular safety systems , and online assessment integrity . Scientific Awards : St Baker Fellow in E-Mobility, Visiting Fellowship at UC Davis Electric Vehicle Research Center, Australian Government Research Training Programme (PhD funding). Supervision and Grants : Available for supervision, Dr Lim has secured funding from Energy Consumers Australia , iMove CRC , and Australian Urban Research Infrastructure Network (AURIN) for projects on EV charging incentives, freight emissions modeling, and longitudinal vehicle data databases. Labs and Collaborations : Collaborates with UC Davis Electric Vehicle Research Center , UQ School of Civil Engineering , and UQ School of Electrical Engineering and Computer Science . Leads the UQ Teslascope Project and contributes to the Green Australian Vehicle Ownership (GreenAVO) Capability for AURIN .

• Cybersecurity
• Game Theory
• Quantum Cryptography
• +5 more

Stefan Rass is a Professor at the Institute of Networks and Security within the Faculty of Engineering & Natural Sciences at Johannes Kepler University Linz (JKU), where he leads the LIT Secure and Correct Systems Lab. As Principal Investigator for FFG-funded projects including reSilienz (digital supply chain resilience, 2023–2025) and ITPUK (AI signature verification, 2022–2024), he bridges theoretical game theory with practical cybersecurity solutions for critical infrastructures and robotics systems. His research spans game-theoretic security models (patrolling games, defense-in-depth strategies), quantum cryptography (QKD network architectures), and cyber deception frameworks like Honeyquest for measuring honeypot effectiveness. Recent work addresses robotics security benchmarking (RobotPerf), cryptographic instruction chaining for control flow protection, and risk assessment methodologies for interdependent infrastructures. His mathematical decision-making approach integrates bounded rationality and stochastic modeling to solve real-world security challenges. Professor Rass actively shapes the field through program committee roles (ARES 2023), peer reviews, and invited talks on security transparency. His current projects focus on cost-benefit-aware monitoring for cyber-physical systems and quantum key distribution standardization, reflecting Austria’s strategic priorities in digital resilience. The LIT Secure and Correct Systems Lab under his direction develops foundational theories while deploying tools for industrial applications, particularly in critical infrastructure protection and secure robotics workflows.

Stacey ConchieView profile

Professor

• Social Psychology
• Security Studies
• Trust in Organizations
• +4 more

Professor Stacey Conchie is a leading academic in the Department of Psychology at Lancaster University , specializing in socio-psychological factors influencing behavior in high-risk environments. As Director of the ESRC National Centre for Research and Evidence on Security Threats (CREST) and co-lead of the EPSRC SPRITE+ Network Plus , she bridges academic research with practical applications in security, privacy, and trust. Her work is funded by government agencies, private industry, and charities.

Michelle MazurekView profile

Associate Professor

• Cybersecurity
• Human-Centered Security and Privacy
• Human-Computer Interaction (HCI)
• +4 more

Michelle Mazurek is an Associate Professor of Computer Science and Director of the Maryland Cybersecurity Center (MC2) at the University of Maryland, College Park. She holds affiliations with UMIACS and is an Affiliate Associate Professor in Electrical and Computer Engineering (ECE). Her research focuses on human-centered security and privacy, emphasizing real-world user behavior analysis to improve security practices for professionals and end-users. Key areas include developer security education, end-user security behaviors, and encrypted messaging adoption. Education: Ph.D., Electrical and Computer Engineering, Carnegie Mellon University (2014) B.S., Computer Science, University of Maryland (2004) Research Interests: Dr. Mazurek investigates how humans interact with security systems, particularly in professional (e.g., sysadmins, developers) and everyday contexts. Her work addresses challenges like insecure code propagation from online forums, privacy implications of digital tracking, and safety needs of marginalized groups (e.g., sex workers). She leads the Security, Privacy, People (SP2) lab and collaborates with industry partners to design usable security tools. Awards: NSF CAREER Award (2020) CyLab Distinguished Alumni Award (2022) Best Paper Awards at USENIX Security (2018) and NSA (2016) Advising & Leadership: Mazurek advises multiple PhD students in computer science and oversees MC2’s postdoctoral fellowship program. Her leadership expands MC2’s interdisciplinary research in areas like blockchain security, post-quantum cryptography, and human-centered approaches. She also fosters collaborations with industry leaders such as Cisco and Northrop Grumman. Labs & Teams: Directs the SP2 lab within MC2 and participates in the Human-Computer Interaction Lab (HCIL). Past affiliations include CyLab and the Parallel Data Lab (PDL).

• Supply Chain Management
• Complex Adaptive Systems
• Multi-tier Supply Chains
• +3 more

Thomas Choi is a Regents Professor and the AT&T Professor at Arizona State University's W. P. Carey School of Business, specializing in supply chain management. He leads the Complex Adaptive Supply Networks Research Accelerator (CASN-RA) and has advised major organizations like LG Electronics, Samsung, and the U.S. Department of Energy. His research focuses on supply chain design, multi-tier dynamics, and complex adaptive systems. He holds a Ph.D. from the University of Michigan (1992) and a B.A. from UC Berkeley (1980). Research Interests: Supply chain design, multi-tier management, supply network complexity, and resilience. Notable contributions include theories on triads in supply networks and supply chain financing. He has co-authored the Oxford Handbook of Supply Chain Management and been recognized as a Clarivate Highly Cited Researcher. Awards: 2018 Highly Cited Researcher, 2017 Emerald Citation of Excellence, 2016 Harold Fearon Best Paper Award. Collaborations span academia and industry, including a $15M USAID project in Ghana. Grants and Labs: Principal researcher in NSF-funded studies on supply network design and environmental performance. Co-directs CASN-RA and CAPS Research. Advised doctoral students now leading academic and industry roles globally. Service: Editorships in top journals, invited talks at institutions worldwide, and leadership in global executive education programs.

• Data Governance
• AI Ethics
• Data Protection
• +4 more

Dr. Rob Brennan is an Assistant Professor in the School of Computer Science at University College Dublin. With 25 years of academic and industry experience, he specializes in data governance, AI ethics, and cybersecurity. His research integrates socio-technical systems analysis, data protection frameworks, and healthcare risk management. He leads the Value and Risk research challenge within the ADAPT Centre's Transparent Digital Governance initiative and coordinates projects like the ARK platform for risk governance. Education: BSc in Physics, Dublin City University MSc, Queen's University Belfast PhD in Governance, Dublin City University Professional Diploma in University Teaching and Learning, University College Dublin Research Interests: Data Governance & AI Accountability GDPR Compliance & Privacy Engineering Healthcare Risk Management Knowledge Graphs & Linked Data Cybersecurity & Incident Response Key Contributions: Co-PI of Science Foundation Ireland's Empower Data Governance project Coordinator of the €4M H2020 ALIGNED project on software/data engineering Developed the ARK platform for risk governance in healthcare and cybersecurity Grants & Awards: Best Paper Award at Extended Semantic Web Conference 2023 Principal Investigator for grants including the ARK-Virus platform (SFI-funded) Teaching & Mentorship: Coordinates courses on Cyber Risk Assessment, Incident Response, and Data Protection Supervises PhD students focusing on data governance and AI ethics Co-developed the MA in Data Protection and Privacy Law with Computing Professional Activities: Member of FAccT 2023 Program Committee Co-chair of the Irish Conference on Artificial Intelligence and Cognitive Science Contributor to international standards (OMG, IETF, 3GPP)

Tyler JostView profile

Assistant Professor

• Bureaucracy
• US Foreign Policy
• Chinese Politics
• +8 more

Tyler Jost is an Assistant Professor of Political Science and International and Public Affairs at Brown University’s Watson Institute for International and Public Affairs. His research focuses on national security decision-making, bureaucratic politics, and Chinese foreign policy. He holds a Ph.D. in Government from Harvard University and has held postdoctoral fellowships at Columbia University and Dartmouth College. His first book, Bureaucracies at War (Cambridge University Press, 2024), examines how bureaucratic institutions influence foreign policy outcomes. He is currently working on a second book about cooperation between the U.S. and China involving peripheral states. His research spans topics such as bureaucratic communication, cyber coercion, and autocratic institutions, with a focus on China’s foreign policy dynamics. Teaching includes courses on Chinese foreign policy, U.S.-China relations, and national security decision-making. His recent work has been published in International Organization , International Security , and Foreign Affairs . Key areas of interest include understanding how institutional designs shape policy advice, the role of military ties in civilian leadership challenges in China, and the strategic use of coercive tactics in international politics. Jost’s interdisciplinary approach combines qualitative, statistical, and experimental methods to analyze elite adviser behavior and bureaucratic competition.

Rhongho JangView profile

Assistant Professor

• Cybersecurity
• Artificial Intelligence Security
• Network Systems
• +3 more

Rhongho Jang is an Assistant Professor in the Department of Computer Science at Wayne State University's College of Engineering. He holds a PhD from the University of Central Florida and directs the Networked Intelligence and Distributed Security (NIDS) Lab. His research advances security and privacy in distributed systems, networks, and AI. Research spans cybersecurity, AI security, network algorithms, and distributed systems, with applications in intrusion detection, malware analysis, and in-network computing. Recent publications focus on data plane security, adversarial ML, and IoT security. Awards include NSF grants (2022-2023), Best Paper Award at DSN 2021, and KISA's Outstanding Young Researcher (2018). Current PhD advisees include Seyed Mohammad Mehdi Mirnajafizadeh, Seungsam Yang, Fatima Kamal Khaja, and Sian Kim. Manages NIDS Lab with projects on cyber-physical security and in-network computing.

Dongxiao ZhuView profile

Professor

• Artificial Intelligence
• Trustworthy AI
• Adversarial Machine Learning
• +3 more

Dongxiao Zhu is Professor and Founding Director of the Wayne AI Research Initiative in the Department of Computer Science at Wayne State University's James and Patricia Anderson College of Engineering. He holds a PhD from the University of Michigan, Ann Arbor, and leads the Trustworthy AI Lab, focusing on adversarial robustness, explainability, and algorithmic fairness in AI systems. His research spans foundational AI and applied domains: Adversarial robustness for vision transformers Medical image segmentation (CT/MRI) Fairness in deep neural networks Trustworthy AI for healthcare and urban systems Dr. Zhu has secured over $6M in research funding from NIH and NSF, including recent grants for pediatric SARS-CoV-2 risk assessment chatbots ($1.4M) and mobility equity AI ($613K). His honors include the College of Engineering Excellence in Research Award and recognition for top-cited publications in Journal of Biophotonics. He advises PhD students in computer vision and health informatics, and developed Wayne State's MS in AI program.

Stephen ZaccaroView profile

Professor

• Leadership Development
• Multiteam Systems
• Cybersecurity Team Performance
• +5 more

Dr. Stephen J. Zaccaro is a Professor of Psychology at George Mason University, specializing in Industrial-Organizational and Military Psychology. His research focuses on leadership development, multiteam systems, cybersecurity team performance, and leader adaptability. He has authored over 125 publications and co-edited books on leadership, multiteam systems, and cybersecurity. He serves on editorial boards for journals like The Leadership Quarterly and is a Fellow of the Association for Psychological Science and APA Divisions 14 and 19. Dr. Zaccaro has directed funded projects on leadership training, cyber security incident response teams, and team performance. He has advised numerous graduate students and collaborates with private, public, and military sectors. His work integrates theoretical and applied perspectives, emphasizing practical implications for leadership and team effectiveness. His research interests include the psychosocial dynamics of cybersecurity, leader-team interfaces, and the development of adaptive leadership skills. He has contributed to frameworks for evaluating leadership coaching and multiteam system performance, with a focus on innovation, communication, and organizational agility. Key scientific awards include his Fellowships in the Association for Psychological Science and American Psychological Association. His work bridges academia and practice, addressing challenges in leadership development, team dynamics, and crisis response.

Chaitanya Krishna SambharaView profile

Assistant Professor

• Business Value of IT
• IT-Enabled Process Innovation
• Enterprise Systems Risks
• +3 more

Chaitanya 'Chai' Sambhara is an Assistant Professor in the Information Systems and Operations Management department at the University of Texas at Arlington's College of Business. He researches how enterprise systems and complementary capabilities improve business processes and mitigate risks. His work integrates information systems, accounting, and operations perspectives. Education includes: Ph.D. in Information Systems, Georgia State University (2015) M.S. in Computer Science, Georgia State University (2009) B.Tech in Electronics Engineering, Biju Patnaik University (2005) Research examines IT-enabled business process innovation, enterprise system configurations, blockchain applications, and cybersecurity risks. Current projects investigate paradoxical effects of IT use on internal controls and information risk management. Publications demonstrate consistent focus on enterprise system risks, reverse auction challenges, and blockchain implications. Recent work explores unintended consequences of IT implementation and configuration strategies. Awards include: Best Conference Paper Nominee, ICIS (2018, 2016) Teaching Excellence Award, Georgia State University (2013) BNSF Spirit Award (2008) Best Speaker Award, India (2001) Teaching covers Business Programming, Database Management, IT Strategy, and Blockchain Technology. Service includes editorial roles for IS conferences and journals.

Dennis DesmondView profile

Lecturer

• Cryptocurrency Laundering
• Darknet Marketplace Interventions
• National Security
• +5 more

Dr. Dennis Desmond is a Lecturer in Cyber Security at the University of the Sunshine Coast's School of Science, Technology and Engineering. He holds a PhD from USC, an MA from Indiana University, and a BA from Ohio State University. Prior to academia, he served in counterintelligence roles with the U.S. Army, FBI, and Defense Intelligence Agency, specializing in cyber threats from Eastern Europe and identity operations. His research focuses on cryptocurrency laundering, darknet marketplace interventions, and cybersecurity systems analysis. Education: PhD, University of the Sunshine Coast MA, Indiana University BA, Ohio State University Research interests include darknet interventions, human factors in cybersecurity, and socio-technical systems underlying financial crime. He leads the ARC Linkage Grant project on darknet market interventions and collaborates with international law enforcement agencies. Recent work explores AI ethics in cybersecurity, facial recognition privacy risks, and cryptocurrency laundering dynamics. Scientific awards include the ARC Linkage Grant (2017), Harvard National Security Fellowship (2013), and a George C. Marshall Fellowship (1994). He advises on national security matters and teaches advanced courses in cyber intelligence, cryptography, and blockchain technologies. Grants: Led the $540,322 ARC Linkage Grant (2017-2021) investigating darknet market interventions. His research addresses global cybersecurity challenges through interdisciplinary systems ergonomics approaches. Labs/Teams: Active researcher in the Centre for Human Factors and Sociotechnical Systems at USC, focusing on darknet intervention strategies and cryptolaundering prevention.

Abdul AliView profile

Lecturer

• Supply Chain Management
• Green Logistics
• Circular Economy
• +3 more

Abdul Ali is Lecturer in Operations and Supply Chain Management at Northumbria University's London campus. He holds a Ph.D. in Supply Chain Management from the University of Bedfordshire and is a certified Lean Six Sigma Green Belt practitioner. Research Focus: His interdisciplinary work examines: Sustainable supply chain models Green logistics strategies Circular economy implementation Supplier collaboration mechanisms He also researches technology applications including blockchain and AI in supply chain contexts. Recent publications address cybersecurity in cyber-physical systems, multi-objective optimization techniques, and blockchain applications for electoral systems. His research aims to develop resilient and ethical supply chain frameworks.