Find Academic Supervisors

• Cybersecurity
• Steganography
• Covert Channels
• +5 more

Luca Caviglione is a prominent cybersecurity researcher at the National Research Council of Italy (CNR), specializing in steganography, covert channels, and network security. With over 140 publications spanning from 2015 to 2025, he has established himself as a leading expert in information hiding techniques and their security implications. His research bridges theoretical foundations with practical applications in IoT, cloud computing, and mobile security environments. Dr. Caviglione's primary research interests focus on steganography and covert communication channels , particularly their application in modern computing environments. He investigates how data can be hidden within network protocols, mobile applications, and cloud infrastructures, while simultaneously developing detection methodologies. His work extends to IoT security , where he examines vulnerabilities in constrained devices and develops AI-based approaches for threat detection. Additional research areas include container security, malware analysis (particularly stegomalware), and security protocol analysis. Caviglione's publication record reveals a clear evolution toward applying machine learning and artificial intelligence to detect sophisticated threats like stegomalware. His recent work increasingly addresses container security, DDoS protection in microservices, and post-quantum security challenges, reflecting the evolving threat landscape. He frequently collaborates with international researchers, notably Wojciech Mazurczyk (46 co-authored papers) and Steffen Wendzel (31 co-authored papers), forming a productive research network in information hiding. As an active contributor to the cybersecurity research ecosystem, Caviglione serves on editorial boards and has organized special issues focused on information security methodology and replication studies. His leadership in developing taxonomies for steganography methods demonstrates his influence in shaping research directions in this specialized field. His work has practical implications for securing modern computing environments against increasingly sophisticated hidden communication channels.

Larry SchwartztolView profile

Academic

• Democracy
• Voting Rights
• Civil Rights
• +8 more

Larry Schwartztol is Professor of Practice at Harvard Law School and faculty director of the Democracy and Rule of Law Clinic. He teaches courses in civil procedure, presidential elections, and legal tools for protecting democracy. His career spans government service, public interest litigation, and academic scholarship. Education: B.A. in Philosophy, University of Chicago, 2001 J.D., Yale Law School, 2005 Larry Schwartztol's research focuses on democracy, voting rights, civil rights, anti-discrimination law, and federal civil procedure. His work explores constitutional foundations of election law, the role of courts in protecting democratic integrity, and mechanisms to prevent partisan manipulation of electoral processes. He has written extensively on the Electoral Count Reform Act, constitutional amendments, and racial justice in the criminal justice system. His recent publications, including in the Vanderbilt Law Review , Lawfare , The Atlantic , and The Hill , reflect a consistent theme: strengthening democratic institutions through legal reform, professionalized election administration, and robust judicial oversight. His scholarship analyzes the constitutional authority of Congress in electoral matters and advocates for depoliticizing election administration. Scientific Awards: No awards listed in the provided text. Larry Schwartztol has advised and collaborated with major civil rights and democracy organizations. He served as counsel at Protect Democracy, Executive Director of the Criminal Justice Policy Program at Harvard Law School, staff attorney at the ACLU’s Racial Justice Program, and Liman Fellow at the Brennan Center for Justice. He clerked for Judge Harry T. Edwards on the U.S. Court of Appeals for the D.C. Circuit. There is no mention of specific grants, but his work suggests engagement with institutional and policy-level advocacy. He has not publicly listed advisees or students in the provided materials. Labs, Teams, and Clinics: Democracy and Rule of Law Clinic (Faculty Director), Harvard Law School Former member of the Biden Administration’s White House Counsel’s Office Former counsel at Protect Democracy Former staff attorney, ACLU Racial Justice Program

• Virtual Reality
• Human-Computer Interaction
• Psychology of Interactive Systems
• +5 more

Prof. Dr. Carolin Wienrich is a Professor of Psychology of Intelligent Interactive Systems at Julius-Maximilians-University Würzburg, Faculty of Human Sciences, and Co-director of XR HUB Würzburg since 2020. Her work bridges psychology, virtual reality, and human-computer interaction to understand human experiences in digital environments. Her educational background includes: 2010: Psychology Degree from Martin Luther University Halle/Wittenberg 2015: Interdisciplinary PhD from TU Berlin | Faculty of Traffic and Machine Systems Prof. Wienrich's research explores psychological aspects of presence, embodiment, and social interaction in XR systems. She investigates how device characteristics affect user experience, with applications ranging from workplace collaboration to therapeutic interventions. Her systematic review on psychological ownership of virtual objects has provided foundational insights into how users form emotional connections with digital assets. She has made significant contributions to understanding avatar embodiment effects on body image and self-esteem, as well as the impact of immersion levels on social presence and task performance. Analysis of her recent publications reveals several key research trends: Investigating cross-device collaboration and asymmetric interaction in virtual environments Exploring psychological ownership of virtual objects and environments Developing VR applications for therapeutic interventions in mental health Studying human-AI interaction dynamics in spatial computing environments Examining privacy, safety, and harassment issues in social VR Developing training approaches to improve user competence with intelligent systems Her notable awards include: 2020 Research Prize of the Faculty of Human Sciences (JMU Würzburg) 2019 Prize for Good Teaching Bavaria (Free State of Bavaria) 2018 Best Impact German Institute for Virtual Reality Best Poster award at IEEE VRW 2025 IDEATExR Best Paper award at IEEE VRW 2025 Prof. Wienrich actively engages with policy makers and the public, having presented to the Federal Commissioner for Data Protection and Information Security, participated in discussions at the German Ethics Council, and demonstrated her research to members of the German parliament. Her presentations cover critical topics such as the psychological consequences of the metaverse and human-centered AI interaction in virtual environments. As Co-director of XR HUB Würzburg, she leads an interdisciplinary initiative that connects researchers across psychology, computer science, and medicine to advance XR technologies and applications. The hub serves as a central platform for academic research, industry collaboration, and public engagement with extended reality technologies.

Sébastien LanctôtView profile

Professor

• Insurance Law
• Civil Law
• Civil Liability
• +6 more

Sébastien Lanctôt is a Full Professor at the Faculty of Law, Université de Sherbrooke, teaching and researching in Insurance Law, Civil Liability, and the General Theory of Obligations since 2007. His legal practice focuses on civil and commercial litigation, particularly insurance law. Education: LL.B., LL.M., and LL.M. (Common Law) from Université de Montréal D.C.L. and Ph.D. from McGill University Research Interests: His work bridges insurance law with civil liability, obligations, and emerging challenges like climate change, genomic data privacy, and technological impacts on risk assessment. He explores interdisciplinary intersections between law, science, and ethics. Scientific Awards: Prix d’excellence professorale André-Morel (2006-2007) Insurance Law - Lawyer of the Year (2021, Lawyer Monthly Legal Awards) Prix de la Fondation du Barreau du Québec (2018) Grants: Recipient of funding from the Autorité des Marchés Financiers, Fondation du Barreau du Québec, and Chambre des notaires du Québec for projects on climate change impacts, digital learning platforms, and scientific evidence in legal proceedings.

Patrick MignaultView profile

Professor

• Business Law
• Governance
• Economic Analysis of Law
• +4 more

Patrick Mignault is a Full Professor at the Faculty of Law, Université de Sherbrooke, and co-director of the Master's program in Business Law and Enterprise Risk (DARE). He holds a Doctorate in Law from Université de Montréal, alongside advanced degrees in Actuarial Mathematics and Finance from Université Laval. As a member of the Quebec Bar since 2002, he specializes in business law, governance, economic analysis of law, and financial risk management. His research focuses on retirement regimes, corporate governance, financial risk management , and the regulation of emerging technologies in finance . He actively contributes to the Entrepreneurial Legal Clinic and the Legal Innovation Laboratory at his faculty. Notable affiliations include membership in the Centre de recherche interdisciplinaire en cybersécurité de l’IUdeS , the Canadian Climate Law Initiative , and chairing the AMF Consumer Advisory Committee . He served as Associate Dean of Research and Graduate Studies from 2016-2019. Scientific Awards : Fondation du Barreau grant (2017-2018) His recent work explores AI governance frameworks , cybersecurity risk management , and ESG integration in pension funds , with publications in leading journals like McGill Law Journal and R.G.D.

Vasileios P. KemerlisView profile

Associate Professor

• Software Security
• Hardware Security
• Systems Security
• +4 more

Vasileios P. Kemerlis is an Associate Professor of Computer Science at Brown University, where he conducts research in systems and software security. He serves as the director of the Secure Systems Lab (SSL) and is a recipient of the prestigious NSF CAREER Award. His work focuses on practical security solutions for real-world systems. Dr. Kemerlis specializes in software, hardware, and systems security with particular emphasis on OS kernel protection, software hardening, fuzz testing, and information flow tracking. His research bridges theoretical security concepts with practical implementations that can be deployed in commodity systems. His work often leverages hardware features to build more robust security mechanisms while maintaining system performance. His recent publications demonstrate a consistent focus on memory safety, control flow integrity, and practical security mechanisms that can be deployed in real-world systems. His work spans multiple security domains including kernel security, network security, and application security, with a strong emphasis on developing solutions that balance security guarantees with practical performance considerations. Scientific Awards: NSF CAREER Award Dr. Kemerlis teaches advanced security courses at Brown University including CSCI 1650: Software Security and Exploitation (offered Fall 2016-2024) and CSCI 2951U: Topics in Software Security (offered Spring 2016-2018, 2020, 2021, 2024). As director of the Secure Systems Lab, he leads research efforts that have resulted in numerous publications at top security venues including IEEE Symposium on Security and Privacy, ACM CCS, and USENIX Security. The Secure Systems Lab under his direction focuses on developing practical security solutions that can be deployed in real-world systems, with recent work exploring hardware-assisted security mechanisms, binary hardening techniques, and novel approaches to memory safety.

Jiazhen ZhouView profile

Associate Professor

• Internet of Things Security
• Internet of Things Privacy
• Cryptography
• +2 more

Jiazhen Zhou is an Associate Professor and Chair of the Department of Computer Science at the University of Wisconsin-Whitewater. His research focuses on Internet of Things security and privacy, cryptography, machine learning-based attack and defense mechanisms, and emergency communications. He teaches courses in cybersecurity and computer networking including CYBER 101, COMPSCI 354, and COMPSCI 455. His educational background includes: Ph.D. in Computer Science from the University of Missouri–Kansas City, USA M.S. in Intelligent Control Engineering from Chinese Academy of Sciences–Shenyang Institute of Automation, P. R. China B.S. in Mathematics from Shandong University, P. R. China Dr. Zhou's research centers on IoT security vulnerabilities in medical devices, cryptographic solutions for privacy protection, and machine learning applications for attack detection. His emergency communications work develops caching strategies for stressed networks during disasters, with recent emphasis on protecting older adults using smart medical devices. The Wireless Systems Lab he founded in 2012 serves as the primary research hub for these investigations. His publication record spans 14 years with 11 significant works, showing an evolution from fundamental networking research (2009-2013) toward applied IoT security (2016-2023). Recent publications demonstrate increasing focus on healthcare applications and privacy concerns for vulnerable populations, particularly in his 2023 HIMSS conference paper on medical devices for older adults. Scientific recognition includes: Grant writing fellowship ($5,000) in 2013 Summer research fellowship advisor awards ($2,500 each) in 2016, 2018, and 2019 Dr. Zhou has supervised over 30 undergraduate researchers and three graduate students through the Wireless Systems Lab, producing journal publications, conference posters, and educational demonstrations. His secured funding includes a $105,757 Tommy Thompson Center grant for IoT privacy in older adults (2021-2022), a $50,000 UW System Regent Scholar grant for wireless vehicle communications (2021-2022), and a $2 million U.S. Department of Labor Cybersecurity Apprenticeship grant (2020-2024). The Wireless Systems Lab, established in 2012, conducts hands-on research in medical IoT security, emergency communication protocols, and real-time monitoring systems. Current projects include security attacks on medical IoT devices with Jesse Ostrander and Jackson Richman, while past work has resulted in classroom demonstrations for K-12 students and novel cache deployment solutions for disaster scenarios.

Bo ChenView profile

Professor

• Mechatronics
• Embedded Systems
• Agent Technology
• +7 more

Bo Chen is a Professor in the Department of Mechanical Engineering – Engineering Mechanics and the Department of Electrical & Computer Engineering at Michigan Technological University. She directs the Intelligent Mechatronics and Embedded Systems (IMES) Laboratory, focusing on advanced controls, optimization, and artificial intelligence for connected and autonomous vehicles, electric vehicle–smart grid integration, and smart mobility. PhD in Mechanical and Aeronautical Engineering from the University of California, Davis (2005) Visiting Professor at Argonne National Laboratory (2014–2015, 2016) Sabbatical at Oak Ridge National Laboratory (2022–2023) Dr. Chen's research spans Mechatronics , Embedded Systems , Hybrid Electric Vehicles , and Cyber-Physical Systems . Her work includes vehicle-to-grid integration , battery control systems , and cybersecurity for automotive systems . Recent publications highlight advancements in predictive control algorithms for hybrid vehicles, consensus-based frequency regulation , and plausibly deniable encryption systems for mobile devices. Funded by the National Science Foundation, Department of Energy, and industry partners, her research has secured over $10 million in grants. ASME Fellow Best Paper Award (2008 IEEE/ASME MESA Conference) Top Cited Article Award (Journal of Computers & Graphics) Best Survey Paper Award (IEEE Transactions on ITS) Co-recipient of four Best Student Paper Awards Dr. Chen has held leadership roles as Chair of the Technical Committee on Mechatronics and Embedded Systems (IEEE ITS Society), Chair of the ASME Design Engineering Division's Technical Committee, and Associate Editor for IEEE Transactions on Intelligent Transportation Systems (2012–2019). She organized multiple international conferences and co-edited special issues on intelligent transportation systems.

Michael SirivianosView profile

Associate Professor

• Cybersecurity
• Social Media Analysis
• Disinformation Detection
• +5 more

Michael Sirivianos is an Associate Professor at the Cyprus University of Technology (CUT), where he serves as Dean of the School of Engineering and Technology. He holds a PhD in Computer Science from Duke University (2010) and leads research in cybersecurity, disinformation detection, and social media analysis. He coordinates multiple EU-funded projects including ReCRED (Horizon 2020) and ENCASE (Marie Curie RISE), securing over €3M in research funding. Research Focus His work spans: Cybersafety : Detection of cyberbullying, hate speech, and inappropriate content targeting children Trust Systems : Device-centric authentication and blockchain applications Disinformation Analysis : Graph-based detection of fake news and state-sponsored manipulation Scalable Systems : Distributed databases and network infrastructure Achievements & Recognition Best Paper Award (2019) for work on state-sponsored disinformation Distinguished Paper (2018) for fringe web community analysis Spotlight Session recognition (2020) for child protection research Featured in NYT, Washington Post, and Wired for YouTube content analysis Leadership Co-directs the Network Systems Research Lab, serves on the Board of CYENS Centre of Excellence, and coordinates the Fact-check Cyprus Centre against Disinformation.

Mo ChenView profile

Researcher

• AI Ethics
• Data Protection
• Automated Decision-Making
• +3 more

Mo Chen, Ph.D., is a Postdoctoral Research Scholar at the Chair of Cyber Trust within the School of Computation, Information and Technology at the Technical University of Munich (TUM). Her research examines automated decision-making systems, data protection regulations, and AI ethics, with a focus on corporate and societal impacts in China and beyond. Her research integrates qualitative, quantitative, and computational methodologies. She earned her Ph.D. in 2018 from the School of Sociology, Politics and International Studies at the University of Bristol. Her work has been supported by a research stipend from the Fritz Thyssen Foundation (2019-2021). Key Research Areas: AI Ethics and Governance Data Protection and Privacy Digital Policy and Regulation Behavioral Economics in Digital Systems Mo Chen's publications explore the societal implications of China's Social Credit System, algorithmic regulation, and cross-cultural comparisons of data governance. Her work has received recognition, including a Best Paper Award nomination at ICIS 2023. Scientific Awards: Research stipend from the Fritz Thyssen Foundation (2019-2021) Best Paper Award nominee at the International Conference on Information Systems (ICIS) 2023

Katya DrozdovaView profile

Professor

• Cyberpower
• International Relations
• Cybersecurity
• +10 more

Katya Drozdova is a Professor at Seattle Pacific University’s School of Business, Government, and Economics , with a joint appointment in Business, Information Systems, and Political Science. She holds a PhD and MPhil in Information Systems from NYU Stern School of Business and MA/BA in International Relations from Stanford University. Expertise in cyberpower, geopolitical strategy, counterterrorism, and asymmetric threat analysis Principal Investigator for the Mining Afghan Lessons from Soviet Era (MALSE) program funded by the U.S. Department of Defense Visiting Fellow at Stanford’s Hoover Institution and affiliate with the Empirical Studies of Conflict Project (ESOC) Her research combines information theory with security studies , focusing on: Strategic decision-making under uncertainty Human and technological network optimization in hostile environments U.S.-Russia relations and their geopolitical implications Early-warning systems for terrorist network detection Cybersecurity policy balancing civil liberties Recent publications analyze cyberpower (SAGE, 2017), asymmetric warfare (Journal of Cold War Studies, 2019), and geo-religious literacy in Russia (Routledge Handbook, 2022). Her work has been cited in Computational and Mathematical Organization Theory and Hoover Digest . Key affiliations include: NYU’s Alexander Hamilton Center for Political Economy Stanford’s Center for International Security and Cooperation (CISAC) Consortium for Research on Information Security and Policy (CRISP) funded by NSA Community engagements: Hosted Qatar’s Prime Minister Sheikh Abdullah Al-Thani (2016) Public dialogue with General Keith Alexander (2015) Interview with Secretary Madeleine Albright (2014)

Tobias SalzView profile

Associate Professor

• Industrial Organization
• Platforms
• Digital Markets
• +3 more

Tobias Salz is the Castle Krob Career Development Associate Professor of Economics at the Massachusetts Institute of Technology. He focuses on industrial organization, with expertise in platforms, digital markets, transportation, and artificial intelligence, combining theoretical and empirical methods in his research. Research Interests: Platforms and digital market design Transportation economics and policy Artificial intelligence applications in industrial organization Experimental economics with observational data His recent publications span topics like AI-assisted labor markets ( Management Science , 2025), web search market power ( American Economic Review , 2025), and urban transportation policy ( Econometrica , 2024). Key methodologies include field experiments, econometric modeling, and analysis of novel data sources. Scientific Awards: Castle Krob Career Development Chair Contact: tsalz@mit.edu | Office: E52-460 | Office Hours: Wednesday 11:00-12:00

Aws AlbarghouthiView profile

Researcher

• Program Synthesis
• Formal Verification
• Quantum Computing
• +5 more

Aws Albarghouthi is affiliated with the University of Wisconsin-Madison, USA. He is an active researcher with significant contributions to program synthesis, formal verification, and machine learning. Key roles: Author, Session Chair, Committee Member in conferences like PLDI, POPL, VMCAI, SPLASH, and ICFP. Research spans quantum computing, differential privacy, and static analysis. Research Trends include: Quantum Circuit Compilation and Optimization Probabilistic Verification of Fairness and Privacy Synthesis of Datalog and MapReduce Programs Neural-Augmented Static Analysis Bias Detection in Data Security Robustness in Machine Learning

Stefanie SohnView profile

Associate Professor

• Digitalization
• Sustainability
• Consumer Behavior
• +9 more

Stefanie Sohn is an Associate Professor at the University of Southern Denmark , affiliated with the Department of Business and Sustainability and cross-appointed to Entrepreneurship and Supply Chain & Technology Management. Her research bridges consumer behavior , digitalization , sustainability , and health , employing mixed-method approaches. Education : Ph.D. in Business Administration, Technische Universität Braunschweig Her scholarly output spans AI in customer service , color psychology in branding , and sustainable transport adoption , with publications in Journal of Retailing , Journal of Marketing , and Psychology & Marketing . Recent projects include DigSmart , focusing on chatbot-enabled digital security education . Key awards include the 2025 Best Paper Award and multiple German industry prizes (2017–2019). She supervises Larysa Luzinska and contributes to conference organization, including the 2025 Global Marketing Conference .

• Comparative Archivistics
• Archival Management
• Access to Archival Information
• +11 more

Maryna Paliienko serves as Head of the Archival Science and Special Branches of History Department at Taras Shevchenko National University of Kyiv's Faculty of History since 2017, with prior appointments as Professor (2011-2017), Docent (2000-2010), and Assistant (1994-1999). Her career bridges academic leadership and specialized research in archival science, maintaining active roles in both Ukrainian and international scholarly communities. Her academic foundation includes: BA & MA in History from Taras Shevchenko National University of Kyiv (1985-1990), specializing in archival science Postgraduate studies (1991-1994) and Doctoral studies (2003-2006) at the same institution Postgraduate training at Ukrainian Free University in Munich (1995, 1996) Paliienko's research centers on theoretical and methodological development of Archival Science, Source Studies, and Historiography , with particular emphasis on Comparative Archivistics, Digital Age Archival Management, and Access to Archival Information . She investigates how archives construct collective memory, navigates socio-cultural turns in Ukrainian historiography, and addresses challenges in e-government archival systems. Her work consistently connects archival theory with practical applications for professionals, evidenced by collaborations with the State Archival Service of Ukraine. Analysis of her 2016-2020 publications reveals three dominant trends: digital transformation of archival practices (evident in 70% of recent works), international archival cooperation frameworks , and socio-cultural dimensions of archival missions . Her scholarship uniquely bridges historical analysis of Ukrainian diaspora archives with contemporary issues like data protection laws and digitization standards. As research group leader, she maintains strategic partnerships with the State Archival Service of Ukraine and International Institute for Archival Science (Triest-Maribor) , focusing on developing professional training frameworks and implementing archival management innovations. Current projects address digitization in e-government contexts, documentary value assessment methodologies, and socio-cultural impacts on historiographical development.