Vahid Behzadan is an Assistant Professor in Data Science and Computer Science at the University of New Haven's Tagliatela College of Engineering. He leads the SAIL Lab, focusing on AI safety and security, particularly in autonomous systems like driverless cars and smart cities. His work addresses adversarial attacks on machine learning and reinforcement learning, with applications in cybersecurity and healthcare. Behzadan has held prior positions at Kansas State University, University of Nevada Reno, and University of Birmingham, UK. He holds a Ph.D. in Computer Science and an M.S. from the University of Nevada Reno, and a B.Eng. from the University of Birmingham. His research spans AI ethics, cybersecurity, and complex systems. Behzadan advises the UNH hacking team and actively participates in policy initiatives, including Connecticut's AI Working Group and the Connecticut AI Alliance. He has contributed to over 30 peer-reviewed articles and frequently engages in media discussions on topics like AI safety, facial recognition, and cybersecurity threats. Key research areas include adversarial machine learning, AI forensics, and ethical AI design. His work bridges theoretical advancements with real-world applications in transportation, healthcare, and national security. Behzadan collaborates with organizations such as the Transportation Research Laboratory (TRL) and Open Web Application Security Project (OWASP).
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.
Zheng Yang is a Professor at Tsinghua University's School of Software, with significant research contributions in cryptography, cybersecurity, and privacy-preserving systems. His work spans multiple institutions including collaborations with University of Helsinki's Secure System Group and Chongqing University of Technology. He maintains active research in both theoretical and applied security domains, with particular focus on industrial applications. Professor Yang's research interests center on cryptographic protocols, authentication mechanisms, and security for emerging technologies. His work addresses critical challenges in Cyber-Physical Systems security, Industrial Internet of Things protection, and privacy-preserving computation. He has made significant contributions to secure key exchange protocols, authentication systems, and defenses against sophisticated network attacks including DDoS mitigation strategies. His research bridges theoretical cryptography with practical implementations for resource-constrained environments. Analysis of Professor Yang's recent publications reveals a strong trend toward practical security solutions for industrial and embedded systems. His work increasingly focuses on balancing security with performance constraints in Cyber-Physical Systems and Industrial IoT environments. Key research themes include lightweight cryptography for resource-constrained devices, privacy-preserving location services, and novel authentication mechanisms that maintain security while minimizing computational overhead. His publications demonstrate consistent innovation in adapting cryptographic techniques to real-world security challenges. Professor Yang has established himself as a leading researcher through his extensive publication record in top security venues including IEEE Security & Privacy, USENIX Security, and ACM conferences. His work has been published consistently in high-impact journals and conferences, demonstrating sustained research productivity and influence in the security community. Professor Yang maintains active research collaborations with numerous institutions globally, evidenced by his extensive co-authorship network. His research has attracted significant funding for projects addressing critical security challenges in emerging technologies. His work on secure authentication protocols and privacy-preserving systems has practical applications across multiple industry sectors. Professor Yang leads research initiatives focused on secure Cyber-Physical Systems and Industrial IoT security. His laboratory work emphasizes practical implementations of cryptographic protocols for real-world systems, with particular attention to performance constraints in embedded environments. Current research directions include secure communication for programmable logic controllers, privacy-preserving location services, and adaptive defenses against sophisticated network attacks.
Dr. Marc Ph. Stoecklin is a Principal Research Staff Member and head of the Security Research Department at IBM Research Europe in Zurich, Switzerland. He co-leads IBM's global research strategy on Quantum Safe Cryptography and Migration, focusing on cryptographic artifact identification and migration implementation. Previously, he directed Threat Management research, applying AI and automation to threat detection, investigation, and response. Education: PhD in Computer, Communication and Information Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland His research spans quantum safe cryptography, threat management, AI security, threat detection, identity management, cyber deception, big data analytics, and security visualization. He pioneered AI-powered security operations, contributing to Watson for Cyber Security and QRadar Advisor with Watson, and analyzes AI/quantum computing misuse in cyber attacks. His 2016-2020 publications emphasize advanced threat detection, malware analysis, and AI security, featuring evasive malware deactivation, threat intelligence computing, and neural network watermarking. These works bridge research and product development, directly influencing IBM security offerings. Dr. Stoecklin led IBM's Cognitive Cyber Security Intelligence group (2014-2019) and the Security Research Department since 2019. As tech lead for IBM's COVID-19 task force (2020-2022), he developed IBM Digital Health Pass, deployed in New York's Excelsior Pass with over 1 million passes issued in two months. He heads the Security Research Department at IBM Research Europe in Zurich and has been integral to the Global Security Analysis Lab (GSAL) and Cognitive Cyber Security Intelligence (CCSI) group at IBM T.J. Watson Research Center.
Kevin W. Hamlen is the Louis A. Beecherl, Jr. Distinguished Professor in the Department of Computer Science at the University of Texas at Dallas. He serves as Executive Director of UT Dallas' Cyber Security Research and Education Institute. His research focuses on language-based security , binary software hardening , cyberdeception , and formal program verification . He has received multiple grants from agencies like AFOSR, NSF, DARPA, and industry partners including Lockheed Martin and Intel. PhD and MS from Cornell University BS from Carnegie Mellon University His research explores automated approaches to software security through techniques like binary disassembly , control-flow integrity , and honey-patching . He has pioneered methods for malware defense and cloud/web/mobile security . Recent work examines adaptive cyberdeception and GPU-based security frameworks . His publications span binary code manipulation , malware mitigation , and blockchain security . Key awards include the NSF IUCRC Technology Breakthrough Award and two CSAW Best Paper 2nd Prizes . He advises numerous PhD students, many of whom now work at Google, IBM, and Microsoft. His book Autonomous Cyber Deception (Springer, 2019) with Ehab Al-Shaer and Cliff Wang provides comprehensive coverage of adaptive cyberdeception strategies.
Emmanouil Vasilomanolakis is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). He specializes in Cybersecurity Engineering, focusing on areas such as honeypot technology, cyber deception, IoT/OT security, and network security. His research contributes to the UN Sustainable Development Goals related to innovation and infrastructure. His research interests include: Cyber deception techniques and honeypot design for detecting and mitigating cyber attacks Security of Internet of Things (IoT) and Operational Technology (OT) devices, particularly their exposure to cyber threats Analysis of botnets and cybercrime activities on darkweb markets Social engineering attacks and human aspects of cybersecurity Development of tools for vulnerability analysis and network traffic monitoring His recent publications explore advanced cyber-deception strategies, the security of exposed IoT/OT devices, and the analysis of cybercrime activities. Key areas include device identification, vulnerability detection in industrial systems, and the impact of social engineering in cybersecurity. He currently supervises several PhD students including Kasper Elzer, António Cordeiro Urbano, Aigerim Safargalieva, Davide Maddaloni, and collaborates on projects like "Advanced cyber-deception techniques" and "Defending legacy and modern networks with cyber-deception". His research is supported by grants focused on collaborative security and deception-based defenses. He is part of research teams developing honeypot technologies and cyber deception frameworks, contributing to datasets like the hybrid IoT/OT honeypot collection.
Dr. Yongyu Zeng is a Lecturer in Criminology at the Law School, Lancaster University, within the Faculty of Arts and Social Sciences (FASS). Her research focuses on white-collar crime, organized financial crimes (e.g., financial market abuse, money laundering, cyber fraud), and methodological approaches like crime script analysis and social network analysis. She has held research positions at Manchester Metropolitan University, NASDAQ, the Partnership for Conflict, Crime and Security Research (PaCCS), and the University of Manchester. Education: PhD in Criminology (university-funded, University of Manchester, 2020) MRes in Criminology (Distinction, University of Manchester) BA in Social Sciences (University of Manchester) Research Interests: Dr. Zeng examines the dynamics and organization of financial crimes, leveraging advanced analytical methods. Her work bridges theoretical criminology with practical crime prevention strategies, particularly in cybercrime and transnational contexts. Teaching: She instructs courses on crime data analysis, financial crime, organized crime, and illicit network analysis. Projects: Phase 1 of the Digital Identity and Life-Course Study (DIALCS) (2023) Affiliations: Member of the Security Lancaster (Policing) research group. Her work aligns with interdisciplinary efforts to address modern crime challenges.
Shahin Jabbari is an Assistant Professor in the Computer Science Department at the College of Computing & Informatics, Drexel University, where he is a member of the EconCS research group. His research lies at the intersection of machine learning, game theory, and algorithmic fairness, with a focus on ethical AI and its societal implications. Prior to Drexel, he was a CRCS postdoctoral fellow at Harvard University's School of Engineering and Applied Sciences, hosted by Milind Tambe, and affiliated with the EconCS group. Education: PhD in Computer and Information Science, University of Pennsylvania (2013–2019), advised by Michael Kearns Master's in Computing Science, University of Alberta, advised by Robert Holte and Sandra Zilles Bachelor's in Computer Engineering, Sharif University of Technology His research interests center on machine learning, algorithmic fairness, and game theory, particularly focusing on how AI systems can be designed to be more equitable, interpretable, and robust. He investigates ethical aspects of algorithmic decision-making, aiming to ensure AI technologies contribute positively to society. His work often integrates human behavior modeling and experimental validation, especially in cybersecurity and public health domains. His recent publications span top venues including ICML, NeurIPS, AAAI, AAMAS, PNAS, and TMLR. The research trends show a consistent focus on fairness in AI, explainability, robustness, and strategic interactions in complex systems. Topics include fair influence maximization, adaptive phishing training, cyber deception games, and ethical machine learning frameworks. These works reflect a multidisciplinary approach combining theoretical rigor with real-world applicability. Scientific Awards and Recognitions: Best Paper Finalist, AAMAS 2021 Best Paper, GameSec 2020 Spotlight Presentation, ICML 2021 Best Paper, KI 2012 Shahin Jabbari actively contributes to the academic community through advising, teaching, and service. He teaches graduate courses such as CS 589: Responsible Machine Learning and CS 590: Privacy. He has served on the senior program committees of ICML and NeurIPS, is an Action Editor for TMLR, and has reviewed for numerous top-tier conferences and journals. He mentors students through research projects and invites prospective PhD candidates to apply through Drexel’s formal channels. He is involved in the Drexel Computer Science Theory Reading Group and contributes to advancing responsible AI practices. He is affiliated with the EconCS group at Drexel, which focuses on economic and computational aspects of AI, including game theory, mechanism design, and multi-agent systems. His lab integrates tools from machine learning, behavioral modeling, and optimization to develop AI systems that are not only intelligent but also fair and trustworthy. Future work is expected to further explore human-AI collaboration, ethical AI deployment, and policy-aware algorithm design.
Marianne Junger is a Full Professor in the Department of Industrial Engineering & Business Information Systems. Her research focuses on cybercrime, ransomware, phishing, and cybersecurity policy. She has published extensively on topics such as attacker behavior in dark web forums, ransomware economics, and fraud victimization factors. Her work bridges criminology and cybersecurity, analyzing crime scripts, victim profiles, and law enforcement strategies. Key research interests include: Cybercriminal communication platforms Ransomware negotiation tactics and profitability Phishing adaptation during crises Victim reporting behavior and fraud awareness Cybercrime coordination models Recent articles analyze ransomware attack economics, dark web forum user behavior, and victim deception dynamics. Over 140+ publications span conference proceedings, journals, and datasets like the ransomware attack analysis in Zenodo. Active collaborations include global cybercrime studies and law enforcement intervention evaluations. Media contributions include discussions on European cybercrime prevalence. Her work informs cybersecurity policy through empirical social science frameworks.
Katarzyna Derlatka is an Assistant Professor in the Department of Recent History of Poland at the Faculty of Philosophy and History, University of Lodz. Holding a doctorate in military science, she specializes in the intersection of historical analysis and contemporary security issues. Her academic work bridges the historical perspective of Poland's recent past with modern security challenges facing nations today. Dr. Derlatka's research interests span security studies with particular focus on information security, crisis management, and communication strategies in defense contexts. She examines how propaganda and disinformation function as tools of modern warfare, analyzing both historical precedents and contemporary applications. Her work on crisis communication explores how governments and institutions can build societal resilience against information threats and hybrid warfare tactics. She investigates the role of media in shaping public perception during conflicts and emergencies, with particular attention to how digital platforms have transformed information warfare. Her publication record reveals a consistent trajectory examining security challenges through historical and contemporary lenses. Early works focused on crisis management fundamentals, while more recent publications address sophisticated topics like multidimensional disinformation in modern warfare and migration as a security threat. Her research demonstrates how historical events like Hurricane Katrina provide valuable lessons for contemporary crisis response, while her analysis of Syrian migration patterns reveals how humanitarian crises can be weaponized in geopolitical conflicts. Dr. Derlatka has supervised three theses, contributing to the development of new scholars in security studies. Her work connects academic research with practical security applications, particularly in the Polish context where historical memory intersects with current security concerns in Central and Eastern Europe.
Mark A. Stockman is an Associate Professor at the University of Cincinnati, specializing in cybersecurity, cloud computing, and system administration. He holds a BS in Industrial and Systems Engineering from Ohio University's Russ College of Engineering and Technology (1992) and an MBA in Management from Ohio University's College of Business (1994). His research focuses on integrating social science principles into cybersecurity education, developing cloud-based educational infrastructure, and analyzing cybercrime prevention strategies. Notable contributions include pioneering work on honeynet systems for hacker behavior analysis and organizational cybersecurity victimology frameworks. Stockman has published extensively on topics like insider threat mitigation, IT curriculum design, and virtualization technologies. His work bridges technical cybersecurity practices with organizational risk management, emphasizing interdisciplinary approaches to modern IT challenges. He has advised on multiple educational initiatives including cloud lab development and remote-access systems for computing disciplines. His publications reflect a commitment to advancing both technical and pedagogical innovations in information technology.
Dr. Craig Douglas Albert is a Professor of Political Science and Graduate Director of the PhD in Intelligence, Defense, and Cybersecurity Policy and the Master of Arts in Intelligence and Security Studies at Augusta University. His work bridges academic research and real-world policy, with expertise in global security threats and digital warfare. Education: PhD in Political Science and Government, University of Connecticut (2009) Master of Arts in Political Science and Government, University of Connecticut (2003) Bachelor of Arts in Political Science and Government, Augusta State University (2001) Research Focus: Dr. Albert's work centers on the evolving landscape of international conflict, with emphasis on: Information warfare tactics and propaganda dissemination across social media platforms Geopolitical implications of artificial intelligence in military and security operations Cybersecurity policy frameworks for major powers (US, China, Russia) Ethnic conflict dynamics and political philosophy in security contexts His research consistently examines how technology transforms traditional power structures and conflict mechanisms. Publication Trends: Recent works (2022-2024) demonstrate a strong focus on AI-driven information warfare, social media manipulation, and great-power competition. Over 60% of publications analyze technological impacts on security, while 30% address propaganda mechanics. Emerging themes include TikTok's national security risks, pandemic intelligence systems, and Middle Eastern disinformation campaigns. Media & Policy Engagement: Testified before US Congress Joint Subcommittee on Foreign Affairs Regular commentator for Fox News, Forbes, CTV Canada, VOA, and international outlets Council on Foreign Relations Higher Education Ambassador Advised US Army Cyber Center of Excellence workshops on AI threats Labs & Teams: Leads research initiatives on disinformation detection and cybersecurity policy through Augusta University's intelligence programs, collaborating with military cyber units on threat analysis.
Çiğdem AKMAN is an Associate Professor in the Department of Political Science and Public Administration at Mehmet Akif Ersoy University's Faculty of Economics and Administrative Sciences. With a doctorate in Finance from Suleyman Demirel University (2015), she maintains active scholarly engagement evidenced by publications extending to 2025 and an H-index of 11 with 430 citations on Google Scholar. Her research focuses on Public Administration, Local Governments, Local Government Finance, and Institutional Trust , with recent work increasingly examining digital transformation in governance. Key thematic areas include smart city applications, AI in public services, and municipal digitalization strategies, reflecting evolving research interests toward technology-driven governance solutions. AKMAN's publication portfolio demonstrates strong output in both Turkish national journals (TR DİZİN indexed) and international venues (SCI-Expanded, Q2 journals). Her collaborative work spans comparative studies of local governments across Middle Eastern and European contexts, with particular attention to Turkey's municipal systems and international affiliations. Recent publications reveal a pronounced shift toward digital governance topics since 2020, aligning with global trends in public administration research. While specific grant information isn't detailed in the provided text, her extensive publication record across books, journal articles, and conference proceedings suggests substantial research activity. Her editorial work includes co-editing "Local Governments and Their Financial Structures in the World" (2021), indicating leadership in scholarly communication within her field.
Tristan Volpe is an assistant professor at the U.S. Naval Postgraduate School (Defense Analysis Department) and a nonresident fellow in the Nuclear Policy Program at the Carnegie Endowment for International Peace. His work bridges nuclear proliferation , emerging technologies , and regional security dynamics in East Asia, Europe, and the Middle East. Education : Ph.D. in political science from George Washington University; B.A. in political science from UCLA. Research Focus : Explores how nuclear latency enables regional powers to extract concessions from superpowers, the impact of 3D printing on nuclear supply chains, and debates over nuclear options in NATO allies like Germany. Volpe’s recent publications analyze U.S.-South Korea nuclear bargaining, Saudi Arabia’s hedging against Iran, and the geopolitical implications of nuclear marketplace shifts. His nonproliferation work emphasizes incentive packages to dissuade allies from developing sensitive technologies. Awards : Stanton Nuclear Security Fellow (2015), Lawrence Scholar at LLNL (2013-2015). Consulting : Briefly advised the Bureau of International Security and Nonproliferation at the U.S. Department of State. Topics : AI, arms control, NATO, climate change, and global governance.
Damir Regvart is a lecturer at Algebra University of Applied Sciences , specializing in Cybersecurity , Network Protocols , and Cloud Computing . With a background in Electrical Engineering and a Master's in Electrical Engineering from the Faculty of Electrical Engineering and Computing in Zagreb (2002), he focuses on advanced network security protocols, Zero-touch technologies, and cloud infrastructure. Research Highlights : Zero Trust Architecture, Honeypot Deception Strategies, Machine Learning in Threat Detection, Microsoft Azure Security, and Infrastructure as Code hardening. Key Projects : Pan-European and national initiatives in network automation, cloud forensics, and IoT security. Recent Publications (2024-2025) explore cutting-edge topics like AI-driven security testing, forensic capabilities in cloud environments, and the intersection of SDN and cybersecurity. His work addresses vulnerabilities in cryptographic systems and the legal implications of digital signatures. Technology Focus : Zero-touch provisioning, Microsoft Sentinel automation, and RedFish/vSphere API integration.
