Klaus Wehrle is a Professor of Computer Science and Head of the Communication and Distributed Systems Group (Informatik 4) at RWTH Aachen University. He holds a diploma (1999) and doctorate (2002) from the University of Karlsruhe (now KIT). His research focuses on network protocols, cybersecurity, and distributed systems, funded by DFG, ERC, EU, and industry. He leads the DFG Priority Program on Cyber-Physical Networking and holds ERC grants. Awards include Südwestmetall and FZI Dissertation Prizes. He serves on IEEE, ACM, and DFG committees. His work spans protocol engineering, network simulation, and reliable communication software. He advises the Department of Computer Science at RWTH and collaborates on projects like In-Network Computing and Industrial IoT security. His research addresses industrial systems, smart grids, and privacy-preserving data sharing.
Yuyan Shi is an Associate Professor at the Herbert Wertheim School of Public Health & Human Longevity Science at UC San Diego. Her research focuses on health policy and economic analysis of drug use and abuse, including tobacco, cannabis, opioids, and other substances. She examines epidemiology and geographic patterns of drug use, policy evaluation, behavioral economics, and retail environment impacts. Dr. Shi specializes in econometrics, spatial analysis, and policy evaluation using population data. Research Funding: NIH R01DA053294 (2022–2027): Impact of cannabis tax structures NIH R01DA049730 (2020–2025): Behavioral economics of cannabis preferences TRDRP 27IR-0014 (2018–2021): Marijuana dispensaries and青少年 use NIH R01DA042290 (2017–2020): Neighborhood environment and cannabis use Research Interests: Dr. Shi investigates drug policy effects on vulnerable populations, including adolescents and marginalized groups. Her work explores policy interventions like taxation, packaging regulations, and decriminalization. She applies experimental methods (e.g., conjoint analysis) to assess preferences for drugs and policy responses. Notable topics include cannabis edibles' packaging, price elasticity of cannabis use, and secondhand smoke exposure impacts. Key Findings: Recent studies highlight declines in youth smoking despite e-cigarette prevalence, associations between cannabis packaging appeal and youth exposure, and racial disparities in cannabis arrests post-decriminalization. Her work informs evidence-based policies on substance use regulation and public health.
Milton Mueller is a Professor of Public Policy at the Jimmy and Rosalynn Carter School of Public Policy at Georgia Institute of Technology. He specializes in the political economy of digital technologies, focusing on global governance frameworks for the internet, cybersecurity, and policy related to domain names and telecommunications. Mueller holds a Ph.D. from the Annenberg School at the University of Pennsylvania (1989). His research explores the intersection of technological innovation and governance, emphasizing how governments, civil society, and private sector actors shape internet policies. Key areas include ICANN reforms, digital sovereignty debates, and the economic dynamics of internet infrastructure. He co-founded the Internet Governance Project (IGP), which analyzes global internet policies and engages in multilateral forums like the UN and ICANN. Mueller’s work bridges academic scholarship and practical policy influence. His books include *Networks and States* (2010), *Will the Internet Fragment?* (2017), and the upcoming *Declaring Independence in Cyberspace* (2025). His recent publications address AI governance, cybersecurity institutional design, and the geopolitical dimensions of digital trade. Notable contributions include analyses of IPv6 adoption economics, TLS 1.3 standardization debates, and the impact of deep packet inspection on net neutrality. He has advised on ICANN stewardship transitions, cybersecurity attribution mechanisms, and GDPR-compatibility issues in domain name systems. Mueller teaches courses on telecommunications policy, information security, and digital public policy. His lab, the Internet Governance Project, fosters interdisciplinary research and student engagement in global governance challenges.
Bram C.M. Cappers is a University Lecturer in the Department of Mathematics and Computer Science at Eindhoven University of Technology. His work focuses on visual analytics, cybersecurity, and predictive analytics applied to dynamic heterogeneous networks. He holds a Master’s (2014) and PhD (2018) in Computer Science from TU/e, with doctoral research on security visual analytics for cyber threat analysis. Education: Bachelor in Software, Algorithms, Control Systems (Eindhoven University of Technology, 2012) Master in Software, Algorithms, Control Systems (Eindhoven University of Technology, 2014) PhD in Computer Graphics (Interactive Visualization of Event Logs for Cybersecurity, 2018) Research Interests: Developing predictive models for energy networks, visual analytics tools for cybersecurity incident response, and anomaly detection in complex systems. His work extends to applying these techniques in healthcare, finance, and energy sectors through startups like CodeNext21 and TIBO Energy. Key Contributions: Eventpad: Award-winning visual analytics framework for malware analysis and network intrusion detection Predictive analytics for VoIP fraud prevention (KPN partnership) Co-founder of two ventures commercializing academic research Awards: ICT.Open Award (2018) for traffic data anomaly detection Elsevier’s 30 onder de 30 (2020) for innovation leadership European Venture Program Best Executive Summary (2018) Grants & Activities: Received €150K Demonstrator grant (2018) Contributed to SECREDAS EU project (2018-2021) Speaker at Blackhat USA 2018 and multiple invited talks on cybersecurity
Professor Andrei Gurtov is a Full Professor at the Department of Computer and Information Science (IDA) at Linköping University (LiU). He holds adjunct professorships at Aalto University, University of Oulu, and University of Helsinki. His research focuses on network security, industrial internet, 5G/6G technologies, and cybersecurity in transport systems. He leads the AEGIS research group and is part of the Wallenberg AI, Autonomous Systems, and Software Program (WASP). Education: M.Sc. (University of Helsinki, 2000), Ph.D. (University of Helsinki/ICSI Berkeley, 2004). He has served as Head of the Secure Systems educational profile at IDA and on LiU's Departmental Board. His academic roles include IEEE Sweden Chair and Board member. Research highlights include work on secure drone communication (IETF DRIP), 6G security whitepapers, and cybersecurity for aviation systems. He has authored over 20 books and 264 publications, with notable works in IEEE and ACM journals. Awards include ACM Distinguished Scientist (2015), IEEE Distinguished Lecturer (2016-2019), and recognition in top 2% of global scientists (Stanford University). Teaching responsibilities include courses on computer networks and information security. He advises over 30 PhD students and leads projects on cyber-resilient air traffic management (SEC-AIRSPACE) and secure autonomous systems (DYNACON).
Vaggelis Giannikas is a Professor of Management Information, Decisions & Operations at the University of Bath, where he also serves as Director of the Centre for Smart Warehousing and Logistics Systems and Director of Studies for the MSc in Operations, Logistics, and Supply Chain Management. His research focuses on the adoption and evaluation of emerging technologies in supply chain and logistics operations, with particular emphasis on digitalization, robotics, and automation in manufacturing and warehouse environments. Giannikas holds a PhD in Operations Management and Technology from the University of Cambridge (2010–2014). His work aligns with UN Sustainable Development Goals, contributing to sustainable urban freight logistics and resilient supply chain practices. He leads multiple projects funded by Innovate UK and the Engineering and Physical Sciences Research Council (EPSRC), including Logidot AI Assistant for Enhanced AI Competency in Logistics and Made Smarter Innovation: People-Led Digitalisation. His research interests span technology implementation challenges, warehouse automation, human-robot collaboration, and dynamic inventory optimization. He actively supervises doctoral students exploring digital technologies in logistics and supply chain management. Key areas of exploration include last-mile delivery efficiency, robotic adoption in SMEs, and stochastic programming for production resilience under disruptions. Giannikas collaborates widely with industry partners, focusing on practical applications such as AMR-assisted picking systems, urban micro-fulfillment centers, and dark store operations. His work bridges academic research with real-world logistics challenges, emphasizing both technological innovation and human-centric design in digital transformation initiatives.
Azliyana Azhari is a Lecturer at the Malaysia School of Arts & Social Sciences, Monash University Malaysia. She holds a PhD in Environment and Development from Universiti Kebangsaan Malaysia (2018) and an MSc in Technology Management from Universiti Tun Hussein Onn Malaysia (2012). Her expertise spans climate change communication, public health impacts, and sustainable development. She leads and collaborates on projects addressing climate change adaptation in Malaysia and Indonesia, including WHO-funded research on climate health methods and a National Planetary Health Action Plan survey. Her research focuses on understanding public perception of climate change, health impacts, and policy gaps. Key projects include advancing climate communication frameworks and assessing adaptive capacity in the Asia-Pacific. She actively participates in international conferences and workshops, such as the IAMCR Conference 2023 and the International Conference on Climate Change 2024. Media engagements include commentaries on sea level rise, air quality indices, and indigenous communities' climate resilience. Her 16+ publications span climate literacy surveys, health impact reviews, and environmental policy analyses. She accepts PhD students and emphasizes interdisciplinary approaches combining social sciences with environmental science to address global challenges aligned with UN Sustainable Development Goals.
Xin Liu is an Adjunct Professor in the Department of Civil Engineering at the Faculty of Engineering. His research focuses on cybersecurity, machine learning applications, and IoT security, with a particular emphasis on network intrusion detection, data compression, and risk-aware access control systems. He holds a Ph.D. from the University of Ottawa, Canada, and M.Sc. and B.Sc. degrees from Hebei University of Technology, China. Education: Ph.D., University of Ottawa, Canada M.Sc., Hebei University of Technology, China B.Sc., Hebei University of Technology, China Research Interests: Dr. Liu's work bridges machine learning and cybersecurity, addressing challenges in IoT security, adversarial attacks, and network traffic analysis. His contributions include developing AI-driven intrusion detection systems, optimizing data compression techniques for IoT devices, and formulating risk-aware access control frameworks. Recent efforts focus on advanced persistent threats (APTs) and privacy leakage mitigation in language models. Articles Trends: His publications emphasize practical applications of machine learning in cybersecurity, including network attack detection, privacy-preserving methods, and resilient IoT infrastructure. Recent work highlights innovations in transformer-based models for intrusion detection and realistic benchmarking for APT simulations. Awards: No scientific awards explicitly mentioned in the provided materials. Advising & Grants: No advising records or grant information available in the current data. Labs/Teams: No specific lab affiliations or collaborative teams noted in the profile.
Paria Shirani is an Assistant Professor and Tier 2 Canada Research Chair in Cybersecurity at the School of Electrical Engineering and Computer Science (EECS), University of Ottawa. She holds a PhD in Information Systems Engineering from Concordia University (FRQNT Doctoral Scholarship recipient) and completed an NSERC Postdoctoral Fellowship at Carnegie Mellon University (CMU). Her research focuses on cybersecurity, including IoT security, vulnerability detection, malware analysis, threat intelligence, and AI/ML applications. She leads funded projects across undergraduate, master’s, PhD, and postdoctoral levels, emphasizing equity, diversity, and inclusion (EDI). Research Highlights: Develops AI-driven solutions for IoT security and vulnerability detection. Pioneers binary code fingerprinting and firmware analysis techniques. Advances threat intelligence through machine learning and anomaly detection. Key awards include the NSERC Postdoctoral Fellowship, FRQNT Doctoral Scholarship, and the Tier 2 Canada Research Chair. Collaborations involve institutions like Concordia University, Carnegie Mellon University, and IBM’s Cyber Range. She actively serves on editorial boards (e.g., ACM Computing Surveys) and organizes conferences (e.g., SecureComm, PST).
Kartik Ariyur is a Lecturer in the Department of Mechanical Engineering at Purdue University, based remotely. His research focuses on autonomous systems, control systems, sensor technology, and energy systems. His work spans applications in robotics, navigation, and environmental sustainability. Key projects include improving UAV navigation accuracy, developing LiDAR-based traffic monitoring systems, and optimizing wireless networks through adaptive control techniques. Education details are not explicitly listed, but his publications suggest expertise in control systems, robotics, and interdisciplinary engineering. His research interests emphasize practical applications of advanced control theory in real-world systems, including autonomous vehicles and renewable energy systems. Recent publications highlight contributions to geolocation using celestial and magnetic sensing, multi-object tracking with LiDAR, and adaptive control algorithms for hypersonic vehicles. While no specific awards are listed, his extensive publication record reflects active engagement in cutting-edge engineering research. Advising and grants: No formal advisees are listed, but his research collaborations likely involve graduate students and interdisciplinary teams. His work aligns with initiatives in smart infrastructure, autonomous systems, and sustainable energy. No specific grants are mentioned, but his projects suggest funding from sources like the USDOT Regional University Transportation Center. Research activities include contributions to labs focused on autonomous systems, sensor networks, and control systems engineering. His work often integrates hardware and software solutions for real-world challenges in transportation and environmental monitoring.
Lan Wang is a Professor in the Department of Computer Science at the University of Memphis, temporarily assigned as a Program Director at the NSF. She holds a PhD in Computer Science from UCLA (2004). Her research focuses on Internet architecture, network security, and wireless sensor networks, with major grants from NSF, NIST, and DoD, including a $15M NSF-funded 'Named Data Networking' project. She has served as Department Chair (2016-2023) and is an IEEE Senior Member. Dr. Wang's research emphasizes scalable, reliable, and secure Internet infrastructure. She has pioneered advancements in named-data networking (NDN), including protocols for adaptive forwarding, secure access control, and efficient traffic management. Her work extends to applications in smart cities, public safety, and healthcare data sharing. She has received prestigious awards including the Willard R. Sparks Eminent Faculty Award (2022) and Dunavant Professorship (2021). Her teaching spans courses like Networking and Information Assurance, Advanced Computer Networks, and Wireless and Mobile Computing. She actively promotes gender diversity in CS, co-organizing events like the 'Networking Networking Women' panel at SIGCOMM. Her grants total over $15M, including NSF’s NDN project and university-funded initiatives. She advises the Women in Computing student chapter and has served on over 50 conference committees.
Konstantinos Zavitsas is a Senior Lecturer in the Business Analytics Department at Imperial College London's Business School. He holds a PhD in Operations Research and Transport from Imperial College, focusing on supply chain vulnerability analysis, particularly in global petroleum networks. His research interests include urban planning, transportation systems, logistics optimization, and smart cities. He has contributed to EU-funded projects addressing urban mobility, energy systems, and network design. Dr. Zavitsas' work spans interdisciplinary areas such as autonomous vehicle impacts, traffic emissions reduction, and infrastructure management. He has published extensively on transportation networks, smart city technologies, and energy supply chain resilience. Notable projects include case studies on Aegean ferry networks and Utrecht's pedestrian transit systems. His academic contributions highlight a blend of theoretical modeling and practical applications, including vulnerability assessments and optimization frameworks for road asset management. His research often integrates data analysis with policy implications, reflecting a commitment to real-world problem-solving.
Dr. Chris Agbonkhese is a Visiting Lecturer in Digital and Computational Studies at Bates College. He holds a BSc in Computer Science, an MSc in Computer Science, and a PhD in Information Systems. His research focuses on the intersection of Health Informatics and Data Analytics, employing machine learning and data mining to address challenges in healthcare. Dr. Agbonkhese’s work includes developing predictive models for drug reactions, clinical decision support systems, and optimization algorithms for variational inequality problems. Education Background: Bachelor of Science (BSc) in Computer Science Master of Science (MSc) in Computer Science Doctor of Philosophy (PhD) in Information Systems Research Interests: Leveraging machine learning for healthcare applications Health informatics and clinical decision support systems Optimization algorithms and numerical methods Data-driven approaches in medicine and urban planning Publications Trends: His work spans predictive modeling in healthcare, algorithm development for mathematical optimization, and interdisciplinary studies in law and technology. Recent contributions include a dataset for predicting judicial outcomes and smart city traffic algorithms. Awards: No scientific awards explicitly mentioned in the text. Advising & Grants: No specific advisees or grant details provided. Current focus is on teaching and research in digital/computational studies. Labs/Teams: No dedicated lab or team affiliations listed.
Cliff C. Zou is a Professor at the Department of Computer Science, University of Central Florida (UCF), and Program Coordinator for Master's degrees in Digital Forensics and Cyber Security and Privacy. He serves as a UCF Cybersecurity and Privacy Cluster member, Point-of-Contact for UCF CAE-CD/CAE-R designations, and leads the Data Systems Group. With a Ph.D. from University of Massachusetts, Amherst (2005), and B.S./M.S. from USTC, he has received numerous awards including the UCF-TIP Award (2013, 2024), Best Paper Awards, and Fellowships. Ph.D., Electrical & Computer Engineering, University of Massachusetts, Amherst (2005) M.S., Automation, University of Science & Technology of China (USTC) (1999) B.S., Automation, USTC (1996) His research spans Computer and Network Security , IoT Security , Blockchain Systems , Wireless Network Security , and Malware Analysis . Recent work focuses on adversarial machine learning, side-channel attacks, encrypted traffic classification, and secure IoT architectures. His publications (2025-2020) highlight trends in deep learning-based defense , WiFi fingerprinting , TrustZone security , and malware propagation . Scientific Awards: UCF Teaching Incentive Program (TIP) Award (2024, 2013) Best Paper Award (2023) Best Student Paper Award (ACSAC 2007) Guo Moruo Scholarship (USTC, 1996) Graduate Fellowships (University of Massachusetts, 1999-2001) Prof. Zou has advised 14 PhD graduates and numerous Master's/BS students, many now holding academic/industry roles. His funded projects include NSF grants (DGE-2325452, DGE-2042996, DGE-1723587, DGE-1915780), US Army PEO STRI collaborations, and Florida Center for Cybersecurity seed grants. He leads the cyberforensic.net educational platform and has contributed to free IoT security labs for professionals.
Dr. Clay Moltz is a Professor in the Department of National Security Affairs at the Naval Postgraduate School with a joint appointment in Space Systems. His research addresses space security, nuclear strategy, and regional security dynamics in East Asia and Russia. Publications include six books on space policy and security, with current work examining conflict risks in cislunar space. Leadership roles: Dean of the Graduate School of International and Defense Studies (2020-2022) Chairman, Department of National Security Affairs (2018-2020) Director of Center on Contemporary Conflict (2012-2016) Awards include: David Williams Outstanding Professor Award (2023) Carl E. and Jesse W. Menneken Award (2015) Richard W. Hamming Interdisciplinary Achievement Award (2010) Publications focus on space governance, commercial space developments, and nuclear proliferation, with recent collaborative work applying artificial intelligence to security challenges.
