جست‌وجوی استاد و پژوهشگر

• Cyber Security
• Network Security
• IoT Security
• +۳ مورد دیگر

Dr. Vasileios Vasilakis is a Senior Lecturer in Cyber Security at the University of York's Department of Computer Science. He holds a PhD in Electrical & Computer Engineering from the University of Patras, Greece. His research focuses on IoT Security, Mobile Network Security, and SDN Security, with contributions to projects like the EC H2020 SESAME and RIFE initiatives. He has supervised numerous PhD students and contributed to academic service roles such as Guest Editor in IEICE Transactions and Program Committee member for IEEE ICC and GLOBECOM. His work spans secure systems design, network protocols, and cybersecurity defenses, with recent publications addressing SDN-based intrusion detection, IoT attack mitigation, and ransomware analysis. Affiliations: York Interdisciplinary Centre for Cyber Security (YiCS), University of York Education: PhD in Electrical & Computer Engineering (University of Patras, 2011) Research Interests His research emphasizes practical cybersecurity solutions for modern networks, including: IoT Security: Developing authentication and intrusion detection mechanisms for RPL-based networks SDN/NFV Security: Designing defenses against ransomware and distributed attacks Wireless Network Security: Analyzing vulnerabilities in 5G and UAV communication systems Academic Contributions He has organized special sessions at IEEE conferences, co-authored over 120 publications, and reviewed PhD theses at multiple institutions. Current projects include secure edge computing in 5G networks and lightweight authentication schemes for IoT protocols like MQTT.

• Biometrics
• Biometric Systems
• Computer Vision
• +۵ مورد دیگر

Raul Sanchez Reillo is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on biometric systems, mobile authentication, and security technologies. Key areas include presentation attack detection, vein recognition, and ECG biometrics. He leads projects involving smartphone-based biometric solutions, 3D printed markers, and standards development for biometric interoperability. Research interests span multiple modalities: fingerprint authentication, dynamic signature verification, gait recognition, and vascular biometrics. He emphasizes usability and accessibility in mobile environments, exploring ergonomics and user interaction challenges. His work integrates machine learning (transformers, RNNs) with hardware solutions like FPGA-based systems. Publications highlight innovations in spoofing detection, medical applications (ECG/vein analysis), and low-cost hardware implementations. He contributes to European standards (BioAPI, Hand Data Interchange Format) and evaluates security practices for R&D compliance with EU data protection regulations. Current initiatives include enhancing biometric systems for critical infrastructure security and improving accessibility for elderly users. Active in interdisciplinary collaborations, he leads the Mobile Pass project evaluating user interaction in biometric systems. His lab (GUTI) develops open testing methodologies for biometric performance under Common Criteria and environmental stressors. Recent work addresses vulnerabilities in mobile fingerprint sensors and the ethical implications of biometric-as-a-service models.

Shahin Jabbariمشاهده پروفایل

استادیار

• Machine Learning
• Algorithmic Fairness
• Game Theory
• +۷ مورد دیگر

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.

• Control Theory
• Autonomous Systems
• Reinforcement Learning
• +۳ مورد دیگر

Dr. Cheng-Chew Lim is a Professor in the School of Electrical and Mechanical Engineering at the University of Adelaide. He specializes in control theory, autonomous systems, and multi-agent reinforcement learning. His research focuses on trusted autonomous systems, secure cyber-physical networks, and decentralized decision-making models. He has published over 300 articles and supervised 50+ PhD and master’s students. Dr. Lim teaches courses in control systems, autonomous systems, and engineering project management. He has held editorial roles, including Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics, and is actively involved in professional associations like the IEEE Control and Aerospace Electronic Systems Joint Chapter. His current projects include physics-informed neural networks for medical imaging, secure distributed autonomous systems, and resilient formation control under cyberattacks. Dr. Lim has secured research grants from ARC and industry partnerships, emphasizing practical applications in robotics, cybersecurity, and smart systems.

• Computer Security
• Hardware-Software Co-design
• Confidential Computing
• +۴ مورد دیگر

Frank Piessens is a Full Professor in the Department of Computer Science at KU Leuven's Faculty of Engineering Science, where he leads the Distributed and Secure Software (DistriNet) research group. His research focuses on cutting-edge security challenges at the hardware-software interface. His research interests span: Hardware-software co-design for end-to-end security Confidential computing architectures Microarchitectural side-channel mitigation Secure IoT development Compiler-based security mechanisms Control-flow integrity techniques Recent publications (2024-2025) demonstrate strong focus on: Hardware security cost/performance tradeoffs Processor-level security enhancements (RISC-V, high-end CPUs) IoT device lifecycle security Control-flow leakage prevention Microcontroller IP protection He currently supervises PhD students including M. Bognár and H. Winderix, and leads major research initiatives such as: Hardening confidential computing through vertically integrated system design (2025-2031) Designing secure hardware for software-exploitable attacks (2025-2029) Compiler-based mitigations for microarchitectural side-channels (2023-2027) Security Arms Race at the Hardware-Software Boundary (2020-2025)

William Akotoمشاهده پروفایل

استادیار

• Cyber Security
• International Relations
• Political Economy
• +۳ مورد دیگر

William Akoto is an Assistant Professor of Global Security in the Department of Foreign Policy & Global Security at the School of International Service, American University, and serves as Director of Research at the Center for Security, Innovation, and New Technology (CSINT). Previously, he taught at Fordham University, the University of South Carolina, and Nelson Mandela University in South Africa. Education: PhD in Political Science, University of South Carolina, 2019 Research Interests: Dr. Akoto's work centers on interstate cyber conflict dynamics , examining how states weaponize cyber capabilities for national security objectives. His research extends to the political economy of aid and trade , analyzing debt relief mechanisms and trade-sanction interactions, and military coups , investigating coup triggers and consequences through complex systems theory. He develops microfounded theoretical models to explore institutional and preference-based drivers of state behavior. Publication Trends: His 2020-2024 publications reveal a decisive shift toward cyber conflict research, with 80% of recent work focusing on state-sponsored cyber attacks, economic espionage, and cyber-proxy warfare. This builds on earlier expertise in trade-politics linkages (2013-2020), demonstrating consistent application of political economy frameworks across security domains. His methodology increasingly integrates complex systems science to analyze large-scale behavioral patterns. Scientific Awards: SIS Collaborative Research Award (June 2024) Outstanding Graduate Student Teacher Award (April 2019) Adam Smith Fellow, Mercatus Center (August 2016–July 2017) Thurmond-Atwater Fellowship (July 2015–May 2016) IAAR Research Fellow (August 2014–July 2015) Advising and Grants: Dr. Akoto has secured competitive research funding including the 2024 SIS Collaborative Research Award and Mercatus Center fellowship. His teaching excellence was recognized with the 2019 Outstanding Graduate Student Teacher Award. While specific advisees aren't documented, his course designs emphasize analytical skill development through constant feedback mechanisms, debate, and current events integration across undergraduate international relations curricula. Labs and Teams: As CSINT Director of Research, he leads interdisciplinary initiatives examining emerging technology-security intersections, with current focus on cyber warfare economics, satellite cybersecurity, and AI governance frameworks through structured collaboration between academic researchers and security practitioners.

Elinor Tsenمشاهده پروفایل

پژوهشگر ارشد

• Cyber Security
• Organizational Resilience
• Information Security
• +۳ مورد دیگر

Elinor Tsen is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. Her research focuses on organizational cyber resilience, cybersecurity practices, and governance frameworks within institutions. She holds a Doctoral (Research) of Business (Governance) from the School of Business, UQ (2023). Her work explores how organizations adopt mature cybersecurity measures and mitigate risks through resilience strategies. Notable contributions include a 15-year dataset on data breaches and ransomware attacks (2020) and a seminal study on organizational cyber resilience precursors (2022). Elinor is available for supervision, currently advising a PhD candidate applying situational crime prevention to cybersecurity. She actively publishes in peer-reviewed journals and contributes to interdisciplinary cybersecurity research.

Tao Hongمشاهده پروفایل

استاد

• Energy Forecasting
• Power Systems Operations
• Renewable Integration
• +۷ مورد دیگر

Dr. Tao Hong is the Duke Energy Distinguished Professor and NCEMC Faculty Fellow at the Department of Systems Engineering and Engineering Management, University of North Carolina at Charlotte. He directs the Big Data Energy Analytics Laboratory (BigDEAL) and has been a Founding Chair of the IEEE Working Group on Energy Forecasting (2011-2019). Ph.D., Electrical Engineering & Operations Research (2010), NC State University M.S., Operations Research & Industrial Engineering (2008), NC State University B.Eng., Automation (2005), Tsinghua University His research focuses on Energy Forecasting with applications in power systems operations, renewable integration, risk management, and cross-sector forecasting for healthcare, transportation, and sports. He has led major Delivery point level load analysis (2017-present) Short-term probabilistic forecasting (2016) Demand response modeling using smart meter data (2014-2015) Dr. Hong's scientific contributions include 9+ journal articles on energy forecasting methodologies and 3 major forecasting competitions (GEFCom2012-2017, BigDEAL Challenge 2022). His work has been cited in leading journals like International Journal of Forecasting and IEEE Transactions on Smart Grid . Charlotte Business Journal Energy Education Leader of the Year (2017) IEEE PES PSPI Technical Committee Prize Paper Award (2016) As a dedicated educator , Dr. Hong has advised multiple PhD and Master's students including Shreyashi Shukla (2023), Yike Li (2022), and Jordan McCorey (2021). He teaches specialized courses in energy systems planning and computational intelligence.

Guanpeng Liمشاهده پروفایل

استادیار

• High-Performance Computing (HPC) Fault Tolerance
• Lossy Compression for HPC Data Reduction
• Safety of Autonomous Driving Systems
• +۲ مورد دیگر

Guanpeng Li is an Assistant Professor in the Department of Computer Science at the University of Iowa since 2020. His research focuses on building dependable high-performance computing systems, with emphasis on fault tolerance, data reduction, and safety in autonomous systems. Ph.D., University of British Columbia (2019) Postdoc, University of Illinois Urbana-Champaign (2020) BASc, University of British Columbia (2014) Research interests include: HPC Fault Tolerance and Error Propagation Analysis Lossy Compression Techniques for Scientific Data Safety Assurance for Autonomous Driving Systems Dependability of Machine Learning Applications Recent publications reveal trends in GPU-based fault detection, error-bounded compression, and autonomous systems security. His team has contributed to IEEE/ACM SC, IPDPS, DSN, and ISSRE conferences. Scientific awards include: NSF CAREER Award (2025) IEEE TCHPC Early Career Researchers Award (2024) Multiple Best Paper Awards at SC, DSN, and ISSRE (2024-2018) IEEE Top Picks in Test and Reliability (2023, 2024) Guanpeng Li advises active PhD students and collaborates with institutions like the University of British Columbia and Intel. His work impacts real-time safety systems and deep learning frameworks.

Gary Dymskiمشاهده پروفایل

استاد

• Monetary Economics
• Macroeconomic Theory and Policy
• Banking and Financial Institutions
• +۱۱ مورد دیگر

Professor Gary Dymski is a faculty member at the Leeds University Business School , University of Leeds, where he holds the position of Professor of Applied Economics . He joined the institution in 2012 and is affiliated with the Applied Institute for Research in Economics . His academic journey includes prior positions at the University of Southern California and the University of California, Riverside, where he was promoted to full professor in 2000. PhD in Economics, University of Massachusetts, Amherst (1987) MPA in Public Budgeting, Maxwell School, Syracuse University (1977) BA in Urban Studies, University of Pennsylvania (1975) His research spans monetary economics, macroeconomic policy, banking, urban economics, inequality, and political economy . He integrates macroeconomic and financial theory with economic geography, focusing on spatial aspects of financial instability and inclusive urban development. His interdisciplinary work has led to collaborations across engineering, medicine, and social sciences. The 15 most recent articles reflect a strong focus on financial power, urban economic resilience, inequality in credit markets, and global financial crises . His work combines Post-Keynesian macroeconomic theory with real-world policy challenges, particularly in the UK, South Africa, and Latin America. Themes include the productivity paradox, financial exclusion, and the governance of financial institutions. His scientific recognition includes: Leo Model Research Fellow, Brookings Institution (1985–1986) He has supervised PhD students such as Alexandra Veronica Gonzalez-Navarro and Nabeel Sharif , and has secured major research grants through ESRC and EPSRC, including roles as co-investigator in the Self-Repairing Cities , Productivity Insights Network , and Rebuilding Macroeconomics projects. He has also contributed to policy through advisory roles at UNCTAD and local initiatives like Leeds ACTS. He co-led the University of Leeds' Cities research theme (2016–2019) and is involved in cross-campus initiatives including VIrtuocity , fostering interdisciplinary research on urban systems and smart cities.

• Cybersecurity
• Criminology
• Cybercrime Prevention
• +۳ مورد دیگر

Benoît Dupont is a Full Professor at the School of Criminology, Faculty of Arts and Sciences, Université de Montréal. He holds the Canada Research Chair in Cybersecurity and directs the Centre de Criminologie Comparée (CICC). His research focuses on the co-evolution of technology and crime, cybersecurity resilience, and international cybercrime governance. He leads major initiatives such as the Smart Cybersecurity Network (SERENE-RISC), fostering interdisciplinary collaboration between academia, industry, and law enforcement. Education: Ph.D. in Political Science from the Université des Sciences Sociales de Toulouse 1 (2001). Academic roles include Director of the Cybersecurity Resilience Lab (LC2) and membership in various research networks like CÉRIUM and CICC. Research interests span cybercrime ecosystems, digital trust mechanisms, and the impact of technology on policing strategies. Notable contributions include studies on dark web operations, cyber-resilience practices, and polycentric governance frameworks for cyber threats. Key awards include the Prix Beccaria (2011) for criminological research and the Francopol Prize (2010) for combating cybercrime. He has supervised over 20 graduate students, many of whom focus on cybercrime prevention and digital forensics. Grants and partnerships include funding from NSERC, SSHRC, and the Canadian Cyber Threat Exchange. He collaborates internationally, including with Griffith University’s Centre of Excellence for Policing and Security in Australia. Labs/Teams: Directs the CICC and co-leads the Human-Centric Cybersecurity Partnership, emphasizing interdisciplinary cyber-resilience solutions.

• Unmanned Aerial Vehicles (UAVs)
• Field Programmable Gate Arrays (FPGAs)
• Computational Fluid Dynamics
• +۶ مورد دیگر

Ramazan Yeniçeri is a Lecturer at Istanbul Technical University's Department of Aeronautical Engineering. His research focuses on Unmanned Aerial Vehicles (UAVs), Field Programmable Gate Arrays (FPGAs), and computational fluid dynamics, with applications in hardware acceleration and autonomous flight systems. Academic Rank: Lecturer University: Istanbul Technical University Department: Aeronautical Engineering Research Interests: Yeniçeri's work bridges aerospace engineering and computer science, emphasizing: FPGA-based hardware acceleration for aerospace systems UAV communication networks (FANETs) and formation flight Dynamical modeling for 6-DoF systems Autopilot software and real-time operating systems Scientific Awards: He has received the BOEING Academic Work Encouragement Award (2017) and the Best Doctoral Thesis Award (2015) . Project Leadership: As Principal Investigator (PI), he leads projects like: "IHA Kayıt, Takip, Kontrol ve Hava Trafik Yönetim Sistemi" (2024–2025) "FPGA Tabanlı 6DoF Dinamik Hızlandırıcı Tasarımı" (2024) "EU Sürü İHA" (2020–2022) His recent publications highlight trends in UAV communication, FPGA acceleration, and multi-sensor tracking.

Melanie Volkamerمشاهده پروفایل

استاد

• IT Security
• Privacy Protection
• Human-Centered Security Design
• +۵ مورد دیگر

Professor Melanie Volkamer is a leading computer scientist at the Karlsruhe Institute of Technology (KIT), where she heads the SECUSO (Security, Usability, Society) research group within the Institute for Applied Informatics and Formal Description Methods at the Faculty of Business and Economics. She moved her research group from TU Darmstadt to KIT at the beginning of 2018 and has established herself as one of Germany's foremost experts on the human factor in security and privacy. Professor Volkamer's research focuses on human-centered security design, emphasizing that technical security solutions must be developed with user behavior and mental models in mind. She investigates why users often choose less secure passwords, fall for phishing emails, and how they react to security warnings. Her interdisciplinary team combines computer science, mathematics, and psychology to develop security solutions that better protect users against attacks while being usable in real-world contexts. Her publication record shows a strong focus on electronic voting security, email security, and cybersecurity awareness. Recent work includes analyzing the security challenges of online general meetings for listed companies, developing child-friendly authentication systems like KidzPass, and creating effective tools for detecting phishing emails. Her research demonstrates consistent attention to both technical security requirements and human factors in security design. Scientific Awards and Recognition: SECUSO tools recommended by the Federal Office for Information Security NoPhish concept materials included in the Federal Office for Information Security's CyberFibel since January 2021 Development of open source privacy-friendly apps available in the App Store Creation of educational tools like the Phishing Master Shooting Game Professor Volkamer actively advises on cybersecurity policy and regularly contributes to public discourse through media appearances and expert statements. She has supervised student projects that have resulted in practical security tools and has collaborated with government agencies including the Federal Ministry of Education and Research (BMBF) and the EU on security research projects. Her work with the Competence Center for Applied Security Technology (KASTEL) positions her at the forefront of Germany's cybersecurity research efforts. SECUSO, under Volkamer's leadership, develops practical security awareness measures including lectures, videos, flyers, and online tools that help citizens recognize fraudulent messages and better protect themselves online. The research group's work bridges academic research and practical application, making significant contributions to both theoretical understanding and real-world security solutions.

Alexandre Barretoمشاهده پروفایل

دانشیار

• Cybersecurity
• Transportation Security
• Network Security
• +۵ مورد دیگر

Alexandre Barreto serves as an Associate Professor in the Department of Cyber Security Engineering at George Mason University, specializing in cybersecurity applications for transportation systems and critical infrastructure. His work integrates air traffic management expertise with advanced security protocols to address defense and infrastructure vulnerabilities. Education PhD, Instituto Tecnológico de Aeronáutica, Brazil Barreto's research centers on transportation security (particularly aviation), cyber impact assessment, and blockchain applications for critical infrastructure. He develops secure protocols for air traffic systems like ADS-B and creates decision support frameworks for defense scenarios. His methodology combines machine learning, network security, and risk modeling to enhance resilience in smart grids and urban air mobility systems. Analysis of his 15 most recent publications reveals dominant themes in aviation cybersecurity (ADS-Bsec frameworks, Cyber-ARGUS), energy infrastructure protection (SIAD-AERO), and blockchain integration for air traffic management. Over 60% of his work focuses on securing air traffic surveillance systems, while emerging research explores carbon emissions prediction and deep space navigation applications. Advising and Grants No specific student advisement records or grant funding details were documented in the source material, though his classroom activities span graduate and undergraduate cybersecurity education.

Simone Silvestriمشاهده پروفایل

استاد

• Cyber-Physical-Human Systems
• Internet of Things
• Smart Grid Security
• +۵ مورد دیگر

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