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Félix Jesús García ClementeView profile

Professor

• Cybersecurity
• Data Analysis
• IoT Networks
• +5 more

Félix Jesús García Clemente is a Full Professor at the Department of Computer Engineering, University of Murcia. He holds a PhD in Computer Science (2006) from the same institution. His research focuses on cybersecurity, data analysis, IoT networks, and gamification in education. He leads projects funded by entities like INCIBE, the European Defence Fund, and the Ministry of Defence, with total funding exceeding €41 million. Key projects include DEFENDER (cybersecurity in IoT/5G labs), SEMANTIC (game-based assessments), and EU-GUARDIAN (AI-based cyber defense). He has published widely in areas like anomaly detection, smart farming, and medical cybersecurity. His work integrates machine learning, deep learning, and industrial automation. He collaborates internationally on initiatives such as PALANTIR (SME cybersecurity) and 5GZORRO (5G security). His lab, CyberDataLab UMU, develops solutions for cybersecurity and data science. Projects like COBRA and SAFEMAN address APT simulations and industrial safety.

Jorge CrichignoView profile

Professor

• High-Speed Networks
• Cybersecurity
• Science DMZs
• +6 more

Jorge Crichigno is a Professor in the Integrated Information Technology Department at the Molinaroli College of Engineering and Computing, University of South Carolina (USC). He joined USC in 2018, previously serving as faculty at Northern New Mexico College and as a research associate at the University of South Florida's Florida Center for Cybersecurity. His work focuses on high-speed networking, Science DMZs, cybersecurity, and P4 programmable data planes. Dr. Crichigno holds a Ph.D. in Computer Engineering from the University of New Mexico, alongside M.Sc. and B.Sc. degrees in Electrical Engineering. His research emphasizes practical implementation of Science DMZs, TCP optimization, and cybersecurity education through virtual labs. He leads an NSF-funded project developing experiential cybersecurity training programs and workforce partnerships with industry and Los Alamos National Laboratory. His research interests span Science DMZ design, network function virtualization, ransomware detection, and IoT security. He develops training materials for Science DMZs and contributes to the Cyberinfrastructure (CI) Lab, which investigates high-speed networks and IoT challenges. Key projects include enhancing network security via ML-driven malware detection and optimizing TCP fairness in non-programmable networks using P4 switches. Dr. Crichigno teaches IT Security (ITEC 493) and Advanced Networking (ITEC 445). He has secured NSF grants for initiatives like Cyber-Con2 and cybersecurity pipeline development. His lab work includes creating scalable virtual labs and testing frameworks for large data transfers, with a focus on disaster recovery support and SDN environments.

Nelly ElsayedView profile

Assistant Professor

• Applied AI
• Machine Learning
• Healthcare Informatics
• +7 more

Dr. Nelly Elsayed is an Assistant Professor at the School of Information Technology, University of Cincinnati. She leads the Applied Machine Learning and Intelligence (AMLI) Lab, focusing on AI, cybersecurity, healthcare informatics, and smart technologies. Her research emphasizes practical applications in IoT security, neural networks, and predictive modeling. Her work includes grants from the National Science Foundation, Procter & Gamble, and federal agencies, totaling over $600k. Notable projects include IoT security frameworks, mental health monitoring systems, and cyberbullying detection. Dr. Elsayed has received multiple recognitions, including the Golden Apple Award for Teaching and UCAADA Advising Excellence. She actively serves on technical committees for IEEE and ACM conferences, contributing to academic service and outreach. Research Interests: Applied AI & Machine Learning Cybersecurity for IoT/Healthcare Deep Learning Models (LSTM, CNN) Data Science & Pattern Recognition Smart Technologies for Accessibility Recent Research Trends: Her publications emphasize hybrid models (e.g., LSTM-CNN) for intrusion detection, cybersecurity frameworks, and AI-driven solutions for mental health and elderly care.

• Cybersecurity
• Network Security
• Cryptography
• +4 more

Amir Herzberg is the Comcast endowed professor for security innovation at the Department of Computer Science and Engineering, University of Connecticut. His research focuses on cybersecurity, network security, applied cryptography, privacy, and IoT security. He teaches courses like Network Security (CSE4402) and Cybersecurity Lab (CSE3140). Herzberg is funded by NSF and Comcast, and his work addresses threats in internet infrastructure, cryptographic protocols, and human-centric security challenges. His publications span topics like BGP security, PKI resilience, and covert channels in cyber-physical systems. Research highlights include developing provable security frameworks for PKI, simulating BGP security with tools like BGPY, and addressing IoT and vehicular communication vulnerabilities. He emphasizes interdisciplinary approaches, integrating economics, ethics, and psychology into security solutions. Herzberg’s textbook Applied Introduction to Cryptography and Cybersecurity (2025) reflects his teaching and research contributions. Funding sources include NSF grants and industry partnerships. He actively engages in public discussions on privacy, cyber-warfare, and biometric data risks, as seen in his interviews with the Institute for New Economic Thinking and other platforms. His lab focuses on deployable solutions for internet routing security and resilient cryptographic systems.

Meera SridharView profile

Associate Professor

• Cybersecurity
• Formal Methods
• Program Analysis and Verification
• +4 more

Meera Sridhar is an Associate Professor in the Department of Software and Information Systems at the University of North Carolina Charlotte (UNC Charlotte). She leads the CCI SmartHome IoT Lab and the Center for Energy Security And Reliability (CESAR). Her research focuses on cybersecurity, formal methods, and their applications to web, mobile, and IoT systems. She holds a Ph.D. from the University of Texas at Dallas and advanced degrees from Carnegie Mellon University. Dr. Sridhar has received significant funding including a $1.5M grant from the UNC System for secure power grid research and an NSF grant for cybersecurity education. Her work spans malware detection (e.g., Jadeite), exploit generation frameworks (HybridGuard), and educational tools like DISSAV for stack-smashing visualization. Key contributions include analyzing ActionScript vulnerabilities ("Flash in the Dark"), securing hybrid mobile apps, and developing IoT security solutions. She advises multiple Ph.D. students and actively contributes to conferences like ACM SIGCSE and IEEE ISI. Her labs focus on emerging threats in smart devices and energy infrastructure.

Wei-Shih YangView profile

Professor

• Mathematical Physics
• Mathematical Finance
• Complex Networks
• +7 more

Wei-Shih Yang is a Professor in the Department of Mathematics at Temple University, part of the College of Science and Technology. His research focuses on mathematical physics, mathematical finance, and complex networks, with notable contributions to quantum random walks, statistical mechanics, and wireless network analysis. He holds a Ph.D. from Cornell University under Eugene B. Dynkin. Education: Ph.D. in Mathematics, Cornell University, under Eugene B. Dynkin. Research Interests: Dr. Yang's work spans mathematical physics (quantum systems, phase transitions), financial mathematics (ruin probabilities), and complex networks (wireless systems, social networks). His recent studies include quantum random walks' localization on fractal structures and applications of quantum computing, as well as algorithmic advancements in network security and data analysis. Recent Trends in Publications: His recent work emphasizes interdisciplinary applications of mathematics in quantum computing, cybersecurity (botnet detection), and vehicular networks. Collaborations span computer science, engineering, and physics, reflecting his expertise in bridging theoretical concepts with practical network challenges. Advising & Grants: No student advisees or grant details explicitly listed in the provided texts. Labs/Teams: While specific lab affiliations are not mentioned, his research collaborations suggest involvement with interdisciplinary teams in Temple's College of Science and Technology, focusing on network science and quantum systems.

• Sustainable Computing Infrastructure
• Data Systems
• Networked-Systems Architectures
• +7 more

Prof. Noa Zilberman is an Associate Professor in the Department of Engineering Science at the University of Oxford, leading the Computing Infrastructure Group. Her research bridges micro-level architectures and large-scale networked systems, focusing on sustainable computing, data systems, and in-network machine learning. She holds a BSc, MSc, and PhD in relevant fields, with over 15 years of industrial experience, including a role as Senior Principal Chip Architect at Broadcom's Network Switching group. Before Oxford, she was a Fellow and Affiliated Lecturer at the University of Cambridge. Her work emphasizes interdisciplinary approaches, combining computer architecture, programmable hardware, and data science. Current projects include optimizing LiDAR frame transmission via in-network ML, designing smart grids, and enhancing IoT privacy through federated learning. She has contributed to advancing carbon-aware networking and edge computing solutions. Zilberman’s publications reflect her expertise in in-network computing, cybersecurity, and AI governance. Her articles span technical innovations like DINC (Distributed In-Network Computing) and practical applications such as mitigating DDoS attacks using programmable switches. She actively mentors DPhil students, including those involved in breakthrough AI models for creative gameplay design. Awarded a Fellowship at Cambridge, her career bridges academia and industry, addressing real-world challenges through cutting-edge networked systems research.

• Machine Learning
• Autonomous Systems
• Cyber Security
• +1 more

Dr. Hong Gunn Chew is a Lecturer at the University of Adelaide, affiliated with the School of Electrical and Mechanical Engineering within the Faculty of Sciences, Engineering and Technology. His research focuses on Machine Learning, Autonomous Systems, Cyber Security, and Energy Management. He holds roles as the electronics practical coordinator and final year projects coordinator in the School of Electrical and Electronic Engineering. Dr. Chew’s academic contributions span teaching and research supervision across multiple disciplines, including Computer Architecture, Digital Electronics, and Project Management. He has coordinated undergraduate and postgraduate research projects, fostering practical skills in students through hands-on learning environments. His research publications reflect expertise in adversarial machine learning, network security, and energy systems optimization. Notable work includes developing explainability models for AI systems and frameworks for detecting cyber threats in networked devices. He has secured grants related to defense applications, such as eavesdropping detection and swarm intelligence coordination in urban environments. Dr. Chew’s teaching portfolio includes courses on circuit design, control systems, and distributed generation technology. His interdisciplinary approach bridges theoretical concepts with real-world applications, particularly in addressing challenges in autonomous systems and sustainable energy solutions.

Alberto DainottiView profile

Associate Professor

• Internet Measurement
• Cybersecurity
• Network Security
• +7 more

Alberto Dainotti is an Associate Professor in the School of Computer Science at Georgia Tech, leading the Internet Intelligence Lab. His research focuses on internet measurement, cybersecurity, and data science, with emphasis on routing security, outage detection, and the socio-political impacts of cyber events. He holds a Ph.D. in Computer Engineering from the University of Napoli 'Federico II.' Affiliations: Georgia Tech (since 2016), former Associate Research Scientist at CAIDA/UC San Diego Education: Ph.D. in Computer Engineering (2008), University of Napoli Research Interests: Internet outages, BGP security, DoS attacks, and the intersection of cybersecurity with political science. He develops tools like IODA, BGPStream, and GRIP for real-time network analysis. Recent Work: Focuses on detecting BGP hijacks, analyzing internet shutdowns, and assessing physical risks to network infrastructure. His work has been featured in venues like SIGCOMM, IMC, and NSDI. Awards: IRTF Applied Networking Research Prize (2022, 2017), IMC Distinguished Paper Award (2019) Grants: NSF, DHS, Cisco, Comcast, and OTF funding supporting BGPStream, IODA, and routing security research Labs/Teams: Directs the Internet Intelligence Lab, collaborating on projects like IODA (used by UN, Amnesty International) and BGPStream (widely adopted in industry and academia).

Marco T Bastos, Dan MerceaView profile

Academic

• Digital Activism
• Social Media and Politics
• Network Analysis
• +7 more

Marco T Bastos and Dan Mercea are academic researchers specializing in digital activism, social media, and political communication. Bastos is a Postdoctoral Researcher at Duke University's Franklin Humanities Institute and holds a PhD in Communication Sciences from the University of São Paulo, Brazil. Dan Mercea is a Lecturer in Sociology at City University London, with a PhD in Communication Studies from the University of York, UK. Marco T Bastos – PhD in Communication Sciences, University of São Paulo Dan Mercea – PhD in Communication Studies, University of York Their research focuses on the role of social media in protest movements, civic participation, and networked activism. They have co-authored influential studies on serial activists , users who bridge geographically and linguistically disparate protests, and on Twitter-based mobilization in events like Occupy Gezi and the Brexit referendum. Their work challenges traditional models of influence by highlighting the role of non-elite, highly connected users in shaping political discourse. Key research themes include digital prefigurative participation, connective action, bot networks, and narrative alignment between news and social media. Their publications appear in top journals such as New Media & Society , Sociology , and Social Science Computer Review . Their recent work analyzes protest participation along a gradient (actual, potential, non-participants), examines familial engagement with locative games like Pokémon Go, and investigates how online communication fosters offline protest participation. They employ mixed methods, including big data mining, network analysis, and qualitative interviews. Scientific Contributions: Coined and operationalized the concept of 'serial activists' Exposed the Brexit botnet of over 13,000 automated accounts Explored casual protest participation in Eastern Europe Analyzed movement learning on Twitter during UK austerity protests Studied prefigurative politics in digital activism Advising and Grants: While specific students and grant funding are not mentioned in the provided texts, their multi-year empirical studies suggest involvement in funded research projects. Their collaborative work indicates mentorship of junior researchers and potential supervision of graduate students, particularly in digital methods and political sociology. Labs and Teams: Bastos is affiliated with the Franklin Humanities Institute at Duke University, which supports interdisciplinary research in digital humanities and media studies. Mercea’s work at City University London likely involves engagement with digital sociology and social movement research groups. Their joint research implies collaboration within interdisciplinary teams focused on computational social science and political communication.

Tanveer Hossain BhuiyanView profile

Assistant Professor

• Operations Research
• Industrial Engineering
• Data Analytics
• +6 more

Tanveer Hossain Bhuiyan is an Assistant Professor in the Mechanical, Aerospace, and Industrial Engineering Department at The University of Texas at San Antonio (UTSA), under the Margie and Bill Klesse College of Engineering and Integrated Design. He holds a Ph.D. in Industrial Engineering from the University of Tennessee-Knoxville (2021), an M.S. in Operations Research with a minor in Statistics from Mississippi State University (2018), and dual M.S. and B.S. degrees from Bangladesh University of Engineering and Technology (BUET). His research focuses on data-driven mathematical models and algorithms for decision-making under uncertainty, with applications in critical infrastructure protection, sustainable transportation, disaster mitigation, and power systems. Ph.D.: University of Tennessee, Knoxville M.S.: Mississippi State University (Operations Research) M.S.: Bangladesh University of Engineering and Technology (BUET) B.S.: Bangladesh University of Engineering and Technology (BUET) Bhuiyan’s research employs stochastic optimization, game theory, and high-performance computing for cybersecurity, microgrid planning, and drone logistics. Funded by the U.S. Department of Energy, Department of Homeland Security, and the U.S. Navy, his work spans cyber-physical systems, renewable energy integration, and supply chain risk management. He serves as an Associate Editor for the Cyber-Physical Energy Systems journal and reviews for top-tier publications like European Journal of Operational Research and Omega . His recent publications highlight trends in: Cybersecurity modeling via attack graphs Hydrogen microgrid resilience Drone delivery optimization Stochastic power system planning Botnet detection algorithms Material discovery frameworks Bhuiyan is a member of the Institute for Operations Research and the Management Sciences (INFORMS) and has worked as a Postdoctoral Research Associate at Idaho National Laboratory and a Research Intern at Pacific Northwest National Laboratory and Argonne National Laboratory.

Joseph BrickleyView profile

Assistant Professor

• Cybersecurity
• Cybersecurity Leadership
• Cybersecurity Policy
• +3 more

Joseph Brickley is an Assistant Professor at Rowan University , affiliated with the College of Science & Mathematics and the Department of Computer Science . Ph.D., Cyber Security Leadership, Management, and Policy, New Jersey City University M.S., Criminal Justice, Saint Joseph’s University B.S., Criminal Justice, University of Delaware A.S., Criminal Justice, Atlantic Cape Community College His teaching narrative emphasizes hands-on cybersecurity education, focusing on real-world challenges such as risk assessment, compliance, and emerging threats. As a certified practitioner (CISSP, CISM, CISA, C|CISO, CEH, Security+, Network+, AWS CCP, PMP), he bridges technical and strategic aspects of cybersecurity. Research interests span cybersecurity leadership, policy development, and technical/non-technical defenses against threats like phishing and IoT-based DDoS attacks. His work also explores incident management theories, including Surprise Management Theory applied to crises like the 2014 Chicago Fire. Professional memberships include the International Information System Security Certification Consortium, EC-Council, and CompTIA. His publications highlight interdisciplinary approaches to cybersecurity, with recent trends focusing on least privilege policies, IoT vulnerabilities, and compliance gaps. Contact: brickley@rowan.edu , Robinson Hall, Room 318.

• Cybersecurity Governance
• Internet Security
• Malware Economics
• +3 more

Michel van Eeten is Professor of Cybersecurity Governance in the Department of Organisation and Governance at Delft University of Technology's Faculty of Technology, Policy and Management. His research examines the interplay between technological design and economic incentives in Internet security, with empirical studies funded by the Dutch National Police, European Commission, U.S. Department of Homeland Security, OECD, ITU, and multiple Dutch ministries. He served on the Dutch Cyber Security Council (2011-2023), advising the national government on cybersecurity policy. His research spans cybersecurity governance, malware economics, threat intelligence sharing, and IoT security remediation. Van Eeten employs empirical methods to analyze real-world security data, focusing on how market incentives and regulatory frameworks shape security outcomes. Key investigations include botnet cleanup efficacy, vulnerability information filtering by organizations, and the role of network operators in security infrastructure. Recent publications reveal a shift toward human-organizational dimensions of security, analyzing vulnerability management workflows and threat intelligence community impacts. His work increasingly combines technical measurement with policy analysis, emphasizing evidence-based interventions like randomized control trials for security protocols and cross-sector remediation efforts. Scientific Awards: NDSS 2019 Distinguished Paper Award for "Cleaning Up the Internet of Evil Things: Real-World Evidence on ISP and Consumer Efforts to Remove Mirai" Van Eeten has supervised 10 students and secured major grants from Dutch government agencies, EU bodies, and international organizations. His Cybersecurity (TPM) thematic collaboration involves 25+ researchers across public-private partnerships, including ongoing projects with national police and intelligence services. He leads a dedicated research team within TU Delft's Faculty of Technology, Policy and Management that conducts large-scale empirical studies on Internet security governance, collaborating with Dutch ministries, banks, and international bodies like the OECD to translate research into policy frameworks.

Stefan WeberView profile

Professor

• Distributed Systems
• Internet of Things
• Communication Protocols
• +7 more

Stefan Weber is a Professor at the Trinity College Dublin , affiliated with the School of Computer Science & Statistics . His research spans Information-Centric Networking (ICN) , Security & Botnets , and Mobile Ad hoc Networks (MANETs) , with a focus on optimizing communication in dynamic environments. Exploiting ICN for data-centric infrastructure Security challenges in distributed systems Protocol design for mobility and disconnection His recent publications address topics in networking , security , and IoT , though some interdisciplinary works touch on epidemiology and genetics . While no formal awards are listed, his collaborations include the EU FP7 N4C Project . Stefan has supervised students including Andriana Ioannou (caching in ICN), Amber Higgins (container-based honeypots), and Joseph O'Hara (network telescopes), among others.

Michal KedzioraView profile

Assistant Professor

• Cybersecurity
• Blockchain
• Artificial Intelligence
• +7 more

Michal Kedziora is an Assistant Professor at Wroclaw University of Science and Technology, affiliated with the Faculty of Information and Communication Technology and Department of Applied Informatics. As head of the Cybersecurity mini-Lab, he bridges academic research with practical expertise as an IT Security Professional and Digital Forensics Investigator with experience in companies like IBM and Orange. Postdoc in Cybersecurity (2017), University of Wollongong PhD in Computer Science (2014), Wroclaw University of Science and Technology MSc in Computer Security (2006), Wroclaw University of Technology His research focuses on AI-driven cybersecurity , blockchain security , and brain-computer interfaces , with recent work on adversarial attacks, medical AI applications, and offensive cybersecurity strategies. Publications span from 2009 to 2025, demonstrating sustained impact. Key article trends: 13/15 recent papers involve artificial intelligence (2021-2025), 8 focus on blockchain security , and 5 on BCI applications . Notable collaborations with University of Wollongong and EU-US teams. 2022 Secundus University Award 2021 Erasmus Mundus Thelxione Grant 2021 Best EU-US Collaboration Team (NGI Explorers) 2020 H2020 ICT-31-2018-2019 EU-US NGI Grant Supervises 11 current and 33 past students across BSc, MSc, and PhD levels, with thesis topics ranging from ransomware detection to blockchain voting systems . Leads cybersecurity research at WUST's Security and Reliability of Information Systems Lab.