جست‌وجوی استاد و پژوهشگر

Weichao Wangمشاهده پروفایل

استاد

• Cybersecurity
• Wireless Networks Security
• Cloud Computing Security
• +۷ مورد دیگر

Weichao Wang is a Professor and Chair of the Department of Software and Information Systems at the University of North Carolina at Charlotte (UNC Charlotte). He holds a Ph.D. in Computer Science from Purdue University (2005), with earlier degrees from Tsinghua University. His research focuses on securing pervasive systems, wireless networks, cloud computing, and critical infrastructures, integrating multi-disciplinary approaches like information theory and visualization. He leads efforts in cybersecurity education for K-12 and higher education. Key roles include organizing IEEE conferences (e.g., IPCCC) and editorial roles in journals like ITU Intelligent and Converged Networks. His awards include the 2024 AECT Crystal Award and multiple Distinguished TPC recognitions. Students under his advisement have contributed to areas like mobile cloud computing and network security. Professional contributions include service on over 50 conference committees and journal reviewing. Current research emphasizes cybersecurity in education, IoT defense, and AI-driven security systems. His lab explores immersive visualization for cybersecurity training and augmented reality applications.

Peng Gaoمشاهده پروفایل

استادیار

• Cybersecurity
• Network Security
• AI for Security
• +۷ مورد دیگر

Peng Gao is an Assistant Professor in the Department of Computer Science at Virginia Tech. He is affiliated with the Virginia Tech Security & Intelligence Lab and holds a Ph.D. in Electrical Engineering from Princeton University. Prior to his faculty position, he was a postdoctoral researcher at UC Berkeley and held research internships at Microsoft Research, Facebook, and NEC Laboratories America. Education includes a B.Eng. from Shanghai Jiao Tong University (2009-2013), M.A. and Ph.D. from Princeton (2013-2019), and an exchange program at the University of Hong Kong (2012). Key roles include Technical Program Committee memberships for conferences like IEEE S&P, USENIX Security, and CCS. Research focuses on Cybersecurity (APT prevention, network security with P4/eBPF) AI applications (LLMs for security, AI safety) Systems security (attack investigation, threat intelligence) AI for science (molecular/materials prediction) Notable awards include the 2022 Amazon-VT Initiative Faculty Award, CCI Fellowships, and multiple best paper nominations. His lab has received grants from CCI, NSF, and industry partners like Google Cloud and Cisco. Teaching includes courses on Principles of Computer Security (CS 4264) and Blockchain Technologies (CS 5594). He advises ~20 students across Ph.D., MS, and undergraduate levels.

Nikita Borisovمشاهده پروفایل

دانشیار

• Network Security
• Online Privacy
• Cryptography
• +۵ مورد دیگر

Nikita Borisov is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC). He also holds Research Associate Professor positions at the Coordinated Science Laboratory and the Information Trust Institute. His affiliations include the Department of Computer Science as an affiliate and the Advanced Digital Sciences Center. His research focuses on network security, online privacy, and anonymous communication systems. He teaches courses in computer security, distributed systems, and computer systems engineering. Education: B.Math in Computer Science and Pure Math from the University of Waterloo (1994–1997), M.S. and Ph.D. in Computer Science from UC Berkeley (1998–2005), advised by Eric Brewer. His thesis explored anonymous routing in structured peer-to-peer overlays. Research interests span privacy-enhancing technologies, anonymous communication (e.g., Tor improvements), botnet detection, watermarking for network flows, and social network privacy. He has advised numerous Ph.D. and M.S. students, many of whom now hold academic and industry roles globally. Notable contributions include the Off-the-Record Messaging protocol, uncovering vulnerabilities in 802.11 WEP security, and developing frameworks like Ninja for scalable Internet services. His work has been recognized with best paper awards and invited journal publications. He has served on program committees for conferences like NDSS, PETS, and CCS, and co-edited books on privacy technologies. Current and past projects include cryptographic protocols, secure aggregation in publish-subscribe systems, and covert botnet detection in social networks.

Badis Hammiمشاهده پروفایل

استادیار

• Cybersecurity
• Internet of Things (IoT)
• Blockchain Technology
• +۵ مورد دیگر

Badis Hammi is an Assistant Professor at Telecom SudParis, specializing in cybersecurity and network security. His research focuses on IoT security, blockchain applications, botnet detection, and vehicular networks. He has authored numerous peer-reviewed articles on topics such as malware analysis, phishing detection frameworks, and decentralized security solutions in smart homes and healthcare sectors. Education PhD in Cryptography and Security (2015), Université de Technologie de Troyes Research Interests Cybersecurity frameworks for IoT and blockchain systems Malware detection methodologies PKI security in cooperative intelligent transportation systems (C-ITS) Phishing prevention using graph neural networks Botnet activity analysis in cloud environments Recent Article Trends His recent work emphasizes blockchain's role in mitigating supply chain fraud, improving smart home security, and securing vehicular communications. He also explores machine learning approaches for detecting Sybil attacks and network anomalies in distributed systems. Grants & Advising Active in collaborative projects with industry partners on vehicular network security Advises on EU-funded initiatives for blockchain-based authentication systems Labs/Teams Affiliated with the SAMOVAR research lab at Telecom SudParis, focusing on network and system security.

Peter McBurneyمشاهده پروفایل

استاد

• Autonomous Agents
• Blockchains and Distributed Ledgers
• Computational Finance
• +۱۰ مورد دیگر

Peter McBurney is a Professor specializing in Artificial Intelligence, Distributed Systems, and Computational Finance. His affiliations include roles in hubs such as the Informatics Finance Hub and Distributed Artificial Intelligence Security Hub. He holds a PhD in Rational Interaction from the University of Liverpool (2002) and a Bachelor of Arts in Pure Mathematics & Statistics from the Australian National University (1980). He serves on the Academic Advisory Council of the Financial Conduct Authority since 2018. His research focuses on Autonomous Agents, Blockchain Technology, Multi-Agent Systems, and the ethical implications of AI. Recent work includes studies on Sybil Attacks in blockchain, cooperative language learning in AI, and healthcare simulation modeling. McBurney has led or co-investigated multiple research projects, including grants from the Royal Academy of Engineering and EPSRC. His 132+ publications span conferences like IJCAI and journals such as the International Journal of Parallel, Emergent and Distributed Systems. Key themes in his articles include blockchain security, AI explainability, and multi-agent coordination.

Diksha Guptaمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Network Science
• Distributed Systems
• +۴ مورد دیگر

Diksha Gupta is a Postdoctoral Research Associate at the Biocomplexity Institute, University of Virginia, where she applies artificial intelligence (AI) to study complex real-world networks such as social, cyber, and supply chain systems. She also explores robust federated learning within distributed systems. Prior positions include research roles at INRIA France, IBM Research, and the National University of Singapore’s School of Computing. She earned her Ph.D. with Distinction from the University of New Mexico. Education: Ph.D. with Distinction, University of New Mexico. Her research focuses on designing provably secure, scalable, and efficient protocols for distributed systems. Key interests include randomized algorithms, distributed graph algorithms, algorithmic game theory, and biologically-inspired systems. Recent publications highlight trends in AI applications for network systems, theoretical foundations of Sybil defense mechanisms, and distributed algorithms for secure systems. Notable work spans AI-driven network science, decentralized cybersecurity, and swarm robotics. Scientific Awards: PODC Student Travel Grant for PODC’19, TCPP Student Travel Grant for IPDPS’19, Ph.D. with Distinction from the University of New Mexico. No formal advising roles or students are currently documented. She is affiliated with the Biocomplexity Institute at the University of Virginia, collaborating on interdisciplinary research projects.

• Cybersecurity
• Artificial Intelligence
• Computer and Communication Networks
• +۷ مورد دیگر

Prof. Dr. Abdül Halim Zaim is a faculty member in the Department of Computer Engineering at Istanbul Technical University, Faculty of Computer and Informatics. He holds a Ph.D. from North Carolina State University and has been actively contributing to academia and research in computer engineering and cybersecurity. Education: Ph.D., North Carolina State University M.Sc., Boğaziçi University, Computer Engineering B.Sc., Yıldız Technical University, Computer Engineering Research Interests: His research spans Cybersecurity, Artificial Intelligence, Computer and Communication Networks, with a strong focus on IoT security, blockchain applications, energy-efficient routing in wireless networks, and edge/fog computing. He has published extensively on topics such as intrusion detection, malware analysis, and zero-trust architectures. Publication Trends: Recent publications (2021–2024) emphasize blockchain in financial systems, IoT malware detection, energy optimization in manufacturing and sensor networks, and AI-driven cybersecurity solutions. His work frequently appears in IEEE Access and other high-impact venues, reflecting a trend toward applied, interdisciplinary research in digital transformation and secure systems. Scientific Awards: University First, Yıldız Technical University, 1993 Department First, Yıldız Technical University, 1993 Faculty First, Yıldız Technical University, 1993 Advising and Grants: He has supervised numerous master’s and doctoral students, with recent theses focusing on ransomware detection, blockchain platforms, and IoT security. He leads active research projects funded by the EU and TÜBİTAK, including initiatives on digital transformation for engineering students and malicious software detection in edge/fog environments. Labs and Teams: While specific lab names are not mentioned, his leadership in projects and editorial roles (e.g., Turkish Journal of Electrical Engineering and Computer Sciences) indicates active involvement in research teams and academic communities focused on cybersecurity and network technologies.

• Data-Intensive Systems
• Parallel Graph Analytics
• Algorithms
• +۶ مورد دیگر

H.J. Sips is a Professor at Delft University of Technology within the Faculty of Electrical Engineering, Mathematics and Computer Science. His research focuses on data-intensive systems, parallel graph analytics, and distributed systems, with a strong emphasis on algorithm design and performance optimization. Academic Rank: Professor Institution: Delft University of Technology School: Faculty of Electrical Engineering, Mathematics and Computer Science His research interests include: Algorithms Distributed Systems Graph Analytics OpenCL and GPU Programming Social Network-based Sybil Defense His publications highlight trends in high-performance computing, with a focus on portability, parallelization, and hardware acceleration. Notable topics span Intel Xeon Phi architecture, acoustic ray tracing, and robust Sybil defense mechanisms under dynamic network churn. H.J. Sips has contributed to editorial activities for the Lecture Notes in Computer Science journal since 2009. His work demonstrates a sustained commitment to advancing computational efficiency and distributed system security.

Chong Yuمشاهده پروفایل

استادیار

• Wireless Networks
• Internet of Things
• Federated Learning
• +۲ مورد دیگر

Dr. Chong Yu is an Assistant Professor in the Department of Computer Science at the University of Cincinnati's College of Engineering and Applied Science. His research focuses on wireless networks, data analytics, IoT systems, and federated learning architectures. He obtained his PhD in Electrical and Computer Engineering from the University of Nebraska-Lincoln. Research interests span secure federated learning frameworks, privacy-preserving data querying, and efficient communication protocols for distributed systems. Applied domains include e-health, agricultural IoT, and aerial computing networks. Recent investigations address model poisoning attacks in federated environments and encrypted anomaly detection for blockchain-based data trading. Publications demonstrate consistent focus on security and efficiency trade-offs in distributed systems, with emerging work on large language models for code comprehension and runtime monitoring for JavaScript security. Methodologies emphasize lightweight cryptographic schemes for resource-constrained devices.

Stephan Olariuمشاهده پروفایل

استاد

• Vehicular Ad Hoc Networks (VANETs)
• Cybersecurity
• Telemedicine
• +۴ مورد دیگر

Stephan Olariu is a Professor of Computer Science at Old Dominion University (ODU), affiliated with the College of Sciences. He holds a Ph.D., M.Sc., and B.S. in Computer Science from McGill University (1982–1986). His research focuses on vehicular ad hoc networks (VANETs), cybersecurity, telemedicine, and vehicular cloud computing. He has led projects like TRENDS, a cyber-physical system for traffic event detection, funded by ODU (2011). Dr. Olariu's work emphasizes vehicular networks' security and efficiency, including solutions for VANETs, UAV-based medical supply delivery, and blockchain-driven decentralized marketplaces. He explores smart city technologies, such as traffic optimization and environmental impact reduction. His recent publications address topics like drone coordination for surveillance, trust frameworks in blockchain systems, and UAV applications in counterterrorism. Grants: TRENDS (2011) and others focused on vehicular systems and telemedicine. Key Themes: Vehicular cloud computing, cybersecurity, UAV systems, and smart infrastructure. His contributions span academic leadership in computer science, with a focus on translating theoretical research into real-world applications like emergency response systems and resilient decentralized platforms.