جست‌وجوی استاد و پژوهشگر

• Cyber Security
• Digital Forensics
• Biometric Authentication
• +۷ مورد دیگر

Fudong Li is a Professor and Principal Academic in Cyber Security at Bournemouth University, leading the Cyber Security pathway for multiple undergraduate programs and serving as Programme Leader for BSc Forensic Computing and Security. His expertise spans over 15 years in teaching and research, focusing on digital forensics, biometric authentication, ethical hacking, and network security. He holds certifications such as EC-Council’s CHFI, CEH, and Cisco’s CCNA. Fudong has supervised 12 completed PhD students and authored over 60 publications in journals and conferences. His research interests include wearable computing for authentication, blockchain security, privacy-preserving technologies, and cloud storage verification. Notable work includes studies on Ethereum’s consensus mechanism transition and smartwatch-based continuous authentication systems. He has led the FORESIGHT grant (2019) for advanced cyber-security simulation platforms and serves as an external examiner for multiple UK universities. Fudong’s contributions align with UN SDGs for Quality Education and Gender Equality through cybersecurity education initiatives and inclusive technology design. His advisory roles include overseeing 13+ PhD candidates and collaborating on grants addressing cybersecurity challenges in aviation, power grids, and naval systems. He also leads external engagement activities, including visiting lectureships and international examiner roles.

Seifeddine Fathalliمشاهده پروفایل

پژوهشگر

• Computer Networking
• Software-Defined Networking (SDN)
• Network Security
• +۳ مورد دیگر

Seifeddine Fathalli is a PhD student and Researcher in the Internet Architecture department at the Max Planck Institute for Informatics. His work focuses on software-defined networking (SDN), network congestion control, and data plane development. He has contributed to seminal studies on BBRv3 and P4 programming frameworks. Fathalli holds a Master’s in Computer Engineering from the Technical University of Berlin (TU Berlin) and a Dipl.-Ing. in IT Networks and Telecommunications from INSAT, Tunis. Research Interests : - Software-Defined Networking (SDN) and P4 programmability - Network congestion control mechanisms (e.g., BBRv3) - Network security and verification in SDN environments - Public internet performance optimization Teaching : - Tutored Hot Topics in Data Networks (Winter 2020) and Data Networks (Summer 2020) at TU Berlin. Professional Experience : - Working student roles at TU Berlin (Network Verification in SDN), Charité University Medicine Berlin (IT/data management), and United Digital Group (IT Administrator). - Professional certifications: CCNA, P4 training (Barefoot Academy). Key Projects : - Co-designed P4Consist for SDN consistency (IEEE JSAC 2020) - Analyzed BBRv3 deployment implications in public internet (ANRW 2024)

• 6G Networks
• Telemedicine
• Medical Robotics
• +۳ مورد دیگر

Nicolai Kröger is a researcher at the Chair of Communication Networks (Prof. Kellerer) at the Technical University of Munich (TUM). He holds an M.Sc. in Electrical and Computer Engineering from TUM, where his thesis focused on P4 switch performance modeling using queuing theory. His current research centers on 6G networks for critical telemedicine applications, particularly within the 6G-Life project, emphasizing end-to-end communication for medical robotics and surgical systems. He contributes to projects like the 6G Future Lab Bavaria and collaborates with the MITI group at Rechts der Isar Hospital to develop medical testbeds requiring high availability and low latency. Kröger also supervises student theses on 5G/6G security, network optimization, and in-network computing. His technical expertise spans programmable networks (P4), SDN, and performance analysis of network devices. He serves as a supervisor for student projects and internships, including implementations of medical testbeds and security analyses of cellular broadcast messages. His work bridges academic research with practical applications, aiming to advance communication networks for healthcare and future 6G systems.

• Computer Networking
• TCP/IP Protocol Architecture
• Data Center Networks
• +۶ مورد دیگر

Douglas Comer is a distinguished academic and researcher in computer science and electrical engineering at Purdue University, affiliated with the School of Electrical and Computer Engineering. He holds the position of Distinguished Professor, reflecting his significant contributions to the field. His primary research interests include computer networking, TCP/IP protocols, software-defined networking (SDN), cloud computing architectures, data center networks, and network security. Comer is also recognized for his influential textbooks on computer networking and operating systems, which are widely used in academic curricula globally. Comer's academic contributions span decades, with a focus on foundational networking principles and practical implementations. His work on DCnet, an innovative data center network architecture, and the development of SDN frameworks like Osdf and Umbrella highlight his expertise in scalable and resilient network systems. He has also explored emerging areas such as space-terrestrial integrated networks and IoT protocol emulation through projects like WIST. His research emphasizes bridging theoretical concepts with real-world applications, evident in his experimental studies on network simulation reliability and packet delivery resilience. Comer's publications consistently address challenges in network architecture, security, and performance, making him a pivotal figure in both academia and industry. Comer's academic leadership includes contributions to institutional awards and recognition at Purdue University, though specific honors are not detailed in the provided text. His teaching and research labs focus on hands-on networking projects and network processor design, as seen in courses like Network Systems Design (CS490N). He has advised numerous students through his academic roles, though specific advisee names are not listed here. His work has been supported by grants focused on next-generation network architectures and cloud computing infrastructure advancements.

• Computer Networking
• Software-Defined Networking (SDN)
• Distributed Systems
• +۳ مورد دیگر

Mario Baldi is a researcher affiliated with the Polytechnic University of Turin, Italy , with significant contributions to computer networking , distributed systems , and software-defined networking . Key research themes: network function virtualization , programmable dataplanes , time-driven scheduling , and traffic analysis . Recent work focuses on RDMA-enabled compute offloading (2023) and DNN inference in network data planes (2023). Longstanding expertise in multicast routing , voice/data packet efficiency , and XML-based protocol parsing (2000–2006). Collaboration network includes Yoram Ofek , Fulvio Risso , and Han Hee Song , with 99+ publications spanning 1994–2023.

Elie Kfouryمشاهده پروفایل

استادیار

• Programmable Data Planes
• Network Security
• Blockchain Systems
• +۲ مورد دیگر

Elie Kfoury is Assistant Professor of Integrated Information Technology specializing in programmable network infrastructures. His research develops P4-based solutions for high-speed networks, cybersecurity, and blockchain integration. Research Leadership: Co-author of High-Speed Networks: A Tutorial used nationally for Science DMZ deployments. Innovator in programmable switch applications for TCP optimization and intrusion detection. Awards: Breakthrough Scholar (2023), Best Paper ICCNP 2018

Anirudh Sivaramanمشاهده پروفایل

استادیار

• Computer Networks
• Network Programmability
• Distributed Systems
• +۳ مورد دیگر

Anirudh Sivaraman is an Assistant Professor of Computer Science at New York University's Courant Institute, specializing in computer networks and programmability. He holds a PhD from MIT (2017) and a BTech from IIT Madras (2010). His research focuses on enabling ubiquitous network programmability through hardware-software systems, including compilers, runtimes, and applications like distributed consensus and financial exchanges. Education: Ph.D. in Computer Science, MIT (2012–2017) S.M. in Computer Science, MIT (2010–2012) B.Tech in CSE, IIT Madras (2006–2010) Research Interests: Network programmability (e.g., P4, Barefoot Networks) High-speed packet processing and compiler optimization Distributed systems and consensus protocols Cybersecurity in programmable networks Cloud computing and microservice autoscaling Notable Articles Trends: Focus on programmable networks (P4, NIC design) Hardware-software co-design for performance Security and isolation in multi-tenant environments Compiler-based solutions for bug detection Awards: ACM SIGCOMM Doctoral Dissertation (2017), SIGCOMM Best Paper (2017), and multiple teaching awards. Advising & Grants: PI on grants totaling $900K+ (Google, Amazon, NSF). Advises 8+ PhD/Master’s students. Serves on committees for SIGCOMM, NSDI, and HotNets. Labs/Teams: Technical advisor at Clockwork. Co-organizes workshops on programmable networks and P4 standards.

Guofei Guمشاهده پروفایل

استاد

• Network and System Security
• AI Security
• Software-Defined Security (SDN/NFV)
• +۵ مورد دیگر

Guofei Gu is a Professor of Computer Science & Engineering and holder of the Eppright Professorship in Engineering at Texas A&M University's College of Engineering. He leads the SUCCESS Lab, focusing on cybersecurity research in areas such as software-defined security, AI security, and IoT/malware analysis. His work bridges networking, systems, and applied cryptography, addressing practical security challenges. Guofei received his Ph.D. from Georgia Tech (2008) and holds prestigious awards including IEEE Fellow (2020), NSF CAREER Award (2010), and AFOSR Young Investigator Award (2013). He has published extensively in top venues like S&P, CCS, and NDSS, with over 18,000 citations. Research Interests: Network/System Security, AI Security, SDN/NFV Security, Mobile/IoT Threats, Malware Analysis, and Zero Trust Frameworks. Selected Awards: Best Paper at ASIACCS 2022 Eppright Professorship in Engineering (2020) IEEE Fellow (2020) AFOSR Young Investigator Award (2013) Labs/Teams: Director of the SUCCESS Lab, collaborating on projects like S2OS (Security OS) and FRESCO. His work emphasizes programmable security solutions for emerging technologies.

Ramakrishnan Durairajanمشاهده پروفایل

دانشیار

• Computer Networking
• Multi-cloud Computing
• Internet Data Science
• +۶ مورد دیگر

Ramakrishnan Durairajan is an Associate Professor in the School of Computer and Data Sciences at the University of Oregon, where he co-directs the Oregon Networking Research Group (ONRG). He holds a Ph.D. and M.S. in Computer Sciences from the University of Wisconsin-Madison and a B.Tech in Information Technology from Anna University. His research employs data-driven approaches to enhance internet robustness, focusing on: Network infrastructure measurement using AI/ML and statistical methods Mitigation of intrinsic threats (e.g., terabit-scale DDoS attacks) Resilience against extrinsic threats (e.g., climate disasters) Innovations in programmable optics and multi-cloud systems Recent publications explore satellite-based internet resilience, optical topology programming, and dynamic telemetry systems, reflecting a strong emphasis on cybersecurity and network efficiency in high-stakes environments. Notable scientific honors include: NSF CAREER Award and CRII Award Best Paper Awards at ACM CoNEXT/SIGCOMM Popular Science's 'Best of What's New in Security' Ripple Faculty Fellowship He leads federally and industry-funded research projects totaling over $5M, advises graduate/undergraduate researchers, and consults for startups on network security and cloud architecture challenges.

William Hallahanمشاهده پروفایل

استادیار

• Formal methods
• Functional languages
• Network systems
• +۳ مورد دیگر

William Hallahan is an Assistant Professor in the School of Computing at Binghamton University. He joined the faculty in August 2022 following his PhD in Computer Science from Yale University (May 2022), where he was advised by Ruzica Piskac. His research focuses on formal methods, functional languages, and network systems, with an emphasis on techniques that simplify code verification and automated reasoning. Education: PhD in Computer Science, Yale University, 2022 BA in Mathematics and Computer Science, College of the Holy Cross Research interests include: Program verification for functional languages Automated debugging and repair systems Network system verification (firewalls, P4 programs) Control plane synthesis for programmable networks Publications highlight contributions to symbolic execution, firewall repair, and P4 verification frameworks. Current research emphasizes developing practical formal techniques to reduce programmer error and improve code reliability. He maintains an active research group with multiple funded PhD positions available starting Spring 2023.

Ina Berenice Finkمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Network Security
• Industrial Communication
• +۵ مورد دیگر

Ina Berenice Fink is a Researcher and PhD candidate at RWTH Aachen University's Chair of Communication and Distributed Systems. She holds an M.Sc. in Computer Science (2019) and is affiliated with both the Security and Privacy Group and Cyber-Physical Systems Group. Her work focuses on securing communication in critical infrastructure and industrial environments. She has served as a part-time lecturer at FH Aachen and actively contributes to teaching through seminars, labs, and thesis supervision. Notable awards include the 2020 Women’s STEM Award for her master’s thesis on in-network security and the 2019 Female Student Travel Award. Her research spans projects like VeN2uS (low-latency critical infrastructure communication), CONSENT (smart home security), and myneData/TRINICS. She has published extensively on topics including network monitoring, resilient smart grid communication, and industrial IoT security. Her work combines programmable networking, protocol evaluation, and cybersecurity frameworks to address real-world challenges in distributed systems. In teaching, she supervises bachelor’s/master’s theses on network emulation, industrial security, and programmable data planes. Her advising record includes over a dozen theses with topics ranging from starlink performance evaluation to secure industrial MUD frameworks. She collaborates across RWTH departments and external institutions, contributing to both academic conferences and applied security solutions.

Andrea Dettiمشاهده پروفایل

استاد

• Computer Networks
• Information-Centric Networking (ICN)
• Cloud Computing
• +۳ مورد دیگر

Andrea Detti is a Professor at the Department of Electronic Engineering, University of Rome Tor Vergata. His research focuses on computer networks, particularly Information-Centric Networking (ICN), Cloud Computing, and Software Defined Networks (SDN). He has coordinated major EU projects like Fed4IoT and BONVOYAGE, addressing IoT and Intelligent Transport Systems. He serves as Associate Editor for IEEE Transaction on Network and Service Management and has guest-edited special issues on ICN. His teaching includes courses on Internet Technologies, Mobile Wireless Networks, and Cloud Computing, emphasizing hands-on labs with Linux, Cisco routers, and OpenStack. Key projects include leadership roles in EU initiatives such as ICN2020, GreenICN (energy-efficient ICN), and OFELIA (ICN over SDN). He coordinates industrial projects with Telecom Italia and SSI/Finmeccanica on publish-subscribe paradigms in MANET and DTN. His research spans ICN scalability, adaptive video streaming, and satellite communication optimizations. Publications (80+) cover ICN architecture, SDN integration, and network performance modeling. He actively participates in conferences and standardization efforts, contributing to the evolution of future Internet architectures.

• Network Performance Evaluation
• Software-Defined Networking (SDN)
• Network Function Virtualization (NFV)
• +۴ مورد دیگر

Thomas Erich Zinner is Professor at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), a position held since August 2019. Previously, he served as visiting professor and head of the FG INET research group at TU Berlin, and led the 'Next Generation Networks' research group at the University of Würzburg's Communication Networks chair. His educational background includes a diploma (2006) and Ph.D. (2012), both from the University of Würzburg. His research spans network architecture performance evaluation with emphasis on SDN/NFV and QoE-centric management approaches for emerging networks. Zinner's recent publications reveal strong trends toward intelligent 6G architectures integrating AI in the user plane, QoE-aware 5G resource allocation, and autonomic management of softwarized networks. His work combines theoretical modeling, simulation frameworks like OMNeT++, and practical implementations focused on real-world applicability in beyond-5G systems. He leads the Networking Research Group at NTNU working on the TeraFlow project, developing secure cloud-native SDN controllers for autonomic traffic management at massive scale. This initiative addresses critical challenges in next-generation network infrastructure through innovative controller architectures and flow management techniques.

• Software Defined Networking
• Network Security
• Cloud Computing
• +۲ مورد دیگر

Simon Jouet is Research Fellow at the University of Glasgow's School of Computing Science specializing in software-defined networking and network security. Research focuses on: Programmable data planes using eBPF technology Distributed anomaly detection systems Network function virtualization DDoS mitigation strategies Cloud data center resource management Publications show emphasis on SDN/NFV technologies (70%) and network security (30%), with recent work expanding into operational technology resilience. Developed Glasgow Network Functions framework for virtual network function management. Research addresses challenges in cloud computing infrastructures and critical network protection during disasters. Collaborates with industry partners through European research projects on resilient networking.

Sean Choiمشاهده پروفایل

استادیار

• Computer Networking
• Programmable Hardware
• Machine Learning Infrastructure
• +۳ مورد دیگر

Sean Choi is an Assistant Professor in the Department of Computer Science and Engineering at Santa Clara University. He holds a Ph.D. in Electrical Engineering from Stanford University (2020), M.S. in Computer Science from Stanford (2013), and a dual B.S. in Computer Science and Business Economics & Management from Caltech (2011). His research focuses on programmable network hardware, including smartNICs, and their applications in machine learning, blockchain, and cloud computing. Education: Ph.D. in Electrical Engineering, Stanford University (2020) M.S. in Computer Science, Stanford University (2013) B.S. in Computer Science & Business Economics, California Institute of Technology (2011) Research Interests: Programmable Network Switches, SmartNIC Acceleration, Cloud Infrastructure, Serverless Computing, Blockchain Optimization, and Privacy-Preserving Machine Learning . Recent Work: Explores leveraging programmable hardware for low-latency machine learning inference, blockchain scalability via NIC-assisted consensus, and privacy-preserving federated learning through homomorphic encryption offload. His NSF-funded project develops ultra-low-latency ML systems using programmable networks. Awards: NSF CRII 2023 Award Hewlett Packard Enterprise Grant Labs/Teams: Leads research on network programmability and hardware acceleration within Santa Clara University's School of Engineering. Collaborates with industry on data center network optimization and cloud infrastructure projects.