جستجوی استاد راهنمای دانشگاهی

Almir Maricمشاهده پروفایل

دانشیار

• Physical Channel Modeling
• Communication Channel Characterization
• Fading Channels
• +۵ مورد دیگر

Almir Maric is an Associate Professor at the Department of Telecommunications, Faculty of Electrical Engineering, University of Sarajevo. He holds a PhD in Telecommunication Engineering from the same university (2020), preceded by a Master’s (2013) and Bachelor’s (2010) in the same field. His research focuses on geometric-based stochastic channel modeling, communication channel characterization, and fading channel simulation. He has contributed to renowned journals like Wireless Networks and IEEE Communications Surveys & Tutorials , as well as conferences such as the International Conference on Information, Communication and Automation Technologies (ICAT). His work spans topics including composite fading models, error probability analysis in digital modulation, and quantum cryptography in 5G networks. Education: Bachelor’s (2010), Master’s (2013), PhD (2020) in Telecommunication Engineering, University of Sarajevo Maric’s research trends emphasize statistical channel modeling, stochastic processes in wireless systems, and network security in software-defined networks. Notable contributions include the Best Paper Award at the MCSS’17 conference for his work on quantum key distribution signaling protocols. Awards: Best Paper Award at MCSS’17 (2017) His publications reflect a blend of theoretical and applied research, with collaborations on books such as Zbirka zadataka iz mikrotalasnih komunikacija (2020). His work bridges fundamental channel modeling with practical applications in 5G and quantum communication systems.

• Networking
• Communications
• Cybersecurity
• +۵ مورد دیگر

Martin Reisslein is a Professor at Arizona State University's School of Electrical, Computer and Energy Engineering. His research focuses on advanced networking technologies, cybersecurity, and edge computing, with a specialization in Time-Sensitive Networking (TSN), 5G, and network coding. He collaborates closely with institutions like the National Research Data Infrastructure (NFDI) and has published extensively in top-tier journals and conferences. His work spans theoretical and applied domains, including hardware-software co-design for low-latency systems, cybersecurity for satellite and IoT networks, and AI-driven resource management in transportation networks. Recent projects highlight contributions to TSN testbeds, molecular communication simulations, and unified threat management systems for home networks. Reisslein has co-authored over 270 publications, with notable contributions in IEEE Transactions on Networking, Communications Surveys & Tutorials, and the Journal of Signal Processing Systems. His research emphasizes practical implementations, such as hardware-aligned TSN simulations and flexible measurement frameworks for edge computing.

Robert Souléمشاهده پروفایل

دانشیار

• Networking
• Distributed Systems
• Databases
• +۱ مورد دیگر

Robert Soulé is an Associate Professor at Yale University, holding dual appointments in Computer Science and Electrical Engineering. He previously served as an Associate Professor at the Università della Svizzera italiana (USI) in Lugano, Switzerland, and retains an Adjunct Professor position there. Soulé earned his B.A. from Brown University and his Ph.D. from New York University, followed by a postdoc at Cornell University. He is a Senior Member of the ACM and IEEE, and his research has been recognized with best paper awards at DEBS 2012, NSDI 2018, and CoNEXT 2020. His research focuses on computer systems, including networking, distributed systems, databases, and programming languages. Notable contributions include work on in-network computing, programmable data planes, and sustainable networking. He teaches advanced courses on databases, networking, and compilers at Yale and has previously taught at USI and Cornell. Soulé advises a team of PhD students and postdocs, with alumni working in industry and academia. His grants include NSF support for sustainable computing initiatives. He leads research efforts in areas like carbon-aware networking, quantum network specifications, and high-performance RPC systems. His work bridges theory and practice, emphasizing system design and verification. Affiliations: Yale University, USI (Adjunct) Education: Ph.D. (NYU), B.A. (Brown) Grants: NSF funding for sustainable computing Lab/Team: Research group focused on systems and networking innovations

Marco Cookمشاهده پروفایل

پژوهشگر

• Cyber-Security
• Industrial Control System Security
• Anomaly Detection
• +۲ مورد دیگر

Dr. Marco Cook is a Research Associate (academic rank mapped to Researcher) at the School of Computing Science, University of Glasgow. He is an active member of the GLAsgow Systems Section (GLASS) and affiliated with the Netlab (Networked Systems Research Laboratory) and Cyber Defence Lab research groups. Cook completed his PhD in 2023 through an EPSRC iCASE studentship award supported by the Defence Science and Technology Laboratory (Dstl). Research Focus Cook's research specializes in cyber-physical systems security with emphasis on: Industrial Control System (ICS) anomaly detection and forensics Programmable Logic Controller (PLC) vulnerability analysis Cyber resilience for Critical National Infrastructure eBPF-based network security solutions Operational Technology (OT) protection mechanisms His work integrates formal methods, machine learning, and systems engineering approaches. Publication Analysis Cook's 15 most recent publications (2020-2025) demonstrate consistent focus on industrial control system security, with emerging emphasis on eBPF-based network programmability for OT environments. Dominant themes include: anomaly detection frameworks (40%), PLC security (33%), ICS forensics (20%), and programmable network architectures (27%), frequently intersecting cyber-physical systems concepts. Research Groups & Funding Active in Glasgow's Netlab (networked systems) and Cyber Defence Lab . PhD funded by EPSRC iCASE studentship with Dstl partnership. Current projects involve eBPF-based OT resilience and ICS anomaly diagnosis frameworks.

• Computer Networks
• Cybersecurity
• Digital Resilience
• +۵ مورد دیگر

Professor Dimitrios Pezaros is a full Professor of Computer Networks and holds the Royal Academy of Engineering Research Chair in Digital Resilience for Critical National Infrastructure at the University of Glasgow's School of Computing Science. He leads the Networked Systems Research Laboratory (Netlab) and directs the Glasgow Cyberdefence Lab. His roles include former Head of the Glasgow Systems Section (GLASS) and visiting professor at the University of Athens. Education: BSc (Hons) and PhD in Computer Science from Lancaster University Doctoral fellow of Agilent Technologies Inc. (2000–2004) Research Interests: Focuses on network and service management, digital resilience of critical infrastructures, and next-generation networking technologies like NFV and SDN. His work emphasizes cybersecurity for industrial systems, programmable networks, and edge computing. Grants & Funding: Secured major grants from EPSRC, EC, Dstl, RAEng, and industry partners (BT, EDF, NXP). Currently serves on the EPSRC Digital Security and Resilience Strategic Advisory Team. Labs & Teams: Leads Netlab and Glasgow Cyber Defence Lab, advancing research in programmable network architectures, OT security, and resilience engineering. Active in industry partnerships for applied research.

Vinod Nigadeمشاهده پروفایل

استاد مهمان

• Deep Learning
• Edge Computing
• Video Analytics
• +۵ مورد دیگر

Vinod Nigade is a Visiting Professor in the Department of Computer Science at Vrije Universiteit Amsterdam (VU). His research focuses on edge computing, deep learning systems, and network security. He holds a PhD in Computer Science from VU, defended in 2023 with his thesis Latency-Critical Inference Serving for Deep Learning . Key research areas include: Dynamic edge networks and latency-optimized inference systems IoT communication protocols and battery-free device synchronization Neural intrusion detection in programmable networks Distributed deep learning architectures Collaborations span academia-industry projects involving real-time systems, network programmability, and cybersecurity. His work addresses challenges in timely video analytics, service-level objectives in edge computing, and scalable exploit detection in distributed environments. Publications emphasize practical solutions for latency-critical applications, with contributions to ACM, IEEE, and other top venues. Current research trends include accelerating IoT discovery protocols and enhancing network security through AI-driven systems.

• Computer Networking
• Telecommunications
• Internet of Things (IoT)
• +۷ مورد دیگر

Thomas Heide Clausen is a Professor at École Polytechnique (France) and leads its computer networking research group. He holds the Cisco Endowed Chair in 'Internet of Everything' and serves as Academic Director for the interdisciplinary Master's program 'IoT: Innovation and Management'. His work focuses on protocols and architectures for maintaining internet connectivity in dynamic environments, particularly through the development of the OLSR and LOADng routing protocols. Education: M.Sc. and PhD from Aalborg University (Denmark) Research: IoT networking, Smart Grid communication, wireless mesh networks, routing protocol design, network load balancing, and security in MANETs Recent Article Trends: Explored machine learning for load balancing (2022), zero-trust architectures (2023), and wireless optimization for IoT/SmarGrid (2016-2022) Scientific Awards: IEEE Senior Member (2016), IEEE Computer Society Distinguished Contributor (2021) Industrial Collaborations: Hitachi (Japan), Fujitsu (USA), Toyota (Japan), Cisco (USA/France), EDF (France), and others

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

Amar Almaini is a Researcher at the School of Computing, Engineering and the Built Environment in Edinburgh Napier University . His work focuses on enhancing network security and efficiency through innovative approaches in Software-Defined Networking (SDN) and edge computing. His research explores: Software-defined networking (SDN) Edge computing security and optimization Data plane programmability with P4 Hybrid testbed design for realistic simulations Lightweight authentication protocols IoT network security Key trends in his publications include offloading security functions to the data plane, improving network availability, and integrating real hardware data into SDN simulations for automotive systems. As a researcher, Almaini has contributed to advancements in SDN-driven networks through collaborations with Prof Ahmed Al-Dubai and Dr Imed Romdhani .

• Network Security
• Cloud Computing
• Internet of Things
• +۳ مورد دیگر

Olivier Festor is a Researcher at INRIA (French National Institute for Research in Digital Science and Technology), specializing in network security, cloud computing, and IoT. His work focuses on developing scalable solutions for modern network challenges, including in-network computation, cloud service security, and anomaly detection. Research Interests: Dr. Festor investigates vulnerabilities in distributed systems, designs protocols for efficient data processing (e.g., stateful in-network computation), and pioneers frameworks for IoT threat emulation. His recent work emphasizes cloud gaming optimization, automated security for service migrations, and darknet-based threat intelligence. Publication Trends: Over 200 publications (1993–2024) reflect a shift toward cloud/IoT security and programmable networks. Recent articles prioritize machine learning for traffic classification, TOSCA-based cloud orchestration, and P4-enabled data planes, highlighting applied research with industry relevance.

Mario Baldiمشاهده پروفایل

دانشیار

• Programmable data planes
• Software-defined networking
• Network security
• +۵ مورد دیگر

Mario Baldi is an Associate Professor (on leave) of Information Processing Systems at the Department of Control and Computer Engineering , Politecnico di Torino , and concurrently a Fellow in the Office of the CTO, Adaptive and Embedded Computing Group, at AMD, San Jose, CA. His career blends deep academic research with extensive industry R&D leadership. Education M.Sc. (Summa Cum Laude) in Electrical Engineering, Politecnico di Torino, 1993 Ph.D. in Computer and System Engineering, Politecnico di Torino, 1998 Research Focus Baldi’s research spans programmable data planes, software-defined networking, big-data analytics for network management, network security, high-performance switching architectures, optical networking, QoS mechanisms, and multimedia/voice-over-IP systems . He is especially known for pioneering work on P4 -based programmable networks and SmartNIC architectures. Publication & Patent Impact Across 150+ refereed papers and 35+ US patents (plus European filings), his recent output concentrates on machine-learning-driven network data-plane functions , disaggregated stateful network services , and cloud-grade DPUs . The 2021–2024 articles emphasize real-time inference directly in the network data plane and modular SDN programming. Awards & Honors Best Paper Award, IEEE ICC 2007 Best Paper Award, IEEE ISCC 2008 Best Paper Award, IEEE GreenComm 2009 Best Paper Award, ACM/IEEE WI/IAT 2014 Grants & Projects Baldi has served as Principal Investigator or Scientific Coordinator on numerous EU Framework and Italian national projects (PRIN, FAR), leading consortia on energy-efficient packet networks, trusted software execution, wireless mesh architectures, and streaming media delivery. Teaching & Mentoring He has taught graduate courses on Enterprise Network Technologies, Computer Network Technologies and Services, Networks/Cloud/Application Security at Politecnico di Torino since 2003. He has also supervised PhD collegi for the Computer and Systems Engineering doctoral program (cycles 19–23) and held visiting/adjunct positions across four continents. Labs & Teams Previously headed the NetGroup (Computer Networks Group) at Politecnico di Torino (2001–2007) and co-chairs the p4.org Architecture Workgroup , driving open standards for programmable networking.

C. (Chrysa) Papagianniمشاهده پروفایل

استادیار

• Network Softwarization
• Software-Defined Networking
• Network Slicing
• +۷ مورد دیگر

Dr. C. (Chrysa) Papagianni is an Assistant Professor at the Informatics Institute within the Faculty of Science, Mathematics and Computer Science at the University of Amsterdam . She holds a Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens and has held academic and research positions at institutions including the University of Maryland, Hellenic Open University, and Nokia Bell Labs (Belgium). Ph.D., Electrical and Computer Engineering, NTUA (2009) M.Sc., Information Systems (2017-2019), Hellenic Open University Her research focuses on network softwarization , SDN , network slicing , and AI/ML-driven network intelligence for next-generation networks. Recent work explores machine learning for resource allocation , programmable data planes , and intent-based networking . Her publications span journals like IEEE Transactions on Network and Service Management and conferences including IEEE ICC and IEEE CoNEXT . Key projects include NSF FABRIC , H2020 FED4FIRE+ , and 5Growth platform development. She contributes to technical standards in edge computing and cloud-native networks via 5GPPP white papers.

Tom Barbetteمشاهده پروفایل

استادیار

• High-Speed Networking
• Network Function Virtualization (NFV)
• Load-Balancing
• +۳ مورد دیگر

Tom Barbette is an Assistant Professor in the Computer Engineering Center (INGI) department at the Louvain Polytechnic School (EPL) of Université catholique de Louvain (UCLouvain), Belgium. He leads the Efficiency of Networked Systems Group , focusing on programmable networks, SmartNICs, NFV, data-centers, and high-speed packet processing. PhD (2018) from Université de Liège (advisor: Laurent Mathy) Post-doctoral research at KTH, Sweden (2018-2021) and UCLouvain (2021-2022) His research explores redefining internet communication paradigms through programmable infrastructure like SmartNICs and P4. Key themes include: High-speed networking and load-balancing Sub-atomic communication models for disaggregated systems KERNEL bypass techniques for performance optimization He has contributed to major conferences like SIGCOMM, NSDI, and CoNEXT, with patents on network interface optimization. His group collaborates on projects such as: ASNI (SmartNICs programming interface) HIRT (High-speed Forward Erasure Correction) Reframer (Network stream optimization)

Nate Fosterمشاهده پروفایل

استاد

• Programming Languages
• Networking
• Software-Defined Networking
• +۵ مورد دیگر

Nate Foster is a Professor of Computer Science at Cornell University's Bowers Computing and Information Science college. He also serves as a Visiting Professor at EPFL's Data Center Systems Laboratory during the 2023-24 academic year and as a Visiting Researcher at Jane Street. His research focuses on developing languages and tools that make it easy for programmers to build secure and reliable systems, with particular emphasis on software-defined networking. Dr. Foster's educational background includes: PhD in Computer Science from the University of Pennsylvania MPhil in History and Philosophy of Science from Cambridge University BA in Computer Science from Williams College Nate Foster's research spans multiple areas within programming languages and systems. His current work focuses on the design and implementation of languages for programming software-defined networks. He has also made significant contributions to bidirectional languages (also known as "lenses"), database query languages, data provenance, type systems, mechanized proof, and formal semantics. His interdisciplinary approach combines theoretical foundations with practical systems building, seeking to bridge the gap between formal methods and real-world network programming. An analysis of Foster's recent publications reveals a strong focus on network programming languages, particularly NetKAT and P4. His work consistently applies formal methods to networking problems, with increasing emphasis on verification, equivalence checking, and symbolic execution techniques. The research trajectory shows progression from foundational language design to practical verification tools, demonstrating how theoretical programming language concepts can solve real-world networking challenges. Dr. Foster has received numerous prestigious awards for his contributions: Sloan Research Fellowship NSF CAREER Award ACM SIGPLAN Robin Milner Young Researcher Award (2023) Most Influential POPL Paper Award Tien '72 Teaching Award Google Research Award Yahoo! Academic Career Enhancement Award Cornell Engineering Research Excellence Award Morris and Dorothy Rubinoff Award ACM SIGCOMM Rising Star Award As an active member of the programming languages community, Foster has advised numerous graduate students and secured significant research funding through his NSF CAREER award and Google Research Award. He has served in leadership roles for major conferences including PLDI, POPL, and ICFP, demonstrating his commitment to mentoring the next generation of researchers through programs like PLMW@PLDI. His collaborative approach is evident in his extensive co-authorship network across academia and industry. Foster leads research in the area of programming languages for networking, with particular focus on the NetKAT framework for network verification. His work bridges the gap between formal methods and practical networking systems, creating tools that have influenced both academic research and industry practice in software-defined networking. His collaborations with institutions like EPFL and industry partners like Jane Street demonstrate the real-world impact of his research agenda.

Panagiotis Papadimitriouمشاهده پروفایل

دانشیار

• Software-Defined Networking
• Network Function Virtualization
• Cloud Networking
• +۶ مورد دیگر

Panagiotis Papadimitriou serves as an Associate Professor at the Department of Applied Informatics, University of Macedonia in Thessaloniki, where he leads the NetCloud research group. Previously, he held positions as Assistant Professor at Leibniz University Hanover's Institute of Communications Technology and as a Post-Doctoral Researcher at Lancaster University (UK) and Telecom SudParis (France), with additional research experience at the University of Cambridge. His research spans Internet architectures and technologies with emphasis on Network Function Virtualization (NFV), Software-Defined Networking (SDN), Time-Sensitive Networking (TSN), Internet-of-Things (IoT), and Edge Computing. His work includes ML-assisted NFV orchestration (SFC-graph embedding, transformation, and multi-domain partitioning), network slicing orchestration, programmable dataplanes with P4, deterministic networks, datacenter network fabrics, and edge computing. Notable research outcomes include distributed network processing architectures (MIDAS, DistNSE), multi-provider service mapping mechanisms (Nestor), open-source NFV orchestration platforms (TeNOR), and orchestration platforms for cross-slice communication (MESON). His recent publications show a strong focus on In-Band Network Telemetry, Service Function Chain optimization, Time-Sensitive Networking implementations, and cross-slice communication systems, demonstrating his leadership in network virtualization and edge computing research areas. His work consistently addresses practical implementation challenges while advancing theoretical foundations in network management. Scientific Recognition: Senior Member of IEEE Associate Editor of IEEE Transactions on Network and Service Management Counselor of the IEEE Student Branch at University of Macedonia As Principal Investigator of the Horizon Europe NEPHELE project and previous EU-funded projects (NECOS, T-NOVA, CONFINE), he has secured over 1M euro in research funding. He actively contributes to the academic community through conference organization roles including IEEE ICC NGNI 2025, IEEE ICIN 2024, and IFIP/IEEE CNSM 2022 as General Co-Chair. The NetCloud research group he leads maintains a dedicated edge computing facility used for both research and teaching, and is known for its commitment to open-source software and community service through academic network resources. His educational background includes a Ph.D. in Electrical and Computer Engineering from Democritus University of Thrace (2008), an M.Sc. in Information Technology from University of Nottingham (2001), and a B.Sc. in Computer Science from University of Crete (2000).