Find Academic Supervisors

Scott F. MidkiffView profile

Professor

• Networking
• Telecommunications
• Computer Engineering
• +4 more

Scott F. Midkiff is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. His research focuses on networking, telecommunications, and cybersecurity, with particular emphasis on 5G, O-RAN, edge cloud computing, and interference management in wireless networks. He holds a Ph.D. from Duke University (1985), an M.S.E.E. from Stanford University (1980), and a B.S.E. from Duke University (1979). Midkiff’s work spans theoretical and applied domains, including stochastic optimization for RAN intelligent controllers, network slicing, and wireless control plane design. He has contributed to advancements in interference alignment, MIMO systems, and secure spectrum sharing. His awards include the ORBIE Award and Capital CIO of the Year. Awards: ORBIE Award, Capital CIO of the Year Service: Member at Large, IEEE Committee on Engineering Accreditation Activities; ABET Program Evaluator His research group explores cutting-edge topics like software-defined cellular networks, distributed scheduling in underwater networks, and energy-efficient routing in sensor networks. Midkiff is affiliated with Virginia Tech’s research initiatives in pervasive computing and sustainable wireless systems.

Arturo Azcorra SaloñaView profile

Professor

• Multi-access Edge Computing
• Network Function Virtualization
• 5G networks and services
• +3 more

Arturo Azcorra Saloña is a Full Professor at Universidad Carlos III de Madrid and the founder & Director of IMDEA Networks Institute. He has held leadership roles in technology transfer, including Director General positions at CDTI and the Spanish Ministry of Science and Innovation. Education: M.Sc. in Telecommunications Engineering (1986) and PhD in Telecommunications (1989) from UPM, MBA with honors from Instituto de Empresa (1993) Research interests focus on Multi-access Edge Computing , Network Function Virtualization , and 5G networks , with significant contributions to Software Defined Networks and Smart connectivity systems . His publications span wireless networking, vehicular networks, and formal methods, with high-impact papers on 802.11 protocols, 5G architecture, and vehicular mobility optimization. Scientific awards: Elected Chairman of Networld2020 ETP, Special University award for extraordinary merits (2002), National PhD prize (1990), Best graduating student prize (1986) Research management includes coordinating EU projects like 5G-TRANSFORMER, 5G-CROSSHAUL, and networks of excellence such as CONTENT and E-NEXT. He co-founded the ACM CoNEXT conference and contributes to European 5G PPP initiatives.

Geert HeijenkView profile

Professor

• Intelligent Transport Systems
• Autonomous Vehicles
• Vehicular Networking
• +3 more

Geert Heijenk is a Full Professor at the Digital Society Institute, specializing in the Design and Analysis of Communication Systems. His research focuses on Intelligent Transport Systems, Autonomous Vehicles, and vehicular networking. He has been actively publishing since 1990, with over 220 research outputs, including peer-reviewed articles, conference contributions, and books. Key research interests include adaptive cruise control algorithms, vehicular network protocols, energy efficiency in communication systems, and cooperative driving systems. His work bridges theoretical contributions (e.g., network scheduling algorithms) with practical applications (e.g., smart traffic systems). Awards: 6 Best Paper Awards (2021, 2016, 2011, 2008, etc.) Grants/Advising: Supervised 10 academic works, including PhD/Master’s theses. He is actively involved in collaborative projects and has delivered invited talks on topics like infrastructure support for vehicular networks and geocast scheduling in mmWave systems. Labs/Teams: Leads research groups exploring vehicular communication, green networking, and intelligent transport systems integration.

David GuzmanView profile

Researcher

• Distributed Systems
• Internet Decentralization
• Consensus Protocols
• +3 more

David Guzman is a researcher at the Technical University of Munich (TUM) in the Department of Informatics, specifically working within the Chair of Connected Mobility (I11). His research focuses on distributed systems, internet decentralization, and consensus protocols. He teaches courses on Future Internet Protocols, Decentralization and Consolidation, and Internet Measurements. Dr. Guzman received his education in Information Technology from Technische Universität Berlin and Sorbonne Université, following an electronics engineering degree. His professional journey includes work at Huawei Research, the Information Theory Group at Freie Universität Berlin, the Ministry of Telecommunications, and the Central Bank of Ecuador where he contributed to the development of Ecuador's first Central Bank Digital Currency (Dinero Electrónico). His research interests center around the decentralization of the internet, distributed systems and consensus mechanisms, and multicast randomized protocol design. Guzman's work explores how network infrastructure can better support distributed consensus systems, with particular focus on improving communication efficiency, reducing latency, and ensuring finality in consensus processes. His research bridges theoretical networking concepts with practical implementations in blockchain and distributed ledger technologies. Analysis of Guzman's publication record reveals a strong focus on the intersection of networking infrastructure and distributed consensus systems. His recent work examines how multicast communication paradigms could improve the efficiency of permissionless distributed consensus at internet scale, addressing issues of communication cost, performance delays, and lack of finality that plague current peer-to-peer approaches. His research trajectory shows increasing specialization in network support for blockchain and distributed ledger technologies. Dr. Guzman has made significant contributions to the Internet Engineering Task Force (IETF), authoring the Internet-Draft 'Multicast Applicability for Distributed Consensus Systems' which proposes novel approaches to improving distributed consensus through network-level support. As part of the Connected Mobility research group at TUM, Guzman collaborates with Professor Jörg Ott and other researchers on advancing the state of internet protocols, particularly in the areas of decentralization and distributed systems. His work has practical implications for blockchain technologies, internet infrastructure, and the future evolution of decentralized networks.

• Peer-to-Peer Overlay Networks
• Home Automation
• IP Telephony
• +3 more

Dr. Mario Kolberg is a Senior Lecturer in the Department of Computing Science at the University of Stirling. He holds a PhD from the University of Strathclyde and has held roles at institutions including Humboldt University in Berlin and the University of Strathclyde. His research focuses on Peer-to-Peer (P2P) overlay networks, Home Automation, and IP Telephony, with contributions to areas like distributed feature interaction management and network protocol optimization. Key roles include co-investigator in ESRC’s Interlife and MATCH projects, exploring P2P networks in virtual worlds and healthcare integration. He leads initiatives such as the Sysnet Knowledge Transfer Partnership, developing P2P overlays for mobile devices. Kolberg is an IEEE Senior Member and Series Editor for the IEEE Communications Magazine’s Consumer Communication and Networking series, previously serving as TPC Chair for IEEE CCNC 2011. His research spans P2P multicast, home automation systems, and network efficiency, with recent work addressing IoT protocols (e.g., 6TiSCH), mobile network optimization, and integrating social media data for transport prediction. Over 79 publications highlight his technical depth, including influential papers on feature interaction detection and hybrid multicast systems. Education: PhD in Computer Science from University of Strathclyde Key Projects: Interlife (P2P in 3D virtual education), MATCH (healthcare networks), Sysnet KTP (mobile P2P) Awards: IEEE Senior Member, Series Editor role His work bridges academia and industry, addressing real-world challenges in networking and distributed systems.

• Optical Networking
• Artificial Intelligence in Networking
• 5G and 6G Networks
• +9 more

Davide Careglio is a Professor at the Department of Computer Architecture, Faculty of Computer Science of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He is a principal researcher in the CBA - Broadband Communication Systems and Architectures group and the IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Group. Academic Rank: Professor Department: Department of Computer Architecture School: Faculty of Computer Science of Barcelona University: Universitat Politècnica de Catalunya Email: davide.careglio@upc.edu His research focuses on next-generation networking technologies, particularly in the domains of 5G/6G, AI-driven network automation, optical and elastic networks, energy efficiency, and the Recursive Internetwork Architecture (RINA). His work integrates machine learning and artificial intelligence to enhance network performance, security, and sustainability. He has made significant contributions to multicast routing, QoS assurance in RINA networks, and delay modeling in multidomain environments. The recent publications highlight a strong trend toward integrating AI and machine learning into network control, particularly for 6G services and secure distributed AI. His work spans modeling, simulation, and real-world experimentation, with applications in smart buildings, vehicular networks, and telecom infrastructure. Key themes include latency estimation, energy optimization, network programmability, and time-sensitive networking. Davide Careglio has been involved in prestigious EU-funded projects such as HORIZON 2020 and HORIZON EUROPE, including initiatives like ALLIANCE, SUNSET, and PRADIOT. He has also contributed to the Erasmus+ HEDY project, focusing on AI in education. He has advised PhD students, including D. Sembroiz, whose thesis focused on smart building IoT platforms. He actively collaborates with leading researchers such as Luis Velasco, Josep Solé-Pareta, and Salvatore Spadaro. He serves on the scientific committees of major conferences including IEEE GLOBECOM, IEEE ICC, and ICTON. He is a member of the CBA and IDEAI-UPC research groups at UPC, which are at the forefront of innovation in optical networking, AI for networks, and sustainable telecom infrastructures. These groups lead projects in programmable, knowledge-defined, and self-managed networks.

• Telecommunications
• Network Resilience
• Optical Fiber Sensing
• +5 more

Haakon Bryhni is a Research Professor at Simula Research Laboratory's Center for Resilient Networks and Applications, focusing on telecommunications infrastructure and network resilience. His work spans optical fiber sensing, Cloud-RAN architecture, 5G networks, and network security. Expertise in telecommunications and network infrastructure Contributions to optical fiber sensing and AI-driven network outage classification Active in public outreach and policy analysis for ICT resilience Recent research explores Sagnac loop sensing systems , Cloud-RAN integration , and cybersecurity preparedness in Norway. Collaborations include international conferences and publications in Optics & Laser Technology , Sensors , and IEEE journals. Contact: haakonbryhni@simula.no

Nader F. MirView profile

Professor

• Computer Networks
• Protocols
• TCP/IP
• +15 more

Dr. Nader F. Mir is a Professor of Electrical Engineering at San Jose State University, where he serves in the Charles W. Davidson College of Engineering within the Electrical Engineering Department. His office is located in Engineering Building E251 at One Washington Square, San Jose, California 95192. With extensive experience in academia and research, Dr. Mir has served as Department Associate Chair and continues to contribute significantly to the field of electrical engineering and computer networking. Ph.D. in Electrical Engineering, Washington University (1995) Author of the widely adopted textbook 'Computer and Communication Networks' (3rd Edition expected 2023-24) Holds US Patent 7,012,895 B1 for 'Packet-Switching Network with Symmetrical Topology' Series Technical Editor for IEEE Communications Standards Magazine (2015-present) Dr. Mir's research spans computer networks, protocols, TCP/IP, virtualization, AI, cloud data centers, network security, and multimedia networking. His work focuses on the intersection of theoretical networking principles and practical implementation challenges, particularly in emerging technologies like software-defined networking and network function virtualization. He has made significant contributions to understanding high-speed switching systems, multimedia streaming optimization, and cloud network architecture. His recent publications demonstrate a clear trajectory toward AI-driven network management, edge computing, and optimizing multi-tenant cloud environments. These works reveal his ability to adapt to evolving technological landscapes while maintaining focus on fundamental networking principles. The publications collectively showcase expertise across computer networking, cloud infrastructure, multimedia systems, and wireless communications. Nancy Wheeler Nelson Faculty Excellence Award (2017) Faculty Service Recognition Award (2017) Faculty Award for Excellence in Scholarship (2015) Faculty Author Award (2014) Most Effective Professor Award from IEEE-SJSU Society (2004) Dr. Mir has supervised numerous theses and graduate projects while serving on various Master's and PhD thesis defense committees. Beyond teaching and research, he has secured research grants including a CENIC Network Research Foundation grant for forest fire protection through surveillance sensor networks. His editorial work with IEEE publications has shaped discourse in communications standards and networking technologies. Dr. Mir's leadership extends to organizing major conferences including the IEEE International Conference on Computer Communication Networks and serving as chair for multiple international conferences.

Thierry TurlettiView profile

Researcher

• Wireless Networks
• Programmable Networks
• Networking Experimental Platforms
• +5 more

Thierry Turletti is a researcher at the DIANA project-team within Inria Sophia Antipolis-Méditerranée, affiliated with Université Côte d'Azur. He holds a Master (DEA), PhD, and HDR in Computer Science from the University of Nice Sophia Antipolis (1990, 1995, 2006). His research focuses on Wireless Networks , Programmable Networks , Networking Experimental Platforms , and Reproducible Research . He co-led the R2lab testbed for 5G experimentation and contributed to projects like NAI, MUST, FPNG, SLICES-RI, DrIVE, and FIT-R2Lab. Education : DEA (1990), PhD (1995), HDR (2006) in Computer Science from University of Nice Sophia Antipolis Professional Affiliations : Inria Sophia Antipolis (1995-present), MIT Laboratory for Computer Science (postdoc 1995-1996) His research interests span Wireless Networks , Programmable Networks , and Reproducibility in network experimentation. Recent work explores 5G/6G observability , network slicing , and decentralized SDN control . He has advised over 15 PhD students, including Yasser Amami (5G/6G observability), Mohammad Bagher Tavassoli (5G/6G slice evaluation), and Alina Quereilhac (network evaluation environments). Scientific contributions include 30+ journal and conference publications on topics ranging from WiMAX modules to DTN routing and SDN frameworks . He has served on numerous technical program committees and editorial boards for journals like Wireless Networks and Advances in Multimedia . Awards include Senior Member of IEEE (2007) Senior Member of ACM (2009) Best Paper Awards at ICNS3 (2010), NS-3 Workshop (2013), and WNS3 (2015) .

• Wireless Communications
• Mathematics
• Artificial Intelligence
• +5 more

Keivan Navaie is a Professor of Intelligent Networks at Lancaster University’s School of Computing and Communications. He serves as a member of the Independent Scientific Advisory Committee at the Alan Turing Institute, overseeing the £100 million BridgeAI programme, and previously as Principal AI Technology Advisor to the UK Information Commissioner’s Office (ICO). He is recognized with Fellowships from the Institution of Engineering and Technology (IET), Chartered Engineer status in the UK, Senior Fellowship of the Higher Education Academy (HEA), and the IEEE Young Investigator Award. Research Focus: Wireless communications, mathematics, artificial intelligence, 6G networks, blockchain technology, edge computing, cognitive radio networks, and non-orthogonal multiple access (NOMA). Supervision: Actively supervises PhD students in areas like wireless communications and mathematical modeling. Projects: Involved in distributed learning, blockchain integration, 6G research, and spectrum sharing systems. Awards: IEEE Young Investigator Award, Fellow of IET, Chartered Engineer, Senior Fellow of HEA.

Sanjay G. RaoView profile

Professor

• Network Synthesis and Design
• Internet Video Distribution
• Computer Networking
• +3 more

Sanjay G. Rao is a Professor in the School of Electrical and Computer Engineering at Purdue University, with a courtesy appointment in Computer Science. He joined Purdue in 2005 and has held positions as Assistant, Associate, and full Professor since then. His research focuses on network synthesis, verification, and Internet video distribution. He has been recognized with the NSF CAREER Award and ACM SIGMETRICS Test of Time Award for his foundational work on End System Multicast. Education: B.Tech in Computer Science and Engineering, Indian Institute of Technology, Madras (1997) M.S. and Ph.D. in Computer Science, Carnegie Mellon University (2000, 2004) Research Interests: His work spans network design and verification, Internet video distribution, and cloud computing. Recent projects include causal reasoning for video streaming, 360° video optimization, and resilient routing algorithms. He leads the Internet Systems Laboratory at Purdue, which develops systems for network performance guarantees and video delivery innovations. Articles Trends: Recent work emphasizes causal inference in video streaming (e.g., Veritas) and perceptual quality for next-generation video (e.g., Dragonfly). Longstanding focus on network synthesis: PCF (2020) and Robust Validation (2017) address resilient design under uncertainty. Early contributions like End System Multicast (2002) pioneered peer-to-peer video streaming. Awards: NSF CAREER Award (2010) ACM SIGMETRICS Test of Time Award (2011) ACM Distinguished Member (2021) Purdue Seed of Success Award (2017) Advising & Grants: Supervised 15+ PhD students, many now in academia and industry (e.g., Meta, Google, AT&T). Secured $4M+ in grants from NSF, industry (Google, Cisco, Amazon), and federal programs. Notable grants include NSF support for video optimization (2022-2025) and network synthesis (2023-2027). Labs & Teams: Internet Systems Laboratory (ISL): Focuses on scalable network solutions and video streaming. Collaborations with industry (e.g., Amazon Prime Video, Meta) on real-world deployment challenges.

Amy BabayView profile

Assistant Professor

• Distributed Systems
• Networking
• Resilient Systems
• +3 more

Dr. Amy Babay is an Assistant Professor at the University of Pittsburgh’s School of Computing and Information, with joint appointments in the Department of Informatics and Networked Systems and the Department of Computer Science. She holds a PhD (2018) and MSE (2014) in Computer Science from Johns Hopkins University, along with a BA in Cognitive Science (2012). Her research focuses on distributed systems and networking, emphasizing resilient critical infrastructure and next-generation internet services. Notable projects include the Spire intrusion-tolerant SCADA system for power grids and structured overlay networks for low-latency applications. Her work has been recognized with awards, including the Best Paper at IEEE ICDCS 2017. Babay’s research also explores technology’s role in community resilience and cybersecurity challenges in smart cities. She teaches advanced distributed systems, networks, and programming courses. Key contributions include the Spines overlay platform and Prime replication engine. Her lab, RSSLab, actively develops solutions for resilient infrastructure and cybersecurity threats. Publications span topics like intrusion-tolerant systems, epidemic modeling, and network resilience. She collaborates with institutions like Sandia National Labs and Hawaiian Electric Company. Contact: babay@pitt.edu, located at 701B Information Sciences Building.

• Computer Networking
• Network Architecture
• Quality of Service
• +4 more

Jordi Domingo-Pascual is a distinguished academic and researcher in the field of computer networking, affiliated with Universitat Politècnica de Catalunya (UPC) in Barcelona, Spain. With a publication record spanning nearly three decades from 1994 to 2022, he has established himself as a leading expert in network architecture, quality of service, and network performance analysis. His work has significantly contributed to advancements in networking technologies including Software-Defined Networking, Locator/Identifier Separation Protocol (LISP), and wireless network optimization. Dr. Domingo-Pascual's research primarily focuses on network architecture and performance , with specific expertise in: Quality of Service (QoS) mechanisms in heterogeneous networks Locator/Identifier separation protocols and their scalability Software-Defined Networking control plane optimization Wireless network capacity estimation and performance analysis Inter-domain routing and multicast solutions Traffic measurement and hidden traffic analysis His work bridges theoretical network models with practical implementations, often collaborating with industry partners to address real-world networking challenges. Throughout his career, Domingo-Pascual has evolved from early ATM network research in the 1990s to IP/MPLS integration in the 2000s, and more recently to Software-Defined Networking and network function virtualization. His most recent publications (2020-2022) show a strong focus on controller placement optimization, addressing critical challenges in network latency and reliability. This represents a natural progression from traditional networking protocols toward more modern, flexible network architectures that can adapt to evolving service requirements. Dr. Domingo-Pascual has mentored numerous researchers and collaborated extensively with colleagues across Europe and internationally. His research group at UPC has been particularly active in projects related to European Union-funded initiatives in networking technologies. While specific grant details aren't provided in the available information, his consistent publication record suggests sustained research funding throughout his career.

Jae Woo LeeView profile

Senior Lecturer

• Computer Science
• Networking
• Systems Programming
• +5 more

Jae Woo Lee is a Senior Lecturer in the Department of Computer Science at Columbia University , where he has been since 2008. He serves as Director of Undergraduate Studies for BA Programs and Associate Chair for Undergraduate Education. His research focuses on network architecture, programmable routers, and computer science education. Education: B.A. in Physics from Columbia College (1994) Ph.D. in Computer Science from Columbia University (2012) Research interests include: NetServ : A programmable router architecture for deploying in-network services on edge routers using Java and OSGi. Demonstrated at GEC9. Content-Centric Networking : Projects like CCNxServ for dynamic service scalability and GRAND for named data version control. DHT and Multicast : Work on large-scale DHT bootstrapping and churn-immune architectures. Location-Based Services : Indoor localization for emergency services and population density-driven map simplification. Publications reflect expertise in networking (Cloud Computing, NetServ, Content-Centric Networking), distributed systems (DHT, Peer-to-Peer), and CS education. Articles span 2007–2015, with recent work on container-based cloud networking and future internet architectures. Teaching awards include: SEAS Alumni Association Distinguished Faculty Teaching Award (2016) Columbia University Presidential Teaching Award (2011) Andrew P. Kosoresow Memorial Award (2009) Gold Nugget in CULPA (2011) Featured in Bwog's Best Classes Ever (2012) Teaching emphasizes hands-on learning. Courses include Advanced Systems Programming, C++ for C Programmers, Operating Systems, and Essential Data Structures. Redesigned COMS W3157 to focus on project-based learning with a capstone web server project.

Fernando PedoneView profile

Professor

• Dependable Distributed Systems
• Distributed Algorithms
• Distributed Data Management Systems
• +6 more

Fernando Pedone is a Full Professor at the Faculty of Informatics, Università della Svizzera italiana (USI), leading the Computer Systems Institute (SYS). He holds a Ph.D. in Computer Science from EPFL (1999). His research focuses on dependable distributed systems, distributed algorithms, and fault-tolerant data management. Pedone has authored over 70 papers and co-edited 'Replication: Theory and Practice.' Roles: Full Professor, SYS Director Affiliations: USI, Swiss National Science Foundation (SNSF), Interchain Foundation Teaching: Distributed Algorithms, Distributed Systems, Operating Systems Research interests span atomic multicast protocols, state machine replication, blockchain synchronization, and consensus algorithms. His work bridges theoretical foundations with practical implementations, emphasizing scalability and fault tolerance. Pedone's projects are sponsored by entities like SNSF, CTI, and Microsoft Research. Notable contributions include 'Heron' (shared-memory state replication), 'PrimCast' (atomic multicast), and studies on blockchain state synchronization. His lab oversees over 20 PhD students, with alumni holding roles in academia and industry. Grants and collaborations include partnerships with the Hasler Foundation, European Commission, and Western Digital Research. Pedone actively participates in conferences like Middleware, DSN, and EuroSys.