Find Academic Supervisors

• Telecommunications
• Wireless Networking
• Network Architecture
• +3 more

Dr. Kevin Ryan is a Teaching Professor and Distinguished Teacher-Mentor at Stevens Institute of Technology’s School of Business. He transitioned to academia in 2001 after 23 years at Bell Labs/Lucent Technologies, where he specialized in network access, data communications, and wireless networking. He teaches graduate courses on 4G/5G/6G wireless systems, software-defined networking (SDN), and network function virtualization (NFV), as well as undergraduate courses in Python programming, mobile app development, and data analytics. Education: PhD (1996) in Electrical Engineering, Stevens Institute of Technology MS (1980) in Electrical Engineering, Massachusetts Institute of Technology BE (1978) in Electrical Engineering (summa cum laude), Manhattan College His research focuses on dynamic spectrum allocation, 4G/5G/6G networks, network architecture, and quality of service. He has co-authored patents on spectrum allocation methods and published extensively in telecommunications journals and conferences. Ryan has received numerous teaching awards, including the 2023 Distinguished Teacher-Mentor Award and the 2019 Alumni Association Outstanding Teacher Award. Ryan has held leadership roles, including Director of the “Network and Communication Management and Services” graduate program and membership on the School of Business Promotions and Tenure Committee. His professional service includes grants funded by NSF and industry partnerships, such as the “Dynamic Intelligent Management of Spectrum for Ubiquitous Mobile Networks” project. He also contributes to patent innovations and has taught courses across multiple departments, including Telecommunications Management, Electrical and Computer Engineering, and Computer Science.

Muddesar IqbalView profile

Senior Lecturer

• Smart IoT
• FPGAs
• Blockchain
• +8 more

Muddesar Iqbal is a Senior Lecturer in Computer Science and Informatics at the British University in Egypt, specializing in Smart Internet Technologies (SuITE). He is an academic entrepreneur integrating teaching, R&D, and enterprise activities to address social and business challenges through technological innovation. Education: PhD in Open Source Communication Networks from Kingston University (2010). His research spans 5G/B5G/6G networks, Smart IoT, FPGAs, Blockchain, Collaborative Cognitive-Communication Systems, AI-enabled Recommendation Systems, and Chatbots. His recent work focuses on federated learning, edge computing sustainability, and secure communication in virtualized industrial networks. He has secured international funding from Innovate UK, Horizon 2020, Erasmus, British Council, and HEC for R&D and capacity-building projects. Notably, his 2011 project on wireless mesh networks was showcased at Turkmenistan’s International Exhibition. Awards: Tutoring the Prize Winner (2005, Computer Fundamentals) Tutoring the Prize Winner (2010, Information System Project Management) He contributes to consultancy projects, including the development of the world-first digital airport trolley "cTrolley" in collaboration with Chigoo. His leadership roles include Coordinator for the Smart Internet Technologies Group (SuITE) and Postgraduate Research Student Coordinator at London South Bank University (LSBU).

José Antonio LázaroView profile

Associate Professor

• Optical Communications
• 5G/6G Networks
• Telecommunications
• +5 more

José Antonio Lázaro is an Associate Professor at the Optical Communications Group (GCO) and former Vice Dean of International Relations at the School of Telecommunications Engineering (ETSETB) at the Universitat Politècnica de Catalunya (UPC). He holds a Ph.D. in Physics from the University of Zaragoza (1999) and has extensive experience in research and industry, including roles at ALCATEL-LUCENT and as a Ramón y Cajal Researcher at UPC. His research focuses on optical communications, 5G/6G networks, quantum key distribution, and connected mobility. Education: Ph.D. in Physics (University of Zaragoza, 1999), M.B.A. in Business Administration Roles: Coordinator of Horizon-JU-SNS project (6G-EWOC), leader of multiple EU/Spain projects (e.g., TEYDE, SUNSET) Research Groups: Optical Communications Group (GCO), CCABA Advanced Broadband Communications Centre His work emphasizes AI-enhanced optical-wireless 6G networks, low-latency infrastructure, and mmWave systems. He has authored over 170 peer-reviewed publications and 18 patents. Notable contributions include projects on fiber-optic networks, quantum communication protocols, and MIMO radar systems for ADAS applications. Grants & Projects: Leading Horizon Europe-funded projects (6G-EWOC, ELEGANT) and Spanish initiatives (UNICO 6G). Active in EU programs like ALLIANCE for 5G/6G network solutions. Labs/Teams: Core member of the GCO and CCABA, collaborating with international partners in Nokia, Fujitsu, and EU research networks.

• Optical Communications
• All-optical Networks
• Traffic Engineering
• +8 more

Salvatore Spadaro is a Full Professor in the Optical Communications group at the Universitat Politècnica de Catalunya (UPC), affiliated with the Signal Theory and Communications Department. He holds M.Sc. and Ph.D. degrees in Telecommunications Engineering from UPC, along with a Dr. Ing. in Electrical Engineering from Politecnico di Torino. His research focuses on optical networking advancements, including all-optical networks, traffic engineering, resilience, optical transmission technologies, and software-defined networking (SDN)/network function virtualization (NFV). He is a Senior IEEE Member since 2016. Education: M.Sc. in Telecommunications Engineering, Universitat Politècnica de Catalunya (2000) Ph.D. in Telecommunications Engineering, Universitat Politècnica de Catalunya (2005) Dr. Ing. in Electrical Engineering, Politecnico di Torino (2000) Research Interests: His work emphasizes cutting-edge topics such as multi-granular optical switching, optical network virtualization, deterministic networks for 5G/6G, disaggregated data center architectures, and the integration of machine learning into network control systems. He explores energy-efficient optical transmission techniques, including probabilistic constellation shaping and spatial division multiplexing (SDM), while addressing challenges in latency-sensitive industrial control systems and IoT applications. Publications & Awards: With over 150 publications, his recent work highlights advancements in AI-driven network control for deterministic services, energy savings in flex-grid optical networks, and failure analysis of ML/AI-supported disaggregated data centers. His IEEE Senior Membership reflects recognition of his contributions to telecommunications research. Key Contributions: Spadaro leads projects on network slicing for 5G/6G, autonomous resource management in optical data centers, and cross-domain orchestration of time-sensitive services. His lab develops experimental frameworks for SDN-enabled optical infrastructures and collaborates on international initiatives like the ALLIANCE project for 5G beyond networks.

• Artificial Intelligence
• Big Data
• Internet of Things
• +3 more

Ray Walshe is an Assistant Professor at the School of Computing within Dublin City University's Faculty of Engineering and Computing. His research focuses on standardization frameworks for emerging technologies including Artificial Intelligence, Big Data, IoT, and Cloud Computing. He holds leadership roles in international standards bodies including ISO/IEC JTC1 SC42 (AI), Big Data Value Association, and United Nations standards groups. Dr. Walshe's research examines the circular relationship between innovation, disruption, and standardization across digital domains. Key interests include developing reference architectures for big data systems, ethical AI implementation, and leveraging technology for sustainable development goals. His work connects technical specifications with policy frameworks and global governance. Through projects funded by SFI, EI, EU FP7 and Horizon 2020, he explores applications of cloud infrastructure, data analytics pipelines, and IoT ecosystems. Recent publications demonstrate a strong focus on ICT standardization landscapes, QoE-driven network resource management, and blockchain-enabled decentralized science models. As Digital Leader for the World Economic Forum and expert for multiple international organizations, Dr. Walshe contributes to technology policy development while maintaining active research in biocomputation, bioinformatics, and agent-based simulation systems.

Behnam DezfouliView profile

Associate Professor

• Internet of Things (IoT)
• Networking
• Cyber-Physical Systems
• +6 more

Behnam Dezfouli is an Associate Professor in the Department of Computer Science and Engineering at Santa Clara University, USA, and Director of the IoT Research Lab (SIOTLAB). His research focuses on IoT systems, edge/fog computing, network security, and software-defined networking. He teaches courses on IoT, computer networks, and programming. Affiliations: IEEE Senior Member, IEEE Communications Letters Associate Editor. Research: IoT protocols, energy-efficient communication, AI-driven network optimization, and humanitarian tech applications like flood monitoring (Flomosys). Publications: Over 60 papers in journals like IEEE Transactions and conferences such as INFOCOM and GLOBECOM, emphasizing IoT security, edge computing, and wireless protocols. Projects: Developed platforms like the Fog Development Kit (FDK), MonFi for network monitoring, and Sensifi for ultra-high-rate sensing. Grants & Recognition: Senior Member of IEEE, leading industry collaborations and litigation consulting.

Fatima AnwarView profile

Assistant Professor

• Cyber-Physical Systems
• IoT Security
• Embedded Systems Design
• +3 more

Fatima Anwar is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst, affiliated with the College of Engineering. She leads the EMTECH Lab, focusing on trustworthy, time-aware systems for Cyber-Physical Systems (CPS), IoT, and emerging technologies like AR/VR. Her research emphasizes security, privacy, and fairness in distributed embedded systems. Education: PhD in Electrical & Computer Engineering (UCLA, 2019), advised by Prof. Mani Srivastava. Bachelor's from UET Lahore (Pakistan) and Master's from Ajou University (South Korea). Research Interests: Designing secure time-aware systems, mitigating biases in federated learning, ensuring safety in mixed reality, and advancing edge computing. Key projects include TimeGuard for secure timing, Haest for IoT synchronization, and Holoset for VR pose estimation. Grants/Awards: NSF CAREER Grant (2022), MIT EECS Rising Star (2024), ADVANCE Faculty Fellow (2024-2025). Her work has been featured in venues like IEEE RTAS, ACM FAccT, and IEEE TVCG. Advising: Supervises PhD students Yasra Chandio, Adeel Nasrullah, Khotso Selialia, and Momin Khan. Active in diversity initiatives like the CRA-E Graduate Fellowship program. Lab Activities: Open-source contributions, collaboration on human-centric systems, and outreach programs for underrepresented groups in STEM.

• Distributed Systems
• Network Function Virtualization
• Systems Correctness
• +4 more

Aurojit Panda is an Assistant Professor of Computer Science at New York University's Faculty of Arts and Science. His research focuses on lightweight mechanisms for system correctness, network function virtualization, and distributed systems. He holds a Ph.D. from UC Berkeley and a B.S. from Brown University. Education: Ph.D., Computer Science, UC Berkeley (2017) B.S., Math-Computer Science, Brown University (2008) Research Interests: Network Function Virtualization (NFV) Distributed Systems Correctness Machine Learning Tooling and Optimization Operating Systems and SmartNIC Offloading Recent work includes designing distributed shared logs for datacenters, analyzing straggler effects in large model training, and developing tools like NNSmith for deep learning compiler testing. Teaching includes courses on distributed systems, operating systems, and big data/machine learning. He is actively involved in research teams such as NetSys Lab and contributes to open-source projects like NetBricks and BESS.

• Cloud Computing
• Cybersecurity
• Internet of Things (IoT)
• +7 more

Gokop Goteng is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science, specializing in cloud computing, IoT security, and middleware systems. He holds a PhD in Grid Computing from Cranfield University (2009) and has held postdoctoral roles at Qatar Computing Research Institute (2012-2014) and King Abdullah University of Science and Technology (2012-2014). Currently, he leads the BUPT joint program's Cloud Computing and Middleware modules, focusing on industry-relevant skills in distributed systems and software engineering. His research integrates cloud technologies, cybersecurity, and AI to address challenges in smart cities, energy systems, and digital healthcare. Notable projects include malware detection in IoT devices and optimizing cloud service latency via deep learning. He is an Oracle Certified Professional (OCP), Java Certified Programmer (JCP), and active member of the British Computer Society (BCS) and IEEE. Teaching responsibilities include Cloud Computing (BUPT joint programme) Middleware for IoT Software Engineering , emphasizing hands-on programming with APIs, secure middleware design, and team-based software development. His work emphasizes industry collaboration, as seen in AWS Academy partnerships to enhance student employability. He maintains a research website at gotengphdstudents for doctoral supervision and project updates.

Ivan VidalView profile

Associate Professor

• Network Functions Virtualization (NFV)
• 5G networks
• Unmanned Aerial Systems (UAS)
• +3 more

Ivan Vidal is an Associate Professor at Universidad Carlos III de Madrid, affiliated with the Department of Telematics Engineering at Escuela Politécnica Superior. He holds a Telecommunication Engineering degree from the University of Vigo (2001) and a Ph.D. in Telematics Engineering from Universidad Carlos III de Madrid (2008). His career includes roles as Teaching Assistant (2002–2008) and Visiting Professor (2008–2022) before his current position. Research focuses on Network Functions Virtualization (NFV), 5G networks, unmanned aerial systems, network security, Information-Centric Networking (ICN), and multimedia networking. He leads projects like H2020 FISHY (cyber resilient supply chains) and H2020 LABYRINTH (drone traffic management), and co-leads the national project TRUE5G (self-managed 5G networks). His work involves collaborations with institutions like Telefónica I+D and the Instituto de Telecomunicações (Portugal). Teaching includes courses on Audiovisual Services across three undergraduate programs. He contributes to the NETCOM research group, managing projects like the L2S-M open-source Kubernetes networking solution. Ongoing initiatives emphasize multi-site NFV testbeds and 5G vertical services integration.

Asad RehmanView profile

Assistant Professor

• Software-defined networking
• Fault-tolerance and reliability of networks
• Cloud and Edge Computing
• +7 more

Asad Rehman, Ph.D., is a faculty member in the Department of Mathematics and Computer Science at Saint Louis University-Madrid (SLU-Madrid), part of the College of Arts and Sciences. His research focuses on next-generation networking technologies, including software-defined networking, cloud and edge computing, 5G/B5G networks, and fault-tolerant systems. Research Interests: Software-defined networking (SDN) and Network Functions Virtualization (NFV) Fault-tolerance and reliability in future networks Cloud and Edge Computing Service Assurance in virtualized environments 5G and Beyond 5G (B5G) Networks Generative AI for urban air mobility and disaster response His recent publications, primarily in IEEE Access and major telecommunications conferences, reflect a strong trend toward resilient, intelligent, and cloud-native network architectures. His work integrates AI-driven solutions with critical communications, particularly in disaster response and public safety. Many of his studies evaluate real-world implementations, performance comparisons (e.g., containers vs. unikernels), and experimental testbeds for 5G applications. Scientific Awards and Recognition: 2024 Research and Conference Travel Grant – SLU-Madrid FCT Ph.D. Research Grant (2015–2019), Portugal Visiting Scholar Grant from Telenor and FCT (2019) TÜBİTAK Project Grant (2013–2014) University of Sunderland International Scholarship (2010–2011) Multiple Certificates of Excellence from Elsevier and IEEE in ethics, research data management, social impact, funding, and industry collaboration Advising and Grants: While no formal students are listed, Dr. Rehman has been supported by significant research funding from national and international bodies, including the EU’s Horizon 2020 program (e.g., 5G-EPICENTRE, DARLENE, AC3, FIDAL, SOCA, 5GO), TÜBİTAK (Turkey), and FCT (Portugal). He has contributed to large-scale collaborative projects focused on public protection, disaster relief, and cognitive cloud-edge systems. Professional Engagement: Dr. Rehman actively contributes to the scientific community as a peer reviewer for IEEE, Springer, Wiley, and Oxford journals. He is a member of several IEEE communities, including IEEE Communications Society, IEEE Future Networks, Cloud Computing, and Smart Cities.

• Network Function Virtualization
• Terahertz Communications
• 6G Networks
• +12 more

Dr. Alan Davy is Head of Department at the Walton Institute for Information and Communications Systems Science, within the Department of Computing and Mathematics at South East Technological University (SETU), Ireland. He is an active faculty member and currently accepting PhD students, indicating ongoing academic leadership and research supervision. His research expertise lies at the intersection of advanced networking and artificial intelligence. Key interests include Network Function Virtualization (NFV) , 6G Terahertz Communications , Digital Twin technologies , and Quality of Service (QoS) management in latency-sensitive environments. He also explores applications of deep learning and LSTM models for Service-Level Agreement (SLA) prediction and violation prevention. The most recent publications demonstrate a strong trend in applying machine learning to network automation and performance optimization, particularly in next-generation wireless systems. His work bridges theoretical modeling with practical implementation in software-defined and virtualized network architectures. Dr. Davy has contributed to editorial leadership, including a special section in IEEE Access on Software-Defined Networks for Smart Grids. His research has resulted in over 68 publications and significant citation impact, with work referenced in patents, highlighting real-world relevance. He supervises postgraduate research, with a record of five supervised works, though specific student names are not listed. His research is conducted within the Walton Institute, a center focused on information and communications systems science, suggesting collaborative team-based projects in next-generation networking technologies.

• Communication Networks
• Wireless Networks
• Software Defined Networking (SDN)
• +4 more

Shyam Parekh serves as an Adjunct Associate Professor at the University of California, Berkeley, specializing in communication networks architecture and performance optimization for wired and wireless systems. He actively teaches EE 290-10 (Wireless Networks) and EE 122 (Introduction to Communication Networks), engaging students at both graduate and undergraduate levels in cutting-edge networking concepts. Professor Parekh earned his Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley, establishing the foundation for his three-decade career in networking research. His academic journey reflects deep institutional ties and continuous contribution to the field. His research focuses on communication networks architecture , optimization , and performance analysis , with recent emphasis on Software Defined Networking (SDN) , Network Function Virtualization (NFV) , and data-plane programming . Current projects include the Intelligent RAN Controller (developing machine learning algorithms for 5G/6G network slicing) and the Quantum Internet initiative (addressing fundamental challenges in interconnecting quantum computers). These efforts bridge theoretical analysis with practical implementations, as evidenced by multiple patents and his widely adopted textbook. Over his extensive career spanning from 1986 to 2017, Professor Parekh has demonstrated evolving research focus—from foundational wireless/video streaming work to modern SDN/NFV innovations. His publication pattern shows consistent output with increasing industry relevance, highlighted by seven patents between 2013-2015 and the second edition of his textbook. The research consistently addresses real-world implementation challenges while advancing theoretical understanding. Professor Parekh mentors students through active research projects, currently involving Angela Wang and Zhechang Xu on the Intelligent RAN Controller. His teaching responsibilities in core networking courses demonstrate commitment to education, while his WiMAX Forum co-chair role (2008-09) indicates industry engagement. Though specific grant details aren't listed, ongoing projects suggest sustained research support. Operating without a formally named laboratory, Professor Parekh leads research through two primary initiatives: the Intelligent RAN Controller team focusing on machine learning for network control, and the Quantum Internet group exploring quantum network architectures. These projects foster collaboration between students and industry partners to advance networking frontiers in 5G/6G and quantum communication domains.

Carlos Jesús Bernardos CanoView profile

Professor

• IP Mobility Management
• Network Virtualization
• Cloud Computing
• +7 more

Carlos Jesús Bernardos Cano is a Professor at the Telematics Engineering Department of University Carlos III of Madrid, part of the School of Engineering. He holds a Telecommunication Engineering degree (2003) and a PhD in Telematics (2006), both from the same university. Teaching: Courses on Advanced Communications Networks, Mobile Networks, NFV/SDN, and Software Networks. Research: Focuses on IP mobility management, network virtualization, 5G networks, vehicular communications, and experimental evaluation of mobile wireless networks. Projects: Led EU-funded initiatives like 5G-TRANSFORMER, 5Growth, and MEDIEVAL as Project Coordinator or Technical Manager. Standardization: Active IETF contributor with co-authored RFCs (e.g., RFC 6276, RFC 7028, RFC 7148) and co-chair roles in multiple working groups. His recent publications emphasize 5G network slicing, NFV/MEC integration, and distributed ledger applications, reflecting his leadership in evolving mobile and cloud-based architectures. Scientific contributions include a Best Paper Award at IEEE INFOCOM 2011 and over 100 peer-reviewed articles. Advising: Mentored numerous PhD and Master’s students (e.g., Fabio Giust, Marco Gramaglia). Collaborations: Works closely with IMDEA Networks Institute and international institutions like University of Cambridge and University of Coimbra.

Wolfgang KellererView profile

Professor

• Communication Networks
• Software Defined Networking (SDN)
• Network Function Virtualization (NFV)
• +7 more

Prof. Dr.-Ing. Wolfgang Kellerer is a full professor at the Chair of Communication Networks within the Department of Computer Engineering , TUM School of Computation, Information and Technology . He also serves as an adjunct professor in the Department of Informatics. His research focuses on adaptive, programmable communication networks, particularly Software Defined Networking (SDN) , Network Function Virtualization (NFV) , and 6G technology . He has contributed to quantifying network flexibility and AI-driven network management. Member of the ERC Peer Review Panel (2023-2024) Scientific Director of TUM Venture Lab Robotics/AI/Communication (2020-present) Editorial roles: IEEE Transactions on Network and Service Management , IEEE Communications Surveys & Tutorials His research spans from 5G to 6G , emphasizing ultra-low latency, resilience, and cross-layer optimization. Key projects include 6G-life , 6G Future Lab Bavaria , and ERC FlexNets , with over 300 publications and 40 patents. Scientific Awards include the ERC Consolidator Grant (2015) , IEEE Fellow (2025) , and multiple best paper awards at IEEE/IFIP CNSM, IEEE Future Networks, and ACM SIGCOMM.