Find Academic Supervisors

Mohammed Amine TogouView profile

Assistant Professor

• 5G/6G Networks
• Software-Defined Networking
• Blockchain Applications
• +3 more

Mohammed Amine Togou is an Assistant Professor in the School of Computing within Dublin City University's Faculty of Engineering and Computing. His research specializes in performance optimization and protocol design for next-generation networks including 5G/6G systems, SDN/NFV architectures, and blockchain-enabled solutions. With PhD in Computer Science from University of Montreal and MSc in Computer Networks from Al Akhawayn University, he has published over 40 peer-reviewed papers. Current research develops machine learning solutions for network management challenges including: interference mitigation in O-RAN architectures, adaptive streaming for immersive media, and blockchain-based network slicing. He serves as guest editor for Electronics journal's special issue on 5G Technology and IoT, and supervises PhD students in network optimization and distributed computing. Teaching responsibilities include distributed systems and network security courses, with pedagogical research on technology-enhanced learning methods in computing education.

Navrati SaxenaView profile

Associate Professor

• 5G wireless
• 6G wireless
• IoT
• +7 more

Navrati Saxena is an Associate Professor in the Department of Computer Science at San José State University (SJSU), California, USA. She previously served as an Assistant/Associate Professor and Director of the Mobile Ubiquitous System Information Center (MUSIC) at Sungkyunkwan University (SKKU), South Korea. Her research focuses on next-generation wireless networks (5G/6G), IoT, vehicular communications, satellite networks, and machine learning applications in telecommunications. She holds a Ph.D. in Informatics and Communications Engineering from the University of Trento, Italy. Education: Ph.D. in Informatics and Communications Engineering, University of Trento, Italy (2005). Research Interests: 5G/6G wireless systems, IoT, social networking, smart grids, D2D communications, vehicular networks, satellite communications, and machine learning-driven network optimization. Her work spans energy efficiency, network architecture design, and disaster-resilient connectivity. Grants & Awards: Secured over $465,000 in research grants from institutions like the Korea Research Foundation and Samsung. Notable awards include the Young Scientist Best Paper Award (Indian Science Congress Association, 2006-2007). Professional Contributions: Supervised 12 Ph.D. students and 22 MS researchers at SKKU. Authored/co-authored one book, two book chapters, and over 90 international journal/conference papers. Served as a guest editor for journals and TPC member for IEEE conferences. Active in diversity initiatives at SJSU, including leadership roles in DEI and anti-racism committees. Labs & Teams: Leads the Mobile Ubiquitous Systems Information Center (MUSIC) at SJSU, focusing on edge-cutting research in wireless networks and education.

Thanasis KorakisView profile

Academic

• Wireless Networks
• Access Layer Protocols
• Cooperative Networks
• +7 more

Thanasis Korakis is a Research Assistant Professor in the Electrical and Computer Engineering Department at NYU Tandon School of Engineering, affiliated with the Center for Advanced Technology in Telecommunications (CATT). He holds a Ph.D. in Computer and Communication Engineering from the University of Thessaly and has been involved in visiting research roles at UC Riverside and CATT. His research focuses on wireless networks, with an emphasis on access layer protocols, cooperative networks, directional antennas, and QoS provisioning. Education: Bachelor of Technology in Informatics, University of Athens (1994) M.S. in Data Networks and Telecommunications, University of Athens (1997) Ph.D. in Computer & Communication Engineering, University of Thessaly (2005) Research Interests: Dr. Korakis’ work spans experimental testbeds (e.g., Witest Lab), 802.11/802.16 standardization, and implementation of cooperative MAC protocols. His contributions include frameworks for cooperative handoff in wireless mesh networks, MAC protocols leveraging directional antennas, and dynamic rate adaptation for video multicast. Recent work explores 5G V-RAN reliability, AI-driven security systems, and IoT testbeds. Publications: His articles cover topics like 5G network optimization, blockchain applications in telecom, and AI in forensic investigations. Notable trends include experimental validation of network functions, security-enhanced systems, and cross-layer protocol design. Scientific Awards: Ericsson Award of Excellence in Telecommunications (2006) Advising & Grants: He leads the Witest Lab and has served on technical committees for ICC, WCNC, and SECON. His work includes grants related to wireless testbeds and standardization efforts. Collaborations involve institutions like CATT and NYU’s Tandon School. Labs & Teams: He directs the Wireless Implementation Testbed Laboratory (Witest Lab), focusing on real-world experimentation with wireless protocols and technologies.

Shih-Chun LinView profile

Associate Professor

• Networking
• Machine Learning and AI
• Communications
• +7 more

Dr. Shih-Chun Lin is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University, part of the College of Engineering. His research focuses on wireless software-defined networking systems, IoT, cyber-physical systems, and communications technologies. He holds a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (2017). His research interests include machine learning applications in networking, network function virtualization, and wireless communication in challenging environments such as underground and underwater systems. He has contributed to advancements in edge computing, vehicular networks, and satellite communication protocols. Dr. Lin has been recognized with awards including the 2020 Distinguished TPC Member Award at IEEE INFOCOM and the 2016 Best Student Paper Award Runner-up at IEEE SCC. His work emphasizes practical implementations alongside theoretical analysis, addressing challenges in next-generation cellular networks and 6G technologies. His publications span topics such as satellite swarm dynamics, federated learning in edge networks, and optical cross-connect architectures. Collaborations focus on integrating AI-driven solutions for network optimization and resilience.

• 5G and 6G
• Network services chain
• SDN
• +7 more

Jordi Mongay Batalla serves as Associate Professor in the Department of Computer Network and Services at Warsaw University of Technology's Faculty of Electronics and Information Technology, while concurrently holding the position of Deputy Director of Research at Poland's National Institute of Telecommunications. His professional influence extends to critical national and international advisory roles including technical membership in the European Blockchain Services Infrastructure, Polish Government adviser for 5G cybersecurity legislation, and technical adviser to the Ministry of Infrastructure for autonomous automotive systems. M.Sc. in Telecommunications Engineering (2000, Universitat Politecnica de Valencia) Ph.D. in Telecommunications (2009, Warsaw University of Technology) Habilitation in Telecommunications (2017, Warsaw University of Technology) His research program centers on next-generation network technologies with dual focus on infrastructure (5G/6G radio systems, O-RAN architectures, SDN/NFV) and applications (IoT ecosystems, Smart Cities, multimedia services). Recent work demonstrates expanding interdisciplinary reach into human-centric domains including metaverse applications for elderly populations and psychological aspects of technology adoption, reflecting his completion of postgraduate studies in psychology and social sciences. Methodologically, he integrates artificial intelligence techniques across wireless networking domains with particular emphasis on security and reliability. Analysis of recent publications (2023-2025) reveals three dominant research trajectories: (1) O-RAN optimization through machine learning-enhanced beamforming and security validation, (2) resilient UAV network architectures for disaster scenarios featuring novel clustering algorithms, and (3) IoT-cloud integration for healthcare and smart city applications. His work consistently addresses practical implementation challenges while maintaining strong connections to standardization efforts through ITU-T SG-12 and European regulatory frameworks. Dr. Mongay Batalla leads the Next Generation Mobile Networks Team at Warsaw University of Technology and has coordinated over 30 national/international research projects including four EU ICT Programme initiatives. His technology transfer activities span two patents (Polish and European) and active participation in the vINCI platform for clinically-validated assisted living solutions. As an IEEE Member since 2010, he maintains strong industry connections through roles in Polish normalization committees and international technical groups.

Nila NilavalanView profile

Professor

• Wireless Communication Systems
• Antennas and Propagation
• Radio Frequency Engineering
• +3 more

Professor Nila Nilavalan is Head of the Department of Electronic and Electrical Engineering at Brunel University London, College of Engineering, Design and Physical Sciences. He holds a PhD in Near-field Microwave Imaging from the University of Bristol (2001) and a B.Sc. in Electrical Engineering from the University of Peradeniya (1995). His research spans wireless communications, RF systems, antennas, and non-destructive testing, with active grants including EU projects on 6G networks (Optic 6G, 6G BRAINS). Research Focus: His work integrates 5G/6G optimization, quantum networking, reconfigurable antennas, and RF-based biomedical diagnostics. Key areas include: Energy-efficient Open RAN architectures MIMO antenna design and mutual coupling reduction Eddy current sensing for industrial pipelines UWB antennas for solar-integrated RF energy harvesting Awards & Honors: Fellow of IET, IEEE Senior Member, HEA Fellow Patent for microwave object-structure measurement (EP 1850743) Advising & Grants: He has supervised 18+ PhD students on topics like wireless sensor networks and antenna design. Major grants include: Biotechnology Research Council: Portable pathogen detection (2018-2021) EU Horizon: 6G BRAINS (2021-2023) Innovate UK: Fire-alarm communications (2019-2021)

• Telecommunications
• 5G Networks
• Mobile Computing
• +7 more

Corrado Puligheddu is a Fixed-term Assistant Professor in the Department of Electronics and Telecommunications (DET) at Politecnico di Torino. His scientific disciplinary sector is IINF-03/A - Telecommunications (Area 0009 - Industrial and Information Engineering). He serves as an invited member of the College of Electronic, Telecommunications, and Physics Engineering and the College of Computer, Film, and Mechatronics Engineering. His research focuses on next-generation telecommunications technologies, particularly 5G and beyond mobile networks, software-defined communication systems, and edge computing applications. Dr. Puligheddu's work bridges theoretical networking concepts with practical implementations in agricultural IoT applications and computer vision task offloading. His publication portfolio reveals a strong emphasis on O-RAN architecture, LPWAN technologies (particularly LoRaWAN), and edge computing solutions for computer vision. The research demonstrates a clear trajectory toward integrating artificial intelligence with telecommunications infrastructure to create more efficient, intelligent network systems that address real-world challenges in precision agriculture and industrial IoT applications. Dr. Puligheddu actively supervises PhD research, currently guiding Elena Filipescu's work on innovative LPWAN technologies for agricultural applications. His teaching portfolio includes advanced courses on 5G and next-generation mobile computing, as well as project-based instruction in software-defined communication systems across multiple academic years (2022-2025). He has co-invented significant intellectual property including the OffloaDNN framework for DNN offloading at the edge and SEM-O-RAN for semantic network slicing, both protected by international patents. These innovations represent practical applications of his research in edge computing and network virtualization.

• Industrial IoT
• Wireless Communications
• Smart Grid
• +5 more

Dr. Sarder Fakhrul Abedin serves as Senior Lecturer in Computer Engineering at Mid Sweden University's Department of Computer and Electrical Engineering since 2021. His research bridges industrial IoT, wireless communications, and AI-driven network optimization with significant contributions to 5G industrial applications and smart grid systems. His educational background includes a B.S. in Computer Science from Kristianstad University (2013) and a Ph.D. in Computer Engineering from Kyung Hee University (2020). During his doctoral studies, he received the President scholarship and conducted research funded by BK21+ and South Korea's Ministry of Science ICT. Research focuses on industrial IoT implementation , 5G network slicing , and AI-driven resource allocation , particularly through deep reinforcement learning and game theory approaches. His work addresses critical challenges in O-RAN architecture, UAV navigation, and edge computing within industrial contexts, with strong emphasis on energy efficiency and reliability. Recent publication trends (2020-2024) reveal increasing focus on 5G industrial deployment (Factory 5G framework), trustworthy AI systems (XAI for intrusion detection), and sustainable network architectures (digital twins for zero-touch management). His collaborative research spans smart transportation, forestry teleoperation, and NOMA-based transmission schemes. President scholarship recipient at Kyung Hee University STINT initiation grant recipient BK21+ and Ministry of Science ICT research funding U.S. Patent No. 10,901,388 for energy demand modeling Korean Patent 1015740260000 for IoT fog networks As Principal Investigator, he has secured multiple research grants including BK21+ projects and Ministry of Science ICT funding. His postdoctoral work at MIUN included STINT-funded initiatives, while current projects focus on sustainable 5G deployments and industrial digital twins. He actively collaborates with industry partners through MIUN's STC Research Centre.

Falko DresslerView profile

Professor

• Wireless Communication Systems
• Edge Computing
• Vehicular Networking
• +9 more

Falko Dressler is a Professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science , Technische Universität Berlin . He holds a PhD and M.Sc. in Computer Science from the University of Erlangen (2003, 1998). Dr. Dressler serves as Associate Editor-in-Chief for IEEE Transactions on Network Science and Engineering and Elsevier Computer Communications , and has chaired major conferences including IEEE INFOCOM and ACM MobiSys . Research Interests : His work focuses on Next-generation wireless systems Distributed machine learning Edge computing resilience Cyber-physical systems Internet of bio-nano-things Network simulation frameworks Recent publications address 5G/6G performance, vehicular networking, and AI-driven communication protocols. Scientific Awards : IEEE Fellow ACM Fellow AAIA Fellow VDE ITG Preis 2023 Member of acatech (German National Academy) Advising : Supervises PhD students in areas like 6G networks , Molecular communication , and Edge intelligence . Has mentored over 25 PhD graduates across institutions like TU Berlin, Paderborn University, and University of Innsbruck. Labs & Teams : Leads the Telecommunication Networks (TKN) group at TU Berlin. Collaborates with institutions in Germany, Austria, Italy, China, and the U.S. Organizes workshops including IEEE VNC and ACM NANOCOM .

Alkan SoysalView profile

Associate Professor

• Next-Gen Wireless Networks
• 5G/6G Systems
• Machine Learning for Communications
• +4 more

Alkan Soysal is a Collegiate Associate Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. His research focuses on next-generation wireless networks (5G/6G), machine learning for communications, adversarial machine learning, and network traffic prediction. He is affiliated with the Wireless @ Virginia Tech research group and maintains an active scholarly profile. Education: Ph.D., University of Maryland, College Park (2008) M.S., University of Maryland, College Park (2006) B.S., Middle East Technical University (METU), Ankara, Turkey (2002) His current research explores cellular traffic prediction under SLA constraints, robustness of adversarial attacks in wireless systems, and age of information in heterogeneous networks. Key contributions include framework development for network slicing and channel-aware defense mechanisms against adversarial signal classifiers. Recent work emphasizes spatiotemporal analysis and GAN-based solutions in next-generation network architectures. Advising & Collaborations: Supervised students including Dr. Evren Tuna (PhD 2023) and Asude (M.S. 2023). Active in conference submissions (e.g., MILCOM 2023, BalkanCom 2023) and peer-reviewed journal contributions. Research integrates machine learning techniques with fundamental wireless communication principles to address emerging challenges in 6G and beyond.

Yiming ZengView profile

Assistant Professor

• Quantum Networking
• Quantum Computing
• Edge Computing
• +3 more

Yiming Zeng is an Assistant Professor at the School of Computing, Binghamton University. He holds a PhD from Stony Brook University and a BS from Shanghai Jiao Tong University. His research focuses on quantum networking, quantum computing, edge computing, distributed systems, differential privacy, and decentralized optimization. He has been recognized with awards including the 2023 Sigcomm Workshop Travel Grant and the 2017 Stony Brook Academic Excellence Fellowship. Education: PhD in Electrical and Computer Engineering, Stony Brook University (2024 expected) BS in Engineering, Shanghai Jiao Tong University Research Interests: Quantum Networking: designing protocols for entanglement routing and management in quantum internets Edge Computing: optimizing edge caching, data offloading, and privacy-preserving techniques in 5G networks Decentralized Optimization: applying game theory to blockchain systems and distributed resource allocation Differential Privacy: developing methods for federated learning and data marketplaces Teaching Experience: Teaching Assistant for courses including Digital Logic Design, Electronics Laboratory, and Introduction to Electrical and Computer Engineering Labs/Teams: Active in quantum internet research and edge computing systems development, though specific lab affiliations are not explicitly stated.

Riccardo PozzaView profile

Researcher

• Internet of Things (IoT)
• Machine Learning
• Network Automation
• +4 more

Riccardo Pozza is the Chief Network Architect at the 5G/6G Innovation Centre, University of Surrey. He holds a PhD (2015) and MSc (2011) in Electronic Engineering from the University of Surrey, and a BSc from the University of Bologna. His work focuses on IoT testbeds, machine learning applications in networks, and energy-efficient communication protocols. Key projects include managing the 5G/6GIC campus testbed for O-RAN compliant NG-RAN development, 3GPP-compliant core networks, and network orchestration systems. He contributes to international initiatives like ESA 5G-TINA and EU H2020 TagItSmart!. His research integrates IoT sensors for social behavior analysis, smart city infrastructures, and opportunistic networking optimization. Education: PhD in Electronic Engineering, University of Surrey (2015) MSc in Electronic Engineering, University of Surrey (2011) BSc in Electronic Engineering, University of Bologna Research emphasizes IoT testbed design, machine learning for network automation, and optimizing communication protocols for resource-constrained devices. His work bridges technical innovation with social research through sensor data analysis in home/offices and energy efficiency strategies. Lab/Team: Leads the 5G/6G Innovation Centre testbed, supporting projects like DCMS Flex5G and UKRI UK India initiatives.

Ralf TönjesView profile

Professor

• Mobile Communication Networks
• Internet of Things (IoT)
• Data Security
• +4 more

Ralf Tönjes is a Professor of Mobile Communications and Project Management at Osnabrück University of Applied Sciences , leading the Mobile Communications Working Group . His affiliation is under the Faculty of Engineering and Computer Science . Previously, he held roles at Ericsson Corporate Research and earned a doctorate summa cum laude in Electrical Engineering from the University of Hanover (1998). He holds dual degrees: a Dipl.-Ing. in Electrical Engineering/Communications (University of Hanover, 1989) and an M.Phil. in Biomedical Engineering (University of Strathclyde, Glasgow, 1990). Research Focus: Mobile communication networks, IoT applications in Industry 4.0/smart cities, data security, and service platforms. Key areas include 5G networks, network synchronization, and secure IoT device configurations. He chairs conferences like the VDE/ITG Mobile Communications Conference (since 2005) and contributes to standardization bodies such as the ITG Technical Committee 5.2. Patents & Innovation: Holds patents on cellular radio network design, multicast transmission protocols, and IoT broadcast systems. Notable projects include OPeRAte (IoT-based cooperative farming) and CityPulse (smart city data analytics). Awards & Leadership: Recognized for his doctoral achievement and as a founding member of the Lower Saxony Data Protection Center (NDZ) . Active in industry partnerships, including the Agricultural Industry Electronics Foundation (AEF) and the iuk Business Network Osnabrück . Teaching: Offers courses on mobile communications, IoT, telematics, and project management across B.Sc./M.Sc. programs in Electrical Engineering and Computer Science. Future Work: Focused on advancing 5G/6G networks, secure IoT deployments, and resilient agricultural process management using BPMN and blockchain technologies.

• Telecommunications
• Emergency Communication Systems
• Structural Health Monitoring
• +6 more

Prof. Fabio Graziosi is a Full Professor in the Department of Engineering and Information Sciences and Mathematics at the University of L'Aquila . He leads research in telecommunications, emergency communication systems, and smart network architectures. His work focuses on innovative solutions for 5G/6G networks, structural health monitoring, and geospatial services, with applications in disaster response and urban digitization. Research Interests include Telecommunications , Emergency Systems , Network Security , and Machine Learning . He has pioneered projects like the INCIPICT initiative, leveraging 5G for smart city infrastructure, and developed frameworks for real-time emergency vehicle detection using CNNs. His work bridges theory and practice, addressing challenges in optical fiber networks, edge computing, and AI-driven threat detection. Publications span over 50 articles, with recent contributions on O-RAN security, geospatial service optimization, and 6G function placement. He collaborates on interdisciplinary projects such as the AMITERNUM archaeological valorization program and structural monitoring systems for historical buildings. Prof. Graziosi directs the department and actively participates in EU and national research initiatives. His lab focuses on cutting-edge technologies for resilient communication networks and IoT-based disaster management systems.

Gines Garcia AvilesView profile

Research Professor

• Telematics Engineering
• 5G/6G Networks
• Network Slicing
• +2 more

Gines Garcia Aviles is a Research Professor in the Department of Information and Communication Engineering at the Faculty of Informatics, Universidad de Murcia. He obtained his doctorate from Universidad Carlos III de Madrid in 2021 with a thesis on network-slicing aware mobile protocols. Research Focus: Professor Aviles specializes in 5G/6G network architectures, O-RAN security, network virtualization, and intelligent networking systems. His work integrates cloud computing and AI into next-generation telecommunications infrastructure. Recent Work (2023-2024): Focuses on security vulnerabilities in Open RAN implementations, drone communication systems using 5G slicing, and architectural frameworks for natively intelligent 6G networks. His DAEMON project establishes a network intelligence plane for autonomous operations. Technical Contributions: Developed practical solutions like POSENS for end-to-end network slicing and Nuberu for virtualized RAN components, validated through experimental testbeds and EU collaborations.