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.
Dr. Awais Aziz Shah is a Lecturer in the School of Computing Science at the University of Glasgow, affiliated with the Glasgow Systems Section (GLASS) and Netlab (Networked Systems Research Laboratory). His research focuses on Software-Defined Networks (SDN), Network Function Virtualization (NFV), and resilient network architectures. He holds a PhD from Politecnico di Bari, Italy, where his thesis involved SDN-based frameworks for VNF orchestration in optical networks. He has collaborated with industry partners like SMOptics and Experis, and worked as a Research Fellow on Scotland’s 5G testbed projects. His research interests span container networking, edge computing, anomaly detection, and cybersecurity. He leads projects like COCOON (Horizon Europe) for power grid cyber protection and ECO-INSIGHT (EPSRC) for sustainability-driven AI systems. He supervises PhD students in areas like NFV orchestration and virtual reality applications. He teaches Advanced Networked Systems, Networks and Operating Systems, and Secured Software Engineering courses. Key grants include ORBICULAR (EPSRC) for satellite image recognition and COCOON for smart grid cybersecurity. His work emphasizes practical solutions for low-latency, energy-efficient networks and resilient systems.
Aravind Srinivasan is a Professor of Computer Science at the University of Maryland, College Park, USA. He holds tenure and has held academic positions at the National University of Singapore and Bell Labs. He completed his B.Tech at IIT Madras and his Ph.D. at Cornell University, with postdoctoral research at the Institute for Advanced Study and DIMACS. His research focuses on randomized algorithms, networking, social networks, combinatorial optimization, and their applications to public health, machine learning, and energy systems. He has published over 115 papers in top journals like Nature and the Journal of the ACM, and his work has received significant recognition, including 1,551 citations for his 2004 Nature paper on disease modeling. Education: B.Tech, Indian Institute of Technology Madras Ph.D., Cornell University Awarded Fellowships from ACM, AAAS, IEEE, and EATCS, he also serves as Editor-in-Chief of the ACM Transactions on Algorithms. His students have secured roles in academia, industry, and government, reflecting his impactful mentorship. His contributions span theoretical computer science and applied domains, with notable work in probabilistic methods, network science, and interdisciplinary applications.
Wendi Heinzelman is a Professor in the Department of Electrical and Computer Engineering and holds a secondary appointment in the Computer Science Department at the University of Rochester. She currently serves as the Dean of the Edmund A. Hajim School of Engineering and Applied Sciences. Her research focuses on wireless communications, mobile computing, and multimedia systems. She earned a BS from Cornell University (1995) and MS/PhD from MIT (1997/2000). EDUCATION: B.S. Electrical Engineering, Cornell University (1995) M.S. Electrical Engineering & Computer Science, MIT (1997) Ph.D. Electrical Engineering & Computer Science, MIT (2000) Her research interests span wireless sensor networks, mobile-cloud computing, and heterogeneous networking. She has pioneered work on energy-efficient protocols and RF energy harvesting systems. Over 150 publications and 55,000+ citations reflect her impactful contributions. Awards include ACM and IEEE Fellowships in Communications, Signal Processing, and Computer Societies. She co-founded N² Women to support women in engineering and is active in professional organizations like SWE and ACM Sigmobile. Her work integrates computational offloading, MIMO systems, and delay-tolerant networks for real-world applications like wildlife tracking (JumboNet) and medical condition management platforms. Current projects emphasize edge computing and multi-hop ad hoc networks.
Sasu Tarkoma is a Professor at University of Helsinki specializing in next-generation computing systems with over two decades of research experience. His work bridges theoretical computer science with practical applications in smart cities, environmental monitoring, and industrial systems. His research interests focus on edge computing infrastructure , federated learning architectures , and AI-driven environmental monitoring systems . Tarkoma's work addresses critical challenges in distributed intelligence, particularly in resource-constrained environments where privacy, energy efficiency, and real-time processing are paramount. Recent work explores the integration of large language models with edge systems and novel approaches to 6G network architectures. The publication record reveals a strategic evolution from foundational mobile computing research to cutting-edge work at the intersection of AI, networking, and sustainability. His recent articles demonstrate particular strength in solving practical implementation challenges for federated learning in industrial settings and developing energy-efficient approaches to AI deployment in constrained environments. Tarkoma maintains an extensive collaborative network across European institutions, frequently partnering with researchers from Aalto University, University of Oulu, and international partners in Asia. His work shows increasing emphasis on environmental applications, particularly air quality monitoring systems using UAVs and mobile sensors.
Wei Liang is a researcher affiliated with Northwestern Polytechnical University , Lancaster University , and University of Southampton . His work spans wireless communication systems, with a focus on integrated sensing and communication (ISAC) , NOMA (Non-Orthogonal Multiple Access) , and UAV-assisted mobile networks . Research Interests : Designing intelligent resource allocation algorithms, secure transmission mechanisms, and cooperative communication frameworks for next-generation networks. Collaborative Focus : Frequent collaborations with Zhu Han , Soon Xin Ng , and Ang Gao on 5G/6G-enabled systems. Recent publications (2024-2025) emphasize predictive beamforming in ISAC systems, multi-UAV optimization , and deep reinforcement learning for spectrum sharing. Trends include OTFS modulation for Doppler mitigation, heterogeneous multi-agent learning , and optimal transport theory for UAV networks.
Dr. Wissam Fawaz is a professor-level academic with extensive contributions to optical networking, vehicular communication systems, and UAV-aided network solutions. His work spans over two decades, focusing on Quality of Service optimization , Free Space Optical (FSO) communications , and Mobile Edge Computing (MEC) . Key collaborations with Chadi Abou-Rjeily, Maurice Khabbaz, and Ken Chen Published in IEEE Transactions on Wireless Communications , IEEE Communications Magazine , and Computer Networks Research interests center on network reliability , resource allocation , and next-generation communication architectures . His work explores: UAV-based network repair mechanisms QoS differentiation in optical and vehicular networks Machine learning integration for MEC task offloading Buffer-aided cooperative FSO systems Recent publications (2022) demonstrate innovations in: Acoustic synchronization protocols D2D-enabled Het-MEC systems Lyapunov-optimized resource allocation
Mohamed M. Abdallah is a researcher affiliated with Hamad Bin Khalifa University in Doha, Qatar, specifically within the College of Science and Engineering . His work focuses on advanced applications of Machine Learning , Artificial Intelligence , and Cybersecurity in domains such as Smart Grids , Internet of Things , and Wireless Communication . His recent research explores Federated Learning under adversarial conditions, optimization of Multi-Agent Systems for task offloading, and Privacy-Preserving Techniques in networked environments. Key contributions include frameworks for Deep Reinforcement Learning (DRL) in Edge Computing and 6G Networks , addressing challenges in Energy Efficiency , Latency , and Data Distribution Shifts . His publications highlight collaborations with institutions like Texas A&M at Qatar and Hamad Bin Khalifa University , emphasizing solutions for Heterogeneous Networks , Blockchain Applications , and Secure Communication in IoT and critical infrastructure.
Aleksandr Ometov is a Senior Research Fellow in the Department of Electrical Engineering, focusing on cutting-edge research in wireless communications, Internet of Things (IoT), and extended reality (XR) technologies. His work bridges hardware optimization, network protocols, and applied engineering solutions. Education: Doctor of Science (Technology) in Telecommunications Technology (2018) Master of Science (Technology) in Information Technology (2016) His research explores adaptive computing, terrestrial and non-terrestrial networks, and spurious signal analysis in wireless systems. Recent publications highlight innovations in maritime IoT, XR-assisted surgery, and UWB-Wi-Fi coexistence challenges. Scientific Awards: ECIU Research Mobility Fund (2024) Mobility grant from Finland to Japan, Taiwan or Russia (2022) Nokia Scholarship (2018) Publisher of the Year Award (2022) Recognition of excellent doctoral dissertation (2019) Ometov actively contributes datasets on IoT, localization, and sensor technologies, demonstrating his commitment to open research. His collaborations span global institutions, focusing on 5G/6G, wearable devices, and mission-critical systems.
Vasilios Mamalis is a Professor at the Department of Informatics and Computer Engineering, University of West Attica, and a member of the Collaborating Scientific Staff at the Hellenic Open University's Informatics program. His academic career spans decades with significant contributions to parallel and distributed computing, wireless sensor networks, and cloud technologies. Education: Diploma in Computer Engineering and Informatics, University of Patras (1993) PhD in Computer Engineering and Informatics, University of Patras (1998) Research Interests focus on parallel algorithms, distributed systems, wireless sensor networks, cloud computing, and information retrieval. His work addresses energy efficiency in ad-hoc networks, optimization techniques, and educational technology applications. Publication Trends show extensive work on WSN clustering, cloud task scheduling, parallel simplex methods, and fog computing applications in education and urban systems. He combines metaheuristics with infrastructure optimization in large-scale networks. Scientific Contributions include editorial roles in the Journal of Balkan Libraries Union and program committee memberships in international conferences. He actively reviews for journals and conferences in computing. Teaching Expertise covers operating systems, parallel computing, distributed systems, and cloud technologies at both undergraduate and postgraduate levels. His Research Leadership involves EU/Greek-funded projects on communication protocols, parallel content-based retrieval, and wireless sensor networks.
Dr. Lei Jiao is a Research Professor at the School of Computer and Data Sciences , University of Oregon, specializing in large-scale systems across cloud, edge, and NextG networks. Their interdisciplinary work integrates network optimization , machine learning , and game theory to enhance system efficiency, scalability, sustainability, and resilience. Research interests include Edge AI , Cloud Computing , Energy Systems , Cybersecurity , and Multimedia . Current affiliations: Center for Cyber Security and Privacy , University of Oregon; former role at Nokia Bell Labs , Ireland. Dr. Jiao's recent publications focus on AI systems in cloud-edge environments, resource orchestration , cybersecurity , and energy-efficient computing . Their work has earned recognition through IEEE/ACM awards and grants from the National Science Foundation and Ripple . As an educator, Dr. Jiao teaches Intermediate Algorithms , Optimization , and Edge Computing Seminars . They actively mentor PhD and MSc students across institutions like Fudan University , BUPT , and University of Oregon .
Abhishek Roy is a researcher at Samsung Electronics, Suwon, South Korea , with a PhD in Software Department, Sungkyunkwan University (2010) . His work focuses on 5G/6G wireless networks , Internet of Things (IoT) , and machine learning-based network optimization . His research interests span beamforming , discontinuous reception (DRX) , device-to-device (D2D) communication , and network slicing , often integrating AI/ML for predictive analytics. Key contributions include optimizing NR-Unlicensed spectrum , enhancing V2X communication efficiency, and developing O-RAN frameworks for future networks. Recent publications analyze cross-frequency beam prediction (2024), GPS-based beam selection (2023), and predictive service automation in O-RAN (2022). His work intersects network resource management with smart grid integration and disaster connectivity .
Constandinos Mavromoustakis is a Professor at the Department of Computer Science, University of Nicosia (School of Sciences and Engineering). He leads the Mobile Systems Lab (MOSys Lab) and holds leadership roles in IEEE, including Vice-Chair of the Cyprus Section and Chair of the Computer Society Chapter. He actively contributes to IEEE Communications Society committees and standardization groups like IEEE-SA SCC42 WG2040. Education includes: Dipl.Eng in Electronic and Computer Engineering from Technical University of Crete MSc in Telecommunications from University College London PhD from Aristotle University of Thessaloniki His research integrates Mobile Systems, IoT, and Wireless Communications, with emphasis on: 5G/6G network security using AI-driven strategies Resource optimization in cloud-edge ecosystems UAV-assisted networks for critical infrastructure Healthcare applications via IoMT and data analytics Recent publications (2024-2025) demonstrate strong focus on securing next-gen networks (O-RAN, 6G), optimizing edge computing for VR/IoT, and advancing smart healthcare/cities. Dominant themes include Deep Reinforcement Learning, quantum-inspired optimization, and latency minimization techniques. He participates in EU-funded initiatives including FP7, H2020, Eureka, and national projects. Industrial collaborations include consultancy for Intel Corporation. He directs the MOSys Lab, which researches mobile systems, IoT interoperability, and network security, with projects spanning UAV communications, medical IoT, and sustainable computing.
Voravit Tanyingyong is a Lecturer at Kungliga Tekniska Högskolan (KTH Royal Institute of Technology) working in the Division of Communication Systems within the School of Electrical Engineering and Computer Science. He has been working at KTH since 2003, demonstrating a long-standing commitment to the institution. His contact information includes telephone number +46 8 790 42 08 and email voravit@kth.se, with his office located at Malvinas Väg 10. Dr. Tanyingyong received his PhD in Information and Communication Technology from KTH in 2021, with his doctoral thesis titled "Performance, Availability, and Scalability in Open Networking Platforms for Internet Services." Prior to that, he completed his Licentiate thesis at KTH in 2014 titled "Performance and Reliability in Open Router Platforms for Software-Defined Networking," establishing a strong foundation in networking research. Dr. Tanyingyong's research interests span computer systems, network applications, protocols, architectures, and the Internet of Things (IoT). His work demonstrates a consistent focus on practical implementations of networking technologies with applications in various domains including environmental monitoring, healthcare, and smart grids. His research bridges theoretical networking concepts with real-world implementations, particularly in the area of IoT systems where he has developed testbeds for air quality monitoring and smart grid applications. A significant portion of his work addresses performance, reliability, and scalability challenges in modern networking environments. Analysis of Dr. Tanyingyong's publication history reveals a clear evolution in his research focus. Early work centered on router/server performance and OpenFlow switching, reflecting the emergence of Software-Defined Networking. More recently, his research has shifted toward IoT applications, with publications on scalable IoT sensing systems, air quality monitoring, and IoT for smart DC grids. His work consistently addresses practical implementation challenges while maintaining theoretical rigor, with a particular emphasis on system performance, reliability, and scalability. The interdisciplinary nature of his research connects computer networking with environmental science, healthcare, and energy systems. Advanced Internetworking (IK2215) - Teacher Internet of Things (IK1332) - Teacher Networks and Communication (IK1203) - Teacher Ethics and Sustainable Development for Engineers (II2210) - Course Responsible Projects and Project Methods (II1302) - Course Responsible Multiple degree projects as examiner across Computer Engineering, Computer Science and Electrical Engineering specializations Dr. Tanyingyong has established himself as a dedicated educator who bridges theoretical networking concepts with practical implementations. His teaching portfolio reflects his research expertise while covering essential networking fundamentals and emerging IoT technologies. As course responsible for Ethics and Sustainable Development for Engineers, he demonstrates commitment to broader engineering principles beyond technical skills.
Anders Västberg is a Lecturer at KTH Royal Institute of Technology within the Department of Communication Systems. His work spans teaching and examination roles across various courses in computer science, electrical engineering, and information and communication technology (ICT) innovation, including Wireless Communication Systems , Mobile Networks , and Programming of Parallel Systems . Teaches courses like Internet of Things and Introduction to Computer Security . Examiner for advanced-level degree projects in embedded systems and communication systems. Focuses on wireless networking, heterogeneous networks, and energy-efficient network design. His research interests include energy efficiency in telecommunications , green radio systems , and network optimization . Recent work explores power consumption in backhaul systems , heterogeneous network deployment , and signal propagation in ionospheric channels . Articles highlight trends in green networking , starting with 2016 studies on cell DTX and heterogeneous networks , followed by 2013 work on backhaul optimization and wideband efficiency . Earlier papers (1997–2008) focus on ionospheric signal distortion and HF channel analysis .
