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Madhusanka LiyanageView profile

Associate Professor

• Network Security
• 5G
• 6G
• +4 more

Madhusanka Liyanage is an Associate Professor/Ad Astra Fellow and Director of the Network Softwarization and Security Labs (NETSLAB) at University College Dublin's School of Computer Science. He holds adjunct and honorary professorships at the University of Oulu and universities in Sri Lanka. His research focuses on network security, 5G/6G technologies, blockchain, and AI-driven systems. He has authored/co-authored over 250 publications, secured €10M+ in research funding, and led major projects like the EU Horizon Europe initiatives. Notable awards include the 2020 IEEE ComSoc Outstanding Young Researcher Award and recognition as a World's Top 2% Scientist (2020–2024). Education: B.Sc. (First Class Honours) from University of Moratuwa (2009), M.Eng. (Asian Institute of Technology, 2011), M.Sc. (University of Nice Sophia Antipolis, 2011), D.Sc. (University of Oulu, 2016) Research Interests: 5G/6G, Blockchain, AI/ML, Federated Learning, IoT, Network Slicing His work spans security orchestration, quantum-resistant cryptography, and smart grid innovations. He has advised 24+ students, secured grants from EU, IRC, and industry partners, and contributed to standards via ENISA consultancy. Current projects include CONFIDENTIAL6G and ROBUST-6G, addressing privacy and security in next-gen networks.

• Artificial Intelligence
• Wireless Communications
• Cognitive Radio Networks
• +4 more

Prof. Juraj Gazda is a Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Kosice. His research focuses on cognitive radio networks, artificial intelligence, green communications, and agent-based modeling. He holds a PhD in engineering from TUKE (2010) and has extensive industry experience as an external consultant at Nokia Networks (2011–2014), advising on LTE wireless systems. He has been a guest researcher at institutions like Ramon Llull University (Spain), Technical University of Hamburg (Germany), and Delft University of Technology (Netherlands). His teaching includes stochastic modeling and data analysis courses. Gazda’s work bridges academia and industry, emphasizing network security, autonomous systems, and 6G technologies. Research highlights include contributions to UAV-assisted networks, blockchain-based spectrum management, and AI-driven edge computing. His projects address real-world challenges in 5G/6G networks, including energy efficiency, secure communication, and autonomous vehicle coordination. Gazda actively collaborates with global tech firms like Verizon Wireless, contributing to network design and optimization. Publications span AI applications in healthcare, vehicular networks, and quantum computing. He advocates for interdisciplinary research, integrating machine learning, blockchain, and metaverse technologies to address future mobility and communication needs.

• Robotics
• Aerospace Engineering
• Telecommunications
• +4 more

Abhishek BERA is a Postdoctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the Space Robotics department at the University of Luxembourg. His research focuses on advanced robotics, telecommunications, and aerospace engineering, with particular emphasis on multi-robot coordination, UAV networks, and space exploration systems. He holds a strong record of innovation in resilient communication architectures, blockchain-based infrastructure, and 5G/6G technologies for disaster response and lunar exploration. Key research areas include: Multi-robot systems and planetary exploration 6G-UAV networks and edge computing Blockchain applications for space infrastructure Lunar mapping and resilient exploration systems IoT-enabled UAV networks His recent work explores cutting-edge topics such as ROS2 middleware optimization for planetary robotics, trustful coopetitive infrastructures for space missions, and edge-driven geofencing solutions for beyond-visual-line-of-sight (BVLOS) drone operations. His research bridges theoretical advancements with practical implementations in aerospace and telecommunications sectors.

• Multimedia Networking
• Telecommunications
• Edge Computing
• +3 more

Prof. Gabriel-Miro Muntean is a Professor at the School of Electronic Engineering, Dublin City University (DCU), Ireland. He holds a Ph.D. (2003) from DCU and B.Eng./M.Sc. degrees in Software Engineering from Politehnica University of Timisoara, Romania. He co-directs the DCU Performance Engineering Laboratory and is a Principal Investigator with Insight and Lero National Research Centres. His research focuses on multimedia networking, wireless/energy-aware communications, and technology-enhanced learning. Education: B.Eng. Software Engineering (Politehnica University of Timisoara, 1996) M.Sc. Software Engineering (Politehnica University of Timisoara, 1997) Ph.D. Electronic Engineering (DCU, 2003) Research Interests: Quality-oriented adaptive multimedia streaming Energy-efficient networking Personalized learning technologies 5G/6G network architectures Edge computing optimization Publications & Grants: Over 450 papers, 4 books, and 26 book chapters (H-index=53) EU Horizon 2020 projects: Coordinator of NEWTON, Lead in TRACTION Awards: IEEE Fellow (202X) IEEE Broadcast Technology Society Fellow Advising & Labs: Supervised 25 PhD students and 15 postdocs Co-director of DCU Performance Engineering Lab

Fiona FangView profile

Assistant Professor

• Machine Learning for Wireless Communications
• Non-Orthogonal Multiple Access (NOMA)
• Reconfigurable Intelligent Surfaces (RIS)
• +4 more

Fiona Fang is an Assistant Professor in the Department of Electrical and Computer Engineering and Department of Computer Science at Western University, Canada. She holds a Ph.D. from the University of British Columbia (2017) and has prior academic experience at Durham University (2020–2022) and the University of Manchester (2018–2020). Her research focuses on machine learning for intelligent wireless communications, NOMA, RIS, MEC, and Edge AI. She serves as an editor for IEEE Transactions on Wireless Communications and has received awards including the IEEE SPCC Early Achievement Award (2023) and the 2024 Junior Faculty Award of Excellence in Research. Education: Ph.D. (UBC), M.Sc. and B.Sc. (Lanzhou University). Research emphasizes interdisciplinary applications of machine learning in wireless systems, with contributions to energy-efficient resource allocation and network design. Key publications include surveys on multi-access edge computing and RIS-assisted NOMA networks. She actively organizes conferences like IEEE Globecom and ICC, and her work bridges theoretical advancements with practical network implementations.

Xiaoli ChuView profile

Professor

• Wireless Communications
• 5G and Future Mobile Networks
• Heterogeneous Networks
• +4 more

Professor Xiaoli Chu holds the position of Professor in Wireless Communications at the School of Electrical and Electronic Engineering, University of Sheffield. She specializes in wireless communication systems, focusing on heterogeneous networks, unlicensed spectrum utilization, and 5G/6G radio access technologies. Her research includes books on heterogeneous cellular networks and femtocells, and she has received the IEEE Communications Society 2017 Young Author Best Paper Award. Education: BEng in Electronic and Information Engineering from Xi’an Jiao Tong University (2001) PhD in Electrical and Electronic Engineering from Hong Kong University of Science and Technology (2005) Research Interests: Her work emphasizes improving wireless systems' performance through algorithm design and modeling. Current foci include small cell networks, edge computing, and unlicensed spectrum applications. She leads research in 5G/6G technologies, such as cloud-edge collaboration and device-to-device (D2D) assisted networks. Publications & Awards: Professor Chu has authored/co-authored over 200 journal articles and books. Notable works include Heterogeneous Cellular Networks: Theory, Simulation and Deployment (2013) and contributions to IEEE journals. Her IEEE award highlights her impactful research in wireless communication. Professional Activities: She serves as Editor for IEEE Wireless Communications Letters and has organized workshops at IEEE ICC, GLOBECOM, and PIMRC. Her editorial roles and conference contributions underscore her leadership in the field. Labs & Projects: Active in the Communications Research Group, she leads initiatives like the DECADE project and studies indoor small-cell networks with 3D MIMO arrays, advancing practical applications of theoretical research.

Mustafa ÖzgerView profile

Assistant Professor

• Wireless Communications
• Network Architecture
• Sensing and Communication Systems
• +5 more

Mustafa Özger is a Tenure Track Assistant Professor at the Department of Electronic Systems within the Technical Faculty of IT and Design at Aalborg University, Denmark. His research focuses on advanced communication systems, including 6G networks, non-terrestrial networks (NTN), unmanned aerial vehicles (UAVs), cognitive radio systems, and ultra-reliable low-latency communication (URLLC). He has contributed significantly to edge computing and networking, with a particular emphasis on integrating sensing capabilities with communication systems. His work also addresses challenges in network architecture design, handover management, and deep reinforcement learning applications for improving connectivity and reliability. Key research interests include airspace and network integration for future communication systems, signal classification using neural networks, and low-latency solutions for multi-connectivity scenarios. He has published extensively, with over 73 peer-reviewed articles since 2013, covering topics from cognitive radio networks to satellite constellations. His research often explores the intersection of machine learning and communication systems, with practical applications in IoT, vehicular networks, and underwater acoustic communications. Özger’s recent work highlights his leadership in emerging 6G technologies, particularly in adaptive network architectures that combine terrestrial and non-terrestrial elements. He has also pioneered methods for minimizing handover delays in NTN environments using Open RAN functional splits and developed denoising techniques for localization systems using autoencoder algorithms.

Mohammad Reza NakhaiView profile

Associate Professor

• Online Learning
• Wireless Network Optimization
• Game Theory
• +6 more

Dr. Mohammad Reza Nakhai is a Reader in the Department of Engineering at King's College London, specializing in telecommunications and signal processing. His research focuses on online learning, wireless network optimization, machine learning applications in resource allocation, cognitive radio communications, and energy-efficient systems. He serves as an Editor for the IEEE Transactions on Wireless Communications. Nakhai has contributed to numerous high-impact projects, including the EPSRC-funded TITAN initiative and the THzAir 6G research program. His work addresses challenges in edge computing, distributed learning, and sustainable radio networks. Key projects include optimizing federated learning in edge networks and advancing green radio technologies for net-zero objectives. He has co-authored over 120 publications, with recent contributions on reinforcement learning for D2D communication and distributed caching strategies. Research interests include game theory applications in wireless networks, robust beamforming techniques, and interference management. His expertise spans massive MIMO systems, channel estimation, and energy harvesting in cellular networks. Nakhai leads collaborative efforts in 6G research, focusing on native AI interfaces and next-generation connectivity solutions. His grants include funding from EPSRC for projects like plaTform drIving The ultImAte coNnectivity (TITAN) and THzAir, demonstrating his commitment to innovation in telecommunications. Notable contributions include scalable caching schemes for edge networks and collaborative resource management. His work on real-time energy trading and predictive resource allocation highlights his focus on practical, deployable solutions. Nakhai's research impacts both academic and industrial sectors, driving advancements in wireless efficiency and network intelligence.

• Edge Computing
• 5G/6G Networks
• Multi-access Edge Computing (MEC)
• +3 more

Estefanía Coronado is a researcher at the i2CAT Foundation in Spain, specializing in edge computing, 5G/6G networks, and AI-driven networking. Her work focuses on optimizing resource allocation, energy efficiency, and multi-agent collaboration in edge environments. She has published extensively in top-tier journals and conferences, including IEEE Communications Magazine and NOMS. Key contributions include frameworks like MEO (MEC Orchestrator) and MintEDGE (energy-aware edge simulator). Collaborations with institutions like Universitat Politècnica de Catalunya and industry partners highlight her impact in both academia and industry. Her research addresses challenges in industrial IoT, autonomous systems, and network automation.

• Massive MIMO
• Aeronautical Communications
• Optimization Algorithms
• +4 more

Jiankang Zhang is a Senior Lecturer in Computer Science at Bournemouth University, UK. He previously held positions at the University of Southampton (Senior Research Fellow) and Zhengzhou University (Lecturer/Associate Professor). His research focuses on massive MIMO , aeronautical communications , optimization algorithms , and edge computing , with applications to UAV networks, visible light communication (VLC), and physical layer security. Education: PhD in Communication and Information Systems (Zhengzhou University, 2012), BSc in Mathematics and Applied Mathematics (Beijing University of Posts and Telecommunications, 2006) His recent work explores reconfigurable intelligent surfaces (RIS) for secure transmissions, UAV-assisted networks , and multi-agent reinforcement learning for resource allocation in NOMA-V2X systems. He contributes to IEEE journals as an Associate Editor and Guest Editor. Scientific Awards: IEEE Senior Member (2018), Outstanding Associate Editor (IEEE Access, 2020), Workshop Chair (IRSCN), Guest Editor roles His article trends emphasize 5G/6G , secure wireless communication , machine learning-aided network optimization , and UAV mobility , with a focus on balancing security vs. efficiency in next-generation networks.

Lian ZhaoView profile

Professor

• Wireless Communications
• Edge Computing
• Internet of Things (IoT)
• +7 more

Lian Zhao is a Professor in the Department of Electrical, Computer and Biomedical Engineering at Toronto Metropolitan University. She holds a Ph.D. from the University of Waterloo and has been with the university since 2003. Her research focuses on wireless communications, edge computing, vehicular networks, and resource management. She is a Fellow of the IEEE and multiple professional organizations. Education: B.Sc. (Civil Aviation University of China, 1990), M.S. (Wuhan University, 1993), Ph.D. (University of Waterloo, 2002), all in electrical engineering. Research Interests include green communication, IoT, centralized/distributed resource management, and incentive mechanisms. She leads the Intelligent Communication and Computing Laboratory and teaches courses such as Digital Communications and Random Processes. Awards include the IEEE VTS Best Land Transportation Paper Award (2016 and 2024), Outstanding New Leader Award (2021), and CFI New Opportunity Award (2004). She serves as an editor for multiple journals, including IEEE Transactions on Wireless Communications and IEEE Internet of Things Journal. Advising: Supervised over 30 graduate students, including Ph.D. and Master’s candidates in areas like vehicular networks, edge computing, and resource allocation. Active in funded research projects on 6G networks, UAV communications, and smart grid systems. Labs/Teams: Leads the Intelligent Communication and Computing Lab, contributing to innovations in vehicular ad-hoc networks, IoT, and green communication technologies.

• Integrated Sensing and Communication (ISAC)
• Vehicular Networks
• Cognitive Radio Networks
• +5 more

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.