جست‌وجوی استاد و پژوهشگر

Asma Chiha Ep Harbiمشاهده پروفایل

پژوهشگر

• Techno-economic analysis
• 5G networks
• Network slicing
• +۳ مورد دیگر

Asma Chiha Ep Harbi is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture , affiliated with the Department of Information Technology and IMEC. Specializing in techno-economic analysis of 5G networks , her work focuses on network slicing, cross-border mobility solutions, and satellite-5G integration. Her research addresses key challenges in cooperative, connected, and automated mobility (CCAM) through projects like 5G-CARMEN and 5G-Blueprint. She develops cost allocation models for network slicing and analyzes deployment strategies for vehicle-to-infrastructure communication systems, with particular emphasis on cross-border environments between Italy and Austria. Recent publications examine broadband inflight connectivity economics, MEC clustering for seamless mobility services, and business model frameworks for teleoperated transport. While no specific awards are listed, her work has been cited in multiple high-impact journals including Transport Policy and Journal of Network and Systems Management .

• Sustainable Orchestration in Edge-Cloud Environments
• Multi-Cloud Workload Distribution
• Large Language Models (LLMs) Deployment
• +۳ مورد دیگر

Dr. Hadi Tabatabaee Malazi is an Assistant Professor at the University of College Dublin (UCD), leading the Sustainable Orchestration in Computing Continuum (SOC² Lab). He holds an Orcid identifier (0000-0002-2960-6896) and has extensive academic experience across institutions like Maynooth University, Shahid Beheshti University, and Trinity College Dublin. His research focuses on sustainable computing, edge-cloud continuum orchestration, AI/ML deployment (e.g., LLMs), and energy efficiency. He is a Senior Member of IEEE, serves as an Associate Editor for IEEE Access, and chairs the COST Action CA22151 (CYPHER) on decarbonizing energy-intensive industries. Education: PhD (2012): University of Isfahan (Computer Engineering) MSc (prior to 2012): University of Isfahan Research Visit (2010-2011): Delft University of Technology Research Interests: Sustainable edge-cloud systems, AI-driven workload optimization, carbon-aware resource management, distributed LLMs, and IoT interoperability. Key contributions include over 20 journal articles in IEEE, Elsevier, and Springer venues, with topics ranging from vehicular network security to smart city event processing. Professional Activities: Committee member of COST Action CA22151, IEEE Access Associate Editor, and Technical Program Committee member for IEEE conferences. Authored certifications on research leadership and research integrity from Epigeum. Labs/Teams: SOC² Lab (UCD), leading projects on edge-cloud sustainability and AI application deployment.

Edwin Renمشاهده پروفایل

دانشیار

• Internet of Things
• 4G/5G Mobile Telecommunication Networks
• Cloud Computing
• +۸ مورد دیگر

Edwin Ren is an Associate Professor in the School of Computing Sciences at the University of East Anglia (UEA), UK. His research focuses on Internet of Things (IoT), 5G/6G networks, cloud computing, and cybersecurity. He holds a PhD in Information Communication Technology from the University of Agder, Norway, and has held postdoctoral positions at National Chiao Tung University, Taiwan. Ren is a member of the Cyber Intelligence and Networks and Data Science & AI groups at UEA. **Education**: - PhD in Information Communication Technology, University of Agder, Norway (2012) - Postdoctoral Fellow at National Chiao Tung University (2012–2017) **Research Interests**: - IoT and Smart Systems - Network Function Virtualization (NFV) and SDN - Blockchain-based Security Protocols - Mobile Edge Computing and 5G/6G Architectures - Privacy-Preserving AI and Federated Learning **Key Achievements**: - Best Paper Award at IEEE MDM 2012 - Active in interdisciplinary projects like the Training DIGIT initiative (EPSRC-funded) and Smart Environments Research Facility **Grants & Collaborations**: - EPSRC-funded projects on Digital Innovation and Cyber-Physical Systems - Royal Society-supported AIoT platform research **Labs/Teams**: - Leads the Cyber Intelligence and Networks research group at UEA - Involved in the Smart Environments Research Facility, a multidisciplinary EPSRC project

• Artificial Intelligence
• Wireless Communications
• Cognitive Radio Networks
• +۴ مورد دیگر

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.

Qun Wangمشاهده پروفایل

استادیار

• Cybersecurity
• Machine Learning
• Edge Computing
• +۵ مورد دیگر

Dr. Qun Wang is an Assistant Professor and Graduate Advisor in the Department of Computer Science at San Francisco State University (SFSU), part of the College of Science & Engineering. Their research focuses on cybersecurity, machine learning applications in edge computing, IoT security, federated learning, and energy-efficient wireless networks. Dr. Wang’s work addresses challenges in mobile edge computing (MEC), UAV-assisted systems, and secure resource allocation in distributed networks. Key research areas include intelligent IoT attack detection, phishing URL identification using graph-based ML, and energy efficiency in MEC-IoT systems. Recent publications emphasize secure trajectory scheduling for UAVs, robust cooperative jamming in MEC networks, and optimization of NOMA-enabled architectures. Their contributions span theoretical frameworks and practical implementations in edge computing and wireless communication. Dr. Wang’s articles highlight trends in integrating machine learning with cybersecurity protocols, optimizing energy-delay tradeoffs in mobile networks, and advancing federated learning techniques. No specific grants or awards are listed, but their research demonstrates significant engagement with emerging technologies in distributed systems and IoT. Office hours are held weekly on Thursdays via Zoom, and they can be reached at qunwang@sfsu.edu .

• Multimedia Networking
• Telecommunications
• Edge Computing
• +۳ مورد دیگر

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

Nikos Passasمشاهده پروفایل

استاد

• Mobile Network Architectures
• Wireless Communications
• Quality of Service (QoS) Provisioning
• +۷ مورد دیگر

Nikos Passas is a Professor at the Department of Informatics and Telecommunications, University of Athens, leading the Green, Adaptive and Intelligent Networking (GAIN) research group. He has coordinated numerous national and European research projects, including SMART-NRG,ROSSFIRE,SEOVEREIGN,CASPERS, and SEMANTIC. His research focuses on mobile network architectures, QoS provisioning, wireless protocols, and 5G/6G technologies. He has published over 120 papers and 12 book chapters, with key contributions in MAC protocols, mobility management, and network security. Education: PhD in Informatics & Telecommunications (University of Athens, 1997), Diploma in Computer Engineering (University of Patras, 1992). Teaching: Mobile/Wireless Networking courses at undergraduate and postgraduate levels. Recent roles include guest editor for IEEE Wireless Communications and Wiley's Wireless Communications and Mobile Computing Journal. Research highlights include work on LTE-Advanced networks, D2D communications, and blockchain-based mobile data access. He holds a US patent for wireless traffic scheduling. Active in IEEE and the Technical Chamber of Greece. Current projects emphasize smart energy networks, cognitive radio technologies, and user-centric service provisioning. His lab develops solutions for HetNets, edge computing, and AI-driven network optimization.

Xiaoli Chuمشاهده پروفایل

استاد

• Wireless Communications
• 5G and Future Mobile Networks
• Heterogeneous Networks
• +۴ مورد دیگر

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.

Claude D'Amoursمشاهده پروفایل

استاد

• Wireless Communications
• MIMO Systems
• CDMA
• +۷ مورد دیگر

Claude D'Amours is a Professor at the University of Ottawa's School of Electrical Engineering and Computer Science, serving as Vice Dean of Academic Affairs since 2007. He holds a B.A.Sc., M.A.Sc., and Ph.D. in Electrical Engineering from the University of Ottawa (1990–1995). His career includes roles at the Communications Research Centre (CRC) and the Royal Military College (RMC). Research interests focus on advanced wireless communication systems, including MIMO, CDMA, OFDM/SC-FDMA, and error control coding. Notable innovations include the parity bit selected spreading technique and permutation spreading for MIMO-CDMA systems. He has pioneered work in UAV-to-ground channel modeling, mmWave MIMO precoding, and physical-layer security against jamming attacks. Recent publications emphasize 5G/6G technologies, secure network design, and channel optimization in challenging environments. His work addresses critical challenges in network reliability, interference management, and spectrum efficiency. Teaching awards: 2006 John V Marsh Award and 2007 University Excellence in Teaching Award Leadership roles: Vice Dean overseeing academic affairs in the Faculty of Engineering His research spans theoretical advancements and practical implementations, with contributions to cognitive radio systems, RF fingerprinting, and underwater sonar-based activity detection. Current projects include AI-driven 3D drone deployment frameworks and low-complexity detection algorithms for overloaded CDMA systems.

Luca Foschiniمشاهده پروفایل

استاد

• Distributed Systems
• Computer Networks
• Mobile Computing
• +۶ مورد دیگر

Luca Foschini is a Full Professor at the University of Bologna, affiliated with the Department of Computer Science - Science and Engineering within the Engineering College. He serves as Director of the Interdepartmental Center for Industrial Research on ICT. His research focuses on Distributed Systems, Mobile Computing, Middleware for Multimedia and IoT, Cloud Computing, and Edge Computing. Foschini holds a Ph.D. in Computer Engineering from the University of Bologna (2007) and has collaborated with institutions like the University of Illinois at Urbana-Champaign and the Paradise Lab at uOttawa. His key research contributions include the development of middleware platforms like MUM and SOMA, as well as initiatives such as the ParticipAct crowdsensing project. He has led projects funded by MIUR and CNR, addressing topics like scalable middleware for mobile networks and energy-efficient cloud systems. Foschini has been actively involved in organizing conferences like ISCC and IWCMC, serving in roles such as Technical Co-Chair and Keynote Speaker. Teaching includes courses on Distributed Systems, Computer Networks, and Foundations of Informatics, alongside roles as Assistant Professor and Teaching Assistant since 2004. His work emphasizes practical applications, including urban traffic management systems and healthcare data integration via blockchain federations. Notable collaborations span academic and industrial partners, including the Competence Center NGNI at Fraunhofer FOKUS and the Mobile Sensing Group at Dartmouth College. He leads research in smart cities, edge computing, and IoT, with a focus on real-world implementations like the ParticipAct living lab.

Mustafa Özgerمشاهده پروفایل

استادیار

• Wireless Communications
• Network Architecture
• Sensing and Communication Systems
• +۵ مورد دیگر

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 Nakhaiمشاهده پروفایل

دانشیار

• Online Learning
• Wireless Network Optimization
• Game Theory
• +۶ مورد دیگر

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.

Carlos Jesús Bernardos Canoمشاهده پروفایل

استاد

• IP Mobility Management
• Network Virtualization
• Cloud Computing
• +۷ مورد دیگر

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.

• Massive MIMO
• Aeronautical Communications
• Optimization Algorithms
• +۴ مورد دیگر

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 Zhaoمشاهده پروفایل

استاد

• Wireless Communications
• Edge Computing
• Internet of Things (IoT)
• +۷ مورد دیگر

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.