جست‌وجوی استاد و پژوهشگر

Hamed Ahmadiمشاهده پروفایل

دانشیار

• Wireless Communications and Networks
• Machine Learning for Wireless Networks
• Blockchain
• +۵ مورد دیگر

Dr. Hamed Ahmadi is a Reader in Digital Engineering at the University of York, UK, and an adjunct associate professor at University College Dublin. He holds a PhD from the National University of Singapore (2012) and has held academic roles at institutions including University College Dublin and the University of Essex. His research focuses on wireless communications networks, machine learning for network automation, UAV communications, blockchain, and cognitive radio networks. He leads projects funded by EPSRC, including work on O-RAN energy efficiency and 6G network resilience. Dr. Ahmadi has published over 70 peer-reviewed papers and serves on editorial boards for IEEE Communications Standards Magazine and Springer Wireless Networks. He is a senior member of IEEE and a Fellow of the UK Higher Education Academy. His current research emphasizes 6G innovations such as digital twins, explainable AI, and energy-efficient network designs. Teaching includes Digital and Analog Electronics at York, with previous roles covering wireless communications, signals & systems, and microcontrollers. He supervises PhD students in topics like 6G digital twins, machine learning for energy efficiency, and blockchain in IoT. Key projects include: Enhancing O-RAN with AI/RL for network training Green, secure wireless networks for sustainable autonomous systems Cell-free MIMO testbed development His work bridges theoretical advancements with practical implementations, addressing challenges in 6G architecture, UAV network reliability, and decentralized spectrum management.

Paul Harveyمشاهده پروفایل

مدرس

• Autonomous Systems
• Network Testing
• Federated Learning
• +۳ مورد دیگر

Dr. Paul Harvey is a Lecturer in Low Carbon and Sustainable Computing at the School of Computing Science, University of Glasgow. He specializes in autonomous systems, focusing on safe and meaningful fully-autonomous technologies for design and operation. His roles include co-chair of the UN’s ITU-T Focus Group on Autonomous Networks and visiting researcher at the University of Strathclyde. Industrial experience includes co-founding Rakuten Mobile Innovation Studio, emphasizing open and collaborative research. Research interests span autonomous networks, digital twins, federated learning, and edge computing. Recent work includes digital twin generation for network testing and task offloading strategies in edge-based systems. He actively contributes to standards development (e.g., OntoCommons) and blockchain-based trust frameworks for autonomous systems. His advising includes student Shijia Dong on software modularization using LLMs. Grants and collaborations are managed via his institutional profile. His lab focuses on cross-disciplinary projects at the intersection of networking, AI, and sustainability.

Liucheng Guoمشاهده پروفایل

پژوهشگر ارشد

• AI software-hardware co-design
• embedded AI
• high-performance computing (HPC)
• +۷ مورد دیگر

Dr. Liucheng Guo is a Visiting Senior Research Fellow and RAEng Industrial Fellow at King’s College London, affiliated with the Department of Mathematics within the Faculty of Natural, Mathematical & Engineering Sciences. His expertise spans AI software-hardware co-design, embedded AI, and high-performance computing (HPC), with a focus on sustainable human-machine interfaces (HMI) for sectors like IoT, Automotive, Healthcare, and XR. He holds a Ph.D. from Imperial College London and an MA from Peking University. Dr. Guo has co-founded the award-winning AI startup TG0, securing seven patent groups and over £20 million in grants from InnovateUK, RAEng, and the European Innovation Council. His research emphasizes smart home, IoT, and healthcare applications, including VR mirror therapy for post-stroke rehabilitation and gesture-based control systems. He is a Senior Member of IEEE and Fellow of IET/BCS/RSA, reflecting his leadership in bridging research and industry. His grants include Smart Grants, KTP awards, and SME Leader initiatives. He actively promotes STEM through roles as RAEng Visiting Professor and public engagement ambassador.

• Computer Networks
• Telecommunications
• Cloud Computing
• +۷ مورد دیگر

Raouf Boutaba is a Professor at the University of Waterloo, Canada, with a focus on networking and telecommunications research. His work spans computer networks, cloud computing, network security, and software-defined networking (SDN). He has contributed to advancements in 5G/6G networks, network slicing, energy-efficient architectures, and machine learning applications in networking. His research addresses challenges in network monitoring, resilient communication systems, and optimizing network performance through reinforcement learning and intelligent algorithms. He collaborates extensively with researchers globally, publishing in top-tier journals and conferences such as IEEE Transactions on Networking and NOMS. Boutaba’s work often bridges theoretical contributions with practical implementations, emphasizing real-world applicability in telecommunications and distributed systems. His recent focus includes open RAN architectures, edge computing, and securing encrypted traffic in evolving network environments.

Thomas Houمشاهده پروفایل

استاد

• Wireless Communications
• Networking
• 5G/Next-G Networks
• +۳ مورد دیگر

Thomas Hou is the Bradley Distinguished Professor of Electrical and Computer Engineering at Virginia Tech, with a courtesy appointment in Computer Science. His research focuses on wireless and mobile networks, including real-time optimization, spectrum sharing, and 5G/next-G communications. He holds a B.E. from The City College of New York (1991), M.S. from Columbia University (1993), and Ph.D. from NYU Tandon (1998). Before academia, he worked at Fujitsu Laboratories of America (1997–2002). Research interests include wireless security, dynamic spectrum access, and algorithmic solutions for network bottlenecks. His work has led to innovations in throughput, delay, and energy optimization across network layers. He has published over 200 papers, including nine best-paper awards, and authored two textbooks: *Cognitive Radio Communications and Networks* (Elsevier, 2010) and *Applied Optimization Methods for Wireless Networks* (Cambridge, 2014). Professional Service: IEEE Fellow (2014), Chair of IEEE INFOCOM Steering Committee (2013–2019), IEEE Communications Society Distinguished Lecturer (2015–2018). Awards: NSF CAREER Award (2004), ONR Young Investigator (2003), Virginia Tech Dean's Research Excellence Award (2013). Editorial Roles: IEEE/ACM Transactions on Networking, ACM Transactions on Sensor Networks, and others. His contributions span blockchain sharding, federated learning security, and automotive radar interference mitigation. Current projects address real-time scheduling in 5G/6G, AI-driven cybersecurity, and spectrum-sharing frameworks like BD-SAS.

Raffaele Bollaمشاهده پروفایل

استاد

• Cyber Security
• Machine Learning
• 5G/6G Networks
• +۵ مورد دیگر

Raffaele Bolla is a Full Professor at the Department of Naval, Electrical, Electronic and Telecommunication Engineering (DITEN) within the University of Genova, School of Engineering. He specializes in telecommunications, with research focusing on energy efficiency, 5G/6G networks, network virtualization, and green technologies. He coordinates the Master's Degree program in Telecommunications Engineering and teaches courses including Cyber Security , Internet and Multimedia Engineering , and Wireless Networks (5G) and Cloud/Edge Computing . Research Interests: Energy-efficient network design 5G/6G network virtualization Machine learning for network optimization Sustainable telecommunications Human-machine interaction in industrial networks Smart grid technologies His recent publications address container scaling, network observability, and power consumption in next-generation networks. He leads projects like RESTART and contributes to standards in energy-efficient networking.

Minglong Zhangمشاهده پروفایل

استادیار

• 5G/6G Communications
• AI-enabled wireless communication
• O-RAN Networks
• +۴ مورد دیگر

Minglong Zhang is an Assistant Research Professor in the Electrical & Computer Engineering Department at Mississippi State University, affiliated with the Bagley College of Engineering. His research focuses on 5G/6G communications, AI-driven wireless networking, O-RAN architectures, and vehicular communications (V2X). He holds a Ph.D. in Electrical and Electronic Engineering from Auckland University of Technology (2020) and an M.S. in Electronics Engineering from Peking University (2011). Research interests include: AI-enhanced wireless security and resource allocation Open Radio Access Networks (O-RAN) performance and security Next-generation vehicular networks and smart mobility Network slicing and QoS-aware protocols for information-centric systems Recent work emphasizes jamming countermeasures in 5G/B5G , machine learning for network optimization , and secure O-RAN deployments . His publications span 5G/6G security frameworks, UAV communication interference solutions, and IoT-based safety systems. Lab affiliations and collaborations include Mississippi State University’s ECE department research groups focused on wireless networks and cybersecurity. No specific grants are explicitly listed in the provided information.

Chuan Fohمشاهده پروفایل

مدرس ارشد

• Computer Networks
• Wireless Communication Protocols
• 5G/6G Networks
• +۶ مورد دیگر

Dr Chuan Foh is a Senior Lecturer at the University of Surrey, affiliated with the Institute for Communication Systems within the School of Computer Science and Electronic Engineering. His research focuses on advanced communication protocols and performance analysis across diverse networks, including 5G/6G, vehicular networks, and satellite systems. He explores topics such as network security, federated learning, and reconfigurable intelligent surfaces to enhance communication efficiency and reliability. Dr Foh has contributed to over 50 peer-reviewed publications since 2015, with recent work addressing Open RAN vulnerabilities, NOMA-enhanced 5G protocols, and AI-driven network automation. His research interests span protocol design for wireless networks (e.g., IEEE 802.11bd, V2X systems), low-latency access mechanisms, and secure edge computing architectures. Collaborations involve industry standards bodies and academic institutions. He actively publishes in top-tier venues like IEEE Transactions and Vehicular Technology Conferences, with a focus on practical solutions for emerging telecom challenges. Key contributions include scalable resource allocation in MIMO-LEO satellite networks, ML-based fault detection in cellular systems, and energy-efficient UAV communication via RIS. His work bridges theoretical advancements with real-world deployment scenarios, emphasizing network security and automation in 5G/6G ecosystems.

Fabien HELIOTمشاهده پروفایل

مدرس

• Wireless Communications
• Signal Processing
• MIMO Systems
• +۵ مورد دیگر

Fabien HELIOT is a Lecturer in Wireless Communications at the University of Surrey's School of Computer Science and Electronic Engineering, affiliated with the Institute for Communication Systems. His research focuses on wireless communication theory, signal processing for MIMO systems, electromagnetic exposure reduction, and visible/terahertz communications. He leads modules like Applied Mathematics for Communication Systems and chairs the EEE Student/Staff Liaison Committee. His awards include an IEEE Senior Membership and Advance HE Fellowship. Research highlights include projects on MIMO-RIS capacity analysis, EMF exposure measurement in 5G, and waveform design for terahertz systems. He has supervised 8 PhD students and contributed to over 100 peer-reviewed publications. Notable collaborations include EU-funded projects (LEXNET, EARTH) and industry partnerships. His work bridges theoretical analysis and practical implementations, with contributions to standards and patents like the pDCO-OFDM waveform. Teaching responsibilities include courses on 5G, mobile communications, and electronic laboratories. He has examined 18 PhD vivas and supervised 40+ student projects. His research also addresses energy-efficient communication and machine learning applications in network automation, reflecting a commitment to both academic rigor and real-world impact.

Dajana Cassioliمشاهده پروفایل

مدرس ارشد

• 5G Networks
• Software Defined Networks (SDN)
• Millimeter Wave Communications
• +۵ مورد دیگر

Dajana Cassioli is a Senior Lecturer at the University of L'Aquila, Department of Information Engineering, Computer Science and Mathematics. Her research focuses on advanced computer networks, propagation modeling, and wireless communication technologies. Key research areas: 5G/6G networks, Software Defined Networking (SDN), Millimeter Wave Communications Principal investigator for the ERC Starting Grant VISION project and SafeCOP project Active in cybersecurity applications for O-RAN, quantum key distribution, and physical layer attack detection Her work bridges theoretical and applied aspects of wireless sensor networks, channel modeling, and emerging telecom technologies. Recent publications emphasize O-RAN security, edge computing optimization, and human-induced channel dynamics Recognized for contributions to network slicing, terahertz communication, and graphene-based devices Scientific awards include the prestigious ERC Starting Grant for the VISION project. She actively contributes to educational initiatives in cybersecurity through the CyberChallenge.IT@UnivAQ program.

• Virtual Reality
• Multimedia Systems
• Network Protocols
• +۷ مورد دیگر

Mario Montagud Climent is a researcher at Centrum Wiskunde & Informatica (CWI) , focusing on virtual reality (VR), extended reality (XR), and multimedia systems. His work bridges network protocols, human-computer interaction, and immersive technologies. Key contributions: Multi-party holographic meetings, Edge rendering architectures, and XR quality of experience (QoE) optimization Collaborations: Sergi Fernández, Pablo César, Gianluca Cernigliaro, and other international experts in VR/XR Research spans network programmability for adaptive XR, holographic communications , and explainable AI for spatial audio analysis. Publications highlight QoE assessment and low-cost immersive solutions . Recent articles address real-time multiuser systems, neural 3D reconstruction for UAVs, and 6G federation concepts. His work integrates 5G/6G technologies with applications in cultural heritage and social VR.

Prateek Shantharamaمشاهده پروفایل

استاد پژوهشی

• Wireless Communication
• Networking
• Open Radio Access Network (O-RAN)
• +۶ مورد دیگر

Prateek Shantharama is an Assistant Research Professor in the Department of Electrical and Computer Engineering at Mississippi State University. He holds a Ph.D. in Electrical and Computer Engineering from Arizona State University (2022), an M.S. in Computer and Network Engineering from The National Institute of Engineering, India (2016), and a B.E. in Electronics and Communications Engineering from Siddaganga Institute of Technology, India (2014). His research focuses on advancing wireless communication and networking technologies, including Open Radio Access Network (O-RAN), 5G and beyond systems, and the integration of machine learning and AI for optimizing wireless systems. He also explores hardware acceleration, resource allocation, network function virtualization, and software-defined networking (SDN). His work emphasizes practical implementations and performance improvements in next-generation communication networks. No scientific awards or grants are explicitly mentioned in the provided information. His office is located in 216 Simrall Engineering Building, and he can be reached via phone at 662.325.2047.

• IoT Security
• Wireless Communication Protocols
• Vehicular Networks
• +۳ مورد دیگر

Dr. Rafik Zitouni is a Research Fellow and Lead Software Engineer at the University of Surrey's School of Computer Science and Electronic Engineering, affiliated with the Institute for Communication Systems. His work focuses on wireless communication protocols, IoT security, vehicular networks, and adaptive networking solutions. He has contributed to advancements in 6TiSCH, LoRaWAN, and MQTT protocols, with an emphasis on security mechanisms, network optimization, and machine learning applications. Research interests include securing industrial IoT networks, vehicular emergency messaging systems, and low-power wide-area networks (LPWAN). He has pioneered techniques such as fuzzy logic-based detection of selfish nodes in 6TiSCH and Fuzzy C-Means clustering for LoRa parameter optimization. His work on FPGA-based sensor fusion for autonomous vehicles addresses real-time data processing challenges. Key contributions span 20+ peer-reviewed publications in journals like Wireless Networks and Computer Communications , and conferences including IWCMC and MENACOMM. He actively collaborates with industry and academia on open radio access networks (O-RAN) and underwater localization systems. Current research emphasizes machine learning-driven network automation and resilient IoT infrastructure.

Seyed Ahmad Soleymaniمشاهده پروفایل

پژوهشگر ارشد

• Cybersecurity
• Edge Computing
• Internet of Things (IoT)
• +۳ مورد دیگر

Dr. Seyed Ahmad Soleymani is a Research Fellow at the University of Surrey's Institute for Communication Systems and part of the 5G/6G Innovation Centre. His research focuses on cybersecurity, edge computing, IoT, UAV systems, and 5G/6G networks. He has contributed to secure authentication protocols for medical and industrial IoT systems, UAV-assisted edge computing optimization, and multi-target tracking algorithms using Q-learning. His work emphasizes energy efficiency, data security, and real-time applications in smart manufacturing and vehicular networks. Research interests include secure communication in UAV networks, sustainable edge node deployment, and privacy-preserving authentication schemes. He has explored applications such as flood forecasting via UAV-assisted sensors and energy-efficient building systems. His publications span IEEE journals and conferences, addressing challenges in edge computing resource allocation, intrusion detection systems, and trust management in 5G-IIoT environments. Collaborations involve institutions like the University of Electronic Science and Technology of China and Universiti Teknologi Malaysia. Notable contributions include the MI3SE encryption scheme for outdoor IIoT devices and the TRUTH trust scheme for 5G industrial IoT. His work combines machine learning (e.g., SAC, Q-learning) with network optimization to address latency, security, and scalability in modern communication systems. He has also developed frameworks for cybertwin-based 6G networking and secured target tracking in O-RAN environments.

• Radio Resource Management
• Spectrum Sharing
• Mobility Management
• +۷ مورد دیگر

Dionysia Triantafyllopoulou is a Senior Research Fellow at the Institute for Communication Systems, University of Surrey, UK. She holds a PhD from the University of Athens (2009), specializing in Communication Systems and Networks. Her research focuses on radio resource management, spectrum sharing, and mobility management in cognitive radio and heterogeneous networks, with emphasis on 5G and beyond. She has contributed to major projects like 5GENESIS, Clear5G, and SocIoTal, addressing challenges in network efficiency, energy saving, and smart IoT ecosystems. Her work spans dynamic spectrum access, QoS optimization, and machine learning applications in telecommunications. She has authored over 50 publications in top-tier journals and conferences, including IEEE Transactions and ACM publications, and co-edited books on cognitive radio and cross-layer design. She is an active member of IEEE and has held roles in organizing international conferences such as CROWNCOM. Education: B.Sc. Computer Science, University of Athens (2005) M.Sc. Communication Systems, University of Athens (2007) PhD, University of Athens (2009) Key Projects: 5GENESIS: 5G network validation and integration Clear5G: Factory-of-the-Future MTC solutions SOCIoTal: Citizen-centric IoT frameworks CRS-i: Cognitive Radio standardization Research Interests: 5G/6G systems, cognitive radio, energy efficiency, spectrum sharing, machine learning for network automation, and cross-layer optimization. Her recent work includes optimizing HARQ protocols for URLLC, mmWave backhaul routing, and O-RAN automation using AI. She collaborates with industry partners to translate research into real-world applications, such as 5G trial deployments and smart city IoT systems.