جست‌وجوی استاد و پژوهشگر

Hannah Caoمشاهده پروفایل

مدرس ارشد

• Computer Networks
• Cyber Security
• Distance Learning
• +۴ مورد دیگر

Hannah Cao is a Senior Lecturer in Computer Science Education and Director of Online Studies at King's College London's Department of Informatics. She holds a PhD from the National University of Singapore and prior academic roles including Principal Lecturer at the University of Hertfordshire, Research Fellow at NUS, and Assistant Professor at Huazhong University of Science and Technology. She is a Senior Fellow of the Higher Education Academy (SFHEA). Her research focuses on Computer Networks (Future Networking, IoT Protocol Design, Quantum-based Mobile Ad Hoc Networks), Cyber Security (Authentication Protocols, IoT Security, Blockchain Applications), and Distance Learning (Online Pedagogy, Academic Integrity, E-Learning Security). She leads initiatives in cybersecurity education innovation, including leveraging AI and blockchain for threat intelligence and curriculum design. Recent work includes studies on post-pandemic education impacts, SDN/P4 protocol evaluation, and inclusive group assessment strategies. She contributes to interdisciplinary research hubs like the Trusted Autonomous Systems Hub and King's Cybersecurity Centre, focusing on trustworthy systems and FinTech intersections. Awards include SFHEA recognition for educational excellence. Her 80+ publications span peer-reviewed journals/conferences, with emphasis on network security, education technology, and protocol design.

Jim Blakleyمشاهده پروفایل

پژوهشگر

• Edge Computing
• Cloud Computing
• Artificial Intelligence
• +۵ مورد دیگر

Jim Blakley is the Associate Director of the Living Edge Lab at Carnegie Mellon University, bringing over 30 years of industry experience from AT&T, Lucent, and Intel. His work focuses on commercializing emerging technologies at the intersection of cloud systems, AI, networking, and human-computer interaction. He leads research initiatives in edge computing infrastructure and real-world technology deployment. Blakley's research spans edge computing , distributed cloud systems , drone autonomy , and network optimization . He specializes in developing scalable solutions for decentralized infrastructure, latency-sensitive applications, and edge-native platforms, with an emphasis on practical implementation and systems engineering. His recent publications demonstrate a strong focus on edge computing advancements, including drone video streaming optimization, lightweight AI frameworks for wearables, decentralized cloud architectures, and cross-tier orchestration. This body of work highlights trends toward democratizing edge technologies and enhancing real-time processing capabilities for next-generation applications. At the Living Edge Lab, Blakley oversees projects advancing edge computing infrastructure and experimental testbeds, collaborating with industry partners to bridge academic research and commercial deployment.

• Computer Science
• Network Security
• Cryptography
• +۳ مورد دیگر

Gizem Akman is a Postdoctoral Researcher at the University of Helsinki's Faculty of Science, Department of Computer Science. Her research focuses on privacy-enhancing technologies and authentication protocols for next-generation networks including 5G and edge computing systems. Research interests span: Authentication and key agreement protocols Privacy-preserving mechanisms for mobile networks Security architectures for edge computing and IoT Her publications demonstrate consistent focus on improving privacy and security in mobile networks, particularly through innovations in authentication key management and lightweight cryptographic protocols for emerging technologies like autonomous vehicles and multi-access edge computing. Current research involvement includes the '6GBridge: 6G Test Network Finland' project where she contributes to developing next-generation network security solutions.

Jorge Gallego Madridمشاهده پروفایل

پژوهشگر ارشد

• 5G networks
• Artificial intelligence
• Network programmability
• +۳ مورد دیگر

Jorge Gallego Madrid is a Research Fellow at Universidad de Murcia's Faculty of Informatics in the Department of Information and Communication Engineering, affiliated with the Intelligent Systems and Telematics group. His research focuses on AI-driven network programmability for 5G/B5G infrastructures, IoT systems, and zero-touch management. Recent publications explore eBPF/XDP technologies, ML-powered traffic processing, and vehicular network architectures. He earned his PhD in 2024 with the dissertation 'Towards AI-based Network Programmability as an enabler for Zero-touch management and orchestration in B5G infrastructures'.

• Computer Networks
• Distributed Systems
• Edge Computing
• +۴ مورد دیگر

Osama Abboud is a researcher affiliated with Technische Universität Darmstadt. He holds a PhD in Computer Science from the same institution (2012), focusing on quality adaptation in peer-to-peer video streaming using scalable video coding. His work spans computer networks, distributed systems, edge computing, and federated learning. Key contributions include innovations in P2P video streaming resilience, serverless federated learning optimization, and mission-critical AI systems. He has collaborated extensively with researchers like Ralf Steinmetz and Michael Gerndt, publishing in venues such as IEEE Trans. Ind. Informatics, NetSoft, and ICC. His research emphasizes practical system design for heterogeneous environments, energy efficiency, and real-time performance. Education: PhD in Computer Science (Darmstadt University of Technology, 2012). Research Interests: Peer-to-Peer Systems, Edge Computing Architecture, Federated Learning Optimization, AI-driven Network Adaptation, and Low-Power Hardware Integration. His work bridges theoretical foundations with practical implementations in distributed environments. Notable Projects: Development of Apodotiko (serverless federated learning framework), MARQ (mission-critical AI system), and contributions to edge computing architectures like Trabant and Host Bypassing. These projects aim to enhance scalability, reduce latency, and improve sustainability in distributed systems.

Rouskas Angelosمشاهده پروفایل

استاد

• Wireless Communication Networks
• Edge Computing
• 6G Networks
• +۴ مورد دیگر

Rouskas Angelos is a Professor at the Department of Digital Systems, University of Piraeus. He holds a Diploma in Electrical Engineering from the National Technical University of Athens (NTUA), a Master's in Communications and Signal Processing from Imperial College London, and a PhD in Electrical and Computer Engineering from NTUA. Previously, he served as Lecturer, Associate Professor, and Head of the Computer Systems and Communications Laboratory at the University of the Aegean (2000–2009). His research focuses on next-generation wireless networks, edge computing, and energy-efficient network design. He has led multiple national and EU-funded projects and worked as a network designer at CosmOTE (1999–2000). He chaired the Technical Committee for European Wireless 2006 and served on numerous international conference committees. Education: BEng: Electrical Engineering, NTUA MSc: Communications & Signal Processing, Imperial College London PhD: Electrical & Computer Engineering, NTUA Research Interests: His work centers on optimizing wireless networks, particularly in edge computing environments and 6G/IoT connectivity. Key areas include energy efficiency, heterogeneous network architectures, and latency reduction through adaptive resource allocation. Recent trends in his publications emphasize non-terrestrial networks and federated edge-cloud IoT systems. Grants & Leadership: He has coordinated国家级 and European projects focusing on green networks and edge computing. His technical leadership extended to roles in industry partnerships and academic administration. Labs & Collaboration: Past leadership at the Computer Systems & Communications Lab (University of the Aegean) and current involvement in edge-cloud research initiatives.

Muhammad Majid Hussainمشاهده پروفایل

استادیار

• Smart Grid
• Power System Analysis
• Grid Integration
• +۷ مورد دیگر

Muhammad Majid Hussain serves as an Assistant Professor at Heriot-Watt University within the School of Engineering and Physical Sciences, United Kingdom. His research directly contributes to UN Sustainable Development Goals related to affordable and clean energy, with over 50 publications spanning power systems, smart grid technologies, and renewable energy integration. He actively collaborates internationally and accepts PhD students for advanced research in electrical engineering domains. Dr. Hussain's academic foundation includes: BSc in Electrical and Electronic Engineering (2005) from Pakistan MSc in Electrical Engineering (2009) from Pakistan PhD in Electrical Engineering (2018) from Glasgow Caledonian University, focusing on salt deposition mechanisms and surface flashover on outdoor insulators near shorelines His research portfolio centers on smart grid technologies and power system resilience , with critical work in cyber-physical security of power networks, EV-grid integration, and advanced energy management systems. Recent projects address real-time grid stability through AI-driven optimization and secure communication architectures, emphasizing practical implementation for modernizing aging infrastructure. His work bridges theoretical modeling with field applications, particularly in harsh environmental conditions affecting power components. Analysis of his 15 most recent publications (2022-2025) reveals three dominant research thrusts: (1) Software-defined networking for dynamic grid control, (2) AI/optimization techniques for microgrid energy management, and (3) Material science applications for power system component durability. This trajectory demonstrates increasing interdisciplinary convergence between power engineering, computer science, and materials engineering to solve grid modernization challenges. Professional recognition includes: Chartered Engineer status from The Institution of Engineering & Technology (UK) Fellowship in The Higher Education Academy (Advance HE, UK) Dr. Hussain has secured competitive funding as Principal Investigator for multiple projects, including two University of South Wales Partnership & Engagement Programme grants focused on grid integration challenges. His supervision extends to PhD candidates developing next-generation grid technologies, with strong industry partnerships facilitating technology transfer. Current research initiatives explore blockchain-based energy trading and second-life battery applications for grid stabilization. His laboratory work emphasizes experimental validation of theoretical models, particularly in insulator performance under coastal conditions and real-time grid simulation environments. Collaborative networks span European and Asian institutions, with recent projects examining cross-border renewable integration and EV charging infrastructure resilience.

Christophoros Christophorouمشاهده پروفایل

استادیار

• 6G Mobile Networks
• Edge and Far-Edge Computing
• Distributed Artificial Intelligence (DAI)
• +۳ مورد دیگر

Dr. Christophoros Christophorou is an Assistant Professor in Computing at University of Central Lancashire Cyprus (UCLan Cyprus), holding a PhD in Mobile Cellular Networks from the University of Cyprus (2011). He specializes in 6G network architectures, edge computing, and distributed AI applications in wireless networks. His research focuses on next-generation communication systems, including security protocols, dynamic resource allocation, and AI-driven optimization frameworks. Dr. Christophorou has held roles as Senior Researcher at CYENS – Center of Excellence, Invited Assistant Professor at the University of Cyprus, and Postdoc Researcher (2017–2023). He has contributed to major EU-funded projects such as ADROIT6G (Horizon Europe), METACITIES, and ENDORSE, focusing on AI-driven networks, smart cities, and healthcare robotics. His publications emphasize machine learning for network security, 6G architecture innovations, and distributed AI frameworks for D2D communication. He teaches advanced programming and system analysis courses at UCLan Cyprus.

• Energy Efficient Networking
• Hardware Acceleration
• Cryptography Algorithms
• +۴ مورد دیگر

Dr. Xiaojun Wang is an Associate Professor at the School of Electronic Engineering, Dublin City University (DCU). He holds a BEng and MEng from Beijing University of Posts and Telecommunications (BUPT) and a PhD from Staffordshire University (UK). His research focuses on energy-efficient networking, hardware acceleration for packet classification/deep inspection, and cryptography algorithms. He has been instrumental in establishing China-Ireland academic collaborations, including the China-Ireland International Conference on Information and Communications Technologies (CIICT), and coordinated a successful joint Telecommunications Engineering program with Wuhan University (2006–2012). He is also a member of DCU's Entwine Research Centre. Key roles include Head of China Affairs at DCU (2002–2007), contributing to institutional partnerships. His technical work spans green energy solutions for networks, quantum computing protocols, and hardware-software co-design for cryptographic systems. He has led projects on edge computing security, vehicular communication optimization, and blockchain-based trust frameworks. Educations: BEng in Computer & Communications, BUPT (1984) MEng in Computer Applications, BUPT (1987) PhD in Engineering, Staffordshire University (1992) Affiliations: Member of Entwine Research Centre Former Head of China Affairs, DCU His recent publications emphasize secure edge computing, quantum steganography, and 5G resource orchestration. He has pioneered energy-efficient router architectures and contributed to standards for vehicular networks and blockchain trust systems.

• Computer Networks
• Edge Computing
• Digital Twins
• +۴ مورد دیگر

Armir Bujari is an Associate Professor at the Department of Computer Science within the Faculty of Science and Engineering at the University of Bologna. His research focuses on advanced networking, edge computing, digital twins, and blockchain applications. He holds a scientific disciplinary sector specialization in Information Processing Systems (IINF-05/A). Key research areas include: Edge and cloud computing architectures IoT and smart systems integration Blockchain-enabled data ecosystems Urban and industrial digital twins Disaster communication protocols Recent publications emphasize innovative solutions in federated learning, QUIC protocol optimization for satellite networks, and digital twin applications in logistics and smart cities. His work bridges theoretical advancements with practical implementations in 5G/6G networks, disaster response systems, and sustainable energy grids. Office location: 1st floor, Palazzina ex-scuderie, Viale Risorgimento 2, Bologna. Reception hours are typically Mondays 3-5 PM, with flexible scheduling via email.

Sokol Kostaمشاهده پروفایل

دانشیار

• Edge Computing
• Mobile Cloud Computing
• Cybersecurity
• +۱۷ مورد دیگر

Sokol Kosta is an Associate Professor in the Department of Electronic Systems at the Technical Faculty of IT and Design, Aalborg University, Copenhagen, Denmark. His research focuses on edge computing, mobile cloud computing, cybersecurity, privacy, and the societal impact of digital technologies, particularly in public service media and data protection regulation. He is affiliated with the Cyber Security Group and contributes to initiatives such as 'AI for the People'. His research interests include edge and fog computing, computation offloading, Internet of Things (IoT), Internet of Floating Things, GPGPU acceleration, blockchain-based systems, privacy-preserving technologies, GDPR compliance, and public service media digital transformation. His work bridges technical innovation with policy and societal implications. His publications span from 2010 to 2025, with a strong presence in high-impact venues such as IEEE INFOCOM, IEEE Transactions on Mobile Computing, and The Web Conference. The articles reflect a consistent focus on mobile and edge computing systems, performance modeling, security, and privacy, increasingly incorporating societal and policy dimensions, especially post-GDPR. Trends include computation offloading optimization, decentralized systems, and empirical studies on web tracking and data governance. He has received 14 prizes and recognitions for his research contributions, though specific awards are not detailed in the provided text. He has supervised PhD students, including Jannick Kirk Sørensen, and has been involved in significant research projects such as the 'European Open Web Privacy Measurement' project (2017–2020), which examined GDPR's impact on third-party web services. He has presented his work internationally, including at The Web Conference 2019 in San Francisco, and has been featured in media coverage discussing data privacy compliance of Danish public websites. His lab and team activities are centered around the Cyber Security Group and collaborative projects involving distributed computing, edge AI, and privacy measurement.

Mark Gregoryمشاهده پروفایل

دانشیار

• Network Engineering
• Telecommunications
• Software Development
• +۳ مورد دیگر

Associate Professor Mark Gregory is affiliated with the School of Engineering at RMIT University. His academic role involves research in network engineering, telecommunications, software development, project management, cybersecurity, and distributed computing. He has held multiple leadership roles in his field and is actively involved in supervising PhD and MEng students. Reflecting his dedication to teaching, he received the 2015 Outstanding Good Teaching Scale award for EEET1152 Network Services and Internet Applications. His research focuses on next-generation mobile cellular networks, 6G technologies, edge computing security, and network optimization. Gregory has been recognized with numerous accolades, including multiple RMIT Media Star of the Year awards and the Australian Defence Medal. He has led significant research projects funded by organizations like NEC, the Australian Research Council, and auDA, contributing to advancements in software-defined networking (SDN), multi-access edge computing (MEC), and telecommunications infrastructure. His work emphasizes practical applications of technology to enhance security, efficiency, and accessibility in urban and rural networks.

Shuo Liمشاهده پروفایل

مدرس

• Network Engineering
• Telecommunications
• Underwater networks
• +۴ مورد دیگر

Dr. Shuo Li is a Lecturer in the School of Engineering at RMIT University, Australia. She holds a B.Eng. (2009) and Ph.D. (2014) from City University of Hong Kong. Her research focuses on telecommunications, underwater optical networks, network design, and edge computing. She has held academic roles at RMIT since 2011 and Tianjin University (2014–2017). Education: Ph.D. and B.Eng. in Engineering from City University of Hong Kong. Research Interests: 6G cellular networks, underwater optical communication, network security, and edge computing architectures. Dr. Li leads projects on 6G mobile cellular design, underwater optical networks, and edge computing resource management. She has received awards including the Research Tuition Scholarship (2013) and CityU Mainland Scholarship (2005–2009). Her work emphasizes practical applications, such as developing web-based network design tools and security frameworks for edge computing. Recent Projects: 6G architecture development, underwater optical wireless systems, and zero-trust security in multi-access edge computing. Supervision: Active in guiding PhD/MEng students on topics like optical interconnects for data centers and edge computing security. She collaborates on industry-focused research and is available for consulting in Australia and internationally. Her work bridges theoretical advancements with real-world network challenges.

Zhiguo Dingمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Non-Orthogonal Multiple Access (NOMA)
• +۷ مورد دیگر

Zhiguo Ding is a Professor in Communications at the University of Manchester, UK, and holds a Distinguished Adjunct Professor position at Khalifa University. He is also an Academic Visitor at Princeton University, collaborating with Prof. H. Vincent Poor. Prior roles include positions at Queen's University Belfast, Imperial College London, Newcastle University, and Lancaster University. Education : Ph.D. in Electrical Engineering, Imperial College London (2005) B.Eng. in Electrical Engineering, Beijing University of Posts and Telecommunications (2000) Research Interests span 6G Networks , NOMA , Physical Layer Security , Machine Learning for Communications , Beamforming , Cooperative Relaying , and Wireless Caching . His work explores hybrid NOMA architectures, hardware impairments in antenna systems, and cross-layer optimization for security and throughput. Recent Article Trends focus on Pinching Antenna Systems (2020-2024), Hybrid NOMA for OFDMA , THz-NOMA , and Grant-Free Transmission in IoT. Collaborations with Prof. Poor at Princeton emphasize analytical optimization, CRLB (Cramér-Rao Lower Bound) perspectives, and hardware-aware designs. Scientific Awards : IEEE Fellow (2020) Web of Science Highly Cited Researcher (2019-2024) IEEE Heinrich Hertz Award (2018) IEEE Jack Neubauer Memorial Award (2018) EU Marie Curie Fellowship (2012-2014) IEEE SPCC Technical Recognition (2021) IEEE GLOBCOM 2024 Best Paper Award Advising includes Ph.D. students like Yujie Ma (Flexible Antenna Systems), Wenqi Huang (NOMA-MEC), and Yushen Lin (NOMA Machine Learning), alongside 12+ past Ph.D. advisees. Grants include EPSRC, EU H2020-RISE, Royal Society, and FP7 Marie Curie funding for projects like Scalable Hybrid Architecture for Wireless Federated Learning (2023-2026) and MANGO (2017-2020). Labs & Teams : Leads research in NOMA, MIMO, and secure wireless systems at Manchester. Collaborates with IEEE and serves as Area Editor for IEEE TWC , TCOM , and OJ-SP , contributing to standards in 5G/6G and IMT frameworks.

Abbas Mehrabidavoodabadiمشاهده پروفایل

استادیار

• Mobile Edge Computing
• Internet of Things (IoT)
• Smart Grids and Microgrids
• +۷ مورد دیگر

Abbas Mehrabidavoodabadi is an Assistant Professor in the Department of Computer and Information Sciences at Northumbria University, UK, and a member of the CyberNets research group. He previously served as a Lecturer at Nottingham Trent University (2019–2020) and a Postdoctoral Researcher at Aalto University, Finland (2017–2019). He holds a PhD in Computer Science from Gwangju Institute of Science and Technology (GIST), South Korea, awarded in 2017. His educational background includes: PhD in Computer Science, Gwangju Institute of Science and Technology (GIST), South Korea (2013–2017) His research focuses on optimization and resource allocation in mobile edge computing (MEC), Internet of Things (IoT), smart grids/microgrids, and vehicular edge/fog networking. He explores energy-efficient mobile computing, Quality of Experience (QoE) optimization, and adaptive mobile video streaming. His work integrates algorithmic design with real-world applications in sustainable energy and intelligent transportation systems. His recent publications reveal a strong trend in intelligent energy management for electric vehicles, edge-assisted autonomous driving, federated learning for privacy-preserving AI, and green computing in mobile networks. His research bridges computer science with energy systems and transportation, emphasizing sustainability, efficiency, and user-centric design. His scientific awards and honors include: Fellow of the UK Higher Education Academy (FHEA) Member of IEEE Associate Member of the British Computer Society (BCS) He has been involved in research projects funded by Innovate UK, Horizon Europe, and the Marie Skodowska-Curie programme. He serves as a reviewer for top journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology, and ACM Transactions on Multimedia Computing. He is currently supervising PhD students, including Amin Mansour Saatloo, whose work focuses on sustainable energy systems with electric vehicles. He is affiliated with the CyberNets research group at Northumbria University, which focuses on cybersecurity, edge computing, and networked systems. His teaching includes courses on Computer Networks, Security, and Operating Systems.