جست‌وجوی استاد و پژوهشگر

Sotiris Moschoyiannisمشاهده پروفایل

دانشیار

• Complex Networks
• Control Theory
• Reinforcement Learning
• +۵ مورد دیگر

Sotiris Moschoyiannis is a Reader in Complex Systems at the University of Surrey, affiliated with the School of Computer Science and Electronic Engineering. He holds dual roles as Postgraduate Research Director in his School and the Computer Science Research Centre. His expertise spans mathematics, theoretical computer science, and interdisciplinary research in complex systems, cybersecurity, and artificial intelligence. Dr. Moschoyiannis earned his PhD in Theoretical Computer Science from the University of Surrey and a Mathematics degree from the University of Patras. His research focuses on control theory, reinforcement learning, and computational methods applied to complex networks, aiming to design interventions for steering systems toward desirable outcomes. Key areas include cybersecurity in 5G networks, healthcare data analysis, and systems biology modeling. Teaching responsibilities include Machine Learning and Data Mining (MSc in Data Science) and Database Systems across MSc programs in Data Science and Information Security. His work bridges formal methods with machine learning, addressing challenges in dynamic systems, network controllability, and secure communication protocols. Notable contributions include studies on prostate cancer diagnosis data quality, anomaly detection in 5G networks, and AI-driven healthcare solutions. He actively collaborates with institutions like the Surrey Institute for People-Centred AI and the Surrey Centre for Cyber Security, advancing interdisciplinary research and innovation.

Sasa Radomirovicمشاهده پروفایل

مدرس ارشد

• Formal Methods for Information Security
• Formal Modeling and Verification of Cryptographic Protocols
• Cybersecurity
• +۳ مورد دیگر

Dr. Sasa Radomirovic is a Senior Lecturer in Secure Systems and Programme Lead of the MSc Information Security at the University of Surrey. He holds a PhD in Mathematics from Rutgers University (2005) and has held postdoctoral positions at NTNU Trondheim, CRM Barcelona, and the University of Luxembourg. His prior roles include Senior Scientist at ETH Zurich and faculty positions at the University of Dundee and Heriot-Watt University. He is affiliated with the Surrey Centre for Cyber Security and the Computer Science Research Centre within the School of Computer Science and Electronic Engineering. Dr. Radomirovic specializes in Formal Methods for Information Security and Formal Modeling and Verification of Cryptographic Protocols . His research focuses on ensuring security through rigorous mathematical analysis, with applications in voting systems, IoT, and human-centric security. Key contributions include work on remote attestation protocols, election verification, and user account management strategies. His recent publications highlight advancements in cryptographic protocol design, system security, and human factors in cybersecurity. Notable works include studies on table-based elections, IoT security perceptions, and dispute resolution mechanisms in voting systems. He has advised PhD students at ETH Zurich and the University of Luxembourg, contributing to impactful research in cybersecurity and formal verification. Dr. Radomirovic's research integrates theoretical foundations with practical applications, addressing challenges such as protocol vulnerabilities, user behavior analysis, and the security of emerging technologies like 5G and IoT.

David Careyمشاهده پروفایل

استاد

• 2D materials
• functional electronic materials
• material science and engineering
• +۹ مورد دیگر

David Carey is a Professor of Electrical and Electronic Engineering and Associate Head of the School of Computer Science and Electronic Engineering at the University of Surrey. He holds a PhD from Trinity College Dublin and was an EPSRC Advanced Research Fellow between 2015 and 2022, serving as Head of the Department of Electrical and Electronic Engineering. His research focuses on 2D materials (graphene, silicene, germanene), functional electronic materials, and nanomaterials characterization. Key research interests include molecular doping of graphene, structural characterization of layered materials, and high-frequency conductivity. He teaches modules like Nanoelectronics and Devices (EEEM022) and Nanoscience and Nanotechnology (EEE3037), covering quantum engineering and nanomaterials growth/characterization. Recent publications emphasize silicon quantum technologies, perovskite stability, and terahertz sensors. His work bridges material science, nanoelectronics, and quantum engineering, with applications in optoelectronics and energy materials. Collaborative projects involve advanced fabrication techniques and interdisciplinary material design. David Carey’s research group at the Advanced Technology Institute explores cutting-edge topics such as erbium-implanted silicon for quantum applications, graphene-based sensors, and 2D material band gap engineering. His contributions span from fundamental material studies to applied technologies in communication and energy systems.

Burak Kantarciمشاهده پروفایل

استاد

• Internet of Things (IoT)
• AI-based Security
• Vehicular Networks
• +۶ مورد دیگر

Dr. Burak Kantarci is a Full Professor at the School of Electrical Engineering and Computer Science, Faculty of Engineering, University of Ottawa. He holds a University Research Chair in AI-Enabled Secure Networking for Smart Critical Infrastructures and a courtesy faculty appointment at Clarkson University. His research focuses on IoT, AI-based security, vehicular networks, and edge computing. Education and Career: Previously an Assistant Professor at Clarkson University (before joining University of Ottawa) and a Research Fellow at University of Ottawa (2009–2014). He is a Professional Engineer (P.Eng) in Ontario. Research Interests: Includes continuous authentication, communication models for big data, crowdsensing, and vehicular sensing. He leads the NEXTCON-SCVI Labs and has published over 200 peer-reviewed works. Articles Trends: Recent work emphasizes AI-driven security solutions, autonomous systems safety, and 5G/6G networking challenges. Topics include adversarial detection, UAV optimization, and edge computing efficiency. Awards: Distinguished Lecturer (IEEE Communications & Systems Societies), ACM Distinguished Speaker, Senior Member (ACM/IEEE). Grants & Advising: Principal Investigator on NSERC/CFI/NSF-funded projects. Advises on grants focused on smart infrastructure and secure networking. Labs/Teams: Founder of NEXTCON-SCVI Labs, focusing on communications, computing networks, and smart vehicles innovation.

Hussein Mouftahمشاهده پروفایل

استاد

• Telecommunication Networks
• Optical Networking
• Wireless Communication Networks
• +۵ مورد دیگر

Hussein Mouftah is a Distinguished University Professor and Tier 1 Canada Research Chair at the University of Ottawa , affiliated with the School of Electrical Engineering and Computer Science (formerly SITE). He has made groundbreaking contributions to telecommunication networks , including optical, wireless, and IoT systems, while pioneering research in smart grids and connected autonomous vehicles . B.Sc. and M.Sc. from University of Alexandria (1969, 1972) Ph.D. from Laval University (1975) Academic career: Queen's University (1979–2002), University of Ottawa (2002–present) His research spans computer networks , optical networking , wireless communications , and smart city technologies , with recent work focusing on 6G-enabled ITS, vehicular edge networks, and dynamic wireless charging for UAVs/CAEVs. Publications highlight machine learning integration and cybersecurity challenges in IoT/autonomous systems. Key awards include the Royal Society of Canada Thomas W. Eadie Medal , IEEE McNaughton Gold Medal , and 24 Best Paper Awards . He has secured ~$40M in grants and mentored 95 Master’s, 63 Ph.D.s, and 30 postdocs.

Rajan Shankaranمشاهده پروفایل

مدرس ارشد

• Network Security
• Mobile Communication Protocols
• Internet of Things
• +۴ مورد دیگر

Rajan Shankaran is a Senior Lecturer at Macquarie University's School of Computing, part of the Faculty of Science and Engineering. He serves as Course Director for postgraduate programs in Networking and IoT, and chairs the IEEE VTS NSW Chapter. His roles include membership in the University Academic Senate Curriculum Subcommittee and representation on the FSE Faculty Board. Education: MBA (MIS) from Maastricht School of Management; M.Sc. (Hons.) and Ph.D. in Network Communications and Security from University of Western Sydney. Research focuses on Network Security, Mobile Communication Protocols, IoT, Network-on-Chip, and Medical Implant Security. He has led projects like 'Digital Health Records Storage and Analysis for Global Patients' and organized IEEE events such as NOMS 2017. Notable awards include IEEE Senior Member status. Recent work includes publications on wireless network security, optimization algorithms, and IoT-enabled healthcare systems. He advises on over 70 research outputs and has contributed to 4 major projects addressing cybersecurity and network efficiency. Labs/Teams: Active in the Future Communications Research Centre, collaborating on 5G/IoT security and edge computing applications.

• Applied Electromagnetics
• Wireless Communications
• Antenna Design
• +۵ مورد دیگر

Dr. Xingqi Zhang is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Alberta, Canada. He holds adjunct professorships at University College Dublin (Ireland) and has held visiting positions at the University of Toronto and Queen Mary University of London. His research focuses on applied electromagnetics and wireless communications, emphasizing high-performance computational models for 5G/6G/THz systems, intelligent transportation, underwater communications, IoT, and biomedical applications. Education: B.Sc. (Honors) from Harbin Institute of Technology, M.A.Sc. and Ph.D. from the University of Toronto. Research interests include physics-based wireless channel modeling, radio wave propagation in diverse environments, multiphysics modeling for electromagnetic and biomedical systems, reconfigurable intelligent surfaces (RIS), antenna design, and machine learning applications in communications. He leads a Horizon 2020-funded project on future wireless networks and collaborates with global academia and industry. Awards: ACES Early Career Award, RIA Charlemont Award, and multiple best paper awards. He serves as an associate editor for IEEE journals and technical committee roles in flagship conferences. Teaching: Currently teaches ECE 209A/B (Fundamentals of Electrical Engineering) in 2025 terms. His group oversees projects in channel modeling, integrated sensing/communication, and machine learning-based parametric modeling.

Eliane Bodaneseمشاهده پروفایل

مدرس ارشد

• Sensor Networks
• Internet of Things (IoT)
• Wireless Communication Systems
• +۴ مورد دیگر

Dr. Eliane Bodanese is a Senior Lecturer and Director of Postgraduate Taught Programmes at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her research focuses on sensor networks, IoT, human activity recognition, and resilient communication systems. She holds a PhD in Electronic Engineering from Queen Mary and has published over 80 papers. Her work is funded by EPSRC and BT, with grants addressing emergency communication, medical applications, and sensor integration. She reviews for top journals like IEEE Transactions on Communications and serves on the EPSRC Peer Review College. Education: BEng in Electrical Engineering (Federal University of Paraná), MSc in Electrical Engineering (Federal University of Santa Catarina), PhD in Electronic Engineering (QMUL). Key Research Projects: Rescue Localisation Network (£4,920), Support for Depression Management (£16,300), India-UK Advanced Technology Centre (Phase 1 & 2), Global Partnerships Fund (UK-China IoT collaboration). Teaching includes Communications and Networks, C Programming, and IoT Communication Technologies. She advises on grants, chairs conferences, and collaborates internationally on smart systems and healthcare applications.

Atta ul Quddusمشاهده پروفایل

مدرس

• Wireless Communications
• 5G/6G Networks
• Machine Type Communication
• +۳ مورد دیگر

Dr. Atta ul Quddus is a Lecturer in Wireless Communications at the University of Surrey's Institute for Communication Systems (ICS), part of the School of Computer Science and Electronic Engineering. He holds an MSc (2000) and PhD (2005) in Satellite and Mobile Cellular Communications from the University of Surrey. His research focuses on 5G/6G networks, including Machine Type Communication, Full Duplex systems, and Cloud Radio Access Networks. He leads UK/EU projects like BeFEMTO and iJOIN and developed a widely used PHY simulator for industry. Research interests: Machine-to-Machine (M2M) communication, Full Duplex systems, Cloud RAN, Device-to-Device (D2D) communications, and Cell-Sweeping techniques. Notable contributions include enhancing cell-edge throughput via Cell-Sweeping and developing novel modulation schemes like C-GQSM and GAM-FSM. Publications span 2025-2021, emphasizing advances in MIMO, NOMA, and RIS (Reconfigurable Intelligent Surfaces). Key achievements include the 2004 Vodafone-sponsored Research Excellence Prize for adaptive filtering work. Current projects explore integrated communication-sensing systems, haptic feedback, and low-complexity decoders for Polar/LDPC codes. Awards: CCSR Research Excellence Prize (2004) Grants: EU FP7 BeFEMTO, iJOIN; 5GIC research program Collaborations: Industry partnerships with network operators and chip manufacturers Labs/Teams: Active contributor to ICS's 5G Innovation Centre (5GIC), focusing on future wireless systems.

Pei Xiaoمشاهده پروفایل

استاد

• Wireless Communications
• 5G/6G Networks
• Signal Processing
• +۶ مورد دیگر

Professor Pei Xiao is a leading academic in wireless communications at the University of Surrey’s Institute for Communication Systems (5GIC), part of the School of Computer Science and Electronic Engineering. He holds a BEng from Huazhong University of Science & Technology, MSc from Tampere University of Technology, and PhD from Chalmers University of Technology. As technical manager of 5GIC, he oversees major 5G/6G research projects, coordinating activities across academia and industry. His research focuses on cutting-edge areas including 5G/6G network design, satellite communications, reconfigurable intelligent surfaces (RIS), integrated sensing and communication (ISAC), and machine learning-driven optimization. Key projects include EPSRC-funded initiatives on massive machine communications and industrial IoT systems. Professor Xiao’s recent publications emphasize innovations in beamforming, non-orthogonal multiple access (NOMA), and hybrid AI-hardware solutions for next-generation networks. He actively contributes to standards development through collaborations with Nokia Networks and global telecom partners. His work bridges theoretical advancements with practical implementations, addressing challenges in latency, energy efficiency, and network scalability.

Sundeep Ranganمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Information Theory
• +۵ مورد دیگر

Sundeep Rangan is a Professor in the Electrical and Computer Engineering Department at NYU Tandon School of Engineering, and Associate Director of NYU WIRELESS, an industry-academic research center focused on next-generation wireless systems. He holds a B.A.Sc. from the University of Waterloo, Canada, and M.Sc. and Ph.D. from UC Berkeley, all in Electrical Engineering. His research spans wireless communications, signal processing, information theory, and control systems. He co-founded Flarion Technologies (acquired by Qualcomm) and contributed to Flash OFDM, a precursor to 4G/LTE systems. Education: Bachelor of Applied Science, Electrical Engineering, University of Waterloo (1992) Master of Science, Electrical Engineering, UC Berkeley (1995) Doctor of Philosophy, Electrical Engineering, UC Berkeley (1997) His research focuses on millimeter-wave 5G/6G systems, approximate message passing algorithms, and wireless networking. Key contributions include channel modeling via generative neural networks and energy-efficient mmWave receiver design. He has received the IEEE Fellow distinction and led projects funded by NSF, OPPO, and industry partners. Notable collaborations include work on cloud-based robot control using 5G edge computing (with Ludovic Righetti) and multi-array designs for UAV communications. His teaching includes machine learning and communication theory courses.

Yi Hongمشاهده پروفایل

دانشیار

• Wireless Communications
• Coding Techniques
• Communication and Information Theory
• +۵ مورد دیگر

Yi Hong is an Associate Professor in the Department of Electrical and Computer Systems Engineering at Monash University, serving as the Graduate Student Coordinator and former Director of Graduate Research (2016-2018). She holds a PhD in Telecommunications Engineering from the University of New South Wales. Her research focuses on wireless communications, coding techniques, and secure communications, with particular emphasis on OTFS modulation, delay-Doppler channels, and SSD storage. She leads a team of researchers and postdocs, actively contributing to IEEE standards and conferences as an Associate Editor and conference chair. Education: Doctor of Philosophy (PhD), Telecommunications Engineering, University of New South Wales (UNSW) Research Interests: Prof. Hong’s work spans advanced communication technologies including OTFS modulation, secure UAV communications, intelligent reflecting surfaces (IRS), and coding for SSD reliability. Her team explores solutions for high-mobility environments, energy-efficient IoT systems, and physical-layer security. Recent contributions include a seminal book on Delay-Doppler Communications and pioneering OTFS waveform implementations. Professional Recognition: She is an IEEE Senior Member, IET Fellow, and former member of the Australian Research Council College of Experts (2018-20). Her leadership in organizing major IEEE events includes co-chairing the 2021/2022 ICC OTFS workshop and the 2014 IEEE ITW. She has received the NICTA-ACoRN Early Career Researcher Award (2007). Grants & Projects: Current ARC grants include secure mmWave UAV communications and modulation for high-mobility systems. Past projects include coding for NAND flash memories and network coding over finite rings. Labs & Teams: Her research group (Future Wireless Communications Team) develops cutting-edge solutions in OTFS, IRS-aided systems, and secure IoT networks, collaborating with industry partners on coding for storage and 5G/6G technologies.

Shih-Chun Linمشاهده پروفایل

دانشیار

• Networking
• Machine Learning and AI
• Communications
• +۷ مورد دیگر

Dr. Shih-Chun Lin is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University, part of the College of Engineering. His research focuses on wireless software-defined networking systems, IoT, cyber-physical systems, and communications technologies. He holds a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (2017). His research interests include machine learning applications in networking, network function virtualization, and wireless communication in challenging environments such as underground and underwater systems. He has contributed to advancements in edge computing, vehicular networks, and satellite communication protocols. Dr. Lin has been recognized with awards including the 2020 Distinguished TPC Member Award at IEEE INFOCOM and the 2016 Best Student Paper Award Runner-up at IEEE SCC. His work emphasizes practical implementations alongside theoretical analysis, addressing challenges in next-generation cellular networks and 6G technologies. His publications span topics such as satellite swarm dynamics, federated learning in edge networks, and optical cross-connect architectures. Collaborations focus on integrating AI-driven solutions for network optimization and resilience.

Paul Patrasمشاهده پروفایل

استاد

• Artificial Intelligence
• Network Traffic Analytics
• Network Security & Privacy
• +۴ مورد دیگر

Paul Patras is a Professor of Mobile Intelligence at the University of Edinburgh's School of Informatics, leading the Mobile Intelligence Lab and affiliated with the Institute for Computing Systems Architecture (ICSA) and Security & Privacy group. He co-founded Net AI, a university spin-off advancing AI-driven network management. His expertise spans AI for network traffic analytics, security, and biomedical innovation. He holds a Ph.D. from University Carlos III of Madrid and has held visiting roles at institutions like Northeastern University and Rice University. Research focuses on bridging mathematical models with real-world network applications, including high-speed data stream processing and adversarial robustness. Recent work includes Stable-Sketch for web-scale data streams and Sabre for adversarial noise filtering. Awards include the SICSA Best Dissertation Award (2024, student Alec Diallo) and a best paper award at WWW '24 (with Weihe Li). Advising includes PhD students like Weihe Li and postdocs like Alec Diallo. He has supervised numerous students in areas like network security and machine learning. His labs and collaborations drive innovation in 6G, edge computing, and AI ethics. He frequently speaks at global forums, including the UN's AI for Good Summit and 6G Evolution Summit.

• Software-Defined Networking
• Cloud Computing
• Network Security
• +۴ مورد دیگر

Ameen Chilwan serves as an Assistant Professor in the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). His office is located at Elektro A, A-262, Gløshaugen, with contact information including email ameen.chilwan@ntnu.no and phone +4746355118. Dr. Chilwan's research spans multiple domains in network technologies with particular expertise in software-defined networking (SDN), cloud computing infrastructure, and real-time internet services. His work demonstrates consistent evolution from foundational network architecture research toward contemporary applications in 5G edge clouds and smart grid systems. The interdisciplinary nature of his research bridges computer networking with energy systems and underwater communications. Analysis of his publication record from 2011-2024 reveals a clear progression from theoretical network modeling toward practical implementation challenges. Early work focused on OpenFlow-based SDN architectures (2012-2015), followed by expansion into cloud service availability (2011-2012), then underwater sensor networks (2014), and most recently machine learning applications for smart grids (2024). This trajectory demonstrates both technical depth in networking fundamentals and increasing breadth across application domains. Dr. Chilwan teaches courses including DCSG2001 - Sammenkoblede nettverk og nettverkssikkerhet, TTM4180 - Nettverkshåndtering, and DCSG1006 - Datakommunikasjon og nettverk, reflecting his expertise in network security, management, and communications. His academic service includes outreach activities through conference presentations and academic lectures at international venues including EUNICE, FIT, and ICCCN.