Find Academic Supervisors

Ouassima AkhrifView profile

Professor

• Control Systems
• Power Electronics
• Renewable Energies
• +6 more

Ouassima Akhrif is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS), where she leads research in control systems and power electronics. She holds a Diplôme d'Ingénieur from Rabat, an M.Sc.A., and a Ph.D. from the University of Maryland. Her office is located at A-2575, and she can be contacted via email at ouassima.akhrif@etsmtl.ca. Dr. Akhrif directs the GREPCI Research Group (Power Electronics and Industrial Control), focusing on three primary research axes: Aeronautics and aerospace systems Sensors, networks, and connectivity Sustainable development and environmental solutions Her expertise spans nonlinear control, adaptive systems, UAV flight control, power grid stability, and renewable energy integration. Her recent publications demonstrate strong focus on UAV communication security, power grid optimization, and sustainable industrial systems. Articles frequently incorporate neural networks, model predictive control, and real-time optimization techniques applied to energy systems, aerospace control, and Industry 4.0 challenges. She has supervised over 40 graduate students, including 8 doctoral candidates and numerous Master's researchers. Student projects frequently involve UAV systems, power electronics, gas turbine control, and renewable energy applications. Industrial collaborations include Siemens Energy and aerospace partners for projects on electric propulsion, flight systems, and grid stability. As part of GREPCI, she collaborates on microgrid development, electric vehicle infrastructure, and aerospace control systems. The group maintains laboratories for power electronics prototyping, real-time simulation (Hypersim), and industrial control systems.

• Telecommunications
• Network Optimization
• Artificial Intelligence
• +3 more

Professor Nancy Alonistioti is a faculty member at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. Her research focuses on advanced telecommunications technologies, including 5G/6G networks, AI-driven optimization, and network management systems. She leads studies in areas such as distributed learning frameworks for QoS prediction, fuzzy logic applications in emergency systems, and energy-efficient federated learning for wireless networks. Her work emphasizes network programmability, self-organizing mechanisms, and autonomic network management. Key contributions include the development of SIM+, a comprehensive information model for beyond 5G networks, and the Distinqt framework for privacy-aware learning in mobile systems. She explores applications in vehicular communications, maritime networks, and Industry 4.0 transformations through 5G capabilities. Professor Alonistioti’s research also addresses challenges like context-aware profiling, dynamic infrastructure-as-a-service paradigms, and genetic algorithm-based resource allocation in edge networks. Her publications span over two decades, reflecting a deep engagement with evolving network architectures and technologies.

Conor BrennanView profile

Associate Professor

• Wave Propagation Modelling
• Computational Electromagnetics
• Rough Surface Scattering
• +5 more

Affiliations & Roles Dr. Conor Brennan is an Associate Professor in the School of Electronic Engineering at Dublin City University. His roles include academic leadership, research supervision, and teaching in propagation modeling, RF simulation, and computational methods. He is affiliated with the Stokes and FutureTech buildings and collaborates internationally, including with Wuhan University for joint Master's programs. Research Interests His work focuses on wave propagation modeling across rural, urban, and indoor environments, emphasizing computational electromagnetics, rough surface scattering, and metamaterial design. Innovations include full-wave models using integral equations and acceleration techniques like the Fast Far Field Algorithm (FAFFA) and Improved Tabulated Interaction Method (I-TIM). Urban studies involve vehicular channels and millimeter-wave systems, while indoor research explores volume integral equation methods and seamless localization (SEAMLOC). Teaching Brennan teaches advanced modules such as Propagation and Channel Modelling , , and engineering mathematics courses. His pedagogical contributions include developing technology-enhanced assessments (TeRMEd) and the UniDoodle student response system. Grants & Collaborations Research is supported by grants in wireless communication, sensor networks, and metamaterials. Collaborations span academia and industry, with notable projects in vegetation THz propagation, plant monitoring nanosensors, and curriculum design for telecommunication engineering. Labs & Teams He leads a dynamic team including graduates (e.g., Patrick Bradley, Marie Mullen) and current researchers (Vinh Pham, Ian Kavanagh). The group utilizes advanced simulation tools and experimental setups for propagation analysis, localization, and materials testing.

• Energy Efficient Networking
• Hardware Acceleration
• Cryptography Algorithms
• +4 more

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.

• Biometrics Security
• IoT Devices and Their Application
• Machine Learning
• +2 more

Dr. Aseel Bedari is a Casual Academic at the Centre for Technology Infusion and holds roles as a Sessional Lecturer and Lecturer Assistant in the Engineering and Computer Science department at La Trobe University, Melbourne, Australia. Their research focuses on Biometrics Security, IoT applications, Machine Learning, and Connected Automated Vehicles (C-ITS Technology). Bedari has contributed to advancements in fingerprint authentication systems, particularly in enhancing security and privacy in IoT and 5G environments. Recent work includes developing cancelable biometric systems and feature transformation techniques to protect sensitive biometric data. Their publications span topics like fingerprint minutiae modeling, dynamic key generation, and secure authentication protocols. Education: Bachelor of Control and System Engineering, University of Technology, Baghdad (2005–2009) Master of Electronic Engineering, La Trobe University (2015–2017) PhD in Biometric Security, La Trobe University (2018–2022) Research Trends: Bedari’s articles emphasize securing biometric data in IoT and industrial systems, leveraging mathematical models (e.g., Möbius transformations) and signal processing (convolution-based methods). Their work bridges theoretical biometric analysis with practical applications like 5G networks and automated vehicles. Labs/Teams: Affiliated with the Centre for Technology Infusion, focusing on technology transfer and innovation in engineering and computer science.

Muhammad AwaisView profile

Senior Lecturer

• Artificial Intelligence
• Trustworthy AI
• Self-Supervised Learning
• +5 more

Dr Muhammad Awais is a Senior Lecturer in Trustworthy and Responsible AI at the University of Surrey. He leads research on foundation models and self-supervised learning, with affiliations to the Surrey Institute for People-Centred Artificial Intelligence (PAI) and the Centre for Vision, Speech and Signal Processing (CVSSP). His expertise spans AI ethics, audio processing, medical AI, and biometric systems. Education: PhD in AI, MSc in AI, BSc Computer Engineering, BSc Mathematics and Physics. His research focuses on advancing AI through self-supervised learning techniques, with applications in healthcare (e.g., Parkinson’s Disease rehabilitation), transportation, and security systems. He has published extensively on topics like masked autoencoders, audio event classification, and age-invariant face recognition. Key contributions include DailyMAE (fast autoencoder pretraining), ASiT (audio-spectrogram transformers), and AiCareGaitRehabilitation (AI-driven gait rehabilitation). His work emphasizes ethical AI deployment and cross-modal learning.

Chuan FohView profile

Senior Lecturer

• Computer Networks
• Wireless Communication Protocols
• 5G/6G Networks
• +6 more

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.

Fan YangView profile

Adjunct Assistant Professor

• Networking Protocols
• Internet Architecture
• Telecommunications
• +3 more

Fan Yang is an Adjunct Assistant Professor at Boston University and the lead of Google’s networking protocol team. He specializes in internet architecture and protocol engineering, notably driving Google’s industry-first deployment of HTTP/3 over QUIC, which significantly improved latency for Google services. His research focuses on optimizing network protocols, satellite communications, and OFDM systems. Education: PhD in Computer Science from the University of Delaware (2015), where he worked in Professor Paul D. Amer’s Protocol Engineering Lab. Research Interests: Developing scalable internet protocols, enhancing TCP and multipath TCP performance, and applying advanced signal processing techniques to wireless communication challenges. His work bridges theoretical protocol design with real-world internet-scale deployment. Key technical contributions include QUIC protocol specifications, non-renegable selective acknowledgments (NR-SACKs), and channel estimation methods for OFDM systems. His publications span topics from HTTP/3 implementation to satellite-based TCP optimizations. Labs/Teams: Previously associated with the Protocol Engineering Lab at University of Delaware. Currently leads Google’s networking protocol team responsible for cutting-edge internet infrastructure projects.

Bernard MansView profile

Professor

• Algorithms and Complexity
• Graph Theory
• Distributed Computing
• +4 more

Professor Bernard Mans is a Professor at the School of Computing, Macquarie University. His research focuses on algorithms, dynamic networks, graph theory, and pandemic modeling. He served as Interim Executive Dean of the Faculty of Science and Engineering (2019–2020) and co-founded the Centre for Advanced Computing: Algorithms and Cryptography (ACAC). Mans holds the INRIA-Hitachi Chair (2003) and leads projects on document intelligence, vehicular networks, and dynamic network algorithms. Education: PhD in Computer Science from Université Pierre et Marie Curie (UPMC), Paris, France (1992). Research Interests: Design and analysis of algorithms for dynamic graphs/networks, wireless/mobile networks (vehicular/human mobility), functional graphs on finite fields, and disease propagation modeling. His work bridges theoretical computer science with practical applications in urban networks and blockchain energy efficiency. Recent Projects: Scalable Document Intelligence Platform (2022–2027), Future Web Management (ongoing), and Asynchronous Algorithms in Dynamic Networks (2016–2021). Notable Contributions: Pioneered studies on information dissemination in vehicular networks using hyperfractal models, developed vaccination strategies for dynamic networks, and advanced blockchain moderation techniques. His publications span algorithm design, network optimization, and pandemic modeling. Awards: INRIA-Hitachi Chair (2003). Labs/Teams: Co-founder of ACAC and affiliated with Data Horizons and Future Communications Research Centres at Macquarie University.

• Federated Learning
• Wireless Communication Systems
• Machine Learning
• +3 more

Dr. Mairton Barros is an Assistant Professor in the Division of Computer Systems at Uppsala University, Sweden. Previously, he held a Marie Skłodowska-Curie Postdoctoral Fellowship at Princeton University and KTH Royal Institute of Technology. His research focuses on federated learning, wireless communications, and optimization algorithms. He received his PhD from KTH in 2019, with earlier degrees from the Federal University of Ceará, Brazil. Education: PhD in Electrical Engineering, KTH Royal Institute of Technology (2019) MSc in Telecommunications Engineering, Federal University of Ceará (2014) BSc in Telecommunications Engineering, Federal University of Ceará (2012) Affiliations: Postdoctoral Researcher, KTH (2019-2022) Visiting Researcher, Princeton University (2022) Research Interests: His work bridges machine learning and wireless communications, emphasizing federated learning, full-duplex systems, and mmWave technologies. Key contributions include optimizing communication efficiency in distributed learning frameworks and advancing smart antenna techniques for full-duplex networks. Professional Activities: He has organized conferences (e.g., IEEE SECON 2022, IEEE GLOBECOM workshops) and delivered tutorials on wireless machine learning at major IEEE events. Recent grants include funding from Ericsson Research (2022). Lab/Team: Leads research initiatives in distributed intelligence and edge computing within Uppsala’s computer systems division.

Fatma BenkhelifaView profile

Lecturer

• Wireless Communication Systems
• 5G/6G Networks
• Internet of Things (IoT)
• +9 more

Dr. Fatma Benkhelifa is a Lecturer in Telecommunications at Queen Mary University of London (QMUL) and a Honorary Research Fellow at Imperial College London. She specializes in wireless communication systems, 5G/6G networks, IoT, energy harvesting, and physical-layer security. Her research integrates mathematical modeling, stochastic geometry, and machine learning to optimize resource management and network performance. Dr. Benkhelifa holds a PhD in Electrical Engineering from KAUST (2017), an MSc from KAUST (2013), and a Polytechnician Engineering Diploma from Ecole Polytechnique de Tunisie (2011). Her work focuses on advancing low-power wide-area networks (LPWAN), LoRa systems, and secure communication protocols. She has contributed to spatiotemporal modeling, reinforcement learning applications, and energy sustainability in IoT. Dr. Benkhelifa serves as an Associate Editor for IEEE Communications Letters and Frontiers in Communications and Networks, and is a Technical Committee member for IEEE ICC, GLOBECOM, and WCNC conferences. Recent research highlights include analyzing LoRa network scalability under imperfect spreading factor orthogonality, developing energy-harvesting frameworks for self-sustainable IoT, and investigating security protocols for non-terrestrial FSO links. Her grants include projects on 6G physical-layer security and wireless-powered LoRa monitoring in nuclear environments. Dr. Benkhelifa supervises PhD students in Electronic Engineering and Computer Science, emphasizing self-motivated candidates with strong backgrounds in wireless communications and mathematical skills. She actively promotes international scholarships for students from China and Pakistan.

Clive PariniView profile

Professor

• Microwave and Millimeter-Wave Antenna Measurements
• Compact Antenna Test Ranges
• Array Antenna Design
• +5 more

Clive Parini is a Professor of Antenna Engineering at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science and leading the Antennas & Electromagnetics Research Group. He holds a BSc(Eng) and PhD from Queen Mary College, University of London. His career includes significant contributions to antenna design, measurement techniques, and metamaterials. He has authored over 300 papers and co-authored the book 'Principles of Planan Near-Field Antenna Measurements' (2008). His research focuses on microwave/millimeter-wave antennas, compact test ranges, array design, and body-centric communications. Prof. Parini has received notable awards, including the IEE Measurements Prize (1990) and BAE Systems Bronze Award (2002). He is a Fellow of the IET and Royal Academy of Engineering. His leadership roles include Director of Research for the School of Electronic Engineering & Computer Science and past Chair of the IET Antennas & Propagation Professional Network. Research highlights include metamaterials for antennas, on-body communication systems, and high-frequency imaging. His work bridges academic and industrial applications, with contributions to 5G, satellite antennas, and compact test range technologies. Recent articles emphasize advanced measurement techniques, compressive sensing, and drone-based systems for antenna testing. Teaching spans undergraduate and postgraduate levels, covering satellite systems, microwave electronics, and research techniques. His work integrates computational electromagnetics, antenna diagnostics, and emerging 5G/6G challenges, ensuring his research remains impactful across academia and industry.

• Human-Robot Interaction
• Social Robotics
• Cognitive Load Measurement
• +3 more

Dr. Muneeb Ahmad is a Senior Lecturer in Computer Science at Swansea University, specializing in human-centered robotics and adaptive interaction systems. His research integrates human-computer interaction principles with intelligent robotics to develop socially engaging systems. Research Focus: Dr. Ahmad's work explores trust dynamics, cognitive load measurement, and adaptive behaviors in human-robot interaction, with applications in education, healthcare, and assistive technologies. His key research themes include: Psychophysiological measurement of trust and cognitive load Cross-cultural adaptation in social robots Multimodal interaction systems Reinforcement learning for adaptive behaviors Ethical implications of social robotics Recent publications demonstrate innovations in robot design for elderly care, trust optimization algorithms, deception detection systems, and fair interaction frameworks. His methodological approaches combine machine learning with human-centered design principles. Dr. Ahmad actively contributes to the research community as General Chair of the International Conference on Human-Agent Interaction and Guest Editor for ACM Transactions in Human-Robot Interaction.

• Computer Networks
• Edge Computing
• Digital Twins
• +4 more

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.

Jean-Christophe PlantinView profile

Associate Professor

• Politics of Platforms
• Data and Knowledge
• Media Infrastructures
• +4 more

Dr. Jean-Christophe Plantin is an Associate Professor in the Department of Media and Communications at the London School of Economics and Political Science (LSE). He serves as Exam Board Chair and focuses on the infrastructural role of digital platforms in society, particularly cybersecurity, data governance, and telecom policy. His research bridges platform studies, infrastructure studies, and political economy. Education & Professional Background: PhD in Communication & Information Studies, Université de Technologie de Compiègne (France) MAs from Université Paris 8 (France) and European Graduate School (Switzerland) Postdoctoral Fellow, University of Michigan (2015- ) Visiting Fellowships at Northwestern University, Fudan University, Sciences Po, and Microsoft Research Research Interests: Plantin explores how platforms shape societal infrastructure through case studies like bug bounty programs, 5G networks, and WeChat's techno-nationalist development. He emphasizes labor dynamics in data archives and the geopolitical implications of telecom standards. Grants & Funding: Projects supported by the Alfred P. Sloan Foundation, Gordon and Betty Moore Foundation, European Regional Development Fund, and LSE. Key Publications: Includes monographs on participatory mapping and co-editing the Sage Handbook of Data & Society, alongside influential articles on Open RAN, 5G policy, and platform labor in academic libraries.