Yu Zhang is a Lecturer in Computing (IoT/Networking) at the School of Computing, Macquarie University, Australia. He holds a PhD in Computer Science from RMIT University, an M.Eng in Distributed Computing from the University of Melbourne, and a B.Eng in Software Engineering from Southwest University for Nationalities. His research focuses on mobile computing, wireless sensor networks, embedded systems, on-device machine learning, and IoT, with emphasis on security, edge computing, and privacy preservation. He is affiliated with the Future Communications Research Centre and Smart Green Cities Research Centre. Dr. Zhang’s work integrates theoretical advancements with practical applications in IoT and edge computing. His research outputs span secure device communication, energy-efficient networking protocols, and anomaly detection frameworks. Collaborations include projects like the CSIRO Data61 PhD Scholarship. He actively contributes to IEEE and ACM, addressing challenges in privacy-aware systems and federated learning.
Maged Elkashlan is a Professor in the Department of Electronic Engineering at Queen Mary University of London, UK. He specializes in wireless communications, with a focus on 5G/6G systems, massive MIMO, reconfigurable intelligent surfaces (RIS), and ultra-reliable low-latency communication (URLLC). His research spans physical layer security, energy-efficient networks, and non-orthogonal multiple access (NOMA). He has authored over 200 papers in top-tier journals and conferences and holds editorial roles in IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, and others. He has supervised numerous PhD students, including current scholars working on RIS and cell-free MIMO. His teaching includes courses on digital signal processing, communication theory, and wireless communications at Queen Mary, the University of Sydney, and the University of New South Wales. He has organized major symposiums at IEEE ICC and VTC, and his work has been recognized through best paper awards and industry collaborations. Editorships: IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Molecular, Biological and Multi-Scale Communications Key Research Areas: Cell-Free Massive MIMO, RIS-aided systems, NOMA, URLLC, physical layer security Recent Activities: Symposium co-chair for IEEE VTC 2018 and ICC 2018, guest editor of IEEE Communications Magazine special issues on millimeter-wave and green media Grants & Funding: China Scholarship Council (CSC) for PhD students, various research grants supporting RIS and URLLC projects
Prof. Yi Ma is a Chair Professor at the Institute for Communication Systems (ICS) and the Home of the 6G Innovation Centre (6GIC) at the University of Surrey. He holds a Professorial rank in the School of Computer Science and Electronic Engineering. His research focuses on semantic/effective communication, machine learning for RF and physical layer design, MIMO technology, and opportunistic networking. Current PhD students include Yupeng Zheng, Ashkan Jafari, Zohre M. Bakhsh, and Mehdi Tafazolli. Research interests span scalable quantum-based wireless communications, distributed hybrid beamforming, and satellite communication systems. Recent publications highlight advancements in SA-MIMO, non-uniform quantization, and distributed MIMO-LEO networks. Prof. Ma teaches courses such as EEEM017 and EEE3006, and serves as an EEE examination officer. His work integrates theoretical contributions with practical applications, emphasizing future wireless systems and sensing technologies. Collaborations with industry and academia, including projects on 6G innovation, underscore his commitment to cutting-edge research.
Carlos António Cardoso Fernandes is a Full Professor at the Department of Electrical and Computer Engineering (DEEC) at Instituto Superior Técnico (IST), University of Lisbon, and a Senior Researcher at the Instituto de Telecomunicações (IT). He is the Thematic Line Coordinator for Wireless Technologies and leads the Antennas and Propagation Group. His research focuses on millimeter-wave antennas, metamaterials, medical microwave imaging, and satellite systems, with applications in IoT, body-area networks, and environmental monitoring. Education and Career: PhD in Electrical and Computer Engineering, IST (1990) Agregação (Habilitation), IST (2002) Full Professor since 2006 Past Vice-President of DEEC (2003–2004) Past Board Member of IT (2009–2024) Research Interests: Millimeter-wave antennas for 5G/6G and satellite communications Metamaterials for lens antennas and superlensing Medical microwave imaging for cancer screening RFID/UWB antennas for IoT and localization Radiowave propagation in complex environments Publications & Impact: Over 400 peer-reviewed papers (including 100+ journal articles), 6,000+ citations, and an h-index of 44. Key contributions include patents on antennas for medical imaging and satellite systems, and leadership in EU/ESA projects like ISTSat-1 (CubeSat mission). Awards & Recognition: Lifetime Achievement Award by PTSpace (2024) Prémio UTL/Santander Totta (2011) Top 2% Most-Cited Scientists (Stanford University, 2023/2024) Correspondent Member, Lisbon Academy of Sciences Students & Mentorship: Supervisor of 12 PhD and nearly 50 MSc students, with topics ranging from antenna design to medical imaging systems.
Faheem Ahmad is a Research Fellow at AAU Energy, Aalborg University, specializing in power electronics and industrial heating applications. He holds a PhD in Power Electronics from Aalborg University (2023), an M.Sc. in Energy Engineering (2020), and a B.Sc. in Electrical Engineering (2014) from Delhi Technological University. His research focuses on high-frequency converter topologies, resonant converters, and wide bandgap semiconductors, particularly for industrial heating systems. He has contributed to projects like GreenHeat (2023–2026) and RFheat (2020–2021), addressing energy-efficient RF generators and curing technologies. Education: PhD in Power Electronics, Aalborg University (2021–2023) M.Sc. in Energy Engineering, Aalborg University (2018–2020) B.Sc. in Electrical Engineering, Delhi Technological University (2010–2014) Research Interests: His work emphasizes advancing power electronics for industrial applications, including high-frequency converters and semiconductor integration in dielectric heating systems. He explores RF-based solutions for energy efficiency and modernizing industrial heating processes. Projects: GreenHeat : Developing energy-efficient RF generators for industrial heating (Innovation Fund Denmark, 2023–2026). CoDE : Center for Digitalized Electronics (Poul Due Jensen Foundation, 2021–2026). Transistorization of Industrial Dielectric Heating Plants : PhD project focusing on semiconductor-based heating systems (2021–2023). Impacts: His work on modular power converters has yielded economic impacts through improved industrial heating systems. He has presented at events like the PDJF Grundfos Prize Expo (2022–2023).
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.
Kimmo Juhani Kansanen is a Professor at the Department of Electronic Systems at NTNU, leading the Signal Processing Group. He holds an MSc and PhD in Electrical Engineering from the University of Oulu, Finland. Since 2006, he has been affiliated with NTNU, advancing to his current role in 2016. His research focuses on wireless communication systems, satellite technologies, and machine learning applications in positioning and communication. **Education**: MSc in Electrical Engineering, University of Oulu PhD in Electrical Engineering, University of Oulu **Research Interests**: Kansanen specializes in error-correcting coding for satellites, localization and communication systems, MIMO spread spectrum techniques, and 5G infrastructure. He also explores medical sensing and wireless communication using ultra-wideband technology. **Grants & Projects**: He has led multiple EU and ESA-funded projects, including: "Air interface development for ultra-low powered IoT satellite applications" (ESA ARTES, 2020–2022) "User Terminal Wideband Modem for VHTS" (ESA, 2018–2020) "Massive Simple IoT" (RCN IKTPLUSS) **Patents**: Holder of US patents 7447285, 7492844, and 7466779 related to data processing and transmission methods.
Jimmy Jessen Nielsen is an Associate Professor in the Department of Electronic Systems at Aalborg University, under The Technical Faculty of IT and Design, Denmark. His research focuses on wireless communications, particularly in ultra-reliable low-latency communication (URLLC), 5G/6G networks, Internet of Things (IoT), satellite communications, and energy-autonomous networks. He is actively involved in several EU- and ESA-funded research initiatives such as PAINLESS, WILLOW, ONE5G, and SATNEX V, where he serves as principal investigator or key participant. His research interests lie at the intersection of wireless access technologies, network optimization, and cyber-physical systems. He explores topics including network slicing, UAV-based access points, software-defined radio, and indoor localization using building plans. His work contributes to UN Sustainable Development Goals in Communication and Informatics, Mathematics and Statistics, and Energy Engineering. His recent publications show a strong trend toward real-time adaptive networking, human-in-the-loop control over wireless links, and infrastructure-less communication systems. These works often involve collaborations with leading researchers such as Petar Popovski and Bosch Soret, and are published in high-impact IEEE venues including IEEE Transactions on Haptics and IEEE Open Journal of the Communications Society. Scientific Awards: Best Paper Award (2021) – for research on Micro Aerial Vehicle Networks and Access Points Nielsen has supervised and examined multiple PhD students and has been an active academic reviewer and committee member. He led the Department of Electronic Systems as chair starting in 2022 and has participated in numerous PhD defenses as both internal and external examiner. He also contributes to public discourse through media appearances on topics like Wi-Fi optimization and future mobile networks for robotics. He is affiliated with the Connectivity section at Aalborg University and maintains an active research profile with ongoing projects extending into 2025. His work emphasizes practical, deployable solutions for next-generation communication systems.
Dr Philip Nobles is a Lecturer at Cranfield University, affiliated with the Centre for Defence Engineering and Physical Science within the College of Engineering and Physical Sciences. He holds a PhD and MEng from Swansea University and has over 25 years of experience in academic and applied research in communications and cybersecurity. PhD, Swansea University MEng, Swansea University His research expertise lies in communications systems, defence information systems, and cybersecurity, with a focus on wireless networks, software-defined networking, military communications, and intrusion detection. He leads the development and delivery of an MSc module on Networked Systems and Cybersecurity for Connected and Autonomous Vehicles, and supervises research students. His work is supported by collaborations with DSTL/MOD, Airbus, EPSRC, BBC, and Philips Research Laboratories. Dr Nobles has published extensively on topics including intrusion detection sensor characterization, false positive responses, insider threat detection, and wireless communication systems. His publications reflect a strong trend in network security, sensor deployment optimization, and secure communications for defence and autonomous systems. Notable scientific contributions include work on: Characterising intrusion detection sensors False positive response mechanisms Scalable intrusion detection architectures Bayesian approaches to insider threat detection He actively supervises research students and contributes to high-impact projects funded by EPSRC and other strategic partners. His research integrates theoretical modeling with practical system deployment, particularly in military and critical infrastructure contexts. Dr Nobles is associated with the Department of Informatics and Sensors at Cranfield University, where he contributes to advanced research in network-centric warfare concepts and secure communication systems.
Dr. M. M. El-Gayar is a faculty member at Mansoura University, affiliated with the Faculty of Computer and Information and the Department of Computer Science. He is also associated with New Mansoura University, reflecting his active role in Egypt's evolving academic landscape in computer science and engineering. His research spans key domains in modern computing, focusing on Artificial Intelligence , Data Mining , Deep Learning , and their applications in healthcare , cybersecurity , and the Internet of Things (IoT) . His work integrates computational intelligence to solve real-world problems such as disease diagnosis, medical image analysis, and secure digital systems. The recent publications highlight a strong trend toward applying hybrid and deep learning models in medical diagnostics, including breast cancer and heart disease prediction, as well as semantic analysis for pneumonia detection in pandemic contexts. His IoT research emphasizes optimization for device localization, while cybersecurity efforts focus on phishing mitigation. These interdisciplinary efforts reflect a cohesive research vision centered on intelligent systems for societal benefit. Dr. El-Gayar has received research support from prestigious organizations including the United States Agency for International Development and the British Council , underscoring the international relevance and impact of his work. He has contributed to multiple high-impact journals such as IEEE Access , Computers, Materials and Continua , and the International Journal of Electrical and Computer Engineering , demonstrating consistent scholarly output and collaboration.
Seyed Masoud Sotoodeh Bahraini is an Assistant Professor at Sirjan University of Technology and Senior Research Fellow at the University of Birmingham. His career spans multiple institutions including Loughborough University (Research Associate/Teaching Fellow) and City, University of London (Postdoctoral Research Fellow). Current Affiliations: Assistant Professor, Sirjan University of Technology Senior Research Fellow, University of Birmingham Past Positions: Research Associate & Teaching Fellow, Loughborough University (2022-2024) Postdoctoral Research Fellow, City, University of London (2019-2021) Dr. Bahraini's research bridges robotics, control theory, and fractional calculus applications. His work focuses on: SLAM and visual odometry in dynamic environments Human-robot collaboration gestural interfaces Fractional-order control for chaotic systems Viscoelastic material modeling in microbeams Multi-robot cooperation for planetary exploration Deep learning integration in robotic perception His publications since 2013 demonstrate expertise in applying fractional calculus to mechanical systems and advancing SLAM algorithms through machine learning. Key trends include: 2013-2014: Foundational work on fractional derivative models for viscoelastic beams 2018-2021: Development of ML-RANSAC SLAM techniques and planetary exploration robotics 2023-2025: Expansion into fuzzy fractional control and human-robot interaction gestures
Huib Visser is a part-time Professor of 'Wireless Data and Power Transfer for Miniature and Environment-Independent Electronics' at Eindhoven University of Technology's Department of Electrical Engineering. His primary affiliation is with IMEC Netherlands at Holst Centre Eindhoven, where he leads Wireless Power Transfer research. He holds a PhD from TU/e and KU Leuven (2009) and an MSc in Electrical Engineering from TU/e (1989). Research focuses on optimizing rectennas, phased array antenna technology, and wireless power transfer for biomedical applications. Key areas include antenna miniaturization, near-field measurements, and MMIC design. He authored three books on antenna theory and served as chief editor of the NERG Journal. Publications emphasize advancements in radar-based life-sign detection, indoor tracking systems, and biomedical implant power solutions. His work bridges electromagnetic theory with practical applications in healthcare and sensor networks. Labs/Teams: Leads the Electromagnetics for Care + Cure Research Lab (EM4Care+Cure) and contributes to EIRES Research initiatives.
Roberto Gil Pita is a Professor at the University of Alcalá (Spain), affiliated with the Department of Signal Theory and Communications. He leads the AES3 research group focusing on acoustic and electromagnetic smart sensor networks and signal processing applications. His doctoral work (2006) centered on radar target classification using statistical and AI methods under the supervision of Dr. Manuel Rosa Zurera. His research spans signal processing, machine learning, and their applications in aerospace, biomedical systems, and smart cities. Key areas include UAV detection, emotion recognition from speech, and acoustic localization using microphone arrays. His academic background includes a doctorate from the University of Alcalá and extensive contributions to wireless acoustic sensor networks, hearing aid signal processing, and bioimpedance spectroscopy. He has developed energy-efficient algorithms for real-time audio analysis, acoustic violence detection systems, and robust methods for speech enhancement in noisy environments. His work bridges theoretical signal processing with practical engineering solutions for defense, healthcare, and urban monitoring. Research interests extend to aeroelastic flutter analysis in aviation, wearable biomedical sensors for stress assessment, and data-driven approaches for sound environment classification. He has pioneered the use of deep learning in flutter testing and acoustic event classification, contributing to datasets like REALISED for benchmarking machine learning models. Notable projects include acoustic localization of drones using microphone arrays, real-time emotion detection systems, and collaborative research in smart healthcare technologies. His work emphasizes computational efficiency and energy conservation, particularly for embedded systems and battery-operated devices.
Erman Ayday is an Associate Professor at the Department of Computer and Data Sciences within the Case School of Engineering at Case Western Reserve University. His research focuses on privacy-enhancing technologies, data security, and applied cryptography, with a particular emphasis on genomic privacy, cybersecurity in smart grids, and trust management in ad-hoc networks. He holds a PhD, MS, and BS in Electrical and Computer Engineering from Georgia Institute of Technology (2011) and Middle East Technical University (2005). Education: PhD in Electrical and Computer Engineering, Georgia Institute of Technology (2011) MS in Electrical and Computer Engineering, Georgia Institute of Technology (2007) BS in Electrical and Electronics Engineering, Middle East Technical University (2005) Research Interests: Dr. Ayday’s work addresses privacy challenges in genomic data sharing, secure collaborative learning, and trust management in wireless networks. He explores cryptographic solutions for genomic data protection, inference attack mitigation, and privacy-preserving frameworks for location-based services. His contributions span publications in top-tier journals and conferences, including IEEE Transactions on Dependable and Secure Computing and Bioinformatics. Key Research Trends: His articles highlight advancements in differential privacy for genomic data, secure watermarking techniques, and re-identification attack mitigation. Recent work emphasizes the intersection of machine learning, cryptography, and ethical genomic data use. Grants & Advising: While specific grants are not listed, his publications indicate sustained engagement with funding bodies in cybersecurity and genomics. He advises on projects related to privacy-preserving technologies and has collaborated with institutions like ETH Zurich and IBM Research. Labs & Teams: He leads research initiatives at the Case School of Engineering focused on privacy in big data and cybersecurity for emerging technologies like smart grids and M2M networks.
Ahmad Syahrir Ayub is a Teaching Fellow in the Department of Electronic and Electrical Engineering within the Faculty of Engineering at the University of Strathclyde, Glasgow, UK. He is recognized as a Senior Fellow of the Higher Education Academy (SFHEA), reflecting his commitment to excellence in teaching. Prior to his current role, he served as a Lecturer and Course Leader for the Graduate Apprenticeship BEng in Instrumentation, Measurement and Control at Robert Gordon University, and as a lecturer at Perth College, University of the Highlands and Islands. He also contributed as a researcher in the High Voltage Technologies (HVT) Group at the University of Strathclyde. His educational background includes a Bachelor of Engineering in Electrical and Electronic Engineering from Cardiff University and an ILM Level 3 Award in Leadership and Management. These qualifications underpin his technical and pedagogical expertise. Ahmad's research spans critical areas in electrical engineering and sustainability. His primary interests include lightning and lightning protection systems, cable diagnostics through partial discharge detection, renewable energy integration (particularly wind and solar), and engineering pedagogy. His work contributes to UN Sustainable Development Goals, especially in clean energy and climate action. He has actively participated in innovation projects focused on emissions monitoring, wireless communication for IoT, and energy efficiency in public infrastructure like ice rinks. The recent publications highlight a strong trend in condition monitoring of power systems, particularly through acoustic and signal processing techniques for fault diagnosis in cables. Additional work explores renewable energy modeling and materials science applications, indicating a multidisciplinary approach bridging engineering fundamentals with sustainable technology development. Senior Fellowship of Higher Education Academy (SFHEA) Fellowship of Higher Education Academy (FHEA) STAR Awards 2021 - Certificate of Recognition - Academic Staff OBI Most Inspiring Lecturer (HISA) 1st Paper Prize Award Ahmad has served as a co-investigator on multiple funded innovation projects, including those supported by Scottish Enterprise through Innovation Voucher Awards totaling over £37,000. These projects involved collaborations with industry partners on real-time CO2 emission sampling, drone-based wireless communication, landmine detection sensors, and energy efficiency in ice rinks. While no formal students are listed, his role as a teaching fellow and course leader indicates significant mentorship and curriculum development responsibilities. He has also contributed to climate education through participation in EnRoads climate simulator workshops. His research is conducted within interdisciplinary teams, often collaborating with experts in renewable energy, wireless systems, and environmental monitoring. These collaborations reflect a strong network across academia and industry, particularly in applied engineering solutions for sustainability challenges.
