Professor Robert G. Maunder is affiliated with the University of Southampton and leads research in wireless communications, algorithms design, and hardware implementation. He has been with the School of Electronics and Computer Science since 2000, advancing from Lecturer to Professor in 2017. BEng (First Class) in Electronic Engineering (2003) PhD in Telecommunications (2007) His research focuses on joint source/channel coding and optimizing wireless communication systems through algorithm-hardware co-design. Recent work includes 5G non-terrestrial networks, OTFS modulation, and quantum code decoding. Key collaborators include Prof. Lajos Hanzo and Prof. Sir Bashir Al-Hashimi. Selected awards: IEEE Senior Member (2012), Chartered Engineer (IET, 2013), Fellow of the IET (2017). He supervises PhD student Arumjeni Mitayani and founded AccelerComm Ltd to commercialize soft-IP solutions.
Murat Uysal is a Professor and Founding Chair of Electrical and Electronics Engineering at Özyeğin University, Istanbul, Turkey. He serves as Founding Director of the Center of Excellence in Optical Wireless Communication Technologies (OKATEM) and leads the CT&T Research Group. Previously, he was a tenured Associate Professor at University of Waterloo, Canada. B.Sc., M.Sc., and Ph.D. in Electrical/Electronics Engineering from Istanbul Technical University and Texas A&M Specializes in wireless and optical communication theory, with 400+ publications and 17,000+ citations Holds 3 US patents in vehicular and visible light communication Research focuses on physical layer aspects of wireless systems across radio and optical bands, including: Underwater and vehicular visible light communication Free space optical systems with UAV support Cooperative communication and diversity techniques Channel modeling for Li-Fi and industrial environments Recent publications show strong emphasis on: Underwater optical communication optimization UAV-assisted FSO systems LED response modeling for VLC Multi-hop relay systems Key scientific awards include: IEEE Fellow (2019) NSERC Discovery Accelerator Award Turkish Academy of Sciences Distinguished Young Scientist Award Multiple IEEE Best Paper Awards Advises 14 graduate students across M.Sc. and Ph.D. programs. His research group maintains collaborations with: IEEE Transactions on Communications (Area Editor) IEEE standards development (802.11bb, 802.15.7r1) Hyperion Technologies (co-founder)
Lajos Hanzo is a distinguished Professor at the University of Southampton's School of Electronics and Computer Science (ECS), where he has established himself as a leading authority in wireless communications and signal processing. His academic profile showcases extensive contributions to the field with over 1400 publications and significant recognition through multiple prestigious fellowships. Dr. Hanzo received his degree in electronics in 1976 and his doctorate in 1983, followed by an honorary doctorate in 2009. His educational background laid the foundation for a career that has continually evolved with communication technologies from early wireless systems through to contemporary 6G research and quantum communications. Hanzo's research spans wireless communications, optical wireless systems, MIMO technologies, and increasingly intersects with artificial intelligence applications for next-generation networks. His work demonstrates remarkable synergy between theoretical foundations and practical implementations, addressing challenges in spectral efficiency, channel capacity, and reliable transmission across diverse communication scenarios. He has made seminal contributions to space-time coding, non-orthogonal multiple access (NOMA), and index modulation techniques that have influenced multiple generations of wireless standards. Analysis of his recent publications reveals a clear progression toward more complex communication paradigms, with increasing focus on 6G technologies, integration of deep learning with traditional communication theory, and exploration of quantum-inspired communication approaches. His work consistently addresses the tension between theoretical capacity limits and practical implementation constraints, with recent papers demonstrating particular interest in millimeter-wave communications, visible light communication, and massive connectivity solutions for IoT applications. FREng (Fellow of the Royal Academy of Engineering) FIEEE (Fellow of the IEEE) FIET (Fellow of the Institution of Engineering and Technology) Fellow of EURASIP (European Association for Signal Processing) DSc (Doctor of Science) While specific details of his advising activities aren't prominently featured in the provided materials, Hanzo's extensive publication record spanning multiple decades suggests significant mentorship of graduate students and postdoctoral researchers. His research has clearly attracted substantial funding to support investigations across wireless communications, with particular emphasis on coding theory, MIMO systems, and next-generation network architectures. The collaborative nature of his recent work indicates ongoing engagement with international research consortia addressing 5G evolution and 6G standardization.
Simon Rommel is an Assistant Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), specializing in Terahertz Systems and Quantum & Terahertz Systems. He holds a PhD from the Technical University of Denmark (2017) and prior degrees from the University of Stuttgart, Aston University, and Scuola Superiore Sant’Anna. His research focuses on converged mm-wave/THz radio and optical links, 5G/6G systems, quantum key distribution (QKD), and advanced optical fibers. He leads the QKD testbed development under Quantum Delta and QTe initiatives. Key projects include QCINed (National Quantum Communication Infrastructure), HiCONNECTS (Heterogeneous Integration), and ALLEGRO (Secure Networks). Rommel has received awards such as the 2023 EuCNC/6G Summit Best Student Paper and 2021 OECC Best Student Paper. His work spans 155+ publications, with recent articles addressing quantum-resistant TLS, polarization mitigation in optical fibers, and 5G/6G fronthaul architectures. He also contributes to editorial roles in journals like Frontiers in Future Transportation and scientific activities including 5G-MOBIX events.
Professor Emanuele Viterbo is a faculty member in the Department of Electrical and Computer Systems Engineering at Monash University, where he has served as Professor since 2010 and Associate Dean (Graduate Research) from 2012 to 2020. His research focuses on error control coding, lattice codes, and algebraic coding theory with applications to wireless communications. He holds a PhD and Laurea in Electrical Engineering from Politecnico di Torino. Key research areas include lattice codes for fading channels, algebraic space-time coding (e.g., Golden Code), and OTFS modulation. He has received prestigious awards such as the IEEE Fellow designation (2011) and the Australia-India Fellowship (2012-13). His work on polar codes and coding for NAND flash memories has advanced practical coding schemes for modern communication systems. Major grants include projects on blockchain coding, high-mobility wireless systems, and NAND flash memory reliability. He has supervised numerous PhD students and contributed to foundational research in information theory. His affiliations include leadership roles in IEEE committees and visiting research positions at institutions worldwide. Scientific achievements include pioneering contributions to space-time coding and lattice-based modulation. Current projects explore OTFS modulation, error control for blockchains, and advanced modulation techniques for 5G/6G networks.
Prof. Dr.-Ing. habil. Volker Kühn serves as Professor and Head of the Institute of Communications Engineering at the University of Rostock within the Faculty of Computer Science and Electrical Engineering. He concurrently holds the position of Vice Dean of the Faculty while directing academic operations as Chairman of both the Electrical Engineering and Medical Information Technology Examination Boards. His research integrates wireless communications theory with biomedical applications, specializing in spatial modulation techniques, information bottleneck optimization, and electrical impedance tomography signal processing. Current work focuses on machine learning-enhanced physiological monitoring systems and distributed compression algorithms for sensor networks, with significant contributions to bias-free spectral estimation from irregularly sampled data. Analysis of his 2021-2025 publications reveals three dominant research thrusts: (1) neural network applications for medical signal processing, (2) information-theoretic optimization of communication protocols, and (3) advanced spectral estimation methods for biomedical and sensor data. This interdisciplinary approach bridges communications engineering with healthcare technology development. Prof. Kühn actively mentors students as Study Advisor for Electrical Engineering and Academic Advisor for Medical Information Technology. His leadership extends to the ITG Technical Committee 5.1 on Information and Systems Theory and IEEE societies. The Institute of Communications Engineering under his direction maintains specialized laboratories for wireless communications testing, medical signal acquisition, and MIMO system prototyping, supporting both fundamental research and industry collaboration projects in 5G/6G technologies and healthcare IoT.
Prof. Jörn Ostermann is a Full Professor and Head of the Institut für Informationsverarbeitung at Leibniz Universität Hannover since 2003, with prior roles at AT&T Bell Labs and AT&T Labs-Research. He served as Dean of the Faculty of Electrical Engineering and Computer Science (2011–2013) and member of the Senat (since 2020). His research spans video coding, computer vision, machine learning, 3D modeling, and computer-human interfaces , with applications in SAR imaging, predictive maintenance, children's speech analysis, and cochlear implants. Key projects include Next Generation Video Coding , Conditional Coding for Learned Compression , and GreenAutoML4FAS . Notable trends in his recent publications (2025–2023) include Neural network-based video compression Uncertainty estimation in speech recognition Zero-delay coding for cochlear implants Domain adaptation for aerial image segmentation 3D mesh compression standards Error concealment in VVC coding Scientific recognitions: AT&T Standards Recognition Award (1998) ISO Award (1998) IEEE Fellow (2005) Distinguished Lecturer, IEEE CAS Society (2002/2003) MPEG Convenor (2020–2023) He co-authored a graduate textbook on Video Communications , holds >30 patents, and has led >20 research projects. His work bridges academic research and industrial standardization, particularly in MPEG and IEEE committees.
María José Madero Ayora is a Professor at the Department of Signal Theory and Communications , Universidad de Sevilla , specializing in nonlinear system modeling and digital predistortion for wireless communication systems. Her research focuses on Volterra series applications in power amplifier linearization, microwave measurements , and machine learning techniques for signal processing. Principal Investigator for projects like Statistical Signal Modeling for Brain-Computer Interfaces (PID2021-123090NB-I00) Recipient of the Arftg Roger Pollard Student Fellowship in microwave measurement Her work spans 5G waveform linearization , I/Q modulator impairments , and thermal memory effects in RF amplifiers. Recent publications combine sparse Bayesian methods with Volterra models to address nonlinear distortion in OFDM and visible light communication systems. She has supervised doctoral theses and participated in international conferences across the U.S., Europe, and Asia.
Philippe Ciblat is a Full Professor at Institut Polytechnique de Paris , affiliated with the Communications and Electronics Department (Comelec) and the Information Processing and Communication Laboratory (LTCI) . He obtained his Engineering Degree from Télécom Paris (1996), DEA in Automatic Control from Université Paris-Saclay (1996), PhD from Université Gustave Eiffel (2000), and HDR diploma (2007). After a postdoctoral fellowship at Université de Louvain (2001), he joined Télécom Paris as Associate Professor in 2001 and was promoted to Full Professor in 2011. Research Activities: His research spans three core areas: Statistical/Digital Signal Processing (blind equalization, frequency estimation, distributed estimation) Signal Processing for Communications (OFDM synchronization, UWB localization, cooperative communications) Resource Allocation (HARQ optimization, power allocation, distributed networks) Scientific Leadership: He has served as Associate Editor for IEEE Transactions on Signal and Information Processing over Networks (2018-2022), Senior Area Editor for IEEE Transactions on Signal Processing (2011-2012), and held editorial roles in IEEE Communications Letters and Transactions on Signal Processing. He chairs technical committees at EUSIPCO, SPAWC, and IEEE conferences. PhD Supervision: He has mentored 23 PhD students, including Current: Nils Reynaud (deep reinforcement learning for wind farms), Abdelghani Ghanem (multi-agent driving behavior), Sylvain Nerondat (deep reinforcement learning for ad hoc networks) Former: Yue Bi (distributed computing), Hakim Hafidi (robust graph ML), Arthur Louchart (nonlinear satellite systems), Vincent Corlay (lattice decoding), Alix May (optical network monitoring) Grants & Collaborations: Currently leads projects with TotalEnergies (2025-2028), PEPR Twinfarms (2025-2028), and ANR SUCCEN (2025-2027). Formerly secured ANR, Marie-Curie, and CIFRE grants with Thales, Nokia, Mitsubishi, and Huawei. Labs & Teams: Affiliated with LTCI (Signal, Statistics and Learning team) and has conducted sabbaticals at Technische Universität Berlin, Rutgers University, and Universidad Nacional de Colombia. Actively participates in international conferences as TPC member and reviewer.
Xiao-Feng Qi is a Research Professor at the Department of Electrical and Computer Engineering at the University of Delaware. His career spans over three decades in corporate R&D, including leadership roles at Intel, Broadcom, and Futurewei, focusing on wireless communication systems such as DSL, Wi-Fi, LTE, and 5G. He holds a PhD in Electrical Engineering from the University of Connecticut (1992) and a BS from Jiao Tong University (1985). Dr. Qi's research emphasizes full-stack, multidisciplinary approaches to wireless signal processing, with a focus on adaptive algorithms, MIMO systems, millimeter-wave communication, and distributed network architectures. His work addresses challenges in dynamic radio environments, including interference mitigation, channel reconstruction, and hybrid beamforming. His recent publications highlight advancements in reconfigurable intelligent surfaces, phased array systems, and resolution-optimized massive MIMO networks. Collaborative efforts with academia and industry have driven innovations in 4G/5G infrastructure and beyond-5G technologies. His technical leadership includes managing graduate intern programs and university partnerships. Key technical contributions span signal processing architectures, SAR ADC optimization, and photonic implementations for RF systems. He has pioneered opto-electronic solutions for multi-band phased arrays and developed novel channel modeling techniques for distributed MIMO systems.
Prof. Donciu Codrin is a full professor at the Department of Electric Power Engineering, Technical University of Iasi. His research spans interdisciplinary fields including signal processing, image processing, earthquake early warning systems, and textile engineering. He leads projects on seismic response analysis using uniaxial shaking tables, non-invasive eye safety systems (e.g., Opto-Guard), and ESD-protective textiles. His work integrates hardware design (e.g., electrodynamic actuators) with advanced algorithm development for applications like video-based distance measurement and apparel sizing estimation. Research projects include: Signal Processing : OFDM modulation, DFT/FFT algorithms, and seismic waveform analysis Computer Vision : Pattern recognition, 3D reconstruction, and human-centric interface design Structural Engineering : Earthquake simulation platforms and early warning system validation Textile Innovation : Conductive fabric development for ESD protection and functional garments Recent publications focus on seismic wave analysis (2023–2025), optoelectronic safety systems (2022), and ultrasonic sensing technologies (2020–2021). His work bridges theoretical signal processing with real-world applications in disaster preparedness and ergonomic design.
Il Min Kim is a Professor and Chair of Undergraduate Studies in the Department of Electrical and Computer Engineering at Queen's University, Canada. He is affiliated with the Smith Engineering School and holds cross-appointments as Adjunct Professor at the University of Ottawa's School of Electrical Engineering and Computer Science. His research focuses on AI-driven wireless systems, including edge AI, federated learning, and Geoscience AI. He leads the Ubiquitous Artificial Intelligence Lab (UAI Lab) and is a core member of the Ingenuity Labs Research Institute and Queen's Centre for Security & Privacy. Education: PhD in Electrical Engineering from KAIST (2001), followed by postdoctoral work at MIT and Harvard. He joined Queen's in 2003, progressing from Assistant to Full Professor (2014). Awards include the CVPR 2024 Challenge Prize, KOFST President’s Award (2021), and multiple ECE Best Professor Awards. He has over 150 patents in AI/communications and serves on editorial boards of IEEE journals. Research interests span AI for 6G, V2X communications, and secure machine learning. His work emphasizes practical applications in IoT, energy efficiency, and privacy-preserving techniques.
Dr. Wei Jin is a Lecturer (Teaching and Research) at the School of Computing and Engineering, Bangor University. He holds a Ph.D. in Optical Engineering from the University of Electronic Science and Technology of China (2017). Previously, he served as a lecturer at Southwest Petroleum University (2017–2018) and a postdoctoral researcher in the Optical Communications Research group at Bangor (2019–2021), before securing his current lectureship. His research focuses on high-speed optical transmission systems, low-cost optical access networks, and advanced digital signal processing (DSP) algorithms. He has authored/co-authored over 75 peer-reviewed publications. Dr. Jin teaches courses including ICE-2601 Data Systems, Management & Eth and ICE-4414 RF & Optical MEMS , and supervises undergraduate, MSc, and PhD projects. His work emphasizes seamless network convergence, reconfigurable optical components, and security in optical communication systems. Key contributions include experimental demonstrations of advanced transceiver designs and network architectures for 5G and beyond. He is affiliated with the Digital Signal Processing Centre of Excellence (DSP Centre) at Bangor University. Recent research trends in his publications highlight innovations in physical layer security using chaotic digital filters, seamless fiber-wireless access networks, and dynamic sub-wavelength switching. These advancements address challenges in next-generation optical networks, including low-cost scalability and robust security measures. His work bridges theoretical DSP algorithms with practical implementations in real-world communication systems. Awards: None explicitly mentioned in the provided texts. Grants: Not detailed in the current text excerpts. Labs/Teams: Member of the Optical Communications Research group and the Digital Signal Processing Centre of Excellence (DSP Centre).
Professor Akram Alomainy is a distinguished academic at Queen Mary University of London, where he serves as Professor of Antennas and Applied Electromagnetics, Deputy Dean for Postgraduate Research in the Faculty of Science and Engineering, and Head of the Centre for Electronics within the School of Electronic Engineering and Computer Science. His research spans multiple interdisciplinary domains, with a strong emphasis on applied electromagnetics, wearable technology, and biomedical applications. His research interests include Antenna Engineering, Applied Electromagnetics, Biomedical and Healthcare, Communication Engineering, Radio Propagation, Wearable Technology, Terahertz Sensing, and Body-Centric Wireless Communication . His work integrates engineering principles with healthcare innovations, particularly in areas such as remote patient monitoring, smart sensors, and non-invasive diagnostics. The recent publications highlight a strong trend toward miniaturized and implantable antennas for medical devices, terahertz-based biosensing for cancer detection, millimeter-wave radar for health monitoring , and the application of machine learning and deep learning in signal and image processing for healthcare. These works demonstrate a consistent focus on solving real-world medical and communication challenges through advanced electromagnetic systems. Scientific recognitions include the 2011 British Science Festival Isambard Kingdom Brunel Award and the QMUL Education Excellence Award 2019 . He is also an Associate Editor for IEEE AWPL and IEEE J-ERM, reflecting his leadership in the research community. Prof. Alomainy leads several significant research grants funded by EPSRC, Huawei, and Innovate UK, covering areas such as smart sensors for virtual wards, antenna measurement metrology, and wearable-free health monitoring. He is actively involved in advising and leading research teams, contributing to advancements in nano-scale communication, cognitive radio, and wireless body area networks. His leadership in projects like the Wearable Technology and Creativity Research initiative underscores his commitment to innovation. He is affiliated with multiple research centres including the Centre for Electronics, Centre for Bioengineering, Centre for Brain and Behaviour, and Centre for Networks, Communications and Systems , indicating a collaborative and multidisciplinary research environment. His lab work focuses on developing wearable and implantable devices, RF sensing systems, and terahertz imaging tools for future healthcare applications.
Dr. Mostafa Salah is an active researcher in wireless communication systems, with 12 publications indexed in dblp between 2010-2024. His work spans multiple cutting-edge domains including reconfigurable intelligent surfaces (RIS), mmWave 5G networks, and biomedical signal processing applications. Key Research Areas: Wireless Communication, Beamforming Optimization, IoT Protocols, Machine Learning in Signal Processing Recent Contributions: 2024 publications on aerial gateway systems, transfer deep-learning for blood pressure monitoring, and mmWave beam routing Collaborations: Frequent co-authorship with Osama A. Omer, Ahmed S. Mubarak, and Usama Sayed Mohamed across multiple journals
