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.
Franz Lampel is a Research Fellow at Eindhoven University of Technology's Signal Processing Systems department. He holds a B.Sc. (2015), M.Sc. (2018) from Graz University of Technology, and a Ph.D. (2024) from TU/e. His research focuses on signal processing for joint communication and sensing, waveform design, and radar-communication integration, particularly in automotive applications. He contributes to projects like IT-JCAS (2024–2028) and DIGI-OPT (2018–2026). Education: Bachelor's in Electrical Engineering, Graz University of Technology (2012–2015) Master's in Electrical Engineering, Graz University of Technology (2015–2018) Ph.D. in Joint Radar and Communication Techniques for Automotive Applications, TU/e (2024) Research interests include waveform design for radar-communication coexistence, dispersive channel equalization (e.g., OTFS modulation via Zak transforms), and FMCW radar signal processing. His work bridges theoretical signal processing with practical automotive and communication systems. Recent publications address OTFS equalization, radar dispersion compensation, and OFDM waveform optimization. He collaborates on projects like the Integrated Cooperative Automated Vehicles initiative (2016–2021), focusing on automotive radar systems. His lab affiliations include the Information and Communication Theory Lab at TU/e.
Derrick Wing Kwan Ng is a Scientia Associate Professor in the School of Engineering, specializing in Electrical Engineering and Telecommunications at the University of New South Wales (UNSW). He holds editorial positions with prestigious IEEE journals including IEEE Transactions on Communications and IEEE Transactions on Wireless Communications, and serves as an area editor for the IEEE Open Journal of the Communications Society. Dr. Ng received his Bachelor of Engineering degree with First Class Honors in Electronic Engineering from The Hong Kong University of Science and Technology (HKUST) in 2006, followed by a Master of Philosophy (M.Phil.) from the same institution in 2008 under Prof. Vincent K. N. Lau. He completed his Ph.D. at the University of British Columbia (UBC) in 2012 under Prof. Robert Schober. He has held research positions including Senior Research Fellow at the Institute for Digital Communications at Friedrich-Alexander-University, Germany, and ARC DECRA Research Fellow from 2017 to 2019. Dr. Ng's research focuses on cutting-edge wireless communication technologies, particularly in the areas of Integrated Sensing and Communication (ISAC) , Reconfigurable Intelligent Surfaces (RIS) , and 5G/6G wireless systems . His work addresses critical challenges in wireless networks including physical layer security, energy-efficient resource allocation, and advanced signal processing techniques for next-generation wireless systems. His research has significant implications for improving wireless network performance, security, and reliability in diverse applications from terrestrial to satellite communications. Dr. Ng has been recognized as an IEEE Fellow (Class 2021) and has been a Highly Cited Researcher by Clarivate Analytics since 2018. His research has garnered over 17,900 citations with an h-index of 64 (as of February 2022). He has received numerous prestigious awards including the IEEE TCGCC Best Journal Paper Award in 2018, IEEE ICC Best Paper Awards in 2018 and 2021, IEEE Globecom Best Paper Awards in 2011 and 2021, and several other conference best paper awards. As an educator and research leader, Dr. Ng has supervised numerous graduate students and secured significant research funding for his projects. His editorial service spanning over a decade, including serving as editorial assistant to the Editor-in-Chief of IEEE Transactions on Communications from 2012 to 2019, demonstrates his commitment to advancing the field. His research group at UNSW focuses on developing innovative solutions for next-generation wireless communication systems, particularly in the areas of intelligent surfaces, integrated sensing and communication, and secure wireless transmission.
Gian Carlo Cardarilli is a researcher specializing in digital hardware design and machine learning acceleration. His work focuses on FPGA implementations, Residue Number System (RNS) architectures, and reconfigurable computing for applications in wireless communication, edge AI, and fault-tolerant systems. Key collaborations with institutions like IEEE and ACM through publications. Active in translating theoretical algorithms into practical hardware solutions for real-time systems. Research interests include: Optimizing deep learning models for heterogeneous platforms. Developing radiation-hardened memory systems. Creating energy-efficient signal processing architectures. Advancing reconfigurable functional units for embedded processors. His article analyses span fields like Quantum Cellular Automata , Variable Fractional Delay Filters , and RNS-Based Position Estimation , reflecting a trend toward adaptive, low-power, and domain-specific hardware.
Kapil R. Dandekar serves as the Interim Dean of Drexel Engineering and holds the E. Warren Colehower Chair Professorship in the Department of Electrical and Computer Engineering at Drexel University's College of Engineering. He has been a faculty member at Drexel since 2001, contributing significantly to education and research in wireless communications and engineering innovation. His educational background includes a PhD and MS in Electrical and Computer Engineering from the University of Texas at Austin (2001 and 1998, respectively) and a BS in Electrical Engineering from the University of Virginia (1997). PhD, Electrical and Computer Engineering, University of Texas at Austin, 2001 MS, Electrical and Computer Engineering, University of Texas at Austin, 1998 BS, Electrical Engineering, University of Virginia, 1997 Dandekar's research spans wireless communications, antennas, and engineering education with current emphases on reconfigurable intelligent surfaces (RIS), software-defined radio (SDR), functional fabrics, cybersecurity, and IoT applications. His work bridges theoretical innovation and practical implementation, particularly in healthcare-focused wireless sensing and wearable technologies. As an educator, he pioneered hands-on SDR laboratory classes with "Radio Wars" projects and co-founded the EPICS-in-IEEE international service-learning program. Analysis of his 15 most recent publications (2023-2025) reveals strong trends toward AI/ML integration in wireless systems, next-generation RIS applications for signal control, and healthcare-focused wireless sensing. His team increasingly combines millimeter-wave communications with machine learning for interference mitigation while advancing physical layer security and 6G modulation techniques through FPGA implementations. His scientific contributions have been recognized with prestigious awards: 2023: Fellow of the American Institute of Medical and Biological Engineering 2019: College of Engineering Outstanding Innovation Award 2016: Provost’s Award for Outstanding Mid-Career Scholarly Activity 2015: Drexel University College Outstanding Research Award 2013: President’s Award for Civic Engagement 2012: IEEE Meritorious Service Award 2007: Department Research Award Dandekar directs the Drexel Wireless Systems Lab (DWSL), securing major funding from NSF, Army CERDEC, NSA, ONR, FAA, DARPA, and industry partners. His educational leadership includes co-developing SDR curricula and leading Team Dragon Radio (with Dr. Geoffrey Mainland) to 8th place in the DARPA SC2 competition. DWSL's research has yielded commercialized intellectual property, particularly in RFID-based healthcare monitoring and reconfigurable antenna systems. The Drexel Wireless Systems Lab serves as the primary research hub, fostering cross-disciplinary collaborations with the College of Computing and Informatics. Recent projects include wearable DVT prevention devices, RF jamming mitigation systems using machine learning, and functional fabric-based wireless sensors, often developed through student teams competing in national challenges.
Prof Soon Xin Ng (Michael) is a Professor of Next Generation Communications at the University of Southampton , affiliated with the School of Electronics and Computer Science. His work bridges quantum communications, wireless technologies, and machine learning, with a focus on the theoretical and practical challenges of next-generation networks. Education: B.Eng. (First Class) in Electronic Engineering and Ph.D. in Telecommunications, both from the University of Southampton Current Roles: ECS Doctoral Programme Director since 2021, IEEE Quantum Communications & Information Technology Emerging Technical Subcommittee Officer Research Interests span quantum communications, channel coding/modulation, cooperative systems, and AI-driven wireless solutions. Recent projects include quantum key distribution over THz channels, UAV path planning with reinforcement learning, and MIMO-OFDM optimization. 2025: 3D spatial compression for UAV navigation 2025: OTFS modulation in quantum THz channels 2024: CV-QKD reconciliation and quantum internet evolution Scientific Awards include the 2013 Dean’s Award for publication excellence, IEEE Senior Membership, and Fellowships from the IET and Higher Education Academy. As an author of 260+ papers and co-editor of Quantum Engineering , he mentors eight active PhD students in electronic and engineering disciplines.
B.H.W. Hendriks is a Professor in the Department of Mechanical Engineering at Delft University of Technology, specializing in Medical Instruments & Bio-Inspired Technology. His research develops optical and signal processing solutions for medical applications, particularly in surgical environments and tissue analysis. His primary research domains include: Biomedical Engineering Optical Spectroscopy (Diffuse Reflectance) Medical Device Development Surgical Technology Cardiac Signal Processing Tissue Characterization Analysis of his 55+ publications reveals dual expertise: (1) Intraoperative optical sensing (e.g., fiber-optic tissue identification during spine surgery and electrosurgery), and (2) Advanced signal processing for cardiac diagnostics (atrial fibrillation mapping via electrograms/ECG). His work bridges mechanical engineering with clinical practice through real-time surgical workflow analysis and tissue-mimicking phantoms. Hendriks actively supervises research students and has generated 3 significant datasets for tissue characterization. His fingerprint shows dominant activity in spectroscopy (100%), surgery (93%), and tissue analysis (91%), with emerging work in human pose tracking for cardiac catheterization laboratories.
Professor Sangarapillai Lambotharan is a Professor of Digital Communications and Head of the Signal Processing and Networks Research Group at Loughborough University's Wolfson School of Mechanical, Electrical and Manufacturing Engineering. He holds qualifications including BEng, PhD, DIC, PGCAP, and is a Senior Member of IEEE, Fellow of IET, and Fellow of the Higher Education Academy. His research focuses on advanced wireless communication technologies such as Massive MIMO, Cognitive Radio Networks, and Smart Grids, alongside Machine Learning, Data Mining, and Cyber Security. He has authored over 200 publications in top-tier journals and conferences. His work integrates machine learning with signal processing to address challenges in adversarial attacks, federated learning, and network optimization. Recent research emphasizes intelligent reflecting surfaces (RIS), OTFS satellite communications, and federated learning defenses against model poisoning. Prof. Lambotharan's contributions span theory development, algorithm design, and practical implementations in 5G/6G systems, UAV networks, and edge computing environments. He leads collaborative projects on secure communications, distributed intelligence, and blockchain-based network security mechanisms. Prof. Lambotharan's academic leadership includes editorial roles at IET Signal Processing and teaching Digital Signal Processing and Information Theory. His lab explores cutting-edge topics like RIS-aided systems, anomaly detection in IoT, and context-aware caching strategies for heterogeneous networks. Key achievements include pioneering work on Kalman filtering for channel estimation and game-theoretic solutions for resource allocation in cognitive radio networks.
Yahong Rosa Zheng is a Professor in the Department of Electrical and Computer Engineering at Missouri University of Science and Technology. She holds a Ph.D. from Carleton University (2002), an M.S. from Tsinghua University (1989), and a B.E. from the University of Electronic Science and Technology of China (1987). Her research focuses on array signal processing, wireless communications, underwater acoustic networks, and cyber-physical systems. She has served as Technical Program Committee member for IEEE conferences like VTC, GlobeCom, and ICC, and held roles such as Tutorials co-chair for Globecom 2016 and ICC 2018. Recognitions include the NSF CAREER Award (2009) and IEEE Fellow (2015). Her work emphasizes underwater communication technologies, including MIMO systems, acoustic signal processing, and hardware implementations. Recent projects include FPGA-based acceleration for interference cancellation and MAC protocol design for underwater sensor networks. She also contributed to educational initiatives like the F1TENTH autonomous systems competition platform. Awards include the NSF Early-Career Award for innovative research in underwater networks and the IEEE Fellow distinction for contributions to signal processing and wireless communications. Her lab explores cutting-edge topics like OTFS modulation for mobile underwater acoustic communication, deep reinforcement learning for network optimization, and low-power magneto-inductive sensor networks.
Hen-Geul Yeh is an active professor and researcher with a distinguished career spanning nearly four decades in electrical engineering and communications systems. With publications dating from 1986 to the present (2025), Yeh has established expertise in wireless communications, signal processing, and power systems applications. Yeh's research interests encompass wireless communications, signal processing, MIMO systems, OFDM systems, intercarrier interference cancellation, smart grid applications, electric vehicle charging systems, and artificial intelligence applications in communications. The research demonstrates a consistent evolution from foundational signal processing work to contemporary applications in smart grid and 5G/6G communications. Recent publications (2023-2025) reveal a strong focus on practical applications including EV charging infrastructure, UAV communications, fault detection systems, and green communication technologies. The work shows increasing integration of machine learning techniques with traditional signal processing approaches, particularly reinforcement learning for dynamic system optimization. Yeh has established longstanding collaborations with researchers including Donald C. D. Chang, Joe Lee, and Yu Yang, resulting in numerous co-authored publications across IEEE journals and conferences. The research output demonstrates consistent productivity with multiple publications per year, including several in top-tier IEEE journals. Current research directions emphasize sustainable technologies, with significant work on photovoltaic integration, electric vehicle infrastructure, and energy-efficient communication systems that address contemporary challenges in power and communications infrastructure.
Dr. Lecturer İnci Umakoglu is an Assistant Professor at the Faculty of Engineering , Kütahya Dumlupınar University . She holds a PhD in Electrical-Electronics Engineering from the same university and has been a Research Assistant in multiple laboratories since 2015, including Analog & Digital Communications, Measurement & Circuit, and Logic Design. Her research focuses on Wireless Communication Systems (NOMA, OTFS modulation) Antenna Design for 5G and beyond UAV-assisted network architectures IoT device security protocols She has led and advised numerous student research projects in avionics, telemetry, and low-altitude defense systems under the TÜBİTAK 2209-A and Scientific Research Project (BAP) programs. Recent publications highlight her work in deep learning for signal detection , LoRa-based telemetry systems , and IoT security methods , with a strong emphasis on practical implementations in 5G and UAV technologies. She is an active member of IEEE and the Applied Computational Electromagnetics Society (ACES) .
Professor Jinhong Yuan is a distinguished academic serving as Professor of Telecommunications and Head of Telecommunications at the School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), Sydney, Australia. He received his B.E. and Ph.D. degrees in Electronics Engineering in 1991 and 1997, respectively. After serving as a Research Fellow at the University of Sydney from 1997 to 1999, he joined UNSW in 2000 where he has continued his academic career. Professor Yuan's extensive research portfolio spans multiple cutting-edge areas in telecommunications, with particular expertise in Mobile and Wireless Communications, Satellite Communications, Underwater Communications, and Integrated Communications and Sensing (ICAS). His work addresses critical challenges in IoT, Millimeter Waves, Information Theory and Error Control Coding, Turbo Coding and Iterative Processing, as well as Space-Time Coding, Processing and MIMO Techniques. His recent publications demonstrate significant contributions to Wideband CDMA, OFDM, and particularly to Orthogonal Time Frequency Space (OTFS) modulation systems which have emerged as promising technologies for 5G/6G communications and high-mobility scenarios. Analysis of Professor Yuan's recent publications reveals a strong trend toward addressing the challenges of high-mobility communications, particularly through OTFS modulation techniques. His work spans theoretical foundations in channel coding and information theory to practical implementations in satellite, underwater, and terrestrial wireless systems. The research demonstrates increasing integration of communications and sensing capabilities, reflecting the growing importance of Integrated Sensing and Communications (ISAC) in next-generation wireless networks. His publications consistently appear in top IEEE journals including IEEE Transactions on Communications and IEEE Transactions on Wireless Communications. Best Paper Award of IEEE Wireless Communications and Networking Conference (WCNC), Cancun, Mexico (2011) Best Paper Award of IEEE International Symposium on Wireless Communications Systems (ISWCS), Trondheim, Norway (2007) Four additional Best Paper Awards across various conferences One Best Poster Award Professor Yuan serves as the IEEE NSW Chair of the joint Communications/Signal Processing/Ocean Engineering Chapter and holds editorial positions as Associate Editor for both IEEE Transactions on Communications and IEEE Transactions on Wireless Communications. His research has resulted in over 300 journal and conference publications, two books, two book chapters, and 40 industrial reports. He is also a co-inventor of one patent on MIMO systems and two patents on low-density-parity-check (LDPC) codes, demonstrating the practical impact of his theoretical work.
Tommaso Foggi is an Assistant Professor in the Department of Engineering and Architecture at the University of Parma, Italy. He holds a Ph.D. in Information Technology and a Master’s in Telecommunication Engineering, both from the University of Parma. His academic career includes a research engineer role at the National Inter-University Consortium for Telecommunications (CNIT) from 2009 to 2018 before joining the university faculty in 2018. Ph.D. in Information Technology, University of Parma Master’s in Telecommunication Engineering, University of Parma His research focuses on electronic signal processing for optical and satellite communication systems, with expertise in adaptive equalization, coding, iterative decoding, optical channel impairment compensation, and channel estimation. He develops simulative software for communication systems and contributes to advancements in free space optical and non-terrestrial networks. His recent publications (2023–2024) reflect a strong trend in next-generation wireless and optical communications, particularly in non-terrestrial networks, LEO satellite diversity, coherent vs. IM/DD transmission, and timing synchronization for high-speed receivers. These works span disciplines in signal processing, information theory, and wireless systems, with a clear emphasis on 6G and satellite-integrated networks. He has received notable recognition, including the Best Paper Award at the Optical Networks and Systems Symposium, ICC 2008. He has been involved in research projects funded by MIUR, ESA, and industry partners like Huawei, Inmarsat, and Marconi-Ericsson. Best Paper Award, ICC 2008 He actively advises and contributes to academic projects, though specific students are not listed. His research is supported by national and international grants, particularly in satellite and optical communications. He teaches courses such as Digital Communications, Communication Fundamentals, and Probabilistic Methods for Engineering across undergraduate and graduate programs. While no formal lab or research group name is mentioned, his work is conducted within the Department of Engineering and Architecture at the University of Parma, likely in collaboration with CNIT and other research units focused on telecommunications and signal processing.
Tu Dac Ho is an Associate Professor at 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), a position he has held since 2023. Concurrently, he serves as Associate Professor at the Arctic University of Norway (UiT) since 2019. He holds MSc (2005) and PhD (2011) degrees in wireless communications from Waseda University, Japan. His professional background includes positions as Assistant Professor at Waseda University (2011-2012), Postdoctoral Fellow at NTNU (2012-2014), and Senior Researcher at SINTEF Norway (2014-2018). Dr. Ho's research develops communication protocols for autonomous vehicles, energy-constrained IoT networks, non-terrestrial network integration, and 6G systems including satellite-air-ground networks. His expertise spans: UAV/drone communications and network optimization Machine learning applications in wireless systems Satellite and maritime communications Visible light communication (VLC) for vehicular networks Energy harvesting for IoT devices His recent publications (2023-2025) demonstrate strong focus on 6G technologies, UAV communication systems, V2X security, visible light communication, and AI-driven network optimization. Research consistently addresses performance enhancement under real-world constraints including arctic conditions, mobility challenges, and security threats. Dr. Ho leads significant research initiatives including: Real-Time Remote Drone Control with 5G Video Streaming (PI, 3M NOK) Ambient Intelligence Infrastructure (Norway PI, 36M NOK) HE4T Energy Harvesting Solutions (Norway PI, 2.5M EUR) Participation in CubeSat and Student Satellite projects
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.
