Dr. Dan Raphaeli is a faculty member at the School of Electrical Engineering within the Iby and Aladar Fleischman Faculty of Engineering at Tel Aviv University. His research focuses on advanced communication systems and signal processing techniques. Trellis Coded Modulation Decoding algorithms and Turbo codes Maximum likelihood equalization analysis Noncoherent detection methods for coded modulation Carrier tracking in mobile communications Multipath fading mitigation Spread spectrum systems and Multiuser CDMA OFDM receiver design Contact: daniraf@tauex.tau.ac.il
Omid Habibpour is an Assistant Professor at the Microwave Electronics lab within Chalmers University of Technology. His research focuses on graphene-based devices and MMICs for high-frequency applications. B.Sc.: Electrical Engineering (Telecommunication Systems), Sharif University of Technology (2002) M.Sc.: Optical Telecommunication Systems (with honors), Amirkabir University of Technology (2004) His research spans Graphene Electronics , Microwave Engineering , and Terahertz Technology , emphasizing material characterization, device modeling, and MMIC design for high-data-rate communication systems. Recent work includes voltage-dependent mobility studies and zero transconductance resistance analysis in graphene FETs. Projects include the Graphene Core Project 3 (European Commission) and Quad Band Infrared Detector (VINNOVA). Publications trend toward graphene integration in microwave/THz systems and SiC substrate applications.
Iain Collings is a Professor in the School of Engineering at Macquarie University, Sydney, Australia since 2014. He previously held roles as Head of Department and Deputy Dean of School. With a PhD in Systems Engineering from the Australian National University (1995), he spent nine years at CSIRO in leadership roles such as Deputy Chief of Division and Theme Leader, followed by academic positions at the Universities of Melbourne and Sydney. His research focuses on wireless communications, including MIMO systems, satellite communications, and millimeter-wave technologies. He has published over 350 papers and co-founded the Australian Communications Theory Workshop (AusCTW). Awards include the Engineers Australia Neville Thiele Award (2009), IEEE Stephen O. Rice Award (2011), and multiple teaching excellence awards. Education: PhD in Systems Engineering, Australian National University (1995) Previous academic and research roles at CSIRO, University of Melbourne, and University of Sydney Research Interests: Pioneering contributions to adaptive multiple-user and antenna systems in wireless communications, including MIMO, satellite networks, IoT, UAV communications, and RFID technologies. His work bridges fundamental research, prototype development, and education through channels with over 80,000 YouTube subscribers. Recent Projects: DP23: Enabling wide-area mm-wave mobile broadband networks (2023–2025) LP20: Scaling Up Satellite Communications for IoT (2021–2024) Advanced Satellite Communications for High-Rate Service Delivery (2020) Publications: Over 350 papers, with recent focuses on UAV-based IoT data collection, satellite IoT feasibility, and mm-wave beamforming. His YouTube channel provides educational content viewed over 7 million times. Awards and Roles: Fellow of IEEE Member of Australian Academy of Science's National Committee for Information and Communication Sciences Associate Editor for Sensors and IEEE Transactions on Wireless Communications
Balu Santhanam is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico. He is affiliated with the Signal Processing and Communications research groups. His academic journey includes a PhD from Georgia Institute of Technology (1998), an MS from Georgia Tech (1994), and a BS from Saint Louis University (1992). Research interests span signal representations, ICA-SVM hybrid systems, discrete fractional Fourier analysis, and applications in SAR vibrometry. He has received notable awards, including the ECE Distinguished Teacher Award (2000, 2005) and the Lawton Ellis Award (2012). His work includes 3 U.S. patents related to signal processing and SAR imagery. Teaching focuses on digital signal processing, probability theory, and multirate systems. His research emphasizes chirp parameter estimation, SAR-based vibration detection, and robust communication systems. Key contributions include advancements in DFRFT applications and clutter suppression techniques. Education: PhD (Georgia Tech, 1998), MS (Georgia Tech, 1994), BS (Saint Louis University, 1992) Labs/Teams: Signal Processing Group, Communications Research Team
Thomas D. C. Little is a Professor at Boston University, USA, specializing in Visible Light Communication (VLC), Optical Wireless Communication, and Mobile Ad Hoc Networks. His research focuses on hybrid RF/VLC systems, interference mitigation, and dynamic network optimization under illumination constraints. Recent work includes 3D localization via zone-based positioning Dynamic FOV receiver optimization Multi-tier transmission for 5G Li-Fi Security-aware OFDM modulation Research interests center on integrating optical wireless with traditional RF networks, developing energy-efficient communication protocols, and creating positioning systems for smart spaces. Publications analyze spectral efficiency, channel modeling, and coexistence strategies in dense optical environments. Collaborations span institutions in the USA and Germany, with applications in Industry 4.0 and coastal monitoring systems. His team has contributed to ns-3 simulator extensions for VLC, beam control in FSO systems, and interference analysis in optical networks. Current projects address reconciling SNR models and optimizing handover parameters via Q-learning for heterogeneous deployments.
Dr. Sherif Moussa is a Professor and Dean at the Faculty of Engineering, Applied Science and Technology, Canadian University Dubai. He holds a PhD in Electrical and Computer Engineering from the University of Quebec and an MSc from the University of Waterloo, both in Canada. Before joining CUD in 2007, he served as a lecturer at Centennial College in Toronto. His research focuses on: Wireless Communication Computer Networks Machine Learning Digital Circuit Design His recent publications explore machine learning applications in cybersecurity, MIMO-OFDM systems, FPGA implementations, and routing protocols, reflecting a consistent emphasis on optimizing wireless and network technologies. Trends show increasing work in AI-driven solutions and intrusion detection since 2018. He received the 2015 CUD Research Excellence Award and founded the university's first robotics club. He actively contributes as a reviewer and technical committee member for international conferences.
Zhongyuan Zhao is a Research Assistant Professor at Rice University's Department of Electrical and Computer Engineering, affiliated with the George R. Brown School of Engineering. He holds a Ph.D. in Computer Engineering from the University of Nebraska-Lincoln and completed his postdoctoral studies at Rice under Prof. Santiago Segarra. His research integrates graph-based neuro-symbolic approaches with domain-specific models to address challenges in wireless communications, edge computing, and networked systems. Dr. Zhao has over a decade of industry experience in 4G base-station development at Ericsson and ArrayComm, followed by academic research roles focusing on distributed algorithms and machine learning applications. His education includes a B.Sc. and M.S. in Electronic Engineering from the University of Electronic Science and Technology of China, where he also worked as a teaching assistant for national design contests. He earned a minor in Finance (15 credits) during his Ph.D. and is completing the CFA Level III program in 2024. Zhao has contributed to large-scale wireless testbeds like NEXTT and authored/co-authored 25+ peer-reviewed publications, 2 patents, and delivered academic service roles including conference session chair and journal reviewer. Research interests span autonomous networking, graph-based machine learning, stochastic optimization, and their applications in infrastructureless wireless systems. His work emphasizes distributed solutions for resource allocation, scheduling, and edge intelligence. Awards include the Future Faculty Fellowship (2023) and IEEE travel grants. He has mentored over 40 students through research internships, hackathons, and undergraduate projects, showcasing his commitment to education. Recent projects focus on scalable computation offloading, generalized backpressure routing in tactical networks, and neuro-symbolic AI frameworks for networked systems. His lab work involves open-source contributions to tools like the Actor-Twin Framework and SelR algorithm, promoting reproducibility and collaboration in the field.
Hefeng Dong is a Professor in Acoustic Remote Sensing at the Department of Electronic Systems (IES) at NTNU since 2002. She leads the Acoustics Group and focuses on underwater acoustics, geoacoustic modeling, and marine environmental impact studies. Her research integrates signal processing, seismic inversion, and distributed sensing technologies. Education: BSc/MSc in Physics (Northeast Normal University, 1983/1986), PhD in Geoacoustics (Jilin University, 1994). She held positions at SINTEF Petroleum and conducted research visits at the University of Victoria (2008–2009) and University of Delaware (2014–2015). She is a member of IEEE and the Acoustical Society of America. Research interests span underwater acoustic communication, fiber-optic sensing for geophysics, and environmental monitoring. Recent work includes advancements in distributed acoustic sensing (DAS) for seabed monitoring and underwater localization using vector sensors. Her publications emphasize machine learning applications in geophysical data analysis and signal processing. Notable contributions include studies on shear wave velocity estimation via deep learning and the development of underwater communication protocols using fiber-optic cables. She has also explored the environmental impact of low-frequency sound on marine life, integrating acoustic measurements with ecological studies. Grants and collaborations include projects on quick clay monitoring and geophysical sensing technologies for energy applications. Her academic outreach includes hands-on acoustics training courses at NTNU and international conference participation.
Vlad-Costin Andrei is a Researcher at the Chair of Theoretical Information Technology , Technical University of Munich (TUM), specializing in wireless communication systems and digital twinning. He joined the ACES Lab (TUM's Chair of Theoretical Information Technology) in late 2021 after 3.5 years in the aerospace and defense industry. Research Focus: Joint Communications and Sensing (6G), Neuromorphic PHY Layer, Digital Twins, MIMO-OFDM Resilience Projects: 6G-life, 6G Future Lab Affiliation: ACES Lab, TUM His work bridges theoretical foundations with practical implementations, including demonstrations of digital twinning platforms and sensing-assisted receivers. Recent publications emphasize anti-jamming frameworks, federated learning over wireless networks, and trajectory optimization for UAV-enabled ISAC systems. Scientific Awards: Best Paper Award, IEEE Symposium on Joint Communications and Sensing (2023) His research is supported by third-party grants such as BMBF's 6G-life, DFG's Gottfried Wilhelm Leibniz Prize, and multiple collaborative projects.
Prof. Dr.-Ing. Robert Fischer has been a full professor for Communications and Signal Theory at the University of Ulm, Germany, since 2011. He specializes in fast digital transmission techniques, including single- and multicarrier modulation, with a focus on precoding and shaping methods for high-rate systems. Research Interests: His work spans Precoding and Signal Shaping , Equalization Algorithms , OFDM Transmission Systems , Low-Complexity Receivers , MIMO and Multiuser Communications , Ultra-Wideband , Information Theory , Channel Coding , Physical-Layer Security , and Compressed Sensing . Recent publications emphasize applications in THz communication, MIMO systems, and compressed sensing. Scientific Recognition: He has received multiple awards, including the Promotionspreis der Technischen Fakultät (1997) Literaturpreis der ITG (2000) Wolfgang-Finkelnburg-Habilitationspreis (2002) Philipp-Reis-Preis (2005) Christian Doppler Laboratory Industrial Award (2007) Best Paper Award at International OFDM Workshop (2012) Teaching: At Ulm University, he teaches Signals and Systems , Communications Engineering , and MIMO Systems . Previously, he taught courses like Kanalcodierung (Channel Coding) at University Erlangen (1998–2010) and short courses at ETH Zürich and TU Berlin.
Mohamad Mroue is affiliated with the Laboratory at the Electrical and Electronic Engineering of Paris, focusing on cutting-edge research in Embedded Systems, FPGA, Electronics, IoT, and Wireless Communications. His work emphasizes FPGA-based solutions for power optimization, reconfigurable wireless systems, and low-power wide-area networks (LPWANs). He has contributed to advancements in partial reconfiguration techniques, machine learning integration for hardware monitoring, and secure mobility management protocols for IoT devices. His research spans multiple domains including UWB transceiver design, PAPR reduction in DVB-T2 systems, and innovative sensor networks. Collaborations with colleagues like Jean-Christophe Prevotet and Fabienne Nouvel highlight his interdisciplinary approach to solving complex engineering challenges. Mroue’s publications reflect a strong emphasis on practical implementations and real-world applications of embedded and wireless technologies. Key technical contributions include an ARM-FPGA platform for adaptive wireless communication, automated data generation systems, and energy-efficient solutions for IoT mobility. His work bridges theoretical research with hands-on prototyping, often leveraging FPGA capabilities for high-performance and flexible systems.
Keivan Navaie is a Professor of Intelligent Networks at Lancaster University’s School of Computing and Communications. He serves as a member of the Independent Scientific Advisory Committee at the Alan Turing Institute, overseeing the £100 million BridgeAI programme, and previously as Principal AI Technology Advisor to the UK Information Commissioner’s Office (ICO). He is recognized with Fellowships from the Institution of Engineering and Technology (IET), Chartered Engineer status in the UK, Senior Fellowship of the Higher Education Academy (HEA), and the IEEE Young Investigator Award. Research Focus: Wireless communications, mathematics, artificial intelligence, 6G networks, blockchain technology, edge computing, cognitive radio networks, and non-orthogonal multiple access (NOMA). Supervision: Actively supervises PhD students in areas like wireless communications and mathematical modeling. Projects: Involved in distributed learning, blockchain integration, 6G research, and spectrum sharing systems. Awards: IEEE Young Investigator Award, Fellow of IET, Chartered Engineer, Senior Fellow of HEA.
Costas N. Georghiades is a Professor and Delbert A. Whitaker Chair in the Department of Electrical & Computer Engineering at Texas A&M University. He has held leadership roles including Interim Vice President for Research, Interim Department Head, and Associate Dean for Research in the College of Engineering. His research focuses on statistical communication theory, wireless communication systems, and receiver design. Education: D.Sc., Electrical Engineering, Washington University (1985) M.S., Electrical Engineering, Washington University (1983) B.E., Electrical Engineering, American University of Beirut (1980) Research Interests: His work spans fading channels, space-time coding, distributed source coding, interference rejection techniques, and optical communication systems . He emphasizes applications of information theory to practical communication challenges, including synchronization and equalization in wireless environments. Publications & Trends: Recent articles address advanced topics like faster-than-Nyquist signaling, unsourced random access in MIMO systems, and visible light communication design. His work often bridges theoretical insights with practical implementation challenges in wireless and optical domains. Awards & Recognition: IEEE Fellow (2002) 2012 IEEE Communication Theory Technical Committee Service Award Multiple endowed professorships including the Delbert A. Whitaker Chair Advising & Grants: He has advised over 50 graduate students, many contributing to foundational research in CDMA systems, MIMO detection, and network coding. His grants include support for projects on cognitive radio, OFDM systems, and secure communication protocols. Labs & Collaborations: Active in Texas A&M's Global Cyber Research Institute (GCRI) and affiliated with the Multidisciplinary Engineering program. Collaborates on initiatives like the IEEE Information Theory Society and Hamming Medal Committee.
Xuefu Zhou is an Associate Professor in the Department of Electrical Engineering at the University of Cincinnati, where he joined as an Assistant Professor in 2005 and was promoted in 2010. He holds an M.S. and Ph.D. in Electrical Engineering from the same university. Prior to academia, he worked in industry from 1995 to 2000 as an R&D Engineer, Senior Engineer, and Project Manager, specializing in distributed computer control systems and real-time embedded systems. His research interests span Deep Learning, Wireless Communications, IoT, Biomedical Signal Processing (e.g., ECG analysis), and Non-Destructive Evaluation. He directs the Wireless and Mobile Communication Lab (WMCL) and oversees the Master of Engineering (MENG) Graduate Program. Zhou has received notable awards including the 2011 and 2012 William E. Restemeyer Teaching Excellence Award, and the 2013 and 2018 CEAS Master Educator Award. He is a Senior Member of IEEE. He has led or collaborated on grants totaling over $1M, focusing on topics like ECG screening for cardiomyopathy, smart transportation systems, and edge AI classifiers. Recent projects include collaborations with Procter & Gamble, Medical Interface Solutions, and the Federal Highway Administration.
Joan Lluís Pijoan is an active researcher in wireless communication systems, with a focus on high frequency (HF) radio transmission, antenna design, and IoT architectures. He has co-authored numerous publications in journals such as IEEE Access, Sensors, and Remote Sensing, primarily investigating technical challenges in long-haul HF links, NVIS communication, and heterogeneous wireless networks. His research spans applications in Antarctic geophysical observatories IoT for natural disaster monitoring Advanced modulation schemes Signal processing for remote sensing Recent work highlights his expertise in antenna booster design (2023), multicarrier modulation (2020), and ionospheric channel analysis (2015). While specific university affiliations or departmental roles remain unspecified, his 15 most recent articles demonstrate sustained contributions to wireless systems since 2004.
