جستجوی استاد راهنمای دانشگاهی

• Wireless Communications
• Signal Processing
• Physical Layer Security
• +۳ مورد دیگر

Georges Kaddoum is a Professor at École de technologie supérieure (ÉTS) , specializing in Electrical Engineering. He holds the Canada Research Chair in Unlocking the Power of IoT 6G-Networks and the LACIME – Communications and Microelectronic Integration Laboratory affiliation. His work bridges wireless communications, IoT, and machine learning. Research Interests include wireless communication systems, physical layer security, machine learning for networking, and 6G technologies. He focuses on optimizing network performance in challenging environments (impulsive noise, underwater, non-terrestrial networks) and developing AI-driven solutions for jamming mitigation, resource allocation, and secure IoT frameworks. Recent Publications highlight 6G-enabled vehicular networks, quantum-safe blockchain integration, federated learning for transportation systems, and deep learning-based receivers for chaotic communication systems. His work emphasizes semantic communication, interference management, and digital twin applications. Awards IEEE TCSC Award for Excellence in Scalable Computing (2022) Prix d’excellence de la relève (Université du Québec, 2018) Prix d’excellence en recherche (ÉTS, 2018) Multiple IEEE Exemplary Reviewer and Best Paper Awards (2014–2022) Supervision includes 15+ PhD/Master’s students working on topics like index modulation, physical layer security, UAV communications, and intelligent resource management. Research Units Ultra Research Chair on Intelligent Tactical Wireless Networks LACIME Laboratory Canada Research Chair in IoT 6G-Networks

• Photonics
• Telecommunications
• Electrical Engineering
• +۳ مورد دیگر

LUIS GONZALEZ GUERRERO is an Assistant Professor at the Universidad Carlos III de Madrid, specializing in photonics and telecommunications. His research focuses on integrated photonic circuits for millimeter-wave and terahertz (THz) communication systems, with applications in satellite payloads, wireless fronthaul/backhaul, and space technology. He leads projects in hybrid integrated optical platforms (e.g., InP-Si3N4), laser stability, and high-frequency signal generation. His work bridges photonics with electrical engineering to enable next-generation wireless systems. Research Interests: Dr. Gonzalez Guerrero’s expertise spans integrated photonics, microwave photonics, THz communication links, satellite communication systems, and photonic signal generation. His innovations include low-noise radiometers, optical injection locking for stable local oscillators, and high-purity mm-wave/THz signal transmission. His contributions address challenges in frequency stability, bandwidth efficiency, and phase noise mitigation in high-frequency systems. Publications: His recent work emphasizes hybrid photonic platforms, sub-THz wireless bridges, and phase noise mitigation techniques. Articles highlight advancements in optical signal processing, laser source integration, and applications in space communication. His research trends reflect a strong focus on translating laboratory prototypes into deployable systems for satellite and terrestrial networks. Affiliations: He is affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI), a research group at UC3M. His work is supported by grants focused on photonic integrated circuits and space communication technologies. He collaborates internationally on projects involving multicore fiber systems, coherent THz transmitters, and optical frequency comb applications.

Georgios B. Giannakisمشاهده پروفایل

استاد

• Data Science
• Power Systems
• Network Science
• +۷ مورد دیگر

Georgios B. Giannakis is a Full Professor, Endowed Chair, and Presidential Chair in the Department of Electrical and Computer Engineering at the University of Minnesota since 1999. He directs the Digital Technology Center and has held academic roles at the University of Virginia (1987-1999) and USC (1982-1986). His research spans Data Science, Wireless Communications, Network Science, and Statistical Signal Processing , with applications to IoT and power systems. Diploma in Electrical Engineering, NTUA (1981) MSc in Electrical Engineering, USC (1983) MSc in Mathematics, USC (1986) PhD in Electrical Engineering, USC (1986) His publications (470+ journals, 770+ conferences, 34 patents) focus on fading channel modeling, UWB localization, blind signal estimation, and cross-layer wireless design . Articles emphasize multicarrier systems, time-varying channels, and ultra-wideband communication , with citations exceeding 76,000 (H-index 145). Scientific Awards : EURASIP 'Athanasios Papoulis' Society Award (2020) IEEE Fourier Technical Field Award (2015) Gugliermo Marconi Prize Paper Award (2003) 9 Best Journal Paper Awards (IEEE/SPS & ComSoc) IEEE SPS Technical Achievement Award (2001) He has mentored over 50 PhD students and 25 postdocs, served IEEE as Distinguished Lecturer, and contributed to Greek university accreditation panels. His work bridges theoretical signal processing and practical communication systems .

• Large Antenna Array-Based Communications
• Wireless Propagation
• Vehicular Communications
• +۱ مورد دیگر

Liqin Ding is a Research Fellow at the Department of Electrical Engineering at Chalmers University of Technology . She holds a Marie Skłodowska-Curie Fellowship and is actively involved in EU-funded projects like VoiiComm and Hi-Drive , focusing on vehicular communication systems and cellular positioning integrity. Previously, she was a postdoctoral researcher at Harbin Institute of Technology (Shenzhen) and a visiting researcher at Chalmers before transitioning to her current MSCA-IF position. Research Interests : Her work spans large antenna array-based communication , wireless propagation , vehicular networks , and cellular positioning . Key themes include 5G/6G protocols , channel modeling , and information theory for automated transportation systems. She specializes in Massive MIMO , DFT spreading , and integrity monitoring to enhance network reliability. Scientific Contributions : Recent publications address challenges in PAPR reduction for IoT, 3D antenna array bandwidth , UAV swarm communication , and Bayesian positioning algorithms . Her work bridges theoretical models (e.g., Shannon capacity) with practical applications in automotive connectivity and spaceborne antennas . Awards and Grants : European Union's H2020-MSCA-IF-2019 fellowship for VoiiComm project Funding from the European Commission (EC) for mobility research

Visa Koivunenمشاهده پروفایل

استاد

• Statistical Signal Processing
• Wireless Communications
• Multisensor Systems
• +۴ مورد دیگر

Visa Koivunen is a Distinguished Professor of Signal Processing at Aalto University (since 1999), with positions as Academy Professor (2010) and Aalto Distinguished Professor (2020). He holds an honorary D.Sc. (Tech.) from the University of Oulu and has held visiting roles at Princeton University, the University of Pennsylvania, and EPFL. His research focuses on statistical signal processing, wireless communications, radar systems, and integrated sensing and communications (ISAC). He has published over 490 papers, including award-winning works, and advised 31 doctoral theses. Key roles include leadership in conferences (e.g., Asilomar 2018 General Chair) and technical committees (IEEE SPS). Recognitions include the EURASIP Technical Achievement Award (2015), IEEE Signal Processing Society Best Paper Awards (2007, 2017), and EURASIP Fellow status (2020). He co-chairs NATO panels on cognitive radars and ISAC. His research interests span signal processing fundamentals and applications in radar, communications, and machine learning. Recent work emphasizes ISAC, reinforcement learning for resource allocation, and causal inference in federated systems. He has pioneered waveform design techniques using GANs and Bayesian methods for spatial signal analysis. Educations: D.Sc. (Tech.) with honors from the University of Oulu (1994), Primus Doctor Award (1989-1994). Awards: IEEE Fellow, EURASIP Fellow, Member of Academia Europaea. Service: Associate Editor for IEEE Transactions, Chair of IEEE SPAWC and Asilomar conferences. His work bridges theory and practice, addressing challenges in radar-communication coexistence, energy-efficient edge computing, and secure distributed inference. He has delivered over 50 invited talks globally and actively contributes to NATO initiatives on cognitive radar systems.

• Signal Processing
• Engineering Education
• Frequency Domain Radars
• +۳ مورد دیگر

Lars Magne Lundheim is a Professor at the Department of Electronic Systems at Norwegian University of Science and Technology (NTNU). He holds an MSc and PhD in electrical engineering from NTNU. His career includes roles as Associate Professor (2002–2010), Research Scientist at SINTEF, and part-time academic positions. He belongs to the Signal Processing Group and focuses on signal processing for radar systems, power consumption optimization, and engineering education. His research spans technical domains like multicarrier communication systems and pedagogical innovations such as project-based learning and curriculum design. Notable contributions include work on sustainability integration in STEM education and competency development through active learning strategies. Lundheim is a Senior Member of IEEE and has reviewed for major journals/conferences including IEEE Transactions on Signal Processing. Recent publications emphasize educational frameworks linking mathematics with engineering practice, while earlier works address technical challenges in radar distortion correction and power-efficient multiplier design. He has contributed to 16 PhD examination committees and teaches courses like TTT4270 (Electronic System Design) and TTT4260 (Electronic System Design and Analysis). Lundheim’s outreach includes presenting at events like the Læringsfestivalen and collaborating on national initiatives like the 'Fremtidens teknologistudier' educational strategy report. His interdisciplinary work bridges technical innovation with pedagogical excellence in electrical engineering education.

Liam Barryمشاهده پروفایل

استاد

• All-Optical Signal Processing
• Optical Pulse Generation and Characterization
• Hybrid Radio/Fibre Communication Systems
• +۵ مورد دیگر

Prof. Liam Barry is a Professor in the School of Electronic Engineering at Dublin City University (DCU), where he also serves as Director of the Radio and Optical Communications Laboratory. He holds a PhD from the University of Rennes, France, and has held research and academic roles at institutions including France Telecom’s Orange Labs and Auckland University, New Zealand. His expertise spans optical communications, signal processing, and optoelectronics. Key roles include ECOC 2019 Co-Chair and SFI Principal Investigator. He has published over 600 articles, holds 10 patents, and supervised 37 graduate students. Education: BE (Electronic Engineering) – University College Dublin (1991) MEngSc (Optical Communications) – University College Dublin (1993) PhD – University of Rennes, France (1996) Research Interests: All-optical signal processing Optical pulse generation and characterization Hybrid radio/fibre communication systems Wavelength-tunable lasers for reconfigurable networks Optical performance monitoring Optical frequency combs Funding & Awards: €20M Irish Photonic Integration Centre (IPIC) SFI Programme (2013–2025) Member of Royal Irish Academy (2019) Irish Research Council Board Member (2019) Over €70M in research grants secured across 60+ projects Labs & Teams: Director of the Radio and Optical Communications Laboratory, part of The Rince Institute (2006–2010). Collaborates with industry partners like Tyndall Institute, Eblana Photonics, and ESA. Grants & Contributions: Lead on projects like OPTICOMB, BIGPIPES, and TOPCAT Co-Chair of ECOC 2019

• Optical Communications
• Quantum Cryptography
• Fiber Optic Sensing
• +۵ مورد دیگر

Nikas Thomas is an External Instructor at the Department of Informatics (DI) of the National and Kapodistrian University of Athens (NKUA). His work spans multiple interdisciplinary areas including quantum cryptography, fiber optic sensing technologies, and seismic monitoring. Key roles include advancing secure communication protocols through quantum key distribution (QKD) and developing novel Li-Fi transceivers using perovskite photodiodes. He also pioneers applications of Distributed Acoustic Sensing (DAS) for urban earthquake monitoring in Athens, leveraging existing fiber-optic infrastructure for environmental and geophysical studies. His research bridges theoretical frameworks (e.g., phase transmission analysis) with practical implementations in optical communication systems and seismic detection. Research interests focus on: Secure optical communication systems leveraging quantum principles Fiber optic-based seismic and acoustic sensing Emerging Li-Fi technologies for high-speed wireless networks Phase-sensitive fiber optic analysis for geophysical applications Publications from 2022-2024 highlight trends in: Quantum security protocols for optical and radio-over-fiber systems Urban DAS applications for earthquake monitoring Microwave frequency interferometry for low-cost seismic sensors No scientific awards are explicitly listed in the provided materials. His work often involves collaborative projects with industry and academic partners, though specific grants are not detailed here. Current projects include optimizing DAS for real-time urban seismic networks and exploring novel modulation formats for secure optical transmission.

Xiaoli Maمشاهده پروفایل

استاد

• Signal Processing
• Wireless Communications
• MIMO Systems
• +۲ مورد دیگر

Dr. Xiaoli Ma is Professor at Georgia Tech's School of Electrical and Computer Engineering, specializing in signal processing for communication systems. Her research spans channel estimation, MIMO systems, and adaptive modulation techniques. Distinctions: Sloan Research Fellowship (2017) IEEE Signal Processing Society Best Paper Award (2015) NSF CAREER Award (2014) Research Areas: Signal estimation algorithms, coding theory, wireless networks, and machine learning applications in communications.

Kenny Barleeمشاهده پروفایل

پژوهشگر ارشد

• Software Defined Radio
• Dynamic Spectrum Access
• Digital Signal Processing
• +۱۰ مورد دیگر

Kenny Barlee is a Research Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde, where he conducts research in the Software Defined Radio Laboratory. His work is centered on software-defined radio, cognitive radio, dynamic spectrum access, and rural 5G network deployment. He played a key role in the 5G RuralFirst project, contributing to the development of one of the UK’s first rural 5G networks in Orkney, Shropshire, and Somerset. PhD in Electronic and Electrical Engineering, University of Strathclyde (2020) BEng (Hons) in Electrical and Electronic Engineering, University of Strathclyde (2014) His research focuses on enabling affordable mobile connectivity in rural areas through shared and licensed spectrum, neutral hosting, and SDR technologies. He has developed cognitive radios using MATLAB and Simulink deployed on ZynqSDR devices, with applications in secondary user access to the FM radio band. His work in 5G RuralFirst involved full-stack network design, from SIM cards to core networks, including RF planning, basestation programming, and bespoke security solutions. The recent publications highlight advancements in private 5G for broadcast, low-latency wireless production, and SDR system control on RFSoC platforms. These works reflect a strong trend toward practical, deployable solutions in broadcast engineering, rural connectivity, and FPGA-based SDR prototyping. Kenny Barlee has co-authored a free 670-page SDR textbook, Software Defined Radio using MATLAB & Simulink and the RTL-SDR , and has contributed to multiple peer-reviewed journals and conferences. His industrial experience includes an internship at MathWorks and teaching SDR courses at UCLA. He leads the development of innovative systems such as the "PiFi" modem kits for drones and tour buses and a portable popup 5G network trailer for RF trials. His work supports UN Sustainable Development Goals, particularly in education and infrastructure development.

• Wireless Communication
• High Frequency (HF) Radio Systems
• Internet of Things (IoT)
• +۳ مورد دیگر

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.

Youngwook Koمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Wireless Communications
• Signal Processing
• +۳ مورد دیگر

Dr. Youngwook Ko is a Senior Lecturer in the Department of Electronic Engineering at the University of York. He holds a B.S.E. from Hannam University (South Korea), an M.Sc. from Arizona State University (USA), and a Ph.D. in Electrical Engineering from Arizona State University. His research focuses on applying machine learning and signal processing to wireless communications, including multi-dimensional index modulation, NOMA-ALOHA systems, and reinforcement learning-driven networks. Dr. Ko has authored/co-authored over 50 publications in top-tier IEEE journals and conferences. Educational Background Bachelor of Science in Information and Communications Engineering, Hannam University, South Korea Master of Science in Electrical Engineering, Arizona State University, USA Ph.D. in Electrical Engineering, Arizona State University, USA Research Interests Dr. Ko's work centers on machine learning and signal processing for advanced wireless systems. Key areas include: Machine learning for 6G communications NOMA-ALOHA systems and reinforcement learning applications Multi-dimensional index modulation (IM) techniques Edge computing and network autonomy Awards & Grants Recipient of the EPSRC First Grant Award and member of the EPSRC Peer Review College. His editorial roles include the IEEE Open Journal of Vehicular Technology and Elsevier Journal on Physical Communications. Grants & Collaborations EPSRC-funded project on smart farm radio technology International collaborations in 6G NTN, reinforcement learning, and digital twins Labs & Teams Conducts research within the Department of Electronic Engineering, focusing on next-generation wireless systems and AI-driven communication technologies.

Christos Masourosمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Green Communications
• +۵ مورد دیگر

Christos Masouros is a Professor of Signal Processing and Wireless Communications at University College London (UCL), affiliated with the Institute for Communications and Connected Systems. He holds a Ph.D. from the University of Manchester (2009) and has held research positions at Philips Research Labs, Queen’s University Belfast, and UCL. His expertise spans wireless communications, signal processing, and integrated sensing and communications (ISAC). Key roles include coordinating the EU-funded PAINLESS (2018–2022) and ISLANDS (2024–2028) projects, which focus on energy-autonomous networks and next-generation vehicular networks, respectively. Education: Diploma in Electrical and Computer Engineering, University of Patras (2004) MSc by Research, University of Manchester (2006) PhD in Electrical and Electronic Engineering, University of Manchester (2009) Research Interests: Green Communications Large-Scale Antenna Systems ISAC (Integrated Sensing and Communications) Interference Mitigation in MIMO and Multicarrier Systems Awards: 2024 IEEE SPS Best Paper Award 2023 IEEE ComSoc Stephen O. Rice Prize Fellow of IEEE, AIIA, and AAIA Leadership Roles: Vice-Chair, IEEE Emerging Technologies Initiative on ISAC Chair, IEEE SPS ISAC Technical Working Group Editorial roles in IEEE Transactions on Wireless Communications, IEEE Open Journal of the Communications Society, and others Labs/Teams: Active in UCL’s Information and Communication Engineering Research Group, contributing to standards development via IEEE and ETSI working groups.

Richard K. Martinمشاهده پروفایل

استاد

• Radio Tomographic Imaging
• Laser Radar (LADAR)
• Signal Processing
• +۷ مورد دیگر

Richard K. Martin is a Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson Air Force Base, OH. He has been a faculty member since 2004 and holds a Ph.D. in Electrical and Computer Engineering from Cornell University. Education: Ph.D., Electrical and Computer Engineering, Cornell University, 2004 M.S., Electrical and Computer Engineering, Cornell University, 2001 B.S., Electrical Engineering, University of Maryland, 1999 (Summa Cum Laude) B.S., Physics, University of Maryland, 1999 (Summa Cum Laude) His research focuses on radio tomographic imaging, laser radar (LADAR), signal processing, and engineering education . He has made significant contributions to channel equalization, wireless localization, and polarimetric LiDAR systems. His work bridges theoretical signal processing with practical defense and sensing applications. The recent articles highlight a strong trend in optical remote sensing, spectropolarimetry, and advanced signal processing for defense and surveillance. His work increasingly integrates machine learning, sensor fusion, and real-time imaging under atmospheric distortions. Scientific Awards: 2013 Air Force Outstanding Science and Engineering Educator Award Eta Kappa Nu Instructor of the Year (twice) Instructor of the Quarter (three times) Dr. Martin has led numerous student research initiatives, including the COEUR program to enrich undergraduate research. He has secured research funding in areas such as RF sensing, LADAR, and wireless security. He holds eight patents and has published extensively in IEEE journals and conferences. He leads research in the development of rapid Mueller matrix polarimeters, spectropolarimetric LADAR, and radio tomographic imaging systems , often in collaboration with students and defense labs.

Robert Fischerمشاهده پروفایل

استاد

• Precoding and Signal Shaping
• Equalization Algorithms
• OFDM Transmission Systems
• +۷ مورد دیگر

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.