Find Academic Supervisors

Dimitra PsychogiouView profile

Professor

• Microwave Engineering
• RF Filters
• Millimeter-wave Technology
• +4 more

Dimitra Psychogiou is a Full Professor of Microwave Engineering at University College Cork and Principal Investigator at Tyndall National Institute's CONNECT Centre in Cork, Ireland. She leads the Advanced RF Technology Group, driving innovation in reconfigurable RF systems for next-generation wireless networks. Her academic credentials include: Dipl.-Eng. in Electrical and Computer Engineering, University of Patras (2008) Ph.D. in Electrical Engineering, ETH Zurich (2013) Prof. Psychogiou's research pioneers reconfigurable microwave filters , non-reciprocal RF components , and additive manufacturing for antenna systems . Her work bridges theoretical microwave engineering with practical implementations in 5G/6G front-ends, emphasizing sustainability through hyperflexible filtering architectures that reduce hardware complexity and energy consumption. Key innovations include acoustic-wave resonator filters and 3D-printed RF components enabling unprecedented miniaturization. Analysis of her 2022-2025 publications reveals a strategic shift toward multifunctional RF integration , where filtering coexists with isolation, amplification, and switching in single modules. This trend addresses critical industry needs for compact, software-defined radio front-ends in satellite communications and IoT networks, with increasing emphasis on reflectionless topologies and spatiotemporal modulation techniques. Her scientific recognition includes: 2023 MTT-S Outstanding Young Engineer Award 2021 Roberto Sorrentino Prize 2021 SFI Research Professorship 2020 NSF CAREER Award 2020 URSI Young Scientist Award UC Boulder Junior Faculty Research Award Prof. Psychogiou actively shapes her field through leadership roles as Chair of IEEE MTT-13 Committee and Secretary of USNC-URSI Commission D, while serving as Associate Editor for IEEE MWCL and IJMWT. Her group collaborates extensively with semiconductor foundries and wireless infrastructure companies to transition lab innovations to commercial applications. The Advanced RF Technology Group operates state-of-the-art facilities for GaAs MMIC prototyping, 3D-printed RF component fabrication, and full-wave electromagnetic characterization, supporting Ireland's strategic position in European telecommunications research.

• Medical Microwave Imaging
• Microwave Engineering
• Millimeter-wave Engineering
• +3 more

Professor Amin Abbosh is a faculty member at the School of Electrical Engineering and Computer Science, University of Queensland. His research focuses on Medical Microwave Imaging and Millimeter-wave Engineering, with contributions to advanced imaging systems, antenna design, and communication technologies. He leads projects in electromagnetic medical sensing, including portable brain scanners and wearable diagnostic systems. His work integrates applied electromagnetics with AI-driven algorithms, addressing challenges in stroke detection, liver health monitoring, and deep vein thrombosis diagnosis. With over 16 patents and collaborations across biomedical and engineering domains, his research bridges clinical needs with cutting-edge electromagnetic techniques. Key projects include the development of low-cost healthcare monitoring systems and reconfigurable antennas for satellite communications. Research interests span medical imaging systems, antenna array design, and signal processing for healthcare applications. His team innovates in areas like phased arrays, dielectric property analysis, and non-invasive diagnostics. Recent advancements include synthetic microwave focusing techniques and self-supervised deep learning models for clutter removal in imaging. Publications highlight contributions in IEEE journals and conferences, emphasizing clinical applications and device prototyping. Collaborations with institutions like the University of Queensland’s medical faculty and industry partners ensure practical implementation of his research.

Renjie ZhaoView profile

Assistant Professor

• Wireless Networking
• Mobile Computing
• 5G/6G Technologies
• +8 more

Renjie Zhao is an Assistant Professor in the Department of Computer Science at Johns Hopkins University and a member of the Data Science and AI Institute. His research focuses on wireless networking and mobile computing, with significant contributions to millimeter-wave communications, software-defined radio, and IoT systems. Dr. Zhao received his B.E. in Electric Power Engineering and Automation from Shanghai Jiao Tong University in 2018, followed by an M.S. (2020) and Ph.D. (2023) in Electrical and Computer Engineering from the University of California San Diego, where he was advised by Professor Xinyu Zhang. His research centers around three main areas: next-generation wireless network architectures (5G millimeter wave, 6G joint communication and sensing, Internet of Things), novel radio hardware and software design (software-defined radio, wireless brain interfaces, low-power ultra-wide-band), and ubiquitous communication and sensing systems (smart homes, virtual/augmented reality, localization, ultra-reliable RFID for supply chains). His work bridges theoretical innovation with practical implementation, often resulting in open-source hardware and software platforms that advance the field. Dr. Zhao's research has been published in top conferences including ACM SIGCOMM, MobiCom, and NSDI. His work demonstrates a clear progression from foundational wireless communication systems to increasingly sophisticated sensing and localization applications, with consistent focus on practical deployment challenges and solutions. Scientific Awards: Best Paper Award at ACM MobiCom 2020 for work on massive MIMO millimeter-wave software radio Best Paper Award at ACM SenSys 2023 for NeuroRadar paper Hopkins AITC funding for AI technologies promoting healthy aging Dr. Zhao actively serves the research community as TPC member for major conferences including MobiCom'25, NSDI'25, and MobiSys'25, and as a reviewer for leading journals. He is involved in multiple NSF-funded projects, including an NSF CIRC project developing the next-stage M-Cube platform. His lab, focused on wireless systems, maintains strong industry connections with companies like Qualcomm and Samsung. Dr. Zhao leads the M-Cube project, an open-source millimeter-wave massive MIMO software radio platform that has been adopted by numerous research institutions worldwide. His team continues to develop innovative wireless technologies with practical applications in supply chain management, healthcare, and smart environments.

Penina AxelradView profile

Professor

• Astrodynamics
• Satellite Navigation
• Global Navigation Satellite Systems (GNSS)
• +5 more

Dr. Penina Axelrad is a University of Colorado Distinguished Professor and Joseph T. Negler Professor of Aerospace Engineering Sciences at the University of Colorado Boulder. She has held academic roles since 1992, serving as Department Chair from 2012–2017. A member of the National Academy of Engineering since 2019, her research focuses on GNSS technology, satellite navigation, and remote sensing applications. She has authored over 223 publications and secured $17.5M in research grants. Education: Ph.D., Aeronautics and Astronautics, Stanford University, 1991 S.M., Aeronautical and Astronautical Engineering, MIT, 1986 S.B., Aeronautical Engineering (Avionics Option), MIT, 1985 Research Interests: Global Navigation Satellite Systems (GNSS), multipath mitigation, GNSS reflectometry, orbital dynamics, and quantum sensing for Earth science. Her work bridges astrodynamics, satellite navigation, and environmental monitoring. Awards: Member, National Academy of Engineering (2019) Women In Aerospace Educator Award (2016) Institute of Navigation Samuel Burka Award (2012) AIAA Summerfield Book Award (2011) Advising & Grants: Advised numerous students (no names listed) and led major grants including NASA Quantum Pathways Institute and Sentinel-6 orbit determination projects. Active in Institute of Navigation leadership roles. Labs/Teams: Colorado Center for Astrodynamics Research (CCAR), Quantum Pathways Institute, and collaborative efforts on CubeSat atomic clock experiments.

Andreas Peter BurgView profile

Associate Professor

• Circuits and systems for telecommunications
• Silicon implementation of communication technologies
• Communication algorithms optimization
• +5 more

Andreas Peter Burg is a Tenured Associate Professor at the École Polytechnique Fédérale de Lausanne (EPFL), where he leads the Telecommunications Circuits Laboratory (TCL) within the School of Engineering. He holds multiple academic and administrative roles at EPFL including Associate Professor in Teaching (SEL, EDMI, EDEE), Director of SEL Management, and Member of the Doctoral Program Committee for Electrical Engineering. Dr. Burg received his Dipl.-Ing. degree in 2000 and Dr. sc. techn. degree in 2006 from ETH Zurich. His academic career includes positions as SNF Assistant Professor at ETH Zurich (2009-2011) before joining EPFL in January 2011 as a Tenure Track Assistant Professor, where he was promoted to Tenured Associate Professor in June 2018. His research focuses on circuits and systems for telecommunications , with particular expertise in silicon implementation of communication technologies, communication algorithms optimization for hardware, low-power VLSI signal processing, and digital integrated circuits. His work bridges theoretical communication concepts with practical circuit implementations, addressing challenges in wireless and wired communication systems. His recent publications (2024-2025) demonstrate a strong focus on next-generation communication technologies including 6G systems, advanced error correction coding, wireless sensing applications, and ultra-low power circuit design. These works span multiple subfields from LDPC and polar code decoding to RF signal processing and machine learning applications in wireless systems. Willi Studer Award (2000) ETH Medal for diploma thesis (2000) ETH Medal for Ph.D. dissertation (2006) Swiss National Science Foundation Assistant Professorship grant (2008) Dr. Burg has been involved in the development of more than 25 ASICs throughout his career and co-founded Celestrius, an ETH spinoff in MIMO wireless communication. His laboratory work focuses on practical implementations of communication algorithms with emphasis on power efficiency and hardware optimization. Current research directions include 6G technologies, wireless sensing applications, and novel error correction techniques for next-generation communication systems.

• Electromagnetic
• Microwave
• Antenna Technologies
• +3 more

Dr. Hayrullah Yıldız is an Assistant Professor in the Electrical and Electronics Engineering Department at Bağışent University, specializing in radar systems, vortex waves, and antenna technologies. He earned his PhD, Master's, and Bachelor's degrees in Electrical and Electronics Engineering from Middle East Technical University (METU) in 1996, 1988, and 1986, respectively. Education: PhD (1996): METU, Electrical and Electronics Engineering Master's (1988): METU, Electrical and Electronics Engineering Bachelor's (1986): METU, Electrical and Electronics Engineering His research focuses on electromagnetic theory, microwave engineering, and advanced radar systems, particularly vortex wave applications in beamforming and localization. Recent work includes software-defined radar signal generators, X-band and K-band radar systems with collimated vortex waves, and OAM multiplexing for Ka-band communication. The 15 most recent articles (1996–2024) highlight his expertise in collimated vortex waves , phased arrays , OAM multiplexing , and microwave imaging . Subfields span from beam steering to space-time coding and antenna array optimization . Projects (2019–2023) include Radar Target Localization , Phased Array Design , and Satellite Communication Beamforming . He teaches courses such as Electromagnetic Theory , Radar Systems , and Microwave Engineering .

• Wireless Sensing
• Radar Technology
• Machine Learning
• +7 more

Kevin Chetty is a Professor of Wireless Sensing at University College London (UCL), leading the Urban Wireless Sensing Lab within the Department of Security and Crime Science. His work bridges radar technology, machine learning, and healthcare applications, with a focus on passive sensing systems. Education: PhD in Medical Ultrasound Physics (Imperial College London, 2004-2007), MRes in Image and X-Ray Physics (King's College London, 2003), BSc in Physics (King's College London, 1999) Research spans radar micro-Doppler signature analysis for human behavior classification, software-defined radar development, and integrated communication-sensing systems, with applications in security, healthcare, and smart environments. Recent work emphasizes privacy-preserving technologies and edge processing for real-time operations. Scientific awards include the 2022 IET Radar Systems Best Paper Runner-Up, 2022 IEEE Radar Conference 2nd Place, and 2015 National Instruments Engineering Impact Award. He has received funding from government and industry sectors in telecommunications, IoT, security, and healthcare. Teaching roles: Programme Convener for MSc Crime Science and IEP Minor in Crime and Security Engineering; Module Convener for Security Technologies and Crime Mapping & Spatial Analysis Consultancy: Huawei Technologies (2020-2022), Metropolitan Police Service (2019)

Jaswinder LotaView profile

Researcher

• Signal Processing
• Circuits and Systems
• Wireless Communication
• +7 more

Dr. Jaswinder Lota is a Reader in Engineering at the University of East London , School of Architecture, Computing and Engineering, Department of Engineering & Construction. He is also a Visiting Academic at University College London’s Department of Electronic and Electrical Engineering, and a Chartered Engineer with extensive industry and academic experience. Education: BSc BEng MEng PGCert HE PhD Research Interests: Dr. Lota specializes in signal processing, circuits and systems, wireless communication, and their applications in radar systems (weather/military), low-power sustainable networks beyond 5G/6G (robotics, automation, healthcare), and electronic technologies for hydrogen propulsion. His work integrates AI-driven channel modeling and impulsive noise analysis. Scientific Awards: IEEE CAS Society Certificate of Appreciation (2019) Grants and Collaborations: He has secured significant funding, including a £2.5K International Research Collaboration Award (2016), £2.5K Research Internship Award (2015), £76K Impact Grant (2014), and a £7M MoD-funded project (1999-2004). Collaborators include UCL and NYU. Leadership: Dr. Lota leads the Smart Cities Research group at UEL and contributed to the REF 2021 submission. He has served as Associate Editor for IEEE TCAS I and Guest Editor for multiple IEEE journals.

• Ultra-Low-Power Embedded Systems
• RFID and Backscatter Sensors
• Wireless Sensor Networks
• +5 more

Spyridon Daskalakis is an Assistant Professor at Heriot-Watt University's School of Engineering & Physical Sciences, where he works within the Institute of Sensors, Signals & Systems. His research focuses on next-generation wireless communication systems and ultra-low-power embedded technologies. Dr. Daskalakis earned his Ph.D. from Heriot-Watt University's Microwaves and Antenna Engineering Group following undergraduate and master's studies at the Technical University of Crete's School of Electrical and Computer Engineering. Prior to his academic career, he served as a Senior Electromagnetic Compatibility Engineer at Cirrus Logic and contributed to satellite communications projects at Celestia UK. His research spans ultra-low-power embedded systems , RFID/backscatter sensors , RF energy harvesting , and low-cost wireless agricultural sensors . Current projects emphasize Bluetooth and cellular network integration, software-defined radios, and millimeter-wave communications for sustainable IoT applications that support UN Sustainable Development Goals related to affordable clean energy and responsible consumption. Dr. Daskalakis contributes to the Microwaves and Antenna Engineering Group, a globally recognized research unit specializing in physical-layer wireless systems. His work demonstrates significant impact through high citation rates, particularly in millimeter-wave backscatter communications and ambient RF energy harvesting technologies. He maintains an active professional presence through his personal website www.daskalakispiros.com and LinkedIn, while fostering student development through collaborative research projects focused on real-world wireless communication challenges.

Ozgur OzdemirView profile

Research Professor

• Unmanned Aerial Systems (UAS)
• mmWave Technology
• Wireless Communication
• +7 more

Ozgur Ozdemir is an Associate Research Professor in the Department of Electrical and Computer Engineering at North Carolina State University's College of Engineering. He is affiliated with the university's primary faculty and works closely with platforms like AERPAW and AFAR Challenge. His research focuses on advanced wireless systems, including UAV networks, mmWave technology, spectrum analysis, and radar-communication integration. His work spans experimental testbed development, digital twin applications for AI research, and methodologies for improving coverage in rural and urban environments. Ozdemir has contributed to standards like 5G NR and non-standalone 5G systems, emphasizing practical implementation and environmental impact analysis. He leads efforts in signal processing for autonomous systems and has expertise in software-defined radio (SDR) technologies. Research interests include aerial threat detection, RF signal analysis, and robust localization techniques. He explores challenges in NLOS bias correction, antenna radiation patterns, and passive reflector-based coverage enhancement. His work often combines theoretical models with experimental validation using platforms like AERPAW. His articles highlight advancements in drone detection systems, channel modeling for mmWave, and the integration of radar and communication systems. Key trends show a focus on outdoor/indoor spectrum measurements, UAV navigation, and resilient network design. Ozdemir's contributions are characterized by empirical studies and cross-disciplinary approaches to wireless challenges.

Patrizia SaviView profile

Associate Professor

• GNSS Reflectometry
• Microwave Characterization of Materials
• Graphene Nanoplatelets
• +3 more

Patrizia Savi is a Tenured Associate Professor at the Polytechnic University of Turin within the Department of Electronics and Telecommunications. She actively participates in the Power Electronics Innovation Center (PEIC) and serves as a Senior Member of IEEE and the International Union of Radio Science . Teaching: She has been the Titolare del corso for 'Campi Elettromagnetici' (Electromagnetic Fields) since 2019-2021 at the Polytechnic University of Turin. Key Collaborations: Works with researchers across Italy and international institutions on projects involving GNSS-R for environmental monitoring. Research Interests: Her work focuses on GNSS Reflectometry for soil moisture retrieval, carbon-based composites (graphene, biochar, nanotubes) for microwave applications, and graphene tunable devices including biosensors. She also explores electromagnetic shielding using sustainable materials. Recent Publication Trends: Recent work emphasizes machine learning integration with GNSS-R data, biochar composite shielding in construction materials, and graphene-based biosensors for glucose and HRP detection. Key applications span climate action , environmental monitoring , and medical diagnostics . Scientific Awards: IEEE Fellow (2016-) IEEE Senior Member (2016-) International Union of Radio Science Senior Member (2024-) Advising: Supervises PhD students Simone Gaetano Ballaera and Fabio Peinetti , focusing on graphene sensors and tunable devices.

• Internet of Things
• RFID and antenna design
• Wireless sensor networks
• +5 more

Turke Althobaiti is an active researcher and faculty member whose recent work is concentrated in electrical and computer engineering, with strong interdisciplinary links to computer science and biomedical informatics. Based on co-author affiliations and publication scopes, he is associated with King Saud University, College of Engineering, Department of Electrical Engineering . Research Interests: Design of UHF RFID antennas and Internet-of-Things sensing systems. Localization and communication in smart cities, including non-line-of-sight mitigation and 5G/6G networks. Machine-learning-driven healthcare applications—ranging from COVID-19 detection via chest X-rays to arrhythmia and pneumonia screening. Assistive technologies for the visually impaired, employing contactless RF sensing and AI-based navigation aids. Cloud-security solutions, specifically ensemble intrusion-detection systems against flash-crowd attacks. Cross-disciplinary forays into metabolomics biomarkers and human-animal affective computing. Across 15 recent publications (2019-2025), Althobaiti demonstrates a clear trajectory toward AI-enabled sensing and communication . Workflows combine hardware-level innovations (antennas, RFID tags, USRP radios) with data-level advances (deep learning, ensemble methods, privacy-preserving techniques) to address real-world problems in healthcare, smart cities, and assistive living. Scientific Awards & Recognition: No specific awards are listed in the provided text. Advising & Grants: While no explicit list of students or funded projects is given, the high volume of multi-institutional collaborations and senior-author positions suggest active supervision of graduate researchers and participation in funded projects, most likely supported by the Deanship of Scientific Research at King Saud University or similar Saudi funding bodies. Laboratories & Teams: Though no formal laboratory names are provided, the breadth of hardware prototyping, RF experimentation, and AI model development implies access to well-equipped laboratories in RF/microwave engineering, embedded systems, and computational intelligence.

Seyed A. ZekavatView profile

Professor

• Wireless Communications
• Positioning Systems
• Software Defined Radio Design
• +5 more

Seyed A. Zekavat is a Physics Professor at Worcester Polytechnic Institute (WPI), affiliated with Data Science initiatives. His academic journey includes a PhD in Electrical & Computer Engineering from Colorado State University (2002), an MS from Sharif University of Technology, and a BS from Shiraz University. He is a leading expert in wireless communication systems, positioning technologies, and signal processing. His research focuses on advancing wireless positioning systems , software-defined radio design , and MIMO/beamforming techniques . He has authored/co-authored multiple books, including the textbook Electrical Engineering: Concepts and Applications (Pearson) and the Handbook of Position Location (Wiley/IEEE). He also holds a patent for an active Wireless Remote Positioning System . Zekavat actively contributes to the academic community through editorial roles (e.g., IET Communications) and leadership in IEEE conferences. His work integrates hardware design, algorithm development, and theoretical analysis to solve real-world challenges in wireless networks. Recent grants include a $1.1M project to improve agricultural irrigation systems through advanced wireless sensing. He collaborates with the SOILX Lab and Spectrum Center at WPI, focusing on applications in smart infrastructure and spectrum management. His research bridges theoretical innovation with practical deployment across domains like healthcare and environmental monitoring.

• Smart Wireless Systems
• Internet of Things (IoT)
• Information Security
• +8 more

Mohammad Derawi is a Professor in the Department of Electronic Systems at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), Gjøvik campus. He leads the Smart Wireless Systems (SWS) research group and serves as the scientific leader of the IoT Lab at NTNU Gjøvik. Educational Background: PhD in Information Security from NISLab (Norway) and CASED (Germany) BSc and MSc in Informatics from DTU (Denmark) His research interests span smart wireless systems, Internet of Things (IoT), information security with a focus on biometric authentication, digital electronics, applied machine learning for activity recognition, and e-learning technologies. His work integrates cybersecurity, embedded systems, and data science to develop secure and intelligent IoT solutions for real-world applications. The recent publications highlight a strong trend in mmWave-based sensing for unmanned aerial systems, RF fingerprinting for secure identification, IoT security frameworks, and machine learning applications in education and human resource analytics. His research bridges theoretical innovation with practical implementation, particularly in smart cities, healthcare, and transportation. Scientific Awards and Recognition: Invitation to the Crown Prince and Princess's 50th birthday celebration, 2023 Study Quality Award, NTNU, 2017 Norway’s Youngest Professor Award, 2016 Denmark’s youngest M.Sc. engineering award, 2009 IEEE Commendation for Young Professionals Volunteer, 2011 Multiple best paper awards from IEEE, ACM, and Springer Mohammad Derawi has been involved in several funded research and development projects, including IoT Safetraffic (RFF Inland), Ambulance Drone (NTNU Vice-Rector), Wireless ECG (Innovation Norway), biometric handgun security (RFF Innlandet), and the EU Framework 7 TURBINE project. He mentors students and collaborates with international researchers, contributing significantly to both academic and applied domains. His leadership in the SWS group and IoT Lab fosters innovation in wireless and secure embedded systems. He is actively engaged in laboratory and team-based research, particularly through the Smart Wireless Systems group and the IoT Lab, focusing on developing secure, intelligent, and scalable solutions for next-generation wireless applications.

Dejan FilipovicView profile

Professor

• Antenna Theory
• RF Engineering
• Microwave Engineering
• +5 more

Dejan Filipovic is a Professor and holds the Hudson Moore Jr. Chair in Engineering at the University of Colorado Boulder, where he leads the Antenna Research Group (ARG) in the Department of Electrical, Computer, and Energy Engineering. His research focuses on advanced antenna systems for applications including communications, radar, and electronic warfare, with particular emphasis on antenna theory and design. Professor Filipovic's research specializes in antenna theory and design with emphasis on applications of electrically small antennas (ESAs) , simultaneous transmit and receive (STAR) , and wideband microwave and millimeter wave communication systems. His work addresses challenging problems in electronic warfare front-ends, spectrum sensing, and direction finding applications, often incorporating innovative fabrication techniques including 3D printing for rapid prototyping. Analysis of Professor Filipovic's recent publications reveals a consistent focus on wideband antenna systems spanning from HF through millimeter-wave frequencies (0.5-110 GHz). His research group demonstrates expertise in retrodirective and direction-finding arrays , full-duplex communication systems , and the application of additive manufacturing to antenna design. A notable trend is the integration of machine learning techniques to enhance traditional antenna system performance, particularly in direction finding applications. Key scientific recognition includes: NSF Graduate Fellowship Award (awarded to students in his group) Honorable Mention by the NSF Graduate Research Fellowship committee Silver medal in Student Paper Competition at the 2021 ACES Conference Excellence in Outreach Award for departmental and community contributions Professor Filipovic has mentored numerous graduate students to completion of their degrees, with recent thesis defenses including Gabriel A. (MSc on Deployable Electrically Small Folded Cylindrical Helix HF Antenna), Dong-Chan Son (PhD on Wideband, Highly Directional Antennas), and Songyi (PhD on Unconventional Arrays for HF and Other Applications). His research group maintains strong industry and defense connections, as evidenced by visits from notable figures such as Dr. Heidi Shyu, Under Secretary of Defense for Research and Engineering. The ARG laboratory operates a sophisticated research facility featuring an NSI 700S-30 Spherical near-field/far-field measurement system (1-110 GHz), multiple vector network analyzers including Agilent PNAx with OML extensions, and advanced 3D printing capabilities for rapid antenna prototyping. Current research projects include the Signal Processing Electronic Attack RF (SPEAR) Front-End, Flexible and Modular RF Systems for Space Constrained Decoys, and Circulator In Aperture (CIA) research.