Find Academic Supervisors

Aryan KaushikView profile

Associate Professor

• Signal Processing
• 5G/6G Wireless Communications
• Integrated Sensing and Communications
• +7 more

Dr. Aryan Kaushik is an Associate Professor at Manchester Metropolitan University (Manchester Met), UK, since 2024, affiliated with the Department of Computing and Mathematics. He also serves as Chief Advisor at RakFort, Ireland, since 2025. Previously, he was an Assistant Professor (senior grade) at the University of Sussex, UK, from 2021-24, and held roles as Recruitment and Admissions Tutor and Academic Advisor there. His academic journey includes a Research Fellow position at University College London (2020-21), and a PhD in Communications Engineering from the University of Edinburgh (2019). He holds an MSc in Telecommunications from the Hong Kong University of Science and Technology (2015). Education: PhD in Communications Engineering, University of Edinburgh (2019) MSc in Telecommunications, Hong Kong University of Science and Technology (2015) Professional Roles: Chair of IEEE ComSoc ETI on Electromagnetic Signal and Information Theory (since 2024) Core Member of IEEE P1955 Standard on 6G-Empowering Robotics Editorial roles across multiple IEEE journals and conferences His research focuses on 5G/6G wireless communications , integrated sensing and communications , reconfigurable holographic surfaces , non-terrestrial networks , and AI-driven network optimization . He has led UKRI-funded projects on topics like AI-assisted ISAC and Net Zero 6G, and collaborates globally with institutions like IIIT-Delhi, University of Bologna, and Imperial College London. Dr. Kaushik has received awards including the Top Editor Award 2025 (IEEE IoT Magazine), Best Editor Awards 2023-2024 (IEEE Open Journal), and was shortlisted for teaching excellence awards at Sussex. He actively contributes to standardization, serves on over 14 IEEE conference committees, and has delivered 110+ keynote/tutorial talks worldwide. His leadership extends to roles like TPC Co-Chair at IEEE ICC 2025 and Chair of Special Interest Groups on AI-driven Non-Terrestrial Networks and Fluid Antenna Systems.

Zicheng ChiView profile

Assistant Professor

• Internet of Things (IoT)
• Cyber-Physical Systems
• Wireless Networks
• +5 more

Zicheng Chi is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Cleveland State University. His research focuses on Internet of Things (IoT) and cyber-physical systems, with expertise in wireless networks, embedded systems, and RF sensing. Ph.D. in Computer Engineering, University of Maryland, Baltimore County (2020) M.E. in Microelectronics and Solid Electronics, South China University of Technology (2011) B.S. in Electronic Information Science and Technology, Lanzhou University (2007) Chi's work explores fundamental networking and energy challenges in IoT, including LTE backscatter systems, cross-technology communication protocols, and interference-negligible RF sensing. His research bridges communication efficiency and security in heterogeneous IoT environments. Recent publications demonstrate expertise in high-throughput backscatter (2024), secure asymmetric communication (2024), vehicle-to-vehicle perception (2023), and tactical IoT protocols (2022). His work spans wireless network optimization, security mechanisms, and energy-efficient system design. Best Paper Award Candidate, SenSys 2019 Best Paper Runner-up, SenSys 2018 Chi teaches graduate and undergraduate courses in computer networks, data communication, and system programming. His NSF-funded SWIFT project investigates spectrum coexistence in IoT systems.

• Antenna Engineering
• Microwave Technology
• RF Systems
• +3 more

Zhishu Qu is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her research focuses on reconfigurable antenna systems, particularly leveraging gallium-based liquid metals to enable dynamic beam steering, frequency agility, and phase control. She explores applications in millimeter-wave communications, LEO satellite systems, and phased array configurations. Key contributions include innovations in transmitarray unit cells, substrate integrated waveguide (SIW) phase shifters, and adaptive antenna designs. Her work spans theoretical analysis of antenna performance limits and practical implementations of liquid metal actuation in RF components. Research interests also encompass microwave engineering, electromagnetic compatibility, and next-generation wireless infrastructure. Current trends in her publications emphasize miniaturization, low-loss solutions, and reconfigurability for 5G and beyond. Notable research areas include: Beamforming algorithms for satellite communications Liquid metal integration in RF systems Millimeter-wave phased array optimization Adaptive antenna pattern reconfiguration Publications since 2020 demonstrate sustained contributions to reconfigurable antenna architectures, with recent work (2024-2025) focusing on beam switchable antennas and distributed beamforming schemes.

Dennis AkosView profile

Professor

• RF Signal Processing
• RF Interference
• Integrated Navigation Systems
• +3 more

Dennis Akos is a Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder. He is affiliated with the Research and Engineering Center for Unmanned Vehicles (RECUV) and the Colorado Center for Astrodynamics Research (CCAR). His research focuses on RF signal processing, RF interference mitigation, integrated navigation systems, and VHF modulation. He holds a Ph.D. in Electrical and Computer Engineering from Ohio University (1997), with earlier degrees from the same institution. His professional experience includes roles at Stanford University’s GPS Laboratory and the Lulea Institute of Technology. He has received notable awards such as the Institute of Navigation Fellow (2022), Thurlow Award (2009), and multiple best paper awards. His work emphasizes GNSS security, spoofing detection, and low-cost receiver solutions. Recent articles highlight advancements in GNSS RFI localization, Android device navigation, and software-defined radio applications. His lab explores innovations in space situational awareness, multi-sensor PVT solutions, and interference-resistant systems. Collaborative projects leverage crowdsourced smartphone data to enhance GNSS reliability. Awards: Fellow of the Institute of Navigation, Thurlow Award, Samuel M. Burka Award, and FAA Excellence in Aviation Research. Grants/Advising: Advising on GNSS security and Android-based navigation systems; involved in federally funded research on interference mitigation and satellite clock stability. Labs/Teams: Leads research at RECUV and CCAR, focusing on unmanned systems and astrodynamics challenges.

Ali LalbakhshView profile

Lecturer

• Electrical Engineering
• Antenna Design
• Metamaterials
• +3 more

Ali Lalbakhsh is a Lecturer in the Department of Engineering at Macquarie University College, specializing in engineering education and antenna design. He focuses on fostering a growth mindset among students in the Diploma of Engineering program, emphasizing engagement, confidence-building, and real-world application. His teaching strategies have significantly improved student attendance, assignment submission rates, and satisfaction. He redesigned curricula for units like WENG1000 and WENG1050, incorporating scaffolded learning, peer feedback, and industry-inspired projects. His research spans metamaterials, 3D-printed antennas, and microwave engineering, with over 50 publications in top journals and conferences. He led students to national recognition in the D.Start 2022 innovation program and co-authored peer-reviewed papers with students. His work bridges educational innovation and cutting-edge antenna technology. Education: PhD in Electrical Engineering (Implied by publication track) Research Interests: Ali’s research focuses on advancing antenna technologies through metamaterials, 3D printing, and AI-driven design. He explores applications in satellite communications, 5G, and IoT systems. His work addresses challenges in beam steering, bandwidth optimization, and low-profile antenna design. Recent projects include phase-modulation metasurfaces for satellite antennas and AI-enhanced impedance matching structures. Awards: 2023 Vice-Chancellor’s Learning and Teaching Award (Student Nominated) Student Impact: Ali mentors students in research projects, leading to publications and innovation awards. His pedagogical approach emphasizes one-on-one feedback and goal-setting, enabling students to achieve beyond expectations. Collaborative projects with students have resulted in journal papers and national competitions. Labs/Teams: Active in Macquarie University’s engineering research groups focused on antenna design and educational technology.

Bletsas AggelosView profile

Professor

• Wireless Transmission
• Wireless Relay Networks
• Software-Defined Radio
• +3 more

Aggelos Bletsas is a Professor at the School of Electrical and Computer Engineering, Technical University of Crete. He holds a PhD from MIT (2005) and has expertise in wireless communication, backscatter networks, and RFID systems. His research focuses on scalable wireless networks, ultra-low-cost sensor technologies, and signal processing. Education: PhD, MIT Media Lab (2005) MSc, MIT Media Lab (2001) Diploma in Electrical & Computer Engineering, Aristotle University of Thessaloniki (1998) Research Interests: His work spans wireless transmission techniques, backscatter sensor networks, and RFID systems. Key areas include: Ultra-low-cost sensor deployment RFID localization and multi-static systems Energy-efficient hardware implementations Probabilistic inference in distributed networks Awards: IEEE Marconi Prize Paper Award (2008) Technical University of Crete Research Excellence Award (2012-2013) Multiple best paper awards at RFID-TA, ISWCS, and SENSORS Academic Contributions: He advises students who have won IEEE best thesis awards and leads projects funded by ERC grants. His laboratory focuses on practical implementations of wireless sensor networks and backscatter systems. Labs & Affiliations: Director of the Telecommunications Laboratory and affiliated with the Telecommunication Systems Institute (TSI).

• Wireless Communication
• Machine Learning
• Signal Processing
• +4 more

Prof. Dr. Haris Gačanin is a faculty member at RWTH Aachen University, affiliated with the Institute for Distributed Signal Processing under the College of Electrical Engineering. His research focuses on integrating machine learning with wireless communication systems, particularly in industrial IoT, edge computing, and network optimization. Current academic rank: Professor Contact: harisg@dsp.rwth-aachen.de Research Interests: Wireless systems, machine learning, signal processing, and network optimization. Key contributions include: Adaptive resource allocation in IIoT and vehicular networks AI-driven channel estimation and feedback mechanisms Security-oriented emitter identification via metric learning Federated/transfer learning for edge environments Hardware-efficient deep learning models for mmWave and THz communications Methodological Focus: Combines reinforcement learning, attention mechanisms, and robust neural architectures with practical implementations on FPGA and vehicular systems.

Patrick McCormickView profile

Assistant Professor

• Radar Systems
• Signal Processing
• RF Engineering
• +3 more

Patrick McCormick is an Assistant Professor and Assistant Scientist in the Department of Electrical Engineering and Computer Science (EECS) and the Institute for Information Sciences (I2S) at the University of Kansas. He joined the university in 2021 after working at the Air Force Research Laboratory - Sensors Directorate (2018-2021). His research focuses on RF systems, signal processing, and waveform design for radar and communication systems. B.S. Mechanical Engineering, University of Kansas (2008) B.S. Electrical Engineering, University of Kansas (2013) Ph.D. Electrical Engineering, University of Kansas (2018) McCormick’s research areas include optimal emission design, multifunction transmissions, hardware characterization/compensation, and adaptive model-based parameter estimation. He leads the Radar Systems and Remote Sensing Laboratory (RSL) and has published extensively in radar waveform diversity, spectrum sharing, and adaptive signal processing. Recent work trends emphasize dual-function radar-communications co-design, low-cost systems, nonlinear hardware characterization, and digital array optimization. His publications span topics like waveform optimization, mutual coupling compensation, and power-efficient joint systems. IEEE Aerospace and Electronic Systems Society 2018 Robert T. Hill Best Dissertation Award He advises graduate students and collaborates with researchers at institutions like the Air Force Research Laboratory (AFRL), University of Oklahoma (OU), and international conferences. His service includes conference chairs, special session organization, and journal reviewing for IEEE Transactions on Signal Processing and Aerospace Systems. McCormick holds memberships in IEEE, Signal Processing Society, and Young Professionals. His lab seeks motivated graduate students for research in radar waveform design and RF systems.

Elias AboutaniosView profile

Professor

• Signal and Image Processing
• Parameter Estimation
• Signal Detection
• +13 more

Professor Elias Aboutanios is a distinguished academic at the University of New South Wales (UNSW), serving as Professor in the School of Electrical Engineering and Telecommunications. With a career spanning over two decades in academia and research, he has established himself as a leading expert in signal processing, radar systems, satellite technology, and NMR spectroscopy. Professor Aboutanios earned his BE in Electrical Engineering from UNSW in 1997 and completed his PhD from UTS in 2002, with research focused on frequency estimation for communications with low earth orbit satellites. Following his doctoral studies, he conducted postdoctoral research at the Institute for Digital Communications at the University of Edinburgh from 2003 to 2007, specializing in space-time adaptive processing for radar target detection. He joined UNSW as a senior lecturer in 2007, was promoted to associate professor in 2019, and achieved the rank of Professor in 2022. His research interests span a broad spectrum of signal processing domains including signal and image processing, parameter estimation, array signal processing, statistical signal processing, positioning and localization, radar and sonar signal processing, NMR signal processing, and space systems. Professor Aboutanios has developed significant expertise in nuclear magnetic resonance spectroscopy, global navigation satellite systems, radar target detection, biologically inspired signal processing, power systems and smart grids, and theoretical signal processing. His work bridges theoretical foundations with practical applications across multiple engineering disciplines. Professor Aboutanios's recent publications demonstrate a strong focus on integrated sensing and communication systems, radar technology, satellite applications, and advanced signal processing techniques. His research shows a clear trajectory toward dual-function radar-communication systems, massive MIMO architectures, CubeSat technology for air traffic monitoring, and innovative approaches to NMR spectroscopy. His work consistently addresses challenging problems in signal parameter estimation, adaptive processing, and system design across multiple application domains. Professor Aboutanios has made significant contributions to engineering education, having developed new courses in electrical engineering design and established the master's program in satellite systems engineering. His educational innovations focus on teaching signal processing through frequent and diverse design experiences, enhancing student learning outcomes in technical subjects. He has led significant space projects including UNSW's involvement in the European QB50 project and the UNSW-EC0 satellite mission, which successfully launched in 2017. As a member of the Space Industry Association of Australia's Legislation Working Group, he has contributed to shaping space policy through multiple submissions to the Australian Government's review of the Space Activities Act.

• Electromagnetics
• Photonics
• Metamaterials
• +3 more

Mohammadmahdi Asgari is a Doctoral Researcher at Aalto University's Department of Electronics and Nanoengineering. His research focuses on advanced electromagnetic and photonic materials, particularly metasurfaces , metamaterials , and photonic time crystals . His work explores applications in wireless communication enhancement, inverse topology design for multifunctional surfaces, and non-reciprocal optical phenomena. Key research themes include: Wave propagation control Spontaneous magnetization effects Space-time modulated materials Passive metacrystal systems Publications reveal a concentration on both theoretical frameworks and practical implementations in electromagnetic and optical engineering. Asgari collaborates with prominent researchers including Shanhui Fan and Viktar Asadchy.

Vincent FuscoView profile

Professor

• Antenna Technology
• Wireless Communication Systems
• Electromagnetic Materials
• +9 more

Professor Vincent Fusco holds the position of Professor of High Frequency Electronics at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science, and serves as CTO of the Institute of Electronics, Communications & Information Technology (ECIT). His research focuses on advanced wireless technologies, including active antenna systems, self-tracking antennas, and synthetic electromagnetic materials for space and medical applications. He has pioneered work in multimode antenna arrays and low-cost phased arrays. He leads high-impact industry collaborations in autonomous vehicles, IoT, satellite communications, and healthcare imaging. Notable awards include the IET Mountbatten Medal and IEEE Fellow status. Supervised students include Anil Chepala (PhD 2016-2019) and Grzegorz Wolosinski (PhD 2018-2018), with alumni such as Prof. Sandeep Sancheti. Research projects include GIGARADIO (short-range gigabit wireless) and New Technologies for Wireless Power Transfer. Key achievements include founding the field of active antenna technology and establishing Queen's wireless lab. His work spans over 689 publications and 13 major research projects, with active grants in mmWave antennas and 5G/6G systems.

• Electromagnetic Engineering
• Nanophotonics
• Metamaterials
• +3 more

Viktar Asadchy is an Assistant Professor in the Department of Electronics and Nanoengineering at Aalto University . His research focuses on electromagnetic wave control , photonic time crystals , and metasurface engineering , with applications in nonreciprocal optics , reconfigurable intelligent surfaces , and terahertz technology . He has published extensively on dynamic metamaterials and spatiotemporal modulation. Email: viktar.asadchy@aalto.fi His recent work explores terahertz frequency conversion , inverse-designed time-varying nanostructures , and nonreciprocal metasurfaces . Trends in his publications emphasize harnessing temporal modulation and quasi-bound states to achieve extreme electromagnetic control, including perfect anomalous reflection and energy accumulation in photonic systems.

Aravind NaguluView profile

Assistant Professor

• Analog/RF/millimeter-wave integrated circuits
• Analog computing
• Bio-medical scanners
• +3 more

Aravind Nagulu is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University's Oakland, California campus. His research focuses on analog/RF/millimeter-wave integrated circuits, quantum computing hardware, bio-medical scanners, and analog computing systems. He leads the Nagulu Lab, which explores interdisciplinary applications of circuits and systems in quantum computing, biomedical imaging, and wireless communications. Education: PhD in Electrical Engineering from Columbia University (2021). Research Highlights: Current projects include cryogenic-CMOS circuits for scalable quantum systems (NSF CAREER Award, $500K) and dense spectrum monitoring for 6G networks (NSF NewSpectrum grant, $800K). His work bridges circuit design with emerging technologies like Floquet topological insulators and superconducting non-reciprocity. Awards: 2024 NSF CAREER Award Grants & Collaborations: NSF NewSpectrum (with Duke, Oregon State, Notre Dame) Institute for NanoSystems Innovation affiliation Labs/Teams: Directs the Nagulu Lab, part of Northeastern's interdisciplinary research ecosystem addressing quantum infrastructure and future wireless systems.

• Communication and Information Theories
• Wireless Communications
• Energy-Efficient Wireless Networks
• +1 more

Dr. Nghi Tran is a Professor in the Department of Electrical and Computer Engineering at the University of Akron's College of Engineering. His research focuses on communication and information theories, wireless communications, energy-efficient wireless networks, and security. He has published over 160 papers and served as an editor for multiple IEEE journals. Education: Ph.D. in Electrical & Computer Engineering (University of Saskatchewan, 2008) Education: M.Sc. in Electrical & Computer Engineering (University of Saskatchewan, 2004) Education: B.Sc. in Electrical Engineering (Hanoi University of Technology, 2002) Dr. Tran's research spans wireless communication systems, with special emphasis on physical layer security, energy-efficient networks, full-duplex technologies, and channel coding. His work bridges theoretical foundations with practical implementations in next-generation wireless systems. His recent publications (2023-2025) demonstrate expertise in physical layer security, full-duplex antenna design, polar codes for GNSS, and machine learning applications in MIMO systems. Key trends include optimization of wireless networks, robust error correction, and cross-layer security approaches. Scientific Awards: NSERC Postdoctoral Fellowship Professional Recognition: IEEE Senior Member As an ABET coordinator for ECE and frequent journal editor, Dr. Tran contributes to academic leadership. His research has received funding from the US National Science Foundation, Office of Naval Research, Air Force Research Laboratory, and industry partners.

Jayakrishnan M. PurushothamaView profile

Assistant Professor

• Microwave Engineering
• Antenna Design
• Chipless RFID
• +5 more

Jayakrishnan M. Purushothama is an Assistant Professor in the Microwave and Antenna Engineering Research Group at Heriot-Watt University's School of Engineering and Physical Sciences since March 2023. Previously, he held roles including Post-Doctoral Researcher (2019–2021) and Ph.D. scholar (2016–2019) at Université Grenoble Alpes, and Research Fellow (2014–2016) at Cochin University of Science and Technology. Education: B.Sc. (Electronics) & M.Sc. (Electronics Science), Mahatma Gandhi University & Cochin University of Science and Technology (2012–2014), both with first rank honours. Ph.D. (RF and Microwave Electronics Engineering), Université Grenoble Alpes (2019). Research interests focus on microwave antennas, beamforming, chipless RFID systems, CBRAM-based RF switches, medical biosensors, and electromagnetic compatibility. His work emphasizes reconfigurable systems, energy efficiency, and non-volatile memory applications in passive devices. Awards include the URSI Young Scientist Award (2020), 4th Prize in URSI Student Competition (2018), and UGC NET/JRF qualification (top 0.6% in 2013). Grants include ERC-funded ScattererID project (2019–2021) developing CBRAM-based RF switches. His lab explores innovations in antenna engineering, RF materials, and wearable electronics. Key contributions include reconfigurable antennas, low-cost RFID tags, and metamaterial-based shielding solutions.