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Jonathan OwenView profile

Assistant Professor

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

Jonathan Owen is a Courtesy Assistant Professor at the University of Kansas, affiliated with the School of Engineering and the Department of Electrical Engineering and Computer Science. His research focuses on advanced radar systems, including waveform design, cognitive radar, and spectrum sharing techniques. He has conducted experimental demonstrations of multi-user radar/communications (MURC), tunable phase-attached radar-communications (PARC), and real-time waveform-diverse pulse-Doppler systems. Notable contributions include optimizing non-uniform radar waveforms, developing clutter suppression algorithms like DeCCaF, and exploring gradient-based approaches for pulse repetition interval (PRI) staggering. His work emphasizes practical implementations using software-defined radar platforms like MicRIB. Dr. Owen’s research bridges theoretical signal processing with real-world radar applications, addressing challenges in spectral efficiency, Doppler robustness, and interference mitigation. Education and background details are not explicitly provided in the text. His publications span from 2015 to 2025, with a strong emphasis on experimental validation and cognitive radar systems. No scientific awards are listed here. Advising details and grant information are also not specified, though his experimental focus suggests involvement in laboratory setups and collaborative projects. Key research themes include spectral notching, adaptive waveform design, and radar-communications integration, with applications in both military and civilian domains. His work often combines hardware prototyping with algorithmic innovation, as seen in projects like the Software-Defined Radar (SDR) development and real-time spectrum sensing demonstrations.

Abdel Razik SebakView profile

Professor

• Antenna Engineering
• Analytical and Computational Electromagnetics
• Microwave Engineering
• +7 more

Abdel Razik Sebak is a Professor and Tier I Concordia University Research Chair in Millimeter-wave Antennas and Systems, affiliated with the Department of Electrical & Computer Engineering at Concordia University. He holds prestigious titles such as IEEE Fellow (2012) and Fellow of the Engineering Institute of Canada (2014). His research focuses on antenna engineering and computational electromagnetics, including millimeter-wave antennas, beamforming systems, reconfigurable structures, and electromagnetic modeling. His work involves sponsored projects on ultra-wideband antennas, dielectric resonator antennas, and mm-wave detection/imaging technologies. He has contributed to advancements in phased arrays, reflectarrays, and high-gain antennas for 5G and satellite applications. Key contributions include the design of low-loss ridge gap waveguide components and the development of AI-driven inverse design methodologies. Dr. Sebak has received notable awards such as the IEEE Antennas and Propagation Society Best Chapter Award and the Governor General’s Gold Medal (co-supervised). He has chaired major conferences like the IEEE Antennas and Propagation Symposium (2020) and served on numerous technical committees, including roles in IEEE RAB, CCECE, and the Engineering Institute of Canada. His technical leadership spans over two decades, with significant roles in organizing and reviewing conferences and grants. His research emphasizes minimizing mutual coupling in MIMO systems, enhancing antenna efficiency via metamaterials, and optimizing radiation patterns using advanced lens technologies. He has pioneered transparent electromagnetic surfaces for CubeSat applications and explored graphene-based metasurfaces for terahertz beam generation. Current trends in his publications highlight reconfigurable intelligent surfaces, AI-driven design, and terahertz frequency innovations.

George C. AlexandropoulosView profile

Associate Professor

• Wireless Communication Systems
• Signal Processing
• Algorithmic Design
• +9 more

George C. Alexandropoulos George C. Alexandropoulos is an Associate Professor at the Department of Informatics and Telecommunications, School of Sciences, National and Kapodistrian University of Athens (NKUA). He also holds an adjunct professorship at the University of Illinois Chicago. His research focuses on wireless communication systems, signal processing, and reconfigurable intelligent surfaces (RIS), with contributions to integrated sensing and communications (ISAC), millimeter-wave/THz systems, and distributed machine learning. Education Ph.D. in Computer Engineering and Informatics, University of Patras, Greece (2010) M.A.Sc. in Signal and Communications Processing Systems, University of Patras, Greece (2005) Engineering Diploma (5 years), Computer Engineering and Informatics, University of Patras, Greece (2003) Research Interests Alexandropoulos' work spans algorithmic design for wireless networks, optimization of multi-antenna systems, and full-duplex radios. He is particularly known for pioneering contributions to reconfigurable metasurfaces, including their application in ISAC and 6G networks. His research emphasizes practical implementations, such as prototypes for AoA estimation and field trials for RIS deployment. Articles His publications highlight advancements in secure ISAC, fluid RIS design, and edge-intelligence networks. Recent work explores challenges in THz RIS hardware and OTA edge inference using metasurface-integrated neural networks. Scientific Awards IEEE ComSoc Leonard G. Abraham Prize (2024) IEEE Marconi Prize Paper Award (2021) NKUA Research Excellence Award (2023-2024) Advising & Grants Alexandropoulos has led several EU and industry projects, including contributions to Huawei's 5G standards and TII's AI research. His work often involves interdisciplinary teams and practical prototyping. Labs & Teams He is affiliated with the Communications and Signal Processing division at NKUA and collaborates with institutions like ATHENA Research Center and the Technology Innovation Institute (Abu Dhabi).

Weilin QuView profile

Associate Professor

• Thermal/Fluid Transport Phenomena
• Micro-Scale Structures
• Boiling and Two-Phase Flow
• +3 more

Dr. Weilin Qu is an Associate Professor in the Department of Mechanical Engineering at the University of Hawaii's College of Engineering. His research focuses on thermal/fluid transport phenomena in micro-scale structures, boiling and two-phase flow, electronics cooling, and seawater desalination driven by renewable energy. He holds a PhD from Purdue University (2004), and MS (1997) and BE (1994) degrees from Tsinghua University, China. Research interests include optimizing heat transfer in microscale systems, enhancing cooling solutions for electronics, and sustainable energy applications in desalination. His work bridges experimental analysis of micro-pin-fin heat sinks and two-phase flow dynamics, with publications in journals like IEEE Transactions and ASME Journals. Teaching responsibilities include courses such as ME 301 (Mechanical Engineering Experimentation), ME 401 (Thermofluids Laboratory), and ME 618 (Boiling and Two-Phase Flow). No scientific awards are explicitly listed in the text. His research contributions highlight innovations in microscale thermal management and renewable energy integration.

• Software Defined Radio
• AI/ML for Wireless Communications
• Cyber Security
• +3 more

Ruolin Zhou is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Massachusetts Dartmouth, part of the College of Engineering. She joined UMass Dartmouth in 2018 after serving as a tenured Associate Professor at Western New England University from 2012 to 2018. Her research focuses on software-defined radio (SDR), AI/ML-driven wireless communications, spectrum sensing, cyber & electromagnetic spectrum security, and hardware security. Her work has been supported by grants from NSF, ONR, AFRL, ARL, and industry partners like Lockheed Martin. Dr. Zhou holds a PhD in Engineering from Wright State University (2012), an MS in Electrical Engineering (2007), and a BS in Electrical Engineering from Dalian Jiaotong University (2003). She teaches courses including Foundations of Cybersecurity, Digital Logic Design, and Software-Defined Radio. Her research has led to innovations in FPGA-accelerated deep learning architectures, real-time spectrum monitoring, and secure communication systems. Her contributions have been recognized with awards including the 2024 IEEE Region 1 Outstanding Teaching Award, ONR Summer Faculty Research Fellowships (2022-2023), and Best Demo Awards at GLOBECOM 2010. She actively serves in IEEE roles, including Vice President for Technical Activities within the IEEE Reliability Society (2025) and steering committee memberships in IEEE Future Networks and IoT Technical Communities.

John FramptonView profile

Professor

• Tissue Engineering
• Neural Tissue Engineering
• Microtechnologies
• +3 more

John Frampton is a Professor and Canada Research Chair (Tier II) in Cellular, Biomaterial and Matrix Interaction at Dalhousie University's Frampton Lab . His research focuses on microscale tissue engineering with particular emphasis on neural tissues and development of cost-effective in vitro assay systems using aqueous two-phase technologies. Academic Rank: Professor Institution: Dalhousie University, Canada Research Focus: Cellular engineering, biomaterials, microtechnologies Key Innovation: ATPS-based ELISA technology for cross-reaction-free biomarker detection Dr. Frampton's laboratory develops cutting-edge technologies for tissue engineering, including cell-based assembly of customizable tissue constructs , dynamic hydrogel systems responsive to environmental stimuli , and ATPS-based biopatterning for high-throughput biomolecular assays . These technologies enable the creation of more physiologically relevant in vitro models while significantly reducing assay costs and sample requirements. His ATPS-ELISA technology has demonstrated particular clinical significance in detecting acute graft versus host disease (GVHD) biomarkers with unprecedented accuracy. This platform allows simultaneous detection of multiple biomarkers (HGF, elafin, ST2 and TNFR1) while eliminating cross-reactions that plague conventional multiplex immunoassays. The technology is compatible with standard laboratory equipment while requiring only ~10μL of plasma for four-plex analysis. Scientific Awards: Canada Research Chair (Tier II) in Cellular, Biomaterial and Matrix Interaction Key Research Contributions: Development of rapid tissue engineering platforms using interfacial assembly Innovation in stimuli-responsive hydrogel systems ATPS-based biopatterning for cross-reaction-free immunoassays Microtechnologies for molecular analysis and diagnostics

Nicole OkamotoView profile

Professor

• Thermal Management
• Heat Transfer
• Electronics Cooling
• +5 more

Nicole Okamoto is the Associate Dean for Undergraduate Programs and Student Success at San José State University's College of Engineering. She holds a PhD in Mechanical Engineering from the University of Illinois Urbana-Champaign, where her research focused on heat transfer in louvered-fin arrays. Prior to her administrative role, she served as a professor of Mechanical Engineering and department chair. Her teaching spans thermodynamics, heat transfer, and electronics cooling courses like ME 146 and ME 115. Education: Bachelor of Science in Engineering, Calvin College (1993) Master of Science in Mechanical Engineering, University of Illinois Urbana-Champaign (1990s) Doctor of Philosophy in Mechanical Engineering, University of Illinois Urbana-Champaign (1999) Research Interests: Nicole specializes in thermal management of electronics, heat transfer, data center cooling, and high-altitude thermal systems. Her work includes experimental and computational studies on heat sinks, thermal interface materials, and airflow optimization. She directs the Center for Thermal Management Research, which collaborates with industry partners like Lockheed Martin and Hewlett Packard. Grants & Projects: NSF-funded development of thermal management laboratory curricula California State Research Funds: Microchannel heat transfer analysis NASA-related projects on satellite thermal control systems Labs & Teams: As director of the Center for Thermal Management Research, Nicole oversees facilities including a high-altitude thermal testing chamber, airflow measurement systems, and advanced computational tools (ANSYS, EES). The lab focuses on cooling solutions for electronics, data centers, and aerospace applications.

Aimin SongView profile

Professor

• Nanoelectronics
• Graphene
• Thin-film electronics
• +5 more

Professor Aimin Song is a Professor of Nanoelectronics at the University of Manchester's School of Electrical & Electronic Engineering. His research focuses on novel nanoelectronic devices, printable thin-film electronics, and graphene-based technologies. He holds roles including Chair of the China Thin Film Electronics Symposium and Associate Editor of IEEE Access. His work has led to awards such as the University of Manchester's Researcher of the Year and Royal Society Brian Mercer Award. Education: PhD from Chinese Academy of Sciences (1995), followed by fellowships at University of Glasgow and University of Munich. He joined Manchester as a Lecturer in 2002 and became Professor in 2006. Research interests include ultra-fast graphene detectors, high-frequency nanodiodes, and terahertz metamaterials. His lab develops room-temperature-operating devices like the ballistic rectifier and self-switching diode, achieving up to 1.5 THz speeds. Collaborations span EU Framework Projects and industry partnerships. Key achievements include over 215 publications in journals like Nature Communications and 4 completed EU-funded projects. His students have won prestigious awards such as Rolls-Royce prizes and Best Conference Paper Awards. Current research emphasizes wearable electronics, energy harvesting, and THz imaging applications. Labs/Teams: Leads the Nanoelectronics Research Group, contributing to the Institute for Data Science and AI. Active in developing printed electronics through spin-off company Nano ePrint Ltd.

Eloy De Lera AcedoView profile

Associate Professor

• Cosmology
• Radio Astronomy
• Early Universe Studies
• +4 more

Eloy De Lera Acedo is an Associate Professor at the Cavendish Laboratory of the University of Cambridge, leading the Radio Astronomy and Cosmology research group. He specializes in studying the early Universe, focusing on the Dark Ages, Cosmic Dawn, and Epoch of Reionization through observations of the redshifted 21-cm line. His work includes technical advancements for radio telescopes like the Square Kilometre Array (SKA) and the HERA experiment, as well as leading the REACH radiometer and CosmoCube space mission. He holds roles on the HERA Executive Board and serves as international PI for these projects. Dr. De Lera Acedo holds a PhD and has contributed extensively to instrumentation development, including antenna array design, calibration techniques, and machine learning applications in radio astronomy. His research bridges theoretical cosmology with practical observational challenges, emphasizing technological innovation for next-generation telescopes. His publications focus on 21-cm signal analysis, mutual coupling mitigation in arrays, Bayesian methods for data interpretation, and interdisciplinary collaborations with missions like JWST. Projects like the CosmoCube aim to detect 21-cm signals from lunar orbit, while REACH focuses on ground-based global spectrum experiments. Advising and grants are tied to large-scale international initiatives, with expertise in securing funding for multi-institutional projects. His involvement in SKA development and HERA’s Phase II highlights leadership in collaborative astrophysics research.

Lei GuoView profile

Research Fellow

• Medical Imaging
• Microwave Engineering
• Biomedical Engineering
• +3 more

Dr. Lei Guo is a UQ Amplify Fellow at the School of Electrical Engineering and Computer Science, University of Queensland. His expertise spans medical imaging, microwave engineering, and biomedical applications. Dr. Guo holds a PhD and Master's in Electrical Engineering from UQ. His research focuses on advanced imaging techniques, including microwave-based medical imaging, antenna design, and deep learning algorithms for medical diagnostics. Key contributions include developing clutter-removal methods for head imaging and optimizing antennas for torso imaging. Dr. Guo’s work bridges engineering and healthcare, with applications in stroke diagnosis and electromagnetic brain scanning. His team collaborates on projects like the clinical electromagnetic brain scanner for acute stroke monitoring. He has been recognized with the RWP King Paper Award (2016). Education: PhD in Electrical Engineering (UQ) Masters (Coursework) in Electrical Engineering (UQ) His research trends emphasize interdisciplinary approaches, combining signal processing with biomedical needs. Recent articles highlight advancements in deep learning for medical imaging and novel electromagnetic techniques for non-invasive diagnosis.

Sascha SchediwyView profile

Professor

• High-Precision Astronomy
• Space Instrumentation
• Gravitational Wave Physics
• +3 more

Sascha Schediwy is a Professor and Senior Principal Research Fellow at the International Centre for Radio Astronomy Research (ICRAR) at The University of Western Australia. His research focuses on high-precision astronomy, space instrumentation, gravitational wave physics, and coherent free-space laser links. He leads major projects including the $1.7M SmartSat CRC Research Project and the SKA-Mid Phase Synchronisation System. He is also an Associate Investigator in the ARC Centre of Excellence for Engineered Quantum Systems (EQUS). His research contributions span global initiatives like the Square Kilometre Array (SKA) and Advanced LIGO. Awards include the 2021 Australian Space Awards Academic of the Year and Excellence Award. His work integrates cutting-edge technologies such as optical frequency transfer, atmospheric turbulence mitigation, and quantum metrology. Key Projects: SKA Phase Synchronisation System, SmartSat CRC P1-01/18 Leadership: ICRAR, International Space Centre collaborations Research interests include optical ground station networks, laser communication systems, and precision measurement techniques for gravitational studies. He has published over 90 articles across astronomy, optics, and engineering. Scientific Awards: 2021 Excellence Award, 2017 ngVLA Community Study Award Grants: $1.7M SmartSat CRC Project, SKA-related funding Labs/Teams: Leading teams in ICRAR, collaborating with global institutions on SKA and laser link innovations.

• Magnetic Resonance Imaging (MRI)
• RF Engineering
• Medical Imaging Technology
• +3 more

Dr. Shajan Gunamony is the Head of MRI RF Engineering at the University of Glasgow's School of Psychology & Neuroscience. His work focuses on advancing MRI technology, particularly in RF engineering, coil design, and high-field MRI systems. He leads projects involving parallel transmit arrays, SAR management, and neurovascular imaging at 7T and higher field strengths. Grants & Awards: UKRI National facility for 11.7T human MRI (2024–2028) Wellcome Trust 7T Neurovascular Imaging Development (2021–2023) EU Living Lab Precision Medicine (2020–2025) Research Interests: Dr. Gunamony's research emphasizes cutting-edge MRI technology, including RF coil optimization, high-field imaging applications, and clinical translation. His contributions span from hardware development to biophysical modeling, with a focus on improving spatial resolution and safety in neuroimaging. Teams: Collaborates with interdisciplinary teams including physicists, clinicians, and engineers. Supervises research in MRI RF systems and leads the Glasgow MRI engineering group.

Tameem AlbashView profile

Adjunct Assistant Professor

• Quantum Computing
• Quantum Annealing
• Adiabatic Quantum Computation
• +3 more

Tameem Albash is an Adjunct Assistant Professor (Research) in the Department of Physics and Astronomy at the University of Southern California. He holds a Ph.D. in Physics (USC, 2010) and a B.S. in Electrical and Computer Engineering from Cornell University (2005). His postdoctoral research includes roles at the Information Sciences Institute (USC) and the University of Southern California. His research focuses on quantum computing, specifically quantum annealing, adiabatic quantum computation, and error correction mechanisms. He also explores theoretical physics topics like holography and condensed matter systems involving magnetic fields and superconductivity. His work bridges quantum information theory with practical implementations in quantum hardware. Key contributions include studies on quantum annealing correction protocols, tunneling phenomena in optimization problems, and decoherence effects in adiabatic systems. His publications span high-impact journals like Phys. Rev. A, Nature Communications, and Journal of High Energy Physics. No specific grants, awards, or student advisement are explicitly listed in the provided information. His affiliations emphasize active research in quantum technologies and theoretical physics collaborations.

Jiasheng HongView profile

Professor

• RF/Microwave Device Technologies
• Antenna Design
• Filter Design
• +3 more

Prof. Jiasheng Hong is a Professor of Electrical, Electronic, and Computer Engineering at Heriot-Watt University, Edinburgh, where he leads the Microwaves & Antenna Engineering Group. He holds a D.Phil. from the University of Oxford (1994) and has extensive experience in microwave engineering, including roles at the University of Birmingham and Heriot-Watt University. His research focuses on advanced RF/microwave devices, including antennas, filters, and novel materials like liquid crystal polymer (LCP), RF MEMS, and high-temperature superconductors. He has authored/co-authored over 200 papers and two seminal books on microwave filter design. Prof. Hong serves as a Subject Editor for IET Electronics Letters and Associate Editor for multiple IEEE and IET journals. His work emphasizes 3D-printed microwave components, wideband filters, and integrated systems for wireless communications and radar applications. His team’s innovations include self-packaged filtering antennas, compact waveguide filters, and multi-band systems leveraging metamaterials and additive manufacturing.

Yuan DingView profile

Associate Professor

• Wireless Communications
• Directional Modulation
• Antenna Design
• +2 more

Dr. Yuan Ding is Associate Professor at Heriot-Watt University's School of Engineering & Physical Sciences, specializing in directional modulation, antenna design, and RF systems within the Institute of Sensors, Signals & Systems. Research advances wireless communication security through directional modulation techniques, with focus on RF fingerprinting, backscatter communication, and integrated sensing-communication systems. Recent work explores quantum-enhanced security and mmWave implementations. Publications demonstrate leadership in directional modulation research, with contributions to antenna array design, physical layer security, and nonlinear transmitter modeling. Work bridges theoretical concepts with practical RF hardware implementations.