جست‌وجوی استاد و پژوهشگر

Said Abushamlehمشاهده پروفایل

دانشیار

• Electrical Engineering
• Microwave and RF Engineering
• Antenna Design
• +۳ مورد دیگر

Dr. Said Abushamleh is an Associate Professor of Electrical Engineering at Indiana Tech's Talwar College of Engineering and Computer Sciences. He teaches courses such as Circuits I/II, Electromagnetic Fields & Waves, Microwave Engineering, and Digital System Design. His academic advising focuses on Electrical Engineering and Robotics/Mechatronics Engineering students. He holds a Ph.D. in Electrical Engineering from the University of Arkansas at Little Rock (2015), an M.S. in Wireless Communications from Lund University (2009), and a B.S. in Electrical and Computer Engineering from Hashemite University (2007). Dr. Abushamleh's research interests span antenna systems, RF engineering, wireless communications, and microwave design. His work emphasizes antenna miniaturization, power divider optimization, and high-frequency circuit solutions. Recent publications explore topics like 5G channel modeling, substrate integrated waveguide filters, and decoupling techniques for MIMO antennas. He actively contributes to IEEE conferences and serves as an advisor to the IEEE Student Chapter at Indiana Tech. His research has been presented at venues such as the IEEE International Symposium on Antennas and Propagation and the Applied Computational Electromagnetics Society Conference. Notable contributions include advancements in power divider designs using Fourier-based modulation, compact antenna structures with ledge edges, and innovative crosstalk mitigation strategies for PCB traces. His work bridges theoretical electromagnetics with practical applications in telecommunications and wearable electronics.

• VLSI Design
• Integrated Circuits
• Computer Architecture
• +۶ مورد دیگر

Xiaoyang Zeng is a Professor at Tsinghua University's School of Information Science and Technology, Institute of Microelectronics, with an extensive research portfolio in VLSI design, integrated circuits, and hardware acceleration systems. With over 429 publications spanning from 2005 to 2025, Professor Zeng maintains an exceptionally active research program, particularly evident in the high publication volume in recent years (45 papers in 2024 and 28 projected for 2025). His collaborative network includes prominent researchers such as Yibo Fan, Jun Han, Xu Cheng, and Xiaoyong Xue. Professor Zeng's research focuses on cutting-edge areas including Compute-in-Memory architectures, neuromorphic computing, low-power circuit design, and hardware acceleration for AI applications. His work bridges theoretical innovation with practical implementation, as evidenced by numerous publications in top-tier IEEE journals including the Journal of Solid-State Circuits, Transactions on Circuits and Systems, and Transactions on VLSI Systems. Recent work demonstrates particular strength in RRAM-based CIM accelerators, energy-efficient converters, and advanced signal processing techniques. The publication trends show a strategic evolution from traditional circuit design toward emerging computing paradigms, with increasing focus on AI hardware acceleration, neuromorphic systems, and energy-efficient computing solutions. His research group has developed innovative approaches to address challenges in memory-centric computing, analog circuit design, and hardware implementation of machine learning algorithms, with applications spanning consumer electronics, medical devices, and edge computing systems. Selected Scientific Awards: IEEE Journal of Solid-State Circuits Best Paper Award (2022) National Natural Science Award of China (Second Class, 2020) IEEE Asian Solid-State Circuits Conference Best Paper Award (2019) Professor Zeng has successfully advised numerous graduate students who have become active contributors in the field, with several now leading their own research projects. His research has been supported by multiple national-level grants from the National Natural Science Foundation of China and the Ministry of Science and Technology, focusing on next-generation computing architectures and advanced circuit design methodologies. The research group maintains strong industry connections with leading semiconductor companies for technology transfer and practical implementation of research outcomes.

Gilles CHARDONمشاهده پروفایل

دانشیار

• Signal Processing
• Acoustics
• Electrical Engineering
• +۵ مورد دیگر

Gilles CHARDON is an Associate Professor at CentraleSupélec and a member of the Laboratoire des Signaux et Systèmes (L2S). His research focuses on inverse problems in acoustics, sparsity-based methods, and compressed sensing. He holds a PhD in Acoustics from Pierre and Marie Curie University (2012) and an HDR (Habilitation) in 2025. His work includes contributions to acoustic source localization, radar emitter classification using optimal transport, and algorithmic developments for large-scale problems. **Education**: École Polytechnique (2005–2009) Telecom ParisTech (2008–2009) Master in Acoustics, Music, and Signal Processing (ATIAM) (2008–2009) PhD in Acoustics from UPMC (2009–2012) **Research Interests**: Acoustic imaging and sparse signal processing Radar signal analysis and optimal transport applications Source localization and covariance matrix fitting **Notable Contributions**: Development of the DAMAS algorithm for acoustic source localization Work on compressive beamforming and gridless methods Publications in IEEE Transactions, Journal of Sound and Vibration, and top conferences like GRETSI and EUSIPCO **Students**: Supervised PhD/Master students including Pierre Avital, Manon Mottier, Emilien Boizard, and Sarah Roual.

Sylvie MARCOSمشاهده پروفایل

پژوهشگر

• Signal Processing
• Radar Systems
• Machine Learning
• +۶ مورد دیگر

Sylvie MARCOS is a Senior Researcher at CentraleSupélec, France, affiliated with the Laboratoire des Signaux et Systèmes (L2S). She holds a PhD in Telecommunications (1987) and an HDR in Signal Processing (1995) from the University of Paris-Sud. Her research focuses on signal processing, radar systems, machine learning applications in environmental monitoring, and chaotic sequence generation for telecommunications. She has supervised numerous doctoral students and co-authored over 50 publications in high-impact journals and conferences. Education: Engineer, Ecole Centrale de Paris (1984) PhD in Telecommunications, University of Paris-Sud (1987) Habilitation à Diriger des Recherches (HDR), University of Paris-Sud (1995) Research Interests: Time series analysis and anomaly detection Radar signal processing and LPI radar detection Chaotic sequences for MIMO radar and CDMA systems High-resolution source localization and sparsity-based methods Adaptive filtering and neural network applications Her recent work emphasizes environmental monitoring using machine learning and deep learning techniques, as well as robust radar systems design. She collaborates with institutions like CEA-DAM Valduc and Onera on defense-related signal processing challenges. Grants/Projects: Active involvement in European and national research projects on radar systems, environmental signal processing, and sparse signal recovery. Labs/Teams: Member of L2S research groups MODESTY, COMEDY, and SYCOMORE, focusing on systems modeling and robust control.

Syed Ali Hamzaمشاهده پروفایل

استادیار

• High Resolution Imaging Radar
• RF Sensing
• American Sign Language (ASL) Recognition
• +۱۱ مورد دیگر

Syed Ali Hamza, PhD, is an Assistant Professor in the Department of Electrical Engineering at Widener University’s School of Engineering. His research focuses on radar sensing, signal processing, and machine learning applications in self-driving cars, healthcare, and communication systems. He holds a PhD in Electrical Engineering from Villanova University (2020). Education : PhD in Electrical Engineering, Villanova University (2020) Research Interests : Hamza’s work addresses challenges in high-resolution radar imaging for autonomous vehicles, RF sensing for healthcare monitoring (e.g., fall detection, remote patient monitoring), and optimizing radar-communication coexistence via AI-driven solutions. His technical contributions include sparse array design, cognitive radar systems, and adaptive beamforming for 6G networks. Grants & Awards : 2024: National Science Foundation (NSF) Engineering Research Initiation Grant ($200,000) for cognitive radar/communication systems research Teaching & Mentorship : Hamza emphasizes hands-on learning in courses like RF systems design and signal processing. He mentors students in lab-based projects involving radar prototypes and AI algorithms, supported by NSF-funded initiatives. Labs & Collaborations : His lab at Widener develops radar systems for automotive safety and healthcare applications, leveraging machine learning to enhance signal detection accuracy in noisy environments.

Jan Bergmanمشاهده پروفایل

پژوهشگر

• Antenna Engineering
• Antenna Arrays
• Microwave Engineering
• +۳ مورد دیگر

Jan Bergman is a Doctoral Researcher at the Department of Electronics and Nanoengineering, School of Electrical Engineering, Aalto University. He is part of the Ville Viikari Group, focusing on advanced antenna design and related technologies. His research interests include antenna engineering, antenna arrays, microwave engineering, and wireless communication systems. Jan holds a Master's degree in Engineering and Technology from Aalto University (2022) and a Bachelor's degree in the same field (2020). His research interests span antenna engineering, with a focus on antenna arrays, parasitic scatterers, phased arrays, and metallic structure applications. He explores topics such as waveguide systems, measurement data analysis, and component optimization. His work contributes to advancements in microwave engineering and wireless communication technologies. Bergman's recent publications (2020–2025) concentrate on antenna design innovations, including Bluetooth antennas for smartwatches, aperture-coupled Vivaldi arrays, and transmitarray characterization. His research emphasizes practical applications in wearable devices and high-frequency communication systems, addressing challenges in performance optimization and structural design. Scientific Awards: No awards explicitly mentioned. Advising & Grants: No advising or grant information is provided. He is affiliated with the Ville Viikari Group at Aalto University, contributing to collaborative research in antenna systems and microwave engineering.

• Optical Communications
• Photonic Systems
• Signal Processing
• +۲ مورد دیگر

Roger Green is a Professor in Electronics (Communications) at the School of Engineering, University of Warwick. He is affiliated with the Connected Systems Group and the Advanced Imaging and Measurement Laboratory. His research focuses on photonic systems, optical wireless communications, and signal processing, with contributions to 3D optoelectronic components and underwater communication systems. He has supervised 68 PhD students and holds patents that led to spin-off companies Shibden Limited and Optical Antenna Solutions. Dr. Green's research interests include photonic systems, optical wireless networks, and signal processing applications. His work addresses challenges in underwater communication, vehicular networks, and energy-efficient security protocols. Recent projects involve hybrid optical/acoustic underwater links and distortion correction in visible light communication systems. His articles span topics like adaptive security schemes, underwater beam refraction, and MIMO indoor optical systems. He has contributed to conferences such as ICTON and GLOBECOM, focusing on optical wireless applications and network coding. Grants include EPSRC-funded research on near-infrared techniques for structural health monitoring and collaborations with industry partners like Thales and FTI Communication Systems. Awards: None explicitly listed. Lab affiliations include the Connected Systems Group and Advanced Imaging and Measurement Laboratory. His work emphasizes interdisciplinary collaboration, with projects addressing defense, telecommunications, and environmental monitoring needs.

Daciana Iliescuمشاهده پروفایل

دانشیار

• Precision measurements using optical techniques
• Flow visualisation
• Particle Image Velocimetry
• +۷ مورد دیگر

Dr. Daciana Iliescu is an Associate Professor at the School of Engineering, University of Warwick, and serves as Admissions and Widening Participation Manager. Her research focuses on precision optical measurements, biomedical imaging, and flow visualization, complemented by expertise in opto-electronics and information engineering. She has contributed to interdisciplinary projects involving sensor technology, biomedical informatics, and fuzzy logic-based risk assessment. Her teaching spans LabVIEW/Matlab, multimedia communications, and internet engineering. Key research projects include potato storage disease detection using gas sensors and bone investigation via optical methods. She has secured grants from AHDB, European Commission, and EPSRC for projects like EUPHOROS and BIOD. Her work bridges engineering and applied sciences, emphasizing practical solutions for food security, medical diagnostics, and sensor innovation. Publications span optical engineering, biomedical informatics, and fluid dynamics, showcasing her versatility across disciplines. She oversees admissions strategies to enhance diversity in engineering education.

Philip Fergusonمشاهده پروفایل

دانشیار

• Satellite guidance and control
• CubeSats
• Drone control and navigation
• +۳ مورد دیگر

Dr. Philip Ferguson is an Associate Professor of Mechanical Engineering and Magellan Industrial Research Chair at the University of Manitoba's Price Faculty of Engineering. He leads the Space Technology and Advanced Research Laboratory (STARLab) and collaborates with the Centre for Earth Observation Science (CEOS). His work focuses on making aerospace technology accessible through low-cost, reliable solutions for Arctic communities and search-and-rescue operations. Dr. Ferguson holds a PhD from MIT and has industry experience with Magellan Aerospace and PrecisionHawk Inc. Education: PhD in Aerospace Engineering, MIT (2006) SM in Aerospace Engineering, MIT (2003) B.A.Sc. in Engineering Science (Aerospace Option), University of Toronto (2000) Dr. Ferguson's research spans satellite guidance, drone navigation, Arctic remote sensing, and machine learning. His projects include CubeSats for climate change monitoring, drones for search-and-rescue, and airships for Arctic communications. He emphasizes interdisciplinary collaboration to address challenges in Northern Canada and Indigenous communities. His recent articles explore fault detection in spacecraft systems, drone-based payload control, and innovative navigation algorithms. He actively recruits graduate students interested in advancing aerospace accessibility. Labs/Teams: STARLab (founded 2014), CEOS collaborations, and industry partnerships with Magellan Aerospace.

Marco Antoniadesمشاهده پروفایل

دانشیار

• Engineered electromagnetic materials (metamaterials/metasurfaces)
• Electrically-small antennas
• Adaptive/reconfigurable antennas
• +۵ مورد دیگر

Marco Antoniades is an Associate Professor in the Department of Electrical, Computer and Biomedical Engineering at Toronto Metropolitan University and Director of the Microwaves & Antennas Laboratory. He holds B.A.Sc., M.A.Sc., and Ph.D. degrees in electrical engineering from the University of Waterloo and the University of Toronto. Dr. Antoniades is a Senior Member of the IEEE, contributing actively to societies such as IEEE Antennas and Propagation Society (AP-S) and IEEE Microwave Theory and Techniques Society (MTT-S). He serves as an Associate Editor for prominent journals like IEEE Transactions on Antennas and Propagation. His research focuses on engineered electromagnetic materials (metamaterials/metasurfaces), adaptive antennas, RF/microwave circuits, and wireless power transfer. Notable achievements include awards such as the Best of IEEE Computer Architecture Letters Award (2018) and a Teaching Innovation Award (2018). Dr. Antoniades has pioneered work on reconfigurable metasurfaces, programmable antenna systems, and applications in 5G/6G communications. He holds leadership roles in IEEE committees, including the Education Committee for AP-S and the IEEE SIGHT Special Interest Group on Humanitarian Technology. His lab, the Microwaves & Antennas Laboratory, develops cutting-edge solutions for antenna technology, microwave imaging, and energy-efficient systems.

Bedri Cetinerمشاهده پروفایل

استاد

• RF/Microwave Engineering
• Reconfigurable Antennas
• MEMS Technology
• +۲ مورد دیگر

Bedri Cetiner is a Professor in Electrical and Computer Engineering at Utah State University with cross-appointments in neuroscience and microfabrication. His research develops reconfigurable antenna systems for advanced communications. Current work includes beam-steering antennas using convolutional neural networks and magnetoelectric dipole frameworks supporting orbital angular momentum modes. Research applies micro/nano fabrication techniques to create tunable RF systems for cognitive MIMO applications. Cetiner teaches electromagnetics, antenna theory, and microwave engineering courses. International recognition includes guest professorships and distinctions for Turkish scientists abroad.

Arthur Corstanjeمشاهده پروفایل

پژوهشگر

• Cosmic Ray Detection
• Radio Astronomy
• High Energy Physics
• +۷ مورد دیگر

Arthur Corstanje is a Researcher in the Department of Physics at Vrije Universiteit Brussel , specializing in cosmic ray detection using radio astronomical methods. He actively contributes to projects involving the LOFAR and Square Kilometer Array (SKA) radio telescopes. Research Focus: Cosmic ray showers, radio emission from cosmic rays, high-energy physics applications to astrophysics Email: arthur.corstanje@ru.nl Research Trends Recent work emphasizes improving radio detection techniques for ultrahigh energy cosmic rays through beamforming corrections, interpolation methods, and next-generation LOFAR/SKA instrumentation. Key collaborations include teams at Radboud University and international radio astronomy consortia. Contributions Published 25+ research outputs (2019–2024), including Physical Review D and JINST articles. His work combines beamforming, signal processing, and cosmic ray shower simulation to enhance detection precision.

• Next Generation PONs
• 5G RANs
• Optical/Wireless Convergence
• +۵ مورد دیگر

Pandelis Kourtessis is an Associate Professor at the Department of Engineering and Technology, University of Hertfordshire, affiliated with the Centre for AI and Robotics Research and the Centre for Future Societies. His primary focus is on Cognitive Networks, with research interests spanning Next Generation PONs, MAC Protocols, 5G RANs, Optical/Wireless Convergence, and SDN Cellular/Satellite IP Networks. He holds teaching specialisms in Mobile & Digital Communication Networks, Telecommunication Systems, and Optical Communication Systems. Dr. Kourtessis has led or collaborated on 32 research projects since 2004, including initiatives in Extended Reality healthcare training, AI-driven healthcare scenario modeling, and microgrid management in Ukraine. His work integrates cutting-edge technologies like Reconfigurable Intelligent Surfaces (RIS), STAR-RIS, and Terahertz communications with applications in autonomous transportation and pandemic response. His research output (112 publications) emphasizes innovative solutions for next-generation networks, including channel estimation in intelligent metasurfaces, full-duplex mMIMO systems, and hybrid federated learning architectures. He actively collaborates with global institutions and industry partners, contributing to IEEE standards and the Optical Society of America (OSA). Key technical contributions include pioneering work on stacked intelligent metasurfaces, STAR-RIS aided MIMO systems, and AI-driven healthcare monitoring. Current projects focus on optimizing 5G/6G architectures, sustainable network design, and cross-disciplinary applications of cognitive networks in societal systems.

Amir Mortazawiمشاهده پروفایل

استاد

• RF Engineering
• Microwave Circuits
• Ferroelectric Materials
• +۳ مورد دیگر

Prof. Amir Mortazawi is a Professor in the Department of Electrical and Computer Engineering at the University of Michigan. His research focuses on RF and microwave circuits, with a particular emphasis on ferroelectric materials and acoustic wave devices. He teaches courses such as Microwave Circuits (EECS 411) and advanced RF engineering topics, and advises the U-M Amateur Radio Club. His work spans reconfigurable radio frequency systems, bulk acoustic wave (BAW) resonators, and wireless power transfer. Key contributions include the development of intrinsically switchable ferroelectric filters and high-frequency acoustic devices. Research interests include RF engineering, ferroelectric materials, and applications in millimeter-wave systems. His recent work explores nonlinear resonance circuits and multiferroic devices for interference-free wireless systems. Notable projects involve BST-based FBAR filters and scalable phased array architectures. Publications highlight advancements in acoustic resonators, reconfigurable filters, and energy harvesting. His research bridges materials science with RF engineering, addressing challenges in high-frequency systems and device miniaturization.

Mauro Ettorreمشاهده پروفایل

استاد

• Applied Electromagnetics
• RF Systems
• Millimeter-Wave Antennas
• +۲ مورد دیگر

Professor of Electrical Engineering at Michigan State University. Ph.D. from University of Siena. Research focuses on millimeter-wave antennas and RF systems for satellite communications and wireless networks. Develops innovative antenna designs including metasurface-based systems and quasi-optical beamformers. Contributions include award-winning work on connected slot array antennas and frequency selective surfaces. Honored as IEEE Fellow and EurAAP Distinguished Lecturer. Holds Innovation Award from European Space Agency.