جست‌وجوی استاد و پژوهشگر

• Photonics
• Neuromorphic Engineering
• Optical Communications
• +۵ مورد دیگر

Paul Prucnal is a Professor of Electrical and Computer Engineering at Princeton University, affiliated with the Princeton Materials Institute (PMI). He leads the Lightwave Communications Research Lab, focusing on ultrafast optical techniques for communication networks and neuromorphic photonics. His research spans optical security, CDMA networks, nonlinear signal processing, and photonic neurons. Education: Ph.D., Columbia University (1979) M.Phil., Columbia University (1978) M.S., Electrical Engineering, Columbia University (1976) A.B., Bowdoin College, summa cum laude (1974) Research Interests: Optical Network Security (eavesdropping/jamming countermeasures) Optical CDMA for broadband networks Silicon photonic neuromorphic computing RF interference cancellation in wireless systems Photonic spiking neurons mimicking biological organisms Awards: National Academy of Inventors Fellow (2017) 10+ teaching awards including Princeton's President's Award (2015) OSA/IEEE Fellowships (1992, 1997) Labs/Teams: Leads the Lightwave Communications Lab, collaborating with government/industry partners. Lab alumni like Prof. Bhavin Shastri have achieved international recognition. Grants/Publications: Over 350 journal papers, 22 U.S. patents. Authored/co-authored Neuromorphic Photonics (2017) and edited Optical Code Division Multiple Access (2019). Current projects include photonic tensor processors and real-time RF signal processing.

Dimitra Psychogiouمشاهده پروفایل

استاد

• Microwave Engineering
• RF Filters
• Millimeter-wave Technology
• +۴ مورد دیگر

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.

• RF Integrated Circuits
• Analog and Digital IC Design
• Wireless Communication Systems
• +۳ مورد دیگر

Sayfe Kiaei is a Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU), where he also directs the Connection One Center, an NSF I/UCRC Center. He holds the Motorola Chair in Analog and RF Integrated Circuits. Previously, he served as a professor at Oregon State University (1987–1993) and worked at Motorola’s Wireless Technology Center (1993–2001), contributing to wireless communications and broadband systems. Education: Ph.D. in Electrical and Computer Engineering from Washington State University (1987). Research focuses on RF/analog/digital integrated circuits, transceiver design, sensors, and power management. His work is funded by agencies like DARPA, NSF, DOE, and industrial partners. Key achievements include establishing two Industry-University Cooperative Research Centers (CDADIC and Connection One) and over 200 publications. He is an IEEE Fellow and has led technical committees for major conferences (RFIC, ISCAS, MTT). Industry collaborations span companies like Intel, Samsung, Texas Instruments, and Motorola, with expertise in 3G-4G wireless, bioelectronics, Bluetooth, GPS, and MEMS sensors. Awards include IEEE Fellow status (2002–present) and leadership roles in IEEE editorial and conference committees. Grants and projects include the NSF I/UCRC for Power Management Circuits, DARPA-funded research, and international initiatives like the Pakistan Centers for Advanced Studies in Energy. His lab develops cutting-edge technologies in full-duplex radios, MEMS-based sensors, and energy-efficient IC design.

• RF IC Design
• Mixed-Signal IC Design
• Wireless Communication Systems
• +۴ مورد دیگر

Bertan Bakkaloglu is the On Semiconductor Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU), where he has been since 2004. Prior to ASU, he worked at Texas Instruments focusing on analog, mixed-signal, and RF SoC development for communication transceivers. His research expertise spans RF and mixed-signal IC design, wireless/wireline communication systems, and broadband communication systems. Education: Ph.D. in Electrical Engineering, Oregon State University (1995) M.S.C. in Electrical Engineering, University of Houston (1992) Research Interests: RF and mixed-signal integrated circuits Power management ICs (including LDO regulators and DC-DC converters) High-efficiency power delivery systems Radiation-hardened electronics for space applications MEMS-based sensor systems Biomedical circuits for implantable devices Grants & Collaborations: Over 40+ funded research projects with institutions like NASA/JPL, BAE Systems, and NSF, focusing on power electronics, space systems, and biomedical applications Key projects include radiation-hardened converters, self-calibrating DACs, and implantable medical device circuits Industry partnerships with Texas Instruments, Space Micro, and FLIR Professional Activities: Technical committee member for IEEE Radio Frequency Integrated Circuits Conference Founding chair of IEEE Solid-State Circuits Society Phoenix Chapter

• Array Antennas
• Millimeter-Wave Communication
• Antenna Integration with Electronics
• +۴ مورد دیگر

Marianna Ivashina is a Professor and Head of the Antenna Systems Research Group at Chalmers University of Technology's Department of Electrical Engineering . Her work focuses on array antennas , antenna integration with electronics , optimal beamforming , and over-the-air measurement methods . The group has achieved international recognition for innovations in ultra-wideband (UWB) feeds , Gap waveguide antennas , and Doherty-power-amplifier-integrated antennas for 5G/6G and radio telescope applications. Key projects include the SSF Sweden-Taiwan collaboration , EU Horizon 2020 MyWave , and VINNOVA ENERGETIC initiatives. Her recent publications emphasize millimeter-wave (mmWave) communication and reconfigurable intelligent surfaces (RIS) , with applications in 5G/6G networks , satellite communication (SatCom) , and advanced antenna testing chambers . She explores beamforming optimization , self-interference mitigation , and hybrid OTA environments to enhance wireless system performance. The group's work bridges theoretical advancements with practical implementations, including RFSoC testbeds and high-efficiency antenna arrays . Marianna leads major research programs funded by Ericsson , VINNOVA , and EUREKA EURIPIDES2 , addressing challenges in beamforming , antenna-IC integration , and automated design for 5G/6G . These projects highlight her role in advancing millimeter-wave communication and sensor integration technologies.

Andreas Peter Burgمشاهده پروفایل

دانشیار

• Circuits and systems for telecommunications
• Silicon implementation of communication technologies
• Communication algorithms optimization
• +۵ مورد دیگر

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.

Dimitrios Anagnostouمشاهده پروفایل

دانشیار

• Antennas
• Microwave Components
• Electromagnetics
• +۷ مورد دیگر

Dr. Dimitrios Anagnostou is an Associate Professor at Heriot Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems (ISSS). He holds a Marie Skłodowska-Curie Fellowship and leads research in reconfigurable antennas, metamaterials, and biomedical sensing. He earned his PhD from the University of New Mexico (2005), followed by postdoctoral work at Georgia Tech and faculty roles at SDSMT before joining Heriot Watt in 2016. His research focuses on electromagnetic devices for aerospace, defense, and healthcare applications, including reconfigurable antennas, metamaterials, and AI-driven radar systems. He has published 169 papers and received 15+ awards, including the IEEE John D. Kraus Antenna Award and DARPA Young Faculty Award. Dr. Anagnostou serves as an Associate Editor for IEEE Transactions on Antennas and Propagation and actively contributes to conference committees. His lab specializes in antenna arrays, radar sensing, and functional materials like vanadium dioxide (VO₂). He supervises PhD students and supports interdisciplinary projects in sustainable RF electronics and medical imaging.

Alan Mantoothمشاهده پروفایل

استاد

• Analog and Mixed-Signal IC Design
• Power Electronics
• Semiconductor Device Modeling
• +۳ مورد دیگر

Alan Mantooth is a Distinguished Professor holding the Twenty-First Century Research Leadership Chair in Engineering within the Department of Electrical Engineering at the University of Arkansas, Fayetteville. He serves as Director of the National Center for Reliable Electric Power Transmission (NCREPT), Executive Director for GRAPES (NSF I/UCRC) and SEEDS (DoE Center), and Deputy Director of the NSF Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS). His educational background includes: B.S. in Electrical Engineering, University of Arkansas M.S. in Electrical Engineering, University of Arkansas Ph.D. in Electrical Engineering, Georgia Institute of Technology Dr. Mantooth's research centers on analog/mixed-signal IC design, power electronics CAD, and semiconductor device modeling with emphasis on harsh-environment applications. His pioneering work in silicon carbide (SiC) and gallium nitride (GaN) power systems has enabled high-temperature operation for electric vehicles and renewable energy infrastructure, significantly advancing reliability in extreme conditions. His 2025 publications reveal strong trends toward AI-driven power electronics (e.g., SolarFormer++ for PV profiling), wide-bandgap device modeling (β-Ga2O3, SiC), and innovative packaging solutions. Key themes include reliability engineering for extreme environments, multi-physics optimization, and explainable AI for safety-critical power systems. Major scientific recognition includes: IEEE Fellow (2009) for power electronic device modeling Three R&D 100 Awards (2009, 2014, 2016) for SiC power modules IEEE Power Electronics Society Technical Achievement Award (2019) Multiple university teaching/research awards including SEC Faculty Achievement Award (2015) As an exceptional mentor (UA Outstanding Mentor 2006-2008), he co-founded Lynguent and Ozark Integrated Circuits. His centers NCREPT, GRAPES, and SEEDS have secured major funding from NSF, DoE, and industry partners, supporting over 350 refereed publications and numerous patents. Current research focuses on AI-enhanced power electronics, recyclable packaging, and next-generation wide-bandgap device characterization. He leads the NCREPT test facility and multi-institutional teams developing grid-connected power electronic systems, secure energy delivery architectures, and thermal management solutions for high-power-density applications, with direct impact on electric transportation and renewable energy integration.

Liang Dongمشاهده پروفایل

دانشیار

• Signal Processing
• Wireless Communications
• Cyber-Physical Systems
• +۱۲ مورد دیگر

Dr. Liang (Leon) Dong is an Associate Professor in the Department of Electrical and Computer Engineering at Baylor University, where he conducts research and teaches in the areas of signal processing, wireless communications, and artificial intelligence. He leads the Laboratory of Signal Processing, Communications, and Artificial Intelligence, fostering innovation in next-generation communication systems, IoT, and AI-driven applications. PhD, Electrical & Computer Engineering, The University of Texas at Austin (2002) MS, Electrical & Computer Engineering, The University of Texas at Austin (1998) BS, Applied Physics with Minor in Computer Engineering, Shanghai Jiao Tong University (1996) Dr. Dong's research focuses on advancing digital signal processing and wireless communications, with strong emphasis on artificial intelligence applications. His work spans NextG wireless systems , IoT and smart cities , cyber-physical system security , and AI in healthcare and industrial automation . He applies deep learning to domains such as autonomous driving and drug discovery, and investigates energy-efficient, secure, and reliable communication protocols. The recent publications highlight a strong trend toward integrating AI into traditional signal processing and communications. Topics include mRNA vaccine stability prediction , smart city infrastructures , secure cyber-physical systems , and deep learning for biomedical and industrial applications . His work bridges theoretical innovation with real-world impact in defense, transportation, and public health. Dr. Dong has earned recognition as a Senior Member of IEEE and a Member of the American Physical Society. He has also served as Faculty Advisor for Baylor University's InterVarsity chapter. Senior Member, Institute of Electrical and Electronics Engineers (IEEE) Member, American Physical Society (APS) He has successfully advised numerous graduate and undergraduate students, many of whom now hold academic and industry positions at institutions like Stanford, Intel, NASA, L3Harris, and Cummins. His research is generously supported by Baylor's VP for Research, the National Science Foundation, NASA, the Department of Defense (TARDEC), the Michigan Department of Transportation, and industry leaders including Intel, L3Harris, ExxonMobil, and Denso. He actively mentors students through research assistantships and senior design projects. Dr. Dong leads the Laboratory of Signal Processing, Communications, and Artificial Intelligence, which provides a collaborative environment for advancing research in signal processing, communications, and AI. The lab supports graduate and post-doctoral researchers and offers opportunities for undergraduate involvement in AI programming, circuit design, and embedded systems.

Reza Abdolvandمشاهده پروفایل

استاد

• MEMS/NEMS
• Micro-resonators
• Resonant Sensors
• +۵ مورد دیگر

Reza Abdolvand is a Professor in the Department of Electrical and Computer Engineering at the University of Central Florida (UCF), affiliated with the College of Engineering and Computer Science (CECS). He holds a Ph.D. in Electrical Engineering from Georgia Institute of Technology (2008). His research focuses on Micro- and Nano-Electromechanical Systems (MEMS/NEMS), resonant sensors, ultrasonic bio-fluid analysis, and infrared sensing. He leads projects funded by the NSF and industry collaborators, including low-loss piezoelectric filters for telecommunication and thermoelectric infrared sensors. Education: Ph.D., Electrical Engineering, Georgia Tech (2008) Affiliations: UCF, Department of ECE; CECS, College of Engineering Dr. Abdolvand's research interests emphasize micro-resonators for timing/data processing, acoustoelectric signal processing, and MEMS-based wireless sensors. His recent projects include ultra-stable MEMS oscillators and ultrasonic bio-fluid sensors, addressing challenges in miniaturization, thermal stability, and phase noise reduction. He has authored over 100 publications and holds 12 U.S. patents. His work bridges fundamental materials science and applied engineering, with applications in telecommunications, biomedical diagnostics, and energy-efficient systems. Notable achievements include membership in the National Academy of Inventors since 2013 and pioneering contributions to piezoelectric-semiconductor hybrid devices. Grants & Projects: NSF-funded low-loss piezoelectric filter arrays Nano-engineered thermoelectric infrared sensors (NSF/Amethyst Inc.) His lab, the Dynamic Microsystems Laboratory (DML), develops cutting-edge MEMS technologies for sensing, actuation, and signal processing. Current research trends include acoustoelectric amplification, phonon-electron coupling for energy scavenging, and ultra-stable resonators for precision timing.

• Photonics
• Microwave Photonics
• Integrated Photonics
• +۵ مورد دیگر

Kaixuan Ye is a Researcher at the Nonlinear Nanophotonics Group within the MESA+ Institute, specializing in integrated photonics and nonlinear optical phenomena. Current work focuses on advancing Brillouin scattering applications in thin-film platforms for microwave photonic systems. Research interests center on photonics with emphasis on Brillouin scattering , thin-film lithium niobate , silicon photonics , and microwave photonic circuits . Key contributions include developing programmable integrated filters, RF front-ends with cascaded functions, and novel waveguide designs for enhanced acousto-optic interactions in non-suspended platforms. Recent publications (2024-2025) reveal a concentrated research trajectory toward practical implementations of Brillouin-based devices in lithium niobate and silicon photonics. Dominant themes include integrated microwave photonic circuits , notch filtering , true time delay systems , and ultra-low-loss waveguide engineering , demonstrating significant progress in dynamic range and noise reduction for telecommunications applications. Kaixuan Ye actively participates in the research ecosystem through dataset contributions to 4TU.Centre for Research Data and conference presentations at major photonics events, including CLEO 2024. Collaborative work frequently involves the Marpaung research group and international partners in developing next-generation photonic integrated circuits. The Nonlinear Nanophotonics Group provides the operational framework for experimental work, utilizing advanced fabrication facilities for thin-film lithium niobate and silicon photonics platforms. Current activities focus on surface acoustic wave Brillouin scattering and guided-acoustic implementations in photonic circuits.

Tobias Kögelمشاهده پروفایل

پژوهشگر

• Radar Localization
• Radar Signal Processing
• Software Defined Radio
• +۵ مورد دیگر

Tobias Kögel is a doctoral candidate and researcher at the Institute of Microwaves and Photonics (LHFT) within the Department of Electrical-Electronic-Communication Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His work focuses on advanced radar systems, signal processing, and RF technologies. Kögel holds an M.Sc. in Electrical Engineering and Information Technology (EEI) and has been actively engaged in research since 2020. His research interests span radar localization, radar signal processing in FPGAs, software-defined radio, switched injection-locked oscillators (SILOs), and UHF-RFID systems. He seeks students for projects involving hardware development, FPGA programming (VHDL/Verilog), and Python-based simulation of radar algorithms using Kalman filters. Kögel has contributed to over a dozen peer-reviewed publications since 2019, addressing topics like bistatic radar networks, time-frequency synchronization, and hybrid RFID-odometry localization. His work frequently appears in IEEE journals and conferences such as IEEE Radar Conference and International Microwave Symposium. He advises students on hardware design, FPGA implementation, and algorithm development. His lab (LHFT) focuses on microwave photonics, radar systems, and RFIC design.

Edward Gebaraمشاهده پروفایل

دانشیار

• Radiation-tolerant electronics
• Extreme temperature integrated circuits
• Self-healing integrated circuits
• +۴ مورد دیگر

Dr. Edward Gebara is an Associate Professor of Electrical and Computer Engineering at Michigan State University's College of Engineering. His expertise spans radiation-tolerant electronics, extreme-temperature integrated circuits, and self-healing mixed-signal techniques. He holds B.S., M.S., and Ph.D. degrees in Electrical and Computer Engineering from Georgia Institute of Technology (1996–2003). Research Interests: Radiation-tolerant electronics for aerospace Extreme temperature environment circuits Self-healing and reconfigurable ICs Wireless cancellation and signal integrity solutions Professional Activities: Former Director of Engineering at Electromagnetic Sensor Technologies Inc. (2011–2023) Adjunct Assistant Professor at Georgia Tech (2010–2011) IEEE MTT-S Symposium roles: Vice Chair (2010–2012), Technical Committee Chair (2018–2021), and Workshop Chair (2021) Awards: Best Paper Award at IEEE International Microwave Symposia (2000) Grants & Advising: Directed Ph.D. students in mixed-signal and microwave systems Led industry-academia collaborations in GaAs/GaN technologies Labs & Teams: Mixed-Signal Research Group at Georgia Tech (2003–2011) Electromagnetic Sensor Technologies R&D team

• Radar Systems
• Electronics
• Photonics
• +۳ مورد دیگر

Emil Nilsson is a Senior Lecturer at the School of Information Technology, Halmstad University, Sweden, specializing in radar systems and electronics for interference-free applications in automotive and industrial contexts. His research integrates Photonics, Electronics, and Nanotechnology to solve real-world implementation challenges. Nilsson's research focuses on Radar Systems, Electronics, and Nanotechnology with emphasis on automotive radar reliability under environmental stressors like dust and moisture. His work addresses interference mitigation, advanced antenna design using 3D printing, and radar-communication (RadCom) integration for vehicular applications, demonstrating strong industry relevance through practical system implementations. Analysis of his 15 most recent publications (2011-2025) reveals three dominant research trajectories: automotive radar resilience (70% of works), interference mitigation strategies (55%), and innovative hardware solutions using additive manufacturing (30%). His publications consistently bridge theoretical signal processing with industrial applications, particularly in automotive safety systems and industrial process monitoring. He actively contributes to Halmstad University's Photonics, Electronics and Nanotechnology research group, focusing on next-generation radar communication systems for autonomous vehicles and industrial IoT applications through electromagnetic compatibility testing and advanced sensor development.

• Wireless Communications
• Signal Processing
• MIMO Systems
• +۵ مورد دیگر

Hen-Geul Yeh is an active professor and researcher with a distinguished career spanning nearly four decades in electrical engineering and communications systems. With publications dating from 1986 to the present (2025), Yeh has established expertise in wireless communications, signal processing, and power systems applications. Yeh's research interests encompass wireless communications, signal processing, MIMO systems, OFDM systems, intercarrier interference cancellation, smart grid applications, electric vehicle charging systems, and artificial intelligence applications in communications. The research demonstrates a consistent evolution from foundational signal processing work to contemporary applications in smart grid and 5G/6G communications. Recent publications (2023-2025) reveal a strong focus on practical applications including EV charging infrastructure, UAV communications, fault detection systems, and green communication technologies. The work shows increasing integration of machine learning techniques with traditional signal processing approaches, particularly reinforcement learning for dynamic system optimization. Yeh has established longstanding collaborations with researchers including Donald C. D. Chang, Joe Lee, and Yu Yang, resulting in numerous co-authored publications across IEEE journals and conferences. The research output demonstrates consistent productivity with multiple publications per year, including several in top-tier IEEE journals. Current research directions emphasize sustainable technologies, with significant work on photovoltaic integration, electric vehicle infrastructure, and energy-efficient communication systems that address contemporary challenges in power and communications infrastructure.