جستجوی استاد راهنمای دانشگاهی

• Semiconductor Physics
• Gallium Nitride (GaN) Electronics
• Two-Dimensional Materials
• +۶ مورد دیگر

Tomas Palacios is a Professor of Electrical Engineering at the Massachusetts Institute of Technology (MIT) , where he directs the Center for Graphene Devices and 2D Systems and leads the Microsystems Technology Laboratories (MTL). His research focuses on pushing the boundaries of microelectronics through novel semiconductor materials and device architectures, including Gallium Nitride (GaN) and 2D materials like graphene and molybdenum disulfide (MoS2). Professor, MIT Electrical Engineering and Computer Science Director, MIT Center for Graphene Devices and 2D Systems Clarence J. LeBel Professor, MIT Faculty Director, Northeast Microelectronics Internship Program (NMIP) Research Interests span multiple cutting-edge domains: High-frequency electronics (>300 GHz) for 6G and quantum applications High-voltage power devices (600V–10kV) for energy conversion Post-silicon logic devices using 2D materials High-temperature electronics (e.g., Venus rover applications) Distributed neural networks on large-area 2D materials Graphene-based biosensors and chemical detection systems Scientific Contributions include: Double recipient of the IEEE George Smith Award for groundbreaking GaN transistor work Co-invented first MoS2 electronic circuits Developed world’s first Wi-Fi-to-electricity conversion antenna Led MIT’s Microsystems Technology Laboratories since 2021 Advising Philosophy emphasizes cross-layer expertise, with students gaining experience from materials synthesis to system-level prototyping. His lab has incubated startups like Vertical Horizons , focused on GaN power devices for AI and EVs.

Gert Cauwenberghsمشاهده پروفایل

استاد

• Neuromorphic Engineering
• Biomedical Integrated Circuits
• Neural Interfaces
• +۷ مورد دیگر

Gert Cauwenberghs is a Professor of Bioengineering at the University of California San Diego (UCSD), affiliated with the Jacobs School of Engineering. He co-directs the Institute for Neural Computation and holds a visiting professorship at MIT. His research focuses on neuromorphic engineering, energy-efficient neural interfaces, and wearable biosensors. Key contributions include silicon-based adaptive neural circuits, implantable neural recording systems, and in-ear biosensing devices. Education: M.Eng. in Applied Physics (University of Brussels, 1988), M.S. and Ph.D. in Electrical Engineering (Caltech, 1989–1994). Prior roles include Professorships at Johns Hopkins University and Visiting Professor at MIT. Research Interests: Biomedical integrated circuits, neuromorphic computing, brain-machine interfaces, and energy-efficient neural systems. His work bridges neuroengineering and clinical applications, emphasizing adaptive intelligence and low-power designs. Recent Work: Development of femtojoule-efficient neural chips, high-density neural interfaces, and closed-loop wearable systems. Projects include neurobench benchmarking frameworks and RRAM-based neuromorphic hardware. Awards: NSF Career Award (1997), ONR Young Investigator (1999), PECASE (2000), IEEE Distinguished Lecturer (2003–2004). Grants & Labs: Active in NIH and DoD-funded projects, co-directs the UCSD Institute for Neural Computation. Collaborates with industry on neural interface technologies. Labs/Teams: Cauwenberghs Lab at UCSD focuses on integrated neuroengineering systems, including neural recording systems and neuromorphic computing architectures.

Nazar Aliمشاهده پروفایل

دانشیار

• Antennas
• RF Circuits and Systems
• Power Amplifiers
• +۲ مورد دیگر

Dr. Nazar Ali serves as an Associate Professor in the Department of Electrical Engineering at Khalifa University, Abu Dhabi, UAE. With over three decades of academic experience since his 1990 PhD, he maintains active roles in research, teaching, and professional leadership within the electrical engineering domain. His educational foundation includes: PhD in Electrical Engineering, University of Bradford, UK (1990) BSc in Electrical Engineering, University of Mosul, Iraq (1984) Research spans cutting-edge RF engineering with emphasis on antenna design, high-efficiency power amplifiers, and indoor localization systems. His pioneering integration of Artificial Intelligence into traditional RF frameworks addresses modern wireless communication challenges, focusing on system optimization and next-generation wireless solutions. This interdisciplinary approach bridges hardware engineering with machine learning methodologies to enhance signal processing and device performance. Professional distinctions include: Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) Internationally recognized Chartered Engineer certification Dr. Ali has mentored multiple MSc and PhD candidates through thesis supervision while teaching core electrical engineering curriculum including Applied Electromagnetics (ECCE320), Electric Circuits II (ECCE222), Electronic Circuits & Devices (ECCE312), and Microwave Circuits and Devices (ECCE316). His pedagogical approach combines theoretical rigor with practical laboratory implementation to develop industry-ready engineering competencies.

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.

Shubhra Pasayatمشاهده پروفایل

استاد

• Semiconductor Materials
• Optoelectronics
• Power Electronics
• +۳ مورد دیگر

Professor Shubhra Pasayat is affiliated with the Department of Electrical and Computer Engineering and Materials Science & Engineering at the University of Wisconsin-Madison. She holds a PhD (2021) and MS (2017) from University of California, Santa Barbara, and a B.Tech (2013) from Indian Institute of Technology Kharagpur. Research focus: MOCVD growth of III-nitrides/oxides for optoelectronics, power electronics, quantum materials, and bio-photonics Key applications: LEDs, LASERs, HEMTs, bio-photonics, and sanitization technologies Her research interests center on wide bandgap semiconductor materials, particularly group-III nitrides and oxides. She works on strain relaxation techniques using porous GaN substrates, quantum dot engineering for visible light emission, and high-voltage GaN HEMT development. Current projects include lattice engineering for improved crystal quality and thermal management in RF devices. Publications highlight advancements in ultraviolet lasers, high-electron-mobility transistors, and micro-LEDs. Her work spans fundamental material studies and device optimization for industrial applications like electric vehicles, 5G/6G communications, and horticultural lighting. 2024 Awards : NSF CAREER, ONR DEPSCoR, WARF Early Career Innovator 2022 Awards : UCSB ECE Outstanding Dissertation, JAP Best Paper She teaches ECE 235 Introduction to Solid State Electronics and mentors research at both graduate and undergraduate levels.

Zoya Popovicمشاهده پروفایل

استاد

• High-Efficiency Circuits
• Microwave Technology
• Millimeter-Wave Imaging
• +۳ مورد دیگر

Zoya Popovic is a Distinguished Professor and holds the Lockheed Martin Endowed Chair in RF Engineering at the University of Colorado Boulder's Department of Electrical, Computer, and Energy Engineering. She earned a Dipl.Ing. from the University of Belgrade (1985) and a PhD from Caltech (1990). She has advised over 50 PhD students and was a visiting professor at Technical University of Munich (2001). Her research focuses on high-efficiency microwave/millimeter-wave circuits, smart antenna arrays, wireless powering systems, and biomedical microwave applications. Notable contributions include quasi-optical imaging techniques and low-noise amplifier designs. Key awards: IEEE Microwave Prizes (1993/2006), Humboldt Research Award (2000), Terman Medal (2001) Lab Group Website: [Link] Recent work emphasizes in-band full-duplex systems, GaN MMICs, and quantum-based waveform modulation. Her group maintains advanced facilities for millimeter-wave and terahertz research.

• Plasma Physics
• Nonlinear Dynamics
• Electromagnetic Theory
• +۳ مورد دیگر

Thomas M. Antonsen Jr. is a Distinguished University Professor at the University of Maryland, holding joint appointments in the Department of Electrical and Computer Engineering and the Department of Physics. He is affiliated with the Institute for Research in Electronics & Applied Physics (IREAP), Maryland Energy Innovation Institute, and the Institute of Physical Science and Technology. His research focuses on plasma physics, nonlinear dynamics, and high-power coherent radiation sources. Antonsen earned his B.S., M.S., and Ph.D. in electrical engineering from Cornell University (1973–1977) and has held visiting positions at institutions such as the University of California, Santa Barbara, and the École Polytechnique in France. **Education:** B.S., Electrical Engineering, Cornell University, 1973 M.S., Electrical Engineering, Cornell University, 1976 Ph.D., Electrical Engineering, Cornell University, 1977 **Research Interests:** Antonsen’s work spans magnetically confined plasmas, laser-plasma interactions, and advanced vacuum electronics. He has pioneered adjoint methods for optimizing beam-wave interaction systems and contributed to the development of high-power microwave amplifiers. His recent projects include wave chaos in complex systems and machine learning applications in nonlinear dynamics. **Awards & Honors:** James Clerk Maxwell Award (American Physical Society, 2023) IEEE Marie Sklodowska-Curie Award (2022) University of Maryland Distinguished University Professor (2017) IEEE Fellow (2012) **Teaching & Mentorship:** Antonsen teaches courses such as Physics 132 (Biophysics), Electrodynamics, and Plasma Physics. He mentors graduate students in plasma physics and vacuum electronics through his research groups at IREAP and the Bright Beams Collective. **Labs & Collaborations:** His research is supported by grants from the Department of Energy, NASA, and the Office of Naval Research. Key collaborations include the National Institute of Standards and Technology (NIST) and the European XFEL facility.

• Wireless Communications
• Signal Processing
• 5G/6G Networks
• +۳ مورد دیگر

Mikko Valkama is a Professor at the Department of Communications Engineering , part of the Faculty of Information Technology and Communication Sciences at Tampere University . His research focuses on advanced wireless communication systems, positioning technologies, and integrated sensing and communication (ISAC). He holds an Orcid ID ( 0000-0003-0361-0800 ) and can be reached at mikko.valkama@tuni.fi . Research interests span 5G/6G networks , RF antenna design , deep learning for signal processing , and millimeter-wave systems . He leads projects on positioning algorithms (e.g., mmWave SLAM, NLOS mitigation), ISAC architectures, and hardware-efficient transmitter linearization. Notable contributions include works on DECT-2020 NR standards, phase-based localization, and RIS-assisted systems. In 2025 alone, his group published over 30 articles on topics such as: Antenna array design for Ka-band and wideband applications Machine learning for power amplifier predistortion Bistatic radio SLAM and mmWave mapping Covert transmission and physical-layer security His work bridges theoretical advancements with practical implementations, often validated through experimental setups (e.g., TUJI1 dataset for indoor localization). No scientific awards were explicitly listed in the provided texts.

• Microelectronics
• Nanotechnology
• RF Engineering
• +۳ مورد دیگر

Prof. Dr. Amelie Hagelauer holds a professorship in Micro- and Nanosystem Technology at the TUM School of Computation, Information and Technology, Technical University of Munich. Her work focuses on advanced electronics and systems integration across quantum computing hardware, resistive memory technologies, and high-frequency RF systems. She has contributed to innovations in superconducting qubit readout architectures, multi-level RRAM designs, and 3D-integrated CMOS-compatible quantum devices. Research interests span quantum hardware design, nanoelectronic devices, RF front-end systems, and emerging memory technologies. Her work emphasizes practical implementation challenges such as low-power operation, high-voltage handling in RF switches, and wafer-scale fabrication processes. Recent projects include D-band radar systems, energy-efficient 60 GHz transceivers, and antenna tuning solutions for 5G applications. Publications from 2023-2025 showcase advancements in resistive switching device characterization, mitigation of TLS losses in superconducting qubits, and reconfigurable AI accelerators using RRAM-based digital twins. Her work bridges theoretical device physics with practical integrated circuit design, addressing scalability and reliability in next-gen electronics. Awards and grants: None explicitly listed in provided texts. Active collaborations include EU-funded projects on quantum computing platforms and TUM's Electronic Photonic Integration initiatives. Leads research teams in microsystem technology with emphasis on cross-disciplinary approaches combining CMOS processes, MEMS, and quantum engineering.

Rahul Sarpeshkarمشاهده پروفایل

استاد

• Analog synthetic biology
• Quantum circuit design
• Feedback control systems
• +۶ مورد دیگر

Rahul Sarpeshkar is a Professor of Engineering, Microbiology & Immunology, Physics, and Molecular & Systems Biology at Dartmouth College, holding the Thomas E. Kurtz Professorship and chairing the Neukom Computational Science Cluster. His research bridges analog circuits with quantum physics, synthetic biology, and ultra-low-power systems. BS in Electrical Engineering and Physics from MIT (1995) PhD in Computation and Neural Systems from Caltech (1998) His research focuses on analog synthetic biology , quantum circuit design , and bio-inspired supercomputing , emphasizing noise, thermodynamics, and energy efficiency. He develops cytomorphic chips to model biochemical networks and quantum-inspired circuits for spectrum analysis. Recent work integrates quantum and classical computation for biological simulations, drug cocktail formulation , and ATP energy measurement in living cells. Patents highlight innovations in quantum emulation and medical devices. Scientific awards include: Fellow, National Academy of Inventors (2018) IEEE Fellow (2018) NSF CAREER Award ONR Young Investigator Award Packard Fellow Award Junior Bose Teaching Award, MIT He leads a wet lab for synthetic microbial circuit implementation and a dry lab for quantum and nanoelectronics, mentoring a multidisciplinary team of physicists, bioengineers, and computer scientists.

• 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.

Chih-Hung Chenمشاهده پروفایل

استاد

• Biomedical Technologies
• Microelectronics & VLSI
• Digital & Smart Systems
• +۵ مورد دیگر

Dr. Chih-Hung (James) Chen is a Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on noise-related issues in semiconductor devices, low-noise circuit design for medical and communication applications, and thermal noise characterization in nano-scale transistors. He holds senior member status in IEEE and is a licensed Professional Engineer in Ontario. Education: Ph.D., McMaster University, 2002 M.A.Sc., Simon Fraser University, 1997 B.Sc., National Central University, Taiwan, 1991 Research interests include biomedical technologies, microelectronics & VLSI, and digital/smart systems. He has collaborated with companies like Sony Corporation, United Microelectronics Corporation, and Focus Microwaves. His work is supported by grants from the Canada Foundation for Innovation (CFI), NSERC, and the Ontario Innovation Trust (OIT). Notable achievements include serving on the International Advisory Committee of the International Conference on Noise and Fluctuations (2015) and as an editor for the Journal of Low Power Electronics and Applications since 2022. Teaching includes courses like Analysis and Design of RF ICs for Communications and Electronic Devices and Circuits 2. His research lab focuses on advancing noise measurement techniques and designing ultra-low-power analog circuits for emerging applications.

• Power Electronics
• Power Conversion
• Renewable Energy Systems
• +۳ مورد دیگر

David J. Perreault is the Ford Professor of Engineering at MIT's Department of Electrical Engineering and Computer Science (EECS). He joined MIT in 1997 as a Postdoctoral Associate at the Laboratory for Electromagnetic and Electronic Systems, becoming a Research Scientist in 1999 and faculty member in 2001. Education: B.S. in Electrical Engineering from Boston University (1989), M.S. and Ph.D. from MIT (1991, 1997). His research focuses on power electronics design, manufacturing, control, and applications in renewable energy, RF power, inverters, and efficiency optimization. He co-founded Eta Devices (acquired by Nokia) and Eta Wireless (acquired by Murata). He holds IEEE Fellow status and membership in the National Academy of Engineering. Awards: Richard M. Bass Award, IEEE Middlebrook Award, IEEE Newell Award, and 16 IEEE Prize Papers. He authored the textbook Principles of Power Electronics (2nd ed., 2023) and leads MIT's Power Electronics Research Group within the Laboratory for Electromagnetic and Electronic Systems.

Christian Enzمشاهده پروفایل

استاد

• Very low-power analog circuit design
• RF IC design
• Semiconductor device modeling
• +۴ مورد دیگر

Christian Enz is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), where he serves as Director of the Institute of Microengineering and Head of the Integrated Circuits Laboratory. With M.S. and Ph.D. degrees in electrical engineering from EPFL (1984 and 1989), he has established himself as a leading researcher in low-power analog circuit design and semiconductor device modeling. His research interests focus on very low-power analog and RF IC design , semiconductor device modeling , and increasingly on cryogenic electronics for quantum computing applications . Professor Enz is particularly known for his work on FDSOI MOSFET behavior at cryogenic temperatures, developing comprehensive models that address challenges in subthreshold swing saturation, threshold voltage shifts, and self-heating effects. As a Life Fellow of IEEE with 282 publications and over 7,400 citations, Professor Enz has made significant contributions to the field. His recent work demonstrates how the $G_{m}/I_{D}$ design methodology remains effective in advanced technology nodes and can be extended to cryogenic temperature operation. His research bridges fundamental semiconductor physics with practical circuit design considerations for quantum computing interfaces. Life Fellow, IEEE Director of the Institute of Microengineering, EPFL Head of the Integrated Circuits Laboratory 282 publications with 7,400+ citations Specialist in cryogenic CMOS for quantum computing Professor Enz's work on cryogenic electronics addresses critical challenges for quantum computing scalability. By developing accurate models for transistor behavior at temperatures as low as 3.3K, his research enables the design of specialized control electronics that can operate inside dilution refrigerators, potentially solving major wiring constraints that currently limit quantum computer scaling. His laboratory continues to advance the understanding of semiconductor device physics at cryogenic temperatures while developing practical circuit design methodologies for this emerging application domain.

Raouf Boutabaمشاهده پروفایل

استاد

• Network Management
• Systems and Services
• Resource Management in Wired/Wireless Networks
• +۹ مورد دیگر

Raouf Boutaba is a Professor at the University of Waterloo , serving as Director of the David R. Cheriton School of Computer Science since July 2020. He holds prestigious fellowships including FRSC , FIEEE , FIEC , and FCAE . 2024: Inaugural Rogers Chair in Network Automation 2024: Ontario Research Fund–Research Excellence (ORF–RE) $2M grant for next-gen mobile networks 2021: University Professor title, University of Waterloo Research Interests span network automation, resource management in wired/wireless networks, network function virtualization (NFV), software-defined networking (SDN), cloud computing, blockchain, future Internet architecture, and cybersecurity. His work focuses on zero-touch networks, 5G/B5G slicing, and AI-driven orchestration. Scientific Contributions include 15+ recent publications on topics like reinforcement learning for RAN slicing, encrypted traffic classification, quantum network optimization, and self-driving infrastructure. His projects 5G LEAP and 5G ELITE explore network isolation and Open RAN principles. 2024: IFIP/IEEE CNOM Test of Time Paper Award 2024: Graduate Supervision Excellence Award 2021: Kenneth C. Sevcik Outstanding Student Paper Award (advisor) Teaching includes co-developing the NSERC CREATE Network Softwarization program, offering courses like Network Softwarization: Principles and Foundations (Winter 2024) and Technologies and Enablers since 2018. He emphasizes hands-on training in SDN, NFV, Open RAN, and 5G. Students and Collaborations : Supervised PhD students such as Shihabur R. Chowdhury (2021), Nashid Shahriar (2020), and undergrad Leni Aniva (2022 Gov. Gen. Silver Medal ). His team includes researchers working on 5G, blockchain, and AI-driven network management. Professional Leadership : Organized Rogers TEP Workshops (2024-2025), delivered keynotes at IEEE Globecom, ColCom, and BalkanCom, and served on expert panels for AI orchestration and 5G cybersecurity at major symposia.