جست‌وجوی استاد و پژوهشگر

Ambuj Varshneyمشاهده پروفایل

استادیار

• Wireless Communication
• Internet of Things
• Embedded Systems
• +۴ مورد دیگر

Ambuj Varshney is an Assistant Professor at the National University of Singapore (NUS) School of Computing , leading the WEISER research group . His work bridges electronics, wireless communication, computer science, and AI with a focus on creating ultra-low-power embedded systems for sustainable IoT deployments. University of California, Berkeley: Postdoctoral Scholar (2020-2022) Uppsala University: PhD in Sustainable Networked Systems NXP Semiconductors: Software Engineer (prior to PhD) Bachelors in Information & Communication Technology Research interests center on overcoming wireless systems' energy asymmetry through tunnel diode oscillators , LiFi-RF hybrid networks , and battery-free communication architectures . His group develops STICORS —sticker-like computers for industrial and medical monitoring. Recent publications demonstrate AudioCast 's FM-band utilization for 130m transmission, TunnelSense 's vital monitoring, and PixelGen 's diffusion model cameras. These works combine IoT sustainability, spectrum efficiency, and hardware innovation . 2024: Google Research Scholar Award 2023: MobiSys Best Demonstration 2021: Berkeley FORM+FUND Fellowship 2019: ABB's $300K Research Award As an educator, he teaches CS4222 Wireless Networking and CS5272 Embedded Software Design . Past students include Wenqing Yan (NUS/UCB PhD), Qiao Yukai , and Kunjun Li . His team collaborates with Prabal Dutta (UCB), Christian Rohner (Uppsala), and Prateek Saxena (NUS).

• Bioengineering
• Materials Science
• Biomedical Engineering
• +۸ مورد دیگر

John A. Rogers is the Louis Simpson and Kimberly Querrey Professor at Northwestern University, holding joint appointments in Materials Science and Engineering, Biomedical Engineering, Mechanical Engineering, Chemistry, and Neurological Surgery. He directs the Querrey-Simpson Institute for Bioelectronics. His work bridges soft materials science, bio-integrated electronics, and nanotechnology, with a focus on wearable medical devices, bioresorbable systems, and neural interfaces. Educations: B.A. & B.S. from University of Texas Austin (1989), S.M. from MIT (1992), Ph.D. in Physical Chemistry from MIT (1995). Prior roles include Director of Bell Labs' Condensed Matter Physics Department and faculty positions at University of Illinois at Urbana-Champaign. Research emphasizes soft materials for bio-inspired electronics, including flexible sensors, microfluidic platforms, and bioresorbable implants. His lab has pioneered epidermal electronics, injectable optoelectronics, and neural interfacing systems. Over 1000 peer-reviewed publications and 100+ patents highlight his contributions to nanotechnology and biomedical engineering. Awards include the Benjamin Franklin Medal (2019), MRS Medal (2018), and MacArthur Fellowship (2009). He is a member of the National Academies of Sciences, Engineering, and Medicine. Current projects span bioelectronic medicines, wearable health monitors, and advanced medical imaging tools.

• Integrated Photonics
• Optical Frequency Combs
• Silicon Photonics
• +۴ مورد دیگر

Minghao Qi is a Professor in the Department of Electrical and Computer Engineering at Purdue University's College of Engineering, West Lafayette. His research focuses on integrated photonics systems for optical communications, quantum information, and precision metrology applications. Professor Qi's work spans several critical photonics domains: Design and application of microresonator-based optical frequency combs (Kerr combs) Silicon and silicon nitride integrated photonic circuits Thin-film lithium niobate devices for nonlinear optics Quantum information processing using frequency-bin entangled photons Photonic neuromorphic computing with machine learning co-design Optical sensors and time-of-flight ranging systems Analysis of his 2022-2025 publications reveals three dominant research vectors: (1) Vernier microcombs for optical atomic clocks and RF stabilization, (2) Trident edge coupler architectures for octave-spanning nonlinear processes on lithium niobate, and (3) Physics-informed neural networks applied to photonic device design and signal processing. His recent work demonstrates strong convergence between integrated photonics, quantum technologies, and machine learning.

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.

Bruno Clerckxمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• MIMO Wireless Networks
• +۷ مورد دیگر

Prof. Bruno Clerckx is a Professor of Wireless Communications and Signal Processing at Imperial College London's Department of Electrical and Electronic Engineering, Faculty of Engineering. He leads the Communications and Signal Processing Group and the Wireless Communications and Signal Processing Lab. Education: M.Sc. and Ph.D. in Electrical Engineering from Université Catholique de Louvain, Belgium Doctor of Science (DSc) from Imperial College London Research Interests: Focuses on wireless communications and signal processing for next-generation networks, including MIMO systems, reconfigurable intelligent surfaces (RIS), rate-splitting multiple access (RSMA), and integrated sensing and communications (ISAC). His work emphasizes 6G technologies, full-duplex systems, and energy-efficient architectures. Key contributions include pioneering research on beyond-diagonal RIS and RSMA prototyping. Awards: 2021 Blondel Medal (France) 2021 Adolphe Wetrems Prize (Royal Academy of Belgium) Fellowships from IEEE and IET IEEE Communications Society Distinguished Lecturer (2021-2023) Labs & Teams: Heads the Wireless Communications and Signal Processing Lab, and is affiliated with the IEEE Special Interest Groups on RSMA and BD-RIS. Collaborates with global institutions including Stanford University, Tsinghua University, and Samsung Electronics. Industry Experience: Former CTO of Silicon Austria Labs and contributor to 4G/5G standards at Samsung. Holds 80+ patents and authored two books on MIMO systems.

Qing Caoمشاهده پروفایل

دانشیار

• Nanomaterials
• Electronic Devices
• Optoelectronic Devices
• +۵ مورد دیگر

Qing Cao is an Associate Professor of Materials Science and Engineering at the University of Illinois at Urbana-Champaign, with courtesy appointments in Chemistry and Electrical Engineering. He leads the Cao Research Group within the Grainger College of Engineering and serves as Deputy Editor of Science Advances. Dr. Cao received his B.S. in Chemistry from Nanjing University in 2004 and his Ph.D. in Materials Chemistry from the University of Illinois at Urbana-Champaign in 2009. After working for 9 years as a research scientist at IBM Thomas J. Watson Research Center, he returned to UIUC in 2018 as a faculty member. His research focuses on developing functional nanomaterials for unconventional electronic systems, high-performance logic devices, and low-cost energy harvesting. The Cao Research Group specifically works on: nanoelectronic devices based on novel nanomaterials; next-generation memory devices for neuromorphic and in-memory computing; monolithic 3D integration for high performance electronics; high-performance printable electronic materials; and bioelectronics for healthcare applications. His work bridges materials science, chemistry, electrical engineering, and device physics. Analysis of Dr. Cao's recent publications reveals a strong focus on electrochemical memory devices for neuromorphic computing, with significant work on carbon nanotube-based electronics and novel nanomaterials. His 2023 Nature Electronics paper on CMOS-compatible electrochemical synaptic transistors demonstrates his leadership in developing hardware solutions for deep learning acceleration. His research trajectory shows a progression from fundamental carbon nanotube device physics to more applied systems for computing and sensing applications. IBM Pat Goldberg Memorial Best Paper Award (2017) IBM Master Inventor Award (2016) MIT Technology Review TR35 (2016) Forbes '30 Under 30' (2012) and 'Most Influential All-Star Alumni' (2016) Atlantic Council Millennium Fellow (2017) US Frontiers of Engineering by National Academy of Engineering (2016, 2019) 17 IBM Invention Achievement Awards (2011-2018) Dr. Cao has secured significant research funding including NSF grants 1950182 and 2139185. His research group actively recruits graduate students and postdoctoral researchers to work on cutting-edge materials and device projects. His work has resulted in over thirty research papers and fifty patents and patent applications. He teaches graduate courses including MSE 403 (Synthesis of Materials), MSE 460 (Electronic Materials I), and MSE 488 (Optical Materials). The Cao Research Group operates within the University of Illinois' world-class facilities including the Frederick Seitz Materials Research Laboratory and Holonyak Micro and Nanotechnology Laboratory. His research has received support from NSF, DoD, DOE, and industry partners including TSMC. The group's recent $2 million project focuses on developing technology to help mobile devices learn and adapt to their surroundings.

Adam Khalifaمشاهده پروفایل

استادیار

• Low-Power Electronics
• Biomedical Engineering
• Neural Engineering
• +۴ مورد دیگر

Adam Khalifa is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of Florida. His research focuses on low-power analog/RF/Mixed-mode ASIC design, miniaturization of biomedical devices, wireless powering solutions, and neural stimulation/recording techniques in animal models. He holds a PhD from Johns Hopkins University and degrees from The Hong Kong University of Science and Technology. His work emphasizes implant packaging, electrode microfabrication, and coil design for medical applications. Key research areas include developing energy-efficient wireless systems for implanted devices, such as magnetoelectric antennas and galvanic body-coupled powering. He has pioneered advancements in miniaturized implantable devices, including the 'Microbead' stimulator. His NIH T32 Fellowship (2019) and Ferdinand H. Fellowship (2018) reflect his impactful contributions. Publications highlight innovations in wireless power transfer, metamaterials for biomedical implants, and injectable microdevice fabrication. His work spans from circuit-level modeling to in vivo validation, emphasizing both technical and biological integration challenges. Collaborative efforts address challenges like implant migration tracking via MRI and energy harvesting for battery-free systems.

Lan Weiمشاهده پروفایل

دانشیار

• Nanoelectronic devices
• Cryogenic CMOS electronics
• GaN-based devices and circuits
• +۵ مورد دیگر

Lan Wei is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, Canada. She leads the Waterloo Emerging Integrated Systems Group, focusing on device-circuit co-optimization, cryogenic CMOS for quantum computing, and emerging technologies like GaN, RRAM, and low-dimensional materials. Her work bridges nanoelectronics and system-level applications, with notable contributions to the MIT Virtual Source GaN HEMT (MVSG) compact model, an industry-standard tool. Education: B.S. in Microelectronics and Economics, Peking University (2005) M.S. and Ph.D. in Electrical Engineering, Stanford University (2007, 2010) Research Interests: Nanoelectronic devices Cryogenic CMOS for quantum computing GaN-based circuits and systems RRAM-based neuromorphic computing Device-circuit interactive design Publications reflect her expertise in GaN modeling, quantum computing hardware, and RRAM applications. Recent work emphasizes scalable quantum control circuits and error-resilient neural networks using emerging technologies. Awards include the 2019 Ontario Early Researcher Award and the 2020 UWaterloo President's Excellence Award in Research. She has served on technical committees for IEDM, DATE, and ICCAD, and contributed to the ITRS roadmap. Teaching includes courses like ECE 240 (Electronic Circuits) and ECE 730 (Solid State Devices). Her group actively seeks graduate students with interest in integrated systems and nanoelectronics.

• 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.

• Space Propulsion
• Plasma Physics
• Fluid Dynamics
• +۳ مورد دیگر

Pablo Fajardo Peña is a Full Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid (UC3M). He leads the Plasmas and Space Propulsion Team (EP2) and co-directs the Aerospace Engineering Research Group. His research focuses on advanced propulsion technologies for space applications, including plasma thrusters, electric propulsion, and fluid-thermal systems. Professor Peña's work spans computational modeling of plasma dynamics, experimental characterization of propulsion systems, and development of novel thrusters like Hall effect thrusters and electrospray systems. His recent publications analyze plasma discharge mechanisms, thruster plume behavior, magnetic nozzle effects, and propellant interactions. He leads multiple EU and Spanish-funded projects including HIPATIA (Helicon Plasma Thruster), CHEOPS (Hall Effect Orbital Propulsion), and ADAPT (Advanced Plasma Propulsion). These initiatives focus on developing efficient propulsion systems for spacecraft and addressing challenges in space debris removal. Professor Peña supervises doctoral research on plasma diagnostics and thruster simulation, and has developed simulation tools like HYPHEN (Hybrid Plasma Thruster Holistic Environment). His team collaborates with ESA, Airbus, and SENER Aeroespacial on propulsion technology validation.

• 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.

Robert J. Schoelkopfمشاهده پروفایل

استاد

• Quantum Computing
• Quantum Information Processing
• Circuit Quantum Electrodynamics
• +۴ مورد دیگر

Robert J. Schoelkopf is the Sterling Professor of Applied Physics at Yale School of Engineering & Applied Science, with a secondary appointment in the Department of Physics (Faculty of Arts and Sciences). He co-founded the field of circuit quantum electrodynamics (circuit QED), pioneering breakthroughs in solid-state quantum computing, including the transmon qubit, quantum bus, and first demonstrations of quantum algorithms and error correction. He directs the Yale Quantum Institute. Ph.D., California Institute of Technology A.B., Princeton University Research Interests: His work focuses on superconducting devices for quantum information processing, enabling revolutionary advances in quantum computing and sensing. Key contributions include foundational circuit QED innovations and quantum error correction protocols. Awards & Honors: Comstock Prize in Physics (2024) Connecticut Medal of Science (2017) John Stewart Bell Prize (2013) Joseph F. Keithley Award (2009) Yale University Junior Faculty Fellowship (2002) Packard Fellowship (2000) Leadership & Collaborations: Schoelkopf collaborates extensively with Michel Devoret and Steven Girvin. He co-founded Quantum Circuits Inc. and leads the Yale Quantum Institute. His lab emphasizes a fun, inclusive environment aligned with Yale's quantum research initiatives.

Leonardo Chamorroمشاهده پروفایل

استاد

• Aero/Hydrodynamics
• Wind and Hydrokinetic Energy
• Advanced Flow Diagnostics
• +۵ مورد دیگر

Leonardo Chamorro is a Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign (UIUC), with affiliations in Earth Science and Environmental Change, Aerospace Engineering, and Civil and Environmental Engineering. His research focuses on fluid dynamics, renewable energy systems, and turbulence modeling. He holds a Ph.D. in Civil Engineering from the University of Minnesota (2010) and has held academic positions at UIUC since 2013, advancing to Full Professor in 2024. Chamorro's work spans experimental and theoretical investigations of wind and hydrokinetic energy, geophysical flows, and particle dynamics. His research group, the Renewable Energy & Turbulent Environment Group (RE-TE-G), explores topics like tidal flow multifractality, vortex dynamics, and bio-inspired robotics. Key achievements include Nature and Lab on a Chip cover articles, and contributions to turbulence modeling for tidal energy systems. He has received awards such as the Best Paper Award in Energies (2018) and recognition for pandemic-related research (2021). His editorial roles include associate editorships at journals like Journal of Renewable and Sustainable Energy and Frontiers in Energy Research . Chamorro has supervised numerous graduate students and postdocs, contributing to over 150 peer-reviewed publications since 2009.

Thomas Zwickمشاهده پروفایل

استاد

• Radio Wave Propagation
• Radio Channel Modeling
• Measurement Techniques
• +۵ مورد دیگر

Prof. Dr.-Ing. Thomas Zwick is a full professor and director of the Institute of High Frequency Engineering and Electronics (IHE) at the Karlsruhe Institute of Technology (KIT). He holds a Dipl.-Ing. (M.S.E.E.) and Dr.-Ing. (Ph.D.E.E.) from the University of Karlsruhe. His career includes roles at IBM Research (2001–2004), Siemens AG (2004–2007 managing automotive radar teams), and KIT since 2007. He leads research in high-frequency technologies, antennas, radar systems, and wireless communications. Research interests include radio wave propagation, antenna design, automotive radar architectures, and millimeter-wave systems. He has authored/co-authored over 400 papers, 20 patents, and received IEEE Fellow status (2018), honorary doctorate from Budapest University (2022), and membership in the Heidelberg Academy and acatech. His work emphasizes integrating sensing and communication systems, 3D-printed RF components, and high-frequency measurement techniques. Teaching focuses on high-frequency engineering, electronic circuits, and radar systems. He oversees the IHE’s laboratories, including the Microwave Engineering Lab and Student Innovation Lab. Recent work explores sub-THz communication, RIS-aided ISAC systems, and beamforming for reduced EMF exposure in urban scenarios.

Ruonan Hanمشاهده پروفایل

استاد

• Terahertz Electronics
• Integrated Circuits
• RF Systems
• +۴ مورد دیگر

Ruonan Han is a Professor of Electrical Engineering and Computer Science at MIT and serves as Associate Director of the Microsystems Technology Laboratories (MTL) and Director of the MIT-MTL Center for Integrated Circuits and Systems . His research focuses on ultra-high-frequency microelectronic circuits , particularly addressing the 'terahertz gap' in sensing, metrology, security, and communication. He leads the Terahertz Integrated Electronics Group at MIT's MTL, established in 2014. Education: B.S. in Microelectronics, Fudan University (2007) M.S. in Electrical Engineering, University of Florida (2009) Ph.D. in Electrical and Computer Engineering, Cornell University (2014) Research Interests: Terahertz (THz) integrated circuits and systems High-frequency CMOS technologies Quantum sensing and magnetometry RF systems for imaging, radar, and molecular sensing Energy-efficient communication systems His work bridges electronic circuits , electromagnetics , and quantum physics , with applications in defense, healthcare, and environmental monitoring. Awards & Recognition: 2023 IEEE SSCS New Frontier Award 2020 NSF CAREER Award 2019 Intel Outstanding Researcher Award 3× IEEE RFIC Best Student Paper Awards (2012, 2017, 2021) Advising & Leadership: Ph.D. advisor to over 10 students (many recipients of MIT MTL Dissertation Awards) Co-advises with Prof. Anantha Chandrakasan and Prof. Tomás Palacios Editorial roles at IEEE Transactions on Quantum Engineering and VLSI Systems Technical committee member for ISSCC, RFIC, and IMS Labs & Teams: Terahertz Integrated Electronics Group at MIT MTL: Focuses on chip-scale THz systems, quantum devices, and next-generation RF circuits Collaborations with industry (e.g., Apple, MediaTek) and academic groups (e.g., D. Englund's lab at MIT)