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F. Levent Degertekin is a Regents' Entrepreneur and the George W. Woodruff Chair in Mechanical Systems and Professor at the George W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. His office is located in Love Building, room 311B, and his contact email is levent.degertekin@me.gatech.edu. Dr. Degertekin's academic journey includes a Ph.D. in Electrical Engineering from Stanford University (1997), an M.S. in Electrical Engineering from Bilkent University, Turkey (1991), and a B.S. in Electrical Engineering from Middle East Technical University, Turkey (1989). Dr. Degertekin's research focuses on micromachined ultrasonic devices and systems for medical applications, particularly in intravascular ultrasound imaging, therapeutic ultrasound, and acousto-optical sensors for MRI. His work spans from fundamental research on novel transduction methods to complete catheter-based imaging systems close to commercialization. He has made significant contributions to capacitive micromachined ultrasonic transducers (CMUTs), developing diffraction grating based optomechanical sensing methods now commercialized by Silicon Audio, novel atomic force microscopy imaging probes, and micromachined ultrasonic ejector structures for cell transfection commercialized by OpenCell Technologies. His research integrates acoustics, optics, and their combinations for various medical applications, utilizing conventional microfabrication (MEMS) and integrated circuit technologies. The Degertekin lab exposes students to applied physics, electrical, mechanical and biomedical engineering, biology, and biomimetic systems, providing them with thorough theoretical and experimental education in acoustics and optics while learning interdisciplinary research. Dr. Degertekin's work has received significant media attention, including coverage in IEEE Spectrum, Wired Magazine, The New York Times, and Fox Business News, highlighting innovations such as handheld ultrasound probes, MRI safety sensors, and minimally invasive cardiac imaging technologies. IEEE Fellow for 'Contributions to micromachined ultrasonic and optomechanical transducers and systems,' 2022 IEEE UFFC Society Inaugural Carl Hellmuth Hertz Ultrasonic Achievement Award, 2014 George W. Woodruff School Outstanding Achievement in Commercialization and Entrepreneurship Award, 2024 National Science Foundation CAREER Award, 2004-2009 Whitaker Foundation Biomedical Engineering Research Grant Award, 2001 66 US and 6 International Patents Dr. Degertekin has mentored numerous students who have gone on to make significant contributions in the field. Several of his students have received IEEE Ultrasonics Symposium Best Student Paper Awards, including Jeff McLean (2003), Sheng-Yu Peng (2006), Rasim O. Guldiken (2005 and 2007), and Toby Xu (2014). His research has been supported by various grants including the NSF CAREER Award and Whitaker Foundation grant. His work has led to multiple commercial ventures including Silicon Audio and OpenCell Technologies. The Degertekin Group at Georgia Tech focuses on transducers and systems for medical imaging and sensing, with current projects including capacitive parametric transducers, acousto-optic sensors for MRI, novel transducer methods for focused ultrasound in the brain, microsystems for intravascular and intracardiac ultrasound imaging, and CMUT-on-CMOS systems for IVUS imaging.

• Micro and Nano Engineering
• Acoustics and Dynamics
• Electromechanical Transducers
• +7 more

David Blaauw is the Kensall D. Wise Collegiate Professor of Electrical Engineering and Computer Science (EECS) at the University of Michigan. His research focuses on ultra-low-power analog/mixed-signal circuits, mm-scale sensors, neural networks, and biomedical applications. He leads the Blaauw Lab, which has pioneered innovations like the Michigan Micro Mote (M^3) and neural recording probes. His work emphasizes real-world deployability, with applications in environmental monitoring (e.g., monarch butterflies), medical devices, and robotics. Education: B.S. in Physics and Computer Science, Duke University (1986) Ph.D. in Computer Science, University of Illinois Urbana-Champaign (1991) Research Interests: Blaauw’s lab explores ultra-low-power computing, mm-scale systems, RF communication, in-memory computing, and genomics acceleration. Key projects include: Millimeter-scale computers (e.g., 0.04mm³ temperature sensors) Wireless neural interfaces for brain-machine communication Energy-efficient accelerators for edge AI and genomics Micro-robotics with sensing/actuation/computation Awards: IEEE Fellow 2016 SIA-SRC Faculty Award Motorola Innovation Award Best Paper Awards at ISSCC, ISCA, and RFIC Advising & Impact: Over 600 publications, 65 patents, and 4 startup companies spun from his lab. Current research includes genome sequencing accelerators (GenAx) and neural recording dust for brain mapping. He directs the Michigan Integrated Circuits Lab and chairs major conferences like ISSCC and DAC. Labs/Teams: Blaauw Lab (University of Michigan) Michigan Integrated Circuits Lab (MICAL)

• Ultra-Low Power Circuits
• IoT and Sensor Networks
• RF Communication
• +7 more

Dr. Hongxing Jiang is a Professor at the Whitacre College of Engineering, Texas Tech University, affiliated with the Department of Electrical & Computer Engineering. He holds the Edward E. Whitacre Jr. Chair and co-directs the Center for Nanophotonics. PhD in Physics, Syracuse University (1986) MS in Physics, Syracuse University (1983) BS in Physics, Fudan University (1981) His research focuses on III-Nitride semiconductors (BN, AlN, GaN, InN) for optoelectronics , photonics , and radiation detection . Key areas include solid-state lighting , energy-conversion devices , MOCVD growth , and micro-emitter arrays . Recent publications highlight advancements in h-BN quasi-bulk crystals , fast neutron detectors , and wide bandgap materials . Themes span crystal growth optimization , doping techniques , and optical characterization . National Academy of Inventors Fellow (2018) American Association for the Advancement of Science Fellow (2016) International Society for Optics and Photonics Fellow (2015) Optica Fellow (2014) American Physical Society Fellow (2010) China-U.S. Physics Examination and Application Fellow (1981) As co-director of the Center for Nanophotonics, Jiang leads research in semiconductor materials for high-energy lasers and neutron detection , emphasizing scalable growth methods like hydride vapor-phase epitaxy .

• Semiconductors
• Photonics
• Optoelectronics
• +6 more

Ye (Sarah) Sun is an Associate Professor in the Department of Mechanical Engineering at the University of Virginia (UVA), part of the School of Engineering and Applied Science. She joined UVA in 2021 after serving as an Associate Professor at Michigan Technological University. Her work focuses on wearable sensors, robotics, smart health systems, and cyber-physical systems. She leads the WEARLab research group. Education: Ph.D. in Electrical Engineering from Case Western Reserve University (2021), B.S. in Instrumentation Engineering from Tianjin University (not specified). Research interests include wearable electronics, health monitoring, and human-technology interaction. Her interdisciplinary approach integrates engineering innovations with healthcare applications. Notable projects involve self-powered triboelectric sensors and optical fiber-based health monitoring systems. Recent publications highlight advancements in photodiode technologies for high-frequency applications, including millimeter-wave generation and photonic integrated circuits. Awards include the NSF CAREER Award (2018) and NSF BRITE Award (2022). She has organized major conferences and holds editorial roles in health technology journals. Grants include NSF funding for cyber-physical systems and smart health initiatives. Her lab collaborates on projects involving wearable robotics and connected health solutions, with a focus on real-world applications in healthcare and IoT.

• Wearable sensors
• Wearable robotics
• Smart and connected health
• +3 more

Neal Sullivan is a Professor of Mechanical Engineering at the Colorado School of Mines (CSM), leading experimental research at the Colorado Fuel Cell Center as its director. His expertise lies in electrochemical ceramics, with a focus on fuel cells, electrolyzers, and membrane reactors for energy conversion and storage. Sullivan’s work spans from materials development to large-scale system integration, addressing applications such as hydrogen production, CO₂-to-fuels processes, and geothermic fuel cell systems for unconventional oil recovery. His research is supported by grants from the U.S. Department of Energy (DOE), NASA, and industry partners, totaling over $15M. Notable projects include the development of proton-conducting ceramic electrolyzers for water splitting, high-efficiency hybrid SOFC-IC engine systems, and Mars-based CO₂ methanation. Sullivan has led collaborative efforts with global leaders in electrochemistry, emphasizing scalability and durability in energy systems. Key contributions include innovations in protonic ceramic fabrication, catalyst integration, and multi-stack system design. His lab focuses on bridging early-stage materials research with full-scale demonstrations, achieving power outputs up to 100 kW. Sullivan’s work has been published in top journals like Nature Energy and International Journal of Hydrogen Energy , with a strong emphasis on practical applications and renewable energy solutions. Labs/Teams: Director of the Colorado Fuel Cell Center. Grants/Advising: PI/co-PI on multiple DOE and NASA grants, including $5M for hybrid SOFC systems and $1.5M for geothermic fuel cells. Advises on advanced materials and system integration for energy storage and conversion.

• Electrochemical Engineering
• Energy Storage
• Renewable Energy Technologies
• +3 more

Gabi Laske is a Professor at the Institute of Geophysics and Planetary Physics (IGPP), Scripps Institution of Oceanography (SIO), University of California, San Diego (UCSD). She is a leading researcher in seismology and geophysics, with a focus on Earth's internal structure, crustal and mantle modeling, and ocean-bottom seismology. Her work has significantly advanced global crustal models, including CRUST5.1, CRUST2.0, and CRUST1.0. Her research interests include seismology, geophysics, Earth's internal structure, surface wave tomography, normal mode analysis, crustal and lithospheric modeling, ocean bottom seismology, mantle plumes, inner core rotation, ambient noise seismology, and earthquake signal processing. She has led major projects such as the Hawaiian PLUME and SWELL experiments, utilizing ocean-bottom seismometers to study mantle dynamics and lithospheric rejuvenation. Her work on inner core differential rotation, particularly with Guy Masters, has been published in top journals like Nature and Science . The 15 most recent publications reflect a strong trend in ocean-bottom seismology, ambient noise analysis, instrument calibration, seismic signal quality, and imaging of crustal and mantle structure. Her work combines observational seismology with advanced signal processing and modeling techniques, often in collaboration with students and international teams. She has made significant contributions to understanding seismic anisotropy, normal modes, and the structure of volcanic and tectonic regions. Funded by NSF (OCE, EAR, CSEDI, MG&G) Collaborative projects with USGS, international institutions Advisor to PhD students, including Adrian Doran Lead developer of DLOPy for OBS orientation Contributor to global reference models (CRUST1.0, LITHO1.0) Gabi Laske has made enduring contributions to geophysics through her development of global crustal models, leadership in major seismic experiments, and mentorship of the next generation of seismologists. Her work continues to shape our understanding of Earth's deep interior and surface processes.

• Seismology
• Geophysics
• Earth's Internal Structure
• +8 more

Jeffrey Krolik is a Professor of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He holds a Ph.D. in Electrical Engineering from the University of Toronto (1987) and previously served as an Assistant Professor at Concordia University and Assistant Research Scientist at Scripps Institution of Oceanography. Ph.D. University of Toronto (1987) M.A. University of Toronto (1983) B.A. University of Toronto (1980) His research focuses on physics-based and statistical signal processing with applications in radar, sonar, microwave remote sensing, and medical imaging. Key projects include adaptive beamforming for ocean acoustic waveguides, aircraft height finding via HF radar, and motion-robust fMRI algorithms. Recent publications cover multipath mitigation in sonar arrays, vibrational radar backscatter communication, and CNN implementations for radar signal processing. His work spans underwater acoustics, urban radar tracking, and distributed sensor networks. He teaches advanced courses in sensor array signal processing, digital audio systems, and radar applications. His research has been supported through collaborations with institutions like Scripps and consulting roles with ONR, DARPA, and Air Force Rome Laboratories. Key contributions include waveguide invariant processing, matched-field beamforming, and novel approaches to radar clutter suppression in urban and maritime environments. His work integrates statistical signal processing with physical propagation models across diverse domains.

• Signal Processing
• Sensor Array Processing
• Radar Systems
• +4 more

Maiken H. Mikkelsen is the James N. and Elizabeth H. Barton Associate Professor in the Department of Electrical and Computer Engineering at Duke University, with a joint appointment in the Department of Physics . Her research focuses on quantum nanophotonics , plasmonics , and light-matter interactions in nanoscale materials, aiming to advance optoelectronics, quantum science, and biomedical diagnostics. Education B.S. in Physics, University of Copenhagen (2004) Ph.D. in Physics, University of California, Santa Barbara (2009) Postdoctoral Fellowship, University of California, Berkeley Her work explores nanophotonic engineering for quantum optics , spintronics , and ultrafast optoelectronics , with recent studies on nonlinear metasurfaces and plasmonic enhancement of immunoassays for point-of-care diagnostics. Publications highlight 2D semiconductor emission control , ultrafast single-photon sources , and metasurface-based photodetectors . Scientific Awards Maria Goeppert Mayer Award (2017) NSF CAREER Award (2015) Moore Inventor Fellow (2021) ONR/Air Force/Army Young Investigator Awards (2015-2017) Cottrell Scholar (2016) Stansell Family Distinguished Research Award (2021) She advises graduate students in Duke’s Electrical & Computer Engineering and Physics programs and leads the Mikkelsen Lab , which emphasizes ultrafast spectroscopy and quantum material development . The lab has graduated PhD students like Eunso Shin and Hengming Li (2025).

• Quantum Nanophotonics
• Plasmonics
• Spintronics
• +7 more

Robert M. Weikle, II is a Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia, with a courtesy appointment in the Department of Physics. He earned his B.S. from Rice University (1986), M.S. (1987), and Ph.D. (1992) in Electrical Engineering from Caltech, followed by postdoctoral work at Chalmers University of Technology (1992). His research focuses on millimeter-wave and terahertz electronics , applied electromagnetics, integrated antennas, low-noise sensors, and heterogeneous integration of compound semiconductors. His work bridges electronics and photonics for spectrum access, with applications in astronomy, spectroscopy, and metrology. He has published extensively on micromachined silicon substrates, superconducting materials, and emerging technologies. Scientific Awards: IEEE Microwave Prize (1993) David A. Harrison III Award (1999) University of Virginia All-University Outstanding Teaching Award (2000) Edlich-Henderson Innovator of the Year (2016) Fulbright Scholar (2001) As Chief Technology Officer and co-founder of Dominion Microprobes, Inc., he commercializes micromachined wafer probes for high-frequency metrology. His lab, located in E220 Thornton Hall and the Jesse W. Beams Physics Building, has produced 15+ recent publications on submillimeter-wave devices, THz probes, and calibration techniques.

• Millimeter-wave electronics
• Terahertz technology
• Applied electromagnetics
• +9 more

Fred A. Kish is the MC Dean Distinguished Professor and Director of the NC State Nanofabrication Facility at North Carolina State University. He holds a Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign (1992). His research focuses on Photonics, Optoelectronic Devices, and Compound Semiconductor Materials , with emphasis on photonic integrated circuits (PICs), quantum information science, and semiconductor material engineering. He has co-invented foundational technologies for LEDs, VCSELs, and large-scale PICs, contributing over $7B in commercialized products. His leadership includes roles at Hewlett-Packard, Agilent Technologies, and Infinera Corporation, where he pioneered optical communication systems. Dr. Kish is a Fellow of the National Academy of Inventors, Optica, and IEEE, and a member of the National Academy of Engineering. His awards include the IEEE David Sarnoff Award and the John S. Risley Entrepreneur of the Year Award. He has authored 170+ peer-reviewed publications, 135+ patents, and 5 book chapters. His current work drives advancements in wide bandgap semiconductors and photonic integration for next-generation communications and sensors. Labs/Teams: Directs the NC State Nanofabrication Facility, a hub for semiconductor innovation. Collaborates on the CLAWS Hub, a $39.4M CHIPS Act-funded regional semiconductor innovation initiative.

• Photonics
• Optoelectronic Devices
• Compound Semiconductor Materials
• +3 more

Renjie Zhao is an Assistant Professor in the Department of Computer Science at Johns Hopkins University and a member of the Data Science and AI Institute. His research focuses on wireless networking and mobile computing, with significant contributions to millimeter-wave communications, software-defined radio, and IoT systems. Dr. Zhao received his B.E. in Electric Power Engineering and Automation from Shanghai Jiao Tong University in 2018, followed by an M.S. (2020) and Ph.D. (2023) in Electrical and Computer Engineering from the University of California San Diego, where he was advised by Professor Xinyu Zhang. His research centers around three main areas: next-generation wireless network architectures (5G millimeter wave, 6G joint communication and sensing, Internet of Things), novel radio hardware and software design (software-defined radio, wireless brain interfaces, low-power ultra-wide-band), and ubiquitous communication and sensing systems (smart homes, virtual/augmented reality, localization, ultra-reliable RFID for supply chains). His work bridges theoretical innovation with practical implementation, often resulting in open-source hardware and software platforms that advance the field. Dr. Zhao's research has been published in top conferences including ACM SIGCOMM, MobiCom, and NSDI. His work demonstrates a clear progression from foundational wireless communication systems to increasingly sophisticated sensing and localization applications, with consistent focus on practical deployment challenges and solutions. Scientific Awards: Best Paper Award at ACM MobiCom 2020 for work on massive MIMO millimeter-wave software radio Best Paper Award at ACM SenSys 2023 for NeuroRadar paper Hopkins AITC funding for AI technologies promoting healthy aging Dr. Zhao actively serves the research community as TPC member for major conferences including MobiCom'25, NSDI'25, and MobiSys'25, and as a reviewer for leading journals. He is involved in multiple NSF-funded projects, including an NSF CIRC project developing the next-stage M-Cube platform. His lab, focused on wireless systems, maintains strong industry connections with companies like Qualcomm and Samsung. Dr. Zhao leads the M-Cube project, an open-source millimeter-wave massive MIMO software radio platform that has been adopted by numerous research institutions worldwide. His team continues to develop innovative wireless technologies with practical applications in supply chain management, healthcare, and smart environments.

• Wireless Networking
• Mobile Computing
• 5G/6G Technologies
• +8 more

Sam Emaminejad is an Associate Professor in the Department of Electrical and Computer Engineering at the Henry Samueli School of Engineering and Applied Science, University of California Los Angeles (UCLA). His research focuses on developing advanced wearable bioelectronic systems for continuous, noninvasive health monitoring and personalized therapeutics. Key Research Areas: Biomarker detection via flexible sensors Microfluidic and ferrobotic systems Stress and drug level monitoring Biodegradable and breathable wearable materials Recent Trends: Analysis of sweat and interstitial fluids using microneedles, aerogel skins, and programmable microfluidics. Machine learning integration for physiological evaluation is prominent. Awards & Collaborations: While specific awards aren't listed, he collaborates with major UCLA Health and Engineering faculty, including Ali Khademhosseini and Dino Di Carlo, on projects funded by NIH T32 grants and institutional fellowship programs. Grants & Labs: Leads projects in NIH-funded wearable sensor research, including the development of autonomous systems for cystic fibrosis and glucose monitoring. His lab explores ferrobotic swarms and hydrogel-based interfaces for clinical and consumer applications.

• Biomedical Engineering
• Wearable Technology
• Microfluidics
• +3 more

Q. Jane Gu is a Professor at the School of Electrical and Computer Engineering at Georgia Tech since September 2024, holding the Ed and Pat Joy Professorship. Previously, she was at the University of California, Davis (2012–2024) and the University of Florida (2010–2012). She earned her Ph.D. in Electrical Engineering from UCLA in 2007. Her research focuses on high-efficiency, low-power interconnects, millimeter-wave, sub-mm-wave, and terahertz integrated circuits and systems for applications in communication, radar, and imaging. Notable contributions include sub-THz resonator-based sensors, dielectric waveguide interconnect channels, and energy-efficient transmitters. Recipient of NSF CAREER Award (2013) 2015 UC Davis Outstanding Junior Faculty Award 2017 and 2018 Qualcomm Faculty Awards 2019 UC Davis Chancellor’s Fellow 2022–2023 IEEE SSCS Distinguished Lecturer Her group has garnered nine best paper awards, including top honors at the 2016, 2017, and 2020 IEEE MTT-S International Microwave Symposia. Research interests span terahertz interconnects, millimeter-wave radar systems, and integrated circuits for high-speed communication. Publications reflect advancements in sensor design, high-frequency transceivers, and phased-array systems, emphasizing energy efficiency and signal integrity.

• High Efficiency Interconnect
• Low Power Interconnect
• Millimeter-Wave Systems
• +6 more

Donald Lie is a Professor and the Keh-Shew Lu Regents Chair in Electrical and Computer Engineering at Texas Tech University's Whitacre College of Engineering. His research focuses on low-power RF/analog integrated circuits, System-on-a-Chip (SoC) design, and interdisciplinary applications in medical electronics, biosensors, and biosignal processing. PhD, Electrical Engineering, California Institute of Technology (1995) MS, Electrical Engineering, California Institute of Technology (1990) BS, Electrical Engineering, National Taiwan University (1987) Donald Lie's research bridges RF/analog circuit design with biomedical engineering, emphasizing millimeter-wave power amplifiers for 5G systems and non-contact vital signs monitoring using software-defined radio (SDR). His work explores CMOS FD-SOI, GaN HEMTs, and SiGe technologies for high-efficiency, linear RF front-end modules and wearable biosensors. His 15 most recent publications focus on 5G communication systems , millimeter-wave power amplifier design in CMOS FD-SOI and GaN , digital predistortion techniques, and non-contact biosensors . These works highlight advancements in wideband amplifiers for 5G FR2 bands and wireless power transfer for medical devices. Institute of Electrical and Electronics Engineers (2017) Excellent Paper Award Winner (2019) Best Student Poster Paper Award Winner (2019) Donald Lie has secured NSF Student Travel Grants for conferences like RFIC 2022 and 2020. He leads the RF/Analog System-on-a-Chip (SoC) Design Lab , which develops innovative solutions for 5G RF front-ends and biomedical sensing systems.

• Low-Power RF/Analog Integrated Circuits
• System-on-a-Chip (SoC) Design
• Medical Electronics
• +5 more

Vishesh Vikas is an Associate Professor in the Department of Mechanical Engineering at the University of Alabama, College of Engineering. He is based in the South Engineering Research Center (SERC) and leads the Agile Robotics Laboratory (ARL@UA), which focuses on bio-inspired, soft, and tensegrity robotics, as well as inertial sensing and estimation. Education: PhD, Mechanical Engineering, University of Florida, 2011 MS, Mechanical Engineering, 2008 B.Tech., IIT Guwahati, 2005 His research spans autonomous systems, wearable technologies, biomedical devices, guidance and control, intelligent systems, space robotics, and engineering education . The lab’s work integrates mechanical design, sensing, and advanced control to create agile, adaptive robotic systems for unstructured environments. The recent publications highlight a strong trend in soft and tensegrity robotics , with focus on gait synthesis, locomotion planning, shape and joint estimation, and dexterous manipulation. These works combine modeling, data-driven control, and sensor fusion, often using accelerometers, IMUs, and vision for real-time feedback. The research is published in top robotics venues such as IEEE TRO, RA-L, and ASME journals. Scientific Awards: No awards explicitly mentioned in the text. Vishesh Vikas actively advises graduate students, including PhD and Master’s candidates, and has successfully guided several to thesis and dissertation completion. His lab is affiliated with multiple research centers including the Alabama Center for the Advancement of AI, Center for Advanced Manufacturing, and Center for Advanced Public Safety. He is involved in outreach and education, including mechatronics workshops and seminar hosting. Current projects include exosuits for spine support and robotic systems for mobility in extreme environments. Laboratory and Team: The Agile Robotics Lab (ARL@UA) fosters interdisciplinary research in nature-inspired robotics, combining principles from biology, mechanics, and control. The team has hosted eminent scholars and is featured in university and college news for its innovative work on wearable robotics and soft manipulators.

• Robotics
• Soft Robotics
• Tensegrity Robotics
• +12 more