Professor Steve G Burrow is a faculty member at the School of Civil, Aerospace and Design Engineering at the University of Bristol. His research focuses on energy harvesting, vibration control, and environmental sensing, particularly in aerospace and glaciological contexts. Professor of Aircraft Systems Member of the Cabot Institute for the Environment Active in Dynamics and Control research themes His work in energy harvesting emphasizes electromagnetic transducers and nonlinear resonant structures, while environmental sensing involves deploying sensors under ice sheets to study glacial hydrology. Recent articles highlight inerter-based suspension systems, vibration absorber optimization, and broadband energy harvesting techniques. Collaborations span nonlinear mathematics, glaciology, and structural dynamics. No scientific awards were explicitly mentioned, but his research outputs demonstrate extensive contributions to power electronics and sustainable technologies.
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.
Chen Ran, PhD, is an Assistant Professor in the Department of Neuroscience at Scripps Research in San Diego. His laboratory focuses on understanding how the brain processes internal sensory signals from visceral organs, such as hunger, satiety, nausea, and visceral pain. Using advanced techniques like in vivo two-photon calcium imaging, optogenetics, and circuit tracing, his team maps the functional architecture of brainstem circuits responsible for interoceptive processing. Key contributions include the discovery of a 'visceral homunculus' in the brainstem and the development of novel calcium indicators for high-resolution neuronal activity tracking. Education : PhD in Biology, Stanford University (2017) Bachelor of Science in Biology, Peking University (2011) Research Interests : Dr. Ran’s work integrates experimental and analytical approaches to decode how visceral stimuli are transduced into conscious sensations. Current projects investigate the coding logic of mechanical, chemical, and thermal signals from internal organs, with implications for developing therapies for obesity, diabetes, visceral pain, and eating disorders. The lab employs cutting-edge tools to visualize and manipulate neural circuits in awake behaving mice, linking circuit-level activity to physiological states. Awards & Honors : NARSAD Young Investigator Award (2022) NIH K01 Career Development Award (2023) Simons Collaboration on the Global Brain Award (2022) Harvard Brain Science Initiative Award (2021) Grants & Funding : Supported by NIH, Simons Foundation, and private philanthropy, his research bridges basic science and translational medicine. Current grants focus on brainstem circuit mapping and developing therapeutic targets for interoceptive disorders. Labs & Affiliations : Dr. Ran leads an interdisciplinary team at Scripps Research’s Neuroscience Department, collaborating with engineers, geneticists, and clinicians to advance interoceptive neuroscience.
Jørgen Arendt Jensen is a Professor of Biomedical Signal Processing at the Technical University of Denmark (DTU), with dual affiliations in the Department of Health Technology and the Department of Electrical Engineering (DTU Elektro). He leads the Center for Fast Ultrasound Imaging (CFU), a collaborative initiative involving DTU, BK Medical, Rigshospitalet, and DTU Nanotech. His research focuses on advanced medical ultrasound technologies, including synthetic aperture imaging, vector flow imaging, and ultrasound simulation, aiming to improve clinical image acquisition efficiency and accuracy. He teaches medical imaging courses and co-initiated the joint biomedical engineering program between DTU and the University of Copenhagen. Jensen’s work contributes to UN Sustainable Development Goals related to health and innovation. His research interests span algorithm development for fast ultrasound imaging, blood velocity characterization, and simulation of ultrasound systems. He supervises multiple PhD students and collaborates on projects involving transducer design, real-time imaging systems, and microvascular pathology analysis. Recent publications emphasize advancements in super-resolution ultrasound imaging, transducer optimization, and pressure gradient estimation. His lab, CFU, develops cutting-edge imaging solutions for clinical applications. Jensen’s contributions include patents on ultrasound imaging techniques and collaborative ventures to enhance diagnostic capabilities through interdisciplinary engineering.
Snorre Aunet is a Professor at the Department of Electronic Systems at the Norwegian University of Science and Technology (NTNU), with additional roles as an Adjunct Professor at the Department of Informatics, University of Oslo. His academic career spans institutions in Norway, Germany, and the USA, including sabbaticals at Bielefeld University and University of California, San Diego. Education: Electronics Engineering (Trondheim Technical College, 1987), Informatics (UiO, 1993), and Physical Electronics (NTNU, 2002) Research Focus Dr. Aunet specializes in ultra-low-power mixed-signal integrated circuits and nanoscale CMOS technologies . His work includes innovative MEMS transducer designs for energy harvesting, digital IC development, and robust circuit solutions for emerging semiconductor challenges. Recent Publications His recent contributions include advancements in MEMS technology for sustainable energy systems, editorial leadership at NorCAS conferences, and policy discussions on the European Chips Act. These reflect expertise in both cutting-edge design and strategic technology development. Scientific Recognition 2019: Elected to Norwegian Academy of Technical Sciences (NTVA) 2015: Best Paper Award at Asia Symposium on Quality Electronic Design 2006: IEEE Senior Member (Electron Devices Society) 2003: Best Poster Award at Int'l Conf. on Evolvable Systems Leadership & Grants He has chaired multiple IEEE conferences and contributed to projects like Robust Ultra-Low-Power Circuits for Nano-Scale CMOS (NTNU/University of Paderborn). His career combines academic leadership with industry collaboration through Nordic Semiconductor and international research councils.
John M. Nichol is an Assistant Professor in the Department of Physics and Astronomy at the University of Rochester, where he has conducted experimental quantum research since 2016 following postdoctoral work at Harvard University. His work bridges fundamental quantum mechanics and applied quantum computing development. Education: B.A. in Physics, St. Olaf College (2006) Ph.D. in Physics, University of Illinois at Urbana-Champaign (2013) Postdoctoral Associate, Harvard University Nichol's research centers on experimental quantum information processing using semiconductor nanostructures, with primary focus on electron spin qubits in quantum dots. His lab investigates quantum coherence mechanisms, develops noise-resilient control protocols for spin qubits, and explores quantum information transfer across spin chains. Key initiatives include engineering novel materials for extended qubit lifetimes, implementing dynamical decoupling techniques to combat decoherence, and studying many-body quantum phenomena in engineered spin systems. This work directly addresses scalability challenges in solid-state quantum computing. Analysis of Nichol's 2021-2025 publications reveals dominant themes in semiconductor spin qubit optimization, with 80% of papers addressing coherence preservation through charge noise mitigation and advanced control methods. His research increasingly integrates hybrid quantum systems, combining spin qubits with acoustic wave devices and superconducting resonators. Recurring subfields include Si/SiGe heterostructure engineering, quantum fluctuator characterization, and quantum simulation using spin chains - reflecting a strategic focus on overcoming material limitations in quantum hardware. Scientific Awards: National Science Foundation CAREER award Google Research Scholar Award Leonard Mandel Faculty Fellow Award Nichol's research program is supported by competitive grants including the NSF CAREER award (funding coherence enhancement research) and Google Research Scholar Award (supporting quantum control innovations). His laboratory trains graduate students in nanofabrication, cryogenic measurement techniques, and quantum device characterization, with emphasis on translating fundamental discoveries into practical quantum computing components. Current projects focus on long-distance quantum state transfer and error-corrected multi-qubit operations. The Nichol Lab operates specialized facilities for quantum dot device fabrication and millikelvin transport measurements at the University of Rochester. His team collaborates with materials scientists on heterostructure growth and theorists on quantum simulation protocols, maintaining strong ties with semiconductor industry partners for advanced material development. Recent expansions include acoustic wave integration platforms for hybrid quantum systems.
Maria Chikina is an Assistant Professor at the University of Pittsburgh School of Medicine's Department of Computational and Systems Biology. She holds a PhD in Molecular Biology from Princeton University. Her research focuses on developing computational methods to analyze large-scale genomic datasets, bridging statistical rigor with biological insights to overcome experimental biases. Key research areas include latent variable modeling (e.g., PLIER, CellCODE), interpretable neural networks for sequence-to-function modeling, evolutionary rate analysis (RERconverge), and applications in tumor immunology, exercise genomics, and infectious disease (e.g., SARS-CoV-2). Her lab has developed tools like InstaPrism, NIFA, and L0 segmentation for data-driven biological discovery. Her work spans collaborations with institutions like UPMC (on tumor microenvironment) and the Molecular Transducers of Physical Activity Consortium (MoTraPAC). Notable projects include analyzing convergent evolution in marine mammals and subterranean species, and developing epigenetic biomarkers for disease states through the ECHO program. Lab members include PhD students (Rezwan Hosseini, Tugrul Balci) and postdocs (Tina Subic, Anish Sevekari). Past students Wynn Meyer now leads a group at Lehigh University. Her group emphasizes open-source tools (GitHub repository ChikinaLab) and interdisciplinary approaches to systems biology challenges.
Dr. Nicholas Broskey is an Associate Professor in the Department of Kinesiology at the College of Health and Human Performance, East Carolina University. His research bridges translational science and clinical practice, focusing on skeletal muscle physiology and mitochondrial biology to address metabolic diseases through exercise interventions. Dr. Broskey's work explores how maternal health during pregnancy programs infants' metabolic health outcomes, utilizing mesenchymal stem cell models to study developmental programming of obesity and diabetes. He combines clinical expertise in exercise prescription and metabolic assessment (e.g., hyperinsulinemic-euglycemic clamp, indirect calorimetry) with basic science techniques to evaluate mitochondrial content and function. His recent publications highlight maternal exercise effects on offspring metabolism, mitochondrial heterogeneity in racial health disparities, and bioenergetic adaptations in cancer cells. Grants from NIH, Brody Brothers' Foundation, and Duke University support his research on maternal-fetal metabolic programming and exercise transducers. Scientific Awards Outstanding Researcher or Creative Activity Award 2023-2024 Early Career Grant Challenge 2018 Endowed Postdoctoral Fellowship 2015 Best Poster 2012 Dr. Broskey actively serves on editorial boards for Clinical Experimental Obstetrics and Gynecology (2023) and International Journal of Sports Medicine (2022).
Amit Lal is a Professor in the School of Electrical and Computer Engineering at Cornell University, with affiliations in Biomedical Engineering, Applied Engineering Physics, and Mechanical and Aerospace Engineering. He is a member of key research centers including Cornell CCMR, NBTC, and KAUST-CU. Education: B.S. in Electrical Engineering, California Institute of Technology, 1990 Ph.D. in Electrical Engineering, University of California, Berkeley, 1996 Prof. Lal's research focuses on the development of integrated microsystems using micro- and nanoscale fabrication. His work spans ultrasonic MEMS, low-power IoT sensors, atomic microsystems, and bio-robotics. He directs the SonicMEMS Laboratory, advancing technologies in GHz ultrasonics, inertial sensing, and chip-scale manipulation of particles. His interdisciplinary interests include biomedical imaging, solid-state devices, nanotechnology, and plasma science. His recent publications highlight innovation in energy harvesting, MEMS gyroscopes, and biologically integrated systems. The works reflect strong trends in autonomous sensing, miniaturized power sources, and hybrid bio-electromechanical systems, particularly for medical and navigation applications. Scientific Awards and Honors: NSF CAREER Award Whitaker Foundation Award Department of Defense Exceptional Service Award Best Program Manager Award, DARPA IEEE Ultrasonics and Frequency Control Symposium Best Paper Award IEEE NEMS Best Paper Award Robert M. Scharf 1977 Professor, Cornell Engineering HHMI Visiting Scientist, Janelia Farms Intel Fellowship (awarded to advisee) Prof. Lal has advised numerous students who have gone on to win awards and publish impactful research. He has secured significant research funding through DARPA and other agencies, managing and initiating multiple high-impact programs. His leadership extends to service on technical committees for IEEE conferences and journals, including Transducers and the IEEE Sensors Council. He has also contributed to academic recruiting within ECE. He leads the SonicMEMS Laboratory , a multidisciplinary research group focused on transforming sensing, communication, and computation at the microscale. The lab fosters collaboration across engineering and life sciences, pushing the boundaries of what integrated microsystems can achieve.
Facundo M. Fernandez is a Regents' Professor and Vasser-Woolley Chair in Bioanalytical Chemistry at the Georgia Institute of Technology, where he leads the Fernandez Research Group within the School of Chemistry and Biochemistry in the College of Sciences. His research spans multiple cutting-edge areas of analytical chemistry with significant applications in medicine, forensics, and basic science. Dr. Fernandez earned his M.Sc. in Chemistry (1996) and Ph.D. in Analytical Spectrometry/Metallomics (1999) from the Facultad de Ciencias Exactas y Naturales at Buenos Aires University, Argentina. His research program focuses on Bioanalytical Mass Spectrometry with particular emphasis on Ambient Sampling/Ionization & Molecular Imaging, Ion Mobility Spectrometry, Metabolomics, and Pharmaceutical Forensics. His work has pioneered new approaches in ambient ionization techniques that enable direct analysis of complex samples without extensive preparation. His recent publications reveal a strong trend toward spatial metabolomics, particularly in traumatic brain injury and ovarian cancer research, with increasing integration of machine learning approaches for data analysis. His work also extends to pharmaceutical quality control, exercise physiology through the MoTrPAC consortium, and prebiotic chemistry investigations. The interdisciplinary nature of his research is evident in collaborations across Georgia Tech's campus and with external institutions. NSF CAREER Award (2007) 3M Non-tenured Faculty Award (2008) CETL/BP Junior Faculty Teaching Excellence Award (2009) Ron A. Hites Award for Outstanding Research Publication (2010) Sigma Xi (GT Chapter) Best Faculty Paper Award (2010) Vasser-Wooley Faculty Fellow (2012) Dr. Fernandez has secured significant funding for his research, including NSF CAREER support, and leads projects related to metabolomics for ovarian cancer detection, pharmaceutical forensics through the CODFIN network, and participation in the large-scale Molecular Transducers of Physical Activity Consortium (MoTrPAC). His laboratory develops advanced instrumentation for mass spectrometry applications and maintains strong collaborations with the Integrated Cancer Research Center, the College of Computing, and the Center for Chemical Evolution at Georgia Tech.
Gianmarco Pinton is an Associate Professor in the Department of Biomedical Engineering at the University of North Carolina at Chapel Hill. His research focuses on nonlinear ultrasound and mechanical wave propagation, with applications to medical imaging and therapy. He specializes in traumatic brain injury, shear shock waves, and ultrasound therapy. Ph.D., M.S., and B.S.E. in Biomedical Engineering/Physics from Duke University His lab develops physics and simulation tools for nonlinear wave propagation, aiming to create advanced diagnostic ultrasound methods. Key areas include traumatic brain injury, transcranial imaging, and therapeutic ultrasound. His recent work explores super-resolution imaging, brain motor circuits, and Alzheimer's disease vascular mapping using ultrasound. Article trends highlight innovations in transcranial ultrasound, super-resolution techniques, lung imaging, and neuromodulation. His publications address image degradation, contrast agents, and shear wave dynamics in neurological contexts.
Songbin Gong is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana Champaign, where he has been a faculty member since August 2013. He was promoted from Assistant Professor to Associate Professor in August 2019 and holds the Intel Alumni Fellowship. His research is centered at the Micro and Nanotechnology Lab, where he leads the Integrated RF Microsystems research group. Professor Gong's research focuses on RF and microwave photonics, microwave acoustics, and Micro-Electro-Mechanical Systems, with particular expertise in lithium niobate-based devices. His work spans the development of acoustic resonators, filters, and transducers operating from VHF to Sub-THz frequencies. Recent publications demonstrate significant advances in high-frequency acoustic devices, including GHz resonators with high electromechanical coupling and low loss characteristics. His research has direct applications in 5G communications, wireless sensing, and imaging systems. Gong has established himself as a leader in the field of RF MEMS and acoustic devices, with numerous high-impact publications in top journals including IEEE Transactions on Microwave Theory and Techniques, Journal of Microelectromechanical Systems, and Optics Express. His work shows a clear progression toward higher frequency operation, improved device performance, and novel integration approaches for next-generation communication systems. Among his notable achievements is the development of thin-film lithium niobate devices that overcome traditional frequency limitations of MEMS resonators, enabling operation beyond 10 GHz. This work addresses critical challenges in 5G and future wireless technologies where conventional approaches face scaling limitations. IEEE Ultrasonics Early Career Investigator Award DARPA Young Faculty Award 2014 NASA Early Career Faculty Award 2017 Intel Alumni Fellow 2017-present Multiple Best Paper Awards at major conferences including International Ultrasonic Symposium and International Microwave Symposium Professor Gong actively mentors graduate and undergraduate students, with several of his PhD students achieving notable success, including Ruochen Lu who joined UT Austin as a tenure-track assistant professor. His research group has secured significant funding from agencies including DARPA and NASA, supporting cutting-edge work in RF microsystems. The group maintains strong industry connections, particularly with Intel, reflecting the practical relevance of their research to commercial communication technologies. The Gong Research Group leverages micro/nano electro mechanical systems (N/MEMS), integrated photonic, and compound semiconductor technologies to develop chip-scale hybrid microsystems for RF communication, sensing, and imaging applications. Their current work focuses on pushing the boundaries of acoustic device performance while maintaining compatibility with standard semiconductor manufacturing processes.
Roman Obermaisser is a Professor at the Vienna University of Technology (TU Wien), affiliated with the Cyber-Physical Systems department. His research focuses on real-time systems, system architectures, communication protocols, safety-critical systems, distributed algorithms, and fault-tolerance. He holds a PhD in Computer Science from TU Wien, awarded in 2003 for his work on integrated architectures for control paradigms. His academic contributions span over two decades, with publications in top-tier conferences and journals. Key research themes include time-triggered architectures (TTA), fault containment in embedded systems, and integration of heterogeneous communication protocols like CAN and Ethernet. He has supervised numerous graduate students, contributing to advancements in system-on-chip (SoC) design, transient-resilient architectures, and diagnostic frameworks for real-time systems. Obermaisser’s work emphasizes practical applications in automotive and industrial systems, addressing challenges such as scalability, reliability, and composability. His involvement in projects like GENESYS and DECOS highlights his role in developing cross-domain reference architectures for embedded systems. Recent efforts include evaluating ontology-based reconfiguration and COTS-based Ethernet solutions for safety-critical networks. His articles reflect a focus on real-time communication protocols, fault-tolerant design, and system integration, with applications ranging from automotive networks to smart transducers. Advising over 20 students underscores his commitment to nurturing the next generation of embedded systems researchers.
Benyamin Davaji serves as an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University, where he joined in January 2022. He holds additional appointments as a Center Member of The Plastics Center and Core Faculty of the Institute for NanoSystems Innovation (NanoSI). His work bridges microsystems engineering, nanofabrication, and data science to develop next-generation sensing technologies. Dr. Davaji's educational background includes: Postdoctoral Associate in Electrical and Computer Engineering at Cornell University (2016-2021) Ph.D. in Electrical Engineering from Marquette University (2016) His research centers on integrated microsystems with emphasis on mechanical wave-based sensing and computation, ultrasound transducers, bio-interfaces, and microcalorimetry. The Autonomous Integrated Microsystems (AIMS) Laboratory combines physics with AI/ML to invent novel sensors and computational devices through advanced nanofabrication. Key thrusts include power-sustaining architectures and analog/digital computational integration. Recent publications (2024-2025) reveal strong trends in MEMS/NEMS optimization using digital twins, plasmonically enhanced infrared detection, ferroelectric actuators for high-speed scanning, and ultrasound-enabled metrology. His work increasingly integrates machine learning for design automation and process optimization across semiconductor manufacturing and flexible hybrid electronics. Dr. Davaji advises graduate students including Yilmaz Arin Manav (PhD'28), who won the FLEX 2024 Future Student Poster Award. He has secured over $3 million in competitive funding as PI/Co-PI, including a $550k NSF grant for MEMS actuators, $330k NSF grant for quantum detectors, and $2M DARPA grant for inertial sensors. He directs the interdisciplinary AIMS Laboratory focused on MEMS, ultrasound, and calorimetric technologies. The lab collaborates extensively with NanoSI and The Plastics Center, developing autonomous microsystems for biomedical, environmental, and industrial applications through advanced manufacturing techniques.
Soner Sonmezoglu is an Assistant Professor of Electrical and Computer Engineering at Northeastern University's College of Engineering. His research focuses on implantable and wearable medical devices enabled by advanced microelectronics and microfabrication for neurological, diagnostic, and therapeutic applications. He leads the Sonmezoglu Lab and has secured major grants including a $13M ARPA-H award for developing photoacoustic imaging systems for early lung cancer detection. Education: PhD in Electrical and Computer Engineering, UC Davis (2017) BSc and MSc in Electrical Engineering with a minor in Solid-State Physics, Middle East Technical University (2010-2012) Postdoctoral Researcher, UC Berkeley EECS (pre-2022) Research Interests: His work spans integrated circuits, micro/nano electromechanical systems (M/NEMS), neural interfaces, and medical device integration. Key projects include ultrasonic wireless neural interfaces and millimeter-scale oxygen sensors for deep-tissue monitoring. Current initiatives include the PAIL project for lung cancer diagnostics. Awards: UC Davis Graduate Division Fellowship Scientific and Technical Research Council of Turkey Graduate Fellowship Grants & Collaborations: Principal Investigator of ARPA-H's $13M PAIL initiative. Active in the Institute for NanoSystems Innovation, contributing to chip-level technology advancements. Labs/Teams: Directs the Sonmezoglu Lab at Northeastern, focusing on next-generation biomedical device innovation through interdisciplinary microsystems engineering.
