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Ambuj VarshneyView profile

Assistant Professor

• Wireless Communication
• Internet of Things
• Embedded Systems
• +4 more

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).

Qing LiView profile

Associate Professor

• Photonics
• Nanofabrication
• Quantum Information
• +3 more

Qing Li is an Associate Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), part of the College of Engineering. He holds a B.E. in Electronics Engineering from Tsinghua University (2006) and a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (2013). Prior to CMU, he worked as a postdoctoral researcher at the National Institute of Standards and Technology (NIST), where he developed quantum frequency conversion and microresonator-based optical systems. His research focuses on light-matter interactions in integrated photonics, emphasizing nonlinear optics and quantum information processing. He has pioneered silicon carbide and aluminum nitride platforms for chip-scale quantum technologies and optical metrology. Dr. Li has been recognized with prestigious awards including the Darpa Young Faculty Award (2019), OSA Paul F. Forman Team Engineering Excellence Award (2020), and Sigma Xi Best Ph.D. Thesis Award (Georgia Tech). His work bridges classical and quantum information systems, with applications in secure communication, atomic systems interrogation, and high-precision frequency synthesis. He actively contributes to the Pittsburgh Quantum Institute (PQI), advancing regional quantum engineering initiatives. His research group’s key projects include developing compact optical frequency synthesizers, soliton microcombs for communication grids, and entangled photon pair sources for quantum networks. Grants and collaborations support his exploration of novel photonic materials and devices, targeting advancements in both fundamental science and applied technologies.

• Radiotherapy
• Medical Imaging
• Clinical Imaging
• +3 more

Dr. Mark Gardner is a Research Fellow in Clinical Imaging at the ACRF Image X Institute, part of the University of Sydney's Sydney School of Health Sciences and Faculty of Medicine and Health. His work focuses on advancing radiation therapy and medical imaging technologies, with particular emphasis on improving treatment accuracy and patient comfort. Gardner holds a PhD from Flinders University, completed in collaboration with the Medical Device Research Institute, and has held research roles at the Cystic Fibrosis Airway Research Group (CFARG). His current projects include the Nano-X radiation therapy device and the Remove the Mask initiative , which aims to eliminate immobilization masks in head and neck cancer treatments. Gardner is affiliated with organizations like the IEEE Engineering in Medicine and Biology Society and the American Association of Physicists in Medicine. Research interests span radiation oncology, translational research in medical imaging, and device innovation. His work integrates advanced imaging techniques (e.g., synchrotron X-rays, cone-beam CT) with machine learning and wearable sensors to address challenges in respiratory therapy and tumor targeting. Notable contributions include developing real-time motion tracking for radiation therapy and improving mucociliary transport measurements. Awards: FameLab 2020 State Finalist, 2018 Medtech e-Challenge Winner, 2017 3MT Runner-Up Grants/Projects: Nano-X radiation therapy development, Remove-the-Mask surface-guided system Collaborations: Industry partnerships, multi-institutional research networks Gardner advises Chen Cheng on real-time head/neck motion monitoring during radiation therapy. His lab contributes to open-source tools and preclinical imaging advancements, bridging engineering and clinical oncology.

• Statistical Seismology
• Seismic Hazard Assessment
• Induced Seismicity
• +3 more

Dr. Laura Gulia is a Researcher at the Swiss Seismological Service (SED) affiliated with ETH Zurich. As the Principal Investigator of the ERC Advanced Grant FARIA, her work focuses on statistical seismology, earthquake forecasting, and induced seismicity. She pioneered the Foreshock Traffic Light System (FTLS), a real-time tool to distinguish between aftershock decay and foreshock sequences, published in Nature (2019) and further developed in Seismological Research Letters (2024). Her research emphasizes b-value analysis, data quality validation, and correlations between seismic activity and reservoir compaction rates in induced seismicity. Key Affiliation: Swiss Seismological Service (SED), ETH Zurich Grants: ERC Advanced Grant FARIA Her research interests include: - Real-time seismic hazard assessment - Artifact detection in seismic catalogs - Macroseismic data analysis using citizen-reported intensity data - Link between gas production and induced seismicity in Groningen Her publications demonstrate advancements in: - Foreshock/aftershock differentiation algorithms - Quantifying induced seismicity risks through b-value metrics - Integrating citizen science data for rapid earthquake response Awards: ERC Advanced Grant FARIA (2020) Advising and Collaborations: - Leading the FTLS development team at SED - Collaborating with European Mediterranean Seismological Centre (EMSC) on real-time macroseismic systems - Contributing to the Groningen gas field seismicity monitoring Labs/Teams: - Swiss Seismological Service (SED) research group - ERC-funded FARIA project consortium

• X-ray Physics
• Synchrotron Radiation
• Medical Imaging
• +5 more

Benedikt Günther is a research scientist at the Technical University of Munich (TUM) working within the Chair of Biomedical Physics led by Prof. Dr. Franz Pfeiffer. His research focuses on the Munich Compact Light Source (MuCLS), a laboratory-scale inverse Compton X-ray source that provides synchrotron-like radiation for biomedical applications. Günther plays a key role in developing, optimizing, and characterizing this innovative technology, contributing to both its fundamental physics and practical medical applications. His primary research interests center around X-ray physics and imaging techniques, particularly laser enhancement cavities for inverse Compton X-ray sources, X-ray microscopy, dynamic phase-contrast imaging, and X-ray spectroscopy. Günther's work bridges fundamental physics with practical medical applications, developing instrumentation that brings synchrotron-quality imaging to conventional laboratory settings. His research has significant implications for improving medical diagnostics while making advanced imaging techniques more accessible. Analysis of Günther's publication record reveals a consistent focus on advancing compact X-ray source technology and its applications. His work demonstrates expertise in both theoretical modeling and experimental implementation, with publications spanning instrument development, imaging techniques, and specific medical applications. The research shows progression from fundamental source characterization to increasingly sophisticated biomedical applications, particularly in breast imaging, dental diagnostics, and materials science. 2019 Best Poster Award at the combined meeting of the 68th Denver X-ray Conference (DXC) & 25th International Congress on X-ray Optics and Microanalysis (ICXOM) for 'Full-Field Structured Illumination Super-Resolution X-ray Transmission Microscopy' Günther regularly presents his work at major international conferences including the International Particle Accelerator Conference, High-Brightness Sources and Light-driven Interactions Congress, and specialized X-ray imaging meetings. His research is conducted within the Munich Compact Light Source facility, a collaborative project involving physicists, engineers, and medical researchers working to develop laboratory-scale synchrotron technology for widespread biomedical use.

Guo PingView profile

Associate Professor

• Precision Engineering
• Intelligent Metrology
• Advanced Manufacturing Technologies
• +5 more

Guo Ping is an Associate Professor of Mechanical Engineering at Northwestern University, leading the Advanced Intelligent Manufacturing Laboratory (AIM). His research focuses on precision manufacturing, intelligent metrology via deep learning, and advanced manufacturing applications. He holds a Ph.D. from Northwestern University and a B.S. in Automotive Engineering from Tsinghua University. Education: Ph.D. in Mechanical Engineering, Northwestern University, Evanston, IL B.S. in Automotive Engineering, Tsinghua University, Beijing, China Research Interests: Dr. Guo’s work emphasizes innovations in precision engineering, including ductile-regime machining, smart metrology systems, and robotics-driven manufacturing. Key areas include structural coloration, additive manufacturing, and human-robot collaboration in industrial settings. His lab explores cutting-edge techniques like ultrasonic vibration machining and machine learning for defect detection and process optimization. Publications Trends: Recent work spans AI-driven quality control (e.g., photometric stereo networks), robotic swarm patterning, and wearable fatigue monitoring systems. His research bridges machine learning, robotics, and traditional manufacturing to address scalability and precision challenges. Awards: F.W. Taylor Medal (CIRP, 2023) ASME Kornel F. Ehman Manufacturing Medal (2021) SME Outstanding Young Manufacturing Engineer Award (2020) Professional Service: Associate Editor of the Journal of Manufacturing Processes (2017–present). Active in organizing conferences and reviewing for top journals. Labs & Teams: Directs the AIM Lab, which integrates robotics, AI, and advanced materials to solve problems in precision fabrication and smart manufacturing. Current projects include structural coloration for anti-counterfeiting and fatigue prediction in industrial workers.

Kaye MorganView profile

Associate Professor

• X-ray Imaging
• Phase Contrast X-ray Imaging
• Dark-field Imaging
• +4 more

Kaye Morgan is an Associate Professor in the School of Physics and Astronomy at Monash University, specializing in X-ray imaging technologies with applications in medical and respiratory research. She holds an Australian Research Council Future Fellowship and has held prestigious positions including a Hans Fischer Fellowship at Technische Universität München. Her research focuses on advancing X-ray optics methodologies, particularly phase contrast X-ray imaging (PCXI) and dark-field imaging, to enhance resolution, speed, and sensitivity. These techniques are applied to study airway health in cystic fibrosis and other respiratory diseases, using synchrotron facilities like SPring-8 and the Munich Compact Light Source. She has pioneered single-grid imaging and propagation-based dark-field approaches, enabling real-time visualization of lung dynamics and treatment efficacy. Morgan leads multiple high-impact projects funded by ARC and international collaborations, with over 85 publications in journals like Optics Express and Scientific Reports. Her work contributes to UN Sustainable Development Goals related to health and innovation. Key achievements include developing lab-based X-ray sources for clinical translation and quantifying lung microstructure through advanced imaging algorithms.

Matthew R. EdwardsView profile

Assistant Professor

• Plasma Physics
• Laser Technology
• Optical Diagnostics
• +4 more

Matthew R. Edwards is an Assistant Professor of Mechanical Engineering at Stanford University, affiliated with the School of Engineering. His research focuses on high-power lasers and plasma physics, developing optical diagnostics for fluids and plasmas, and exploring light-matter interactions. He holds a PhD and prior degrees from Princeton University in Mechanical and Aerospace Engineering, followed by a Lawrence Fellowship at Lawrence Livermore National Laboratory. Education : PhD in Mechanical and Aerospace Engineering, Princeton University (2019) MA in Mechanical and Aerospace Engineering, Princeton University (2015) BSE in Mechanical and Aerospace Engineering, Princeton University (2012) Research Interests : Edwards' work bridges mechanical engineering and plasma physics, emphasizing ultrafast laser-plasma interactions, plasma-based optical components, and applications in energy science. His lab, the SAPPHIRE Laser Laboratory, explores femtosecond laser technologies for creating novel optical elements (e.g., plasma gratings, holographic lenses) and advancing laser-driven particle acceleration, fusion research, and diagnostic tools. Key areas include: Design of plasma-based optical components for high-power laser control Simulation of laser-matter interactions at relativistic intensities Development of compact light and particle sources Research Trends : His recent articles (2024–2025) highlight advancements in plasma gratings, relativistic birefringence, and laser wakefield acceleration. Notable contributions include ionization-based compression of ultrafast laser pulses and polarization control in underdense plasmas. Awards/Grants : No awards explicitly listed, but his Lawrence Fellowship indicates prior recognition. His work aligns with grants in plasma physics and laser technology. Labs/Teams : He leads the SAPPHIRE Laser Laboratory , collaborating with the PULSE Institute and National Ignition Facility (NIF) on plasma optics and high-energy laser applications.

• Plasma Physics
• Accelerator Technology
• X-ray Science
• +3 more

Prof. Matthias Fuchs is a Professor and Head of Department for Accelerator Research and Development I at the Karlsruhe Institute of Technology (KIT). His research focuses on advanced accelerator technologies, laser-plasma acceleration, and ultrafast X-ray science. He is affiliated with the IBPT group (Institut für Beschleunigerphysik und Teilchenphysik) and coordinates activities at the Department of Physics. His work bridges fundamental plasma physics with applied accelerator engineering, aiming to develop next-generation compact light sources and ultra-short wavelength technologies. Research interests include laser-plasma electron acceleration, quasi-isochronous storage ring dynamics, and nonlinear X-ray optics. His team explores parametric excitation mechanisms, high-order beam dynamics, and novel X-ray wave mixing phenomena in materials like silicon. Collaborations involve developing predictive laser stabilization techniques and high-bandwidth imaging systems for precision experiments. No scientific awards are explicitly listed, but his contributions to the Snowmass 2021 report on advanced accelerators highlight his influence in the field. He leads the Accelerator Research and Development I group, overseeing projects like the FLUTE compact storage ring commissioning and compact transverse deflecting system experiments. His lab work focuses on creating tunable X-ray sources and studying betatron radiation generation through transverse oscillating bubbles in plasma.

Karl KrushelnickView profile

Professor

• Basic relativistic plasma studies
• Table-top particle accelerators
• Ultra-strong magnetic fields
• +3 more

Karl Krushelnick is a Professor in the Department of Nuclear Engineering and Radiological Sciences at the University of Michigan, serving as Director of the Center for Ultrafast Optical Science (CUOS) and Associate Director for High Field Science. His research focuses on high-intensity laser-plasma interactions, relativistic electron beams, and applications in radiation generation, magnetic reconnection, and biomedical sensing. Research Interests: Basic relativistic plasma studies Table-top particle accelerators Ultra-strong magnetic fields Ultrafast laser technology Quantum electrodynamics (QED) in extreme light regimes Key Trends in Publications: Krushelnick’s recent work investigates zettawatt-equivalent laser experiments, orbital angular momentum effects on laser absorption, magnetic reconnection dynamics, and neutron generation mechanisms. His team explores laser wakefield acceleration, betatron X-ray diagnostics, and filamentation control for advanced applications in physics and engineering.

O.J. LuitenView profile

Professor

• Quantum Physics
• Materials Science
• Nanotechnology
• +4 more

O.J. Luiten is Full Professor in the Coherence and Quantum Technology group at Eindhoven University of Technology. His research focuses on fundamental quantum physics, materials science, nanotechnology, and life sciences, with emphasis on improving temporal resolution in electron microscopy and developing ultracold electron sources. He leads the Coherence and Quantum Technology group and is a core member of ICMS. His research interests center on quantum materials, ultrafast electron microscopy, and coherent light-electron interactions. Key areas include: Ultracold plasma applications for high-coherence electron sources Coherent manipulation of electron beams using laser light X-ray generation via electron beams His publications demonstrate a consistent focus on advancing charged particle beam technologies and light-matter interactions, with recent work emphasizing compact X-ray sources, ultrafast microscopy, and quantum electron manipulation. Scientific Awards: Smart*Light: Een tafelmodel synchrotron (2016) He leads multiple research projects including 'ICS-SAXS: Hard X-ray metrology' and 'Smart*Light 2.0', collaborating with institutions like ASML. Manages labs for ultrafast electron microscopy and quantum beam technology.

Léo BigorgneView profile

Researcher

• Partial Differential Equations
• Plasma Physics
• General Relativity
• +3 more

Léo Bigorgne is a CNRS Research Fellow (Chargé de recherche CNRS) at the University of Rennes 1, affiliated with the Rennes Institute of Mathematical Research (IRMAR). He works within the Partial Differential Equations team of the IRMAR laboratory, focusing on mathematical problems arising from plasma physics and general relativity. Dr. Bigorgne's research primarily centers on the asymptotic analysis of equations from plasma physics and general relativity. His work extensively investigates the Vlasov-Maxwell and Vlasov-Poisson systems, with particular focus on: Asymptotic behavior and decay estimates of solutions Scattering theory for kinetic equations Global existence results for small data solutions Mathematical analysis of Vlasov equations in curved spacetimes Applications to plasma physics and gravitational physics His publication record demonstrates consistent contributions to top mathematical physics journals including Communications in Mathematical Physics, Annales Henri Poincaré, and SIAM Journal on Mathematical Analysis. Dr. Bigorgne frequently collaborates with international researchers, particularly with members of the Velozo Ruiz family on various aspects of Vlasov equations. Dr. Bigorgne maintains an active research program with publications spanning from 2017 to projected 2025, indicating ongoing significant contributions to mathematical physics. His work bridges pure mathematics with applications in theoretical physics, particularly in understanding the mathematical foundations of plasma dynamics and gravitational physics.

Pasquale ScarlinoView profile

Assistant Professor

• Quantum Computing
• Hybrid Quantum Circuits
• Semiconductor-Superconductor Interfaces
• +6 more

Pasquale Scarlino is a Tenure Track Assistant Professor in the Institute of Physics at École Polytechnique Fédérale de Lausanne (EPFL), where he founded and leads the Hybrid Quantum Circuits (HQC) Laboratory. He holds a dual appointment with the School of Basic Sciences (SB) and the Physics Section (SB-SPH), conducting research at the intersection of semiconductor and superconducting quantum technologies. His laboratory develops hybrid quantum hardware for advanced quantum information processing. His educational background includes a Master's degree in Physics from the University of Salento (Italy, 2011), where he was a student of Scuola Superiore ISUFI, followed by a Ph.D. from TU Delft (2016) in the Spin Qubits group of Prof. L.M.K. Vandersypen at the Kavli Institute of Nanoscience-Qutech. His doctoral work focused on Si/SiGe spin qubits in collaboration with the M. Eriksson Group at Wisconsin University. Scarlino's research centers on experimental quantum physics using hybrid superconductor/semiconductor devices with electrostatically defined quantum dots coupled to high-impedance microwave resonators. He investigates light-matter interactions in unconventional regimes, quantum transport in low-dimensional systems, and spin/charge qubit implementations. His work aims to merge semiconductor and superconducting platforms to expand quantum information capabilities, with applications in quantum computing, quantum optics, and analog quantum simulation. Early career achievements include establishing the first coherent interface between superconducting and semiconducting quantum systems using high-impedance resonators. His publication record shows strong focus on microwave photon-mediated interactions between quantum systems, with recent work exploring quantum acoustics, topological band engineering, and criticality-enhanced sensing. The articles demonstrate increasing specialization in hybrid quantum hardware, with a shift toward germanium-based systems and advanced resonator designs in the latest publications. Scarlino has advised eleven Ph.D. students at EPFL and teaches courses including General Physics (Electromagnetism), Solid State Systems for Quantum Information, and Introduction to Quantum Science and Technology. His teaching emphasizes experimental quantum hardware approaches and critical assessment of quantum computing platforms. The Hybrid Quantum Circuits Laboratory operates within EPFL's Institute of Physics, utilizing state-of-the-art nanofabrication facilities and cryogenic measurement setups. The team collaborates extensively with leading quantum research groups worldwide, maintaining strong ties with previous institutions including ETH Zurich, TU Delft, and Microsoft Station Q Copenhagen.

Taehyung KimView profile

Associate Professor

• Power Electronics
• Motor Drives
• Automotive Engineering
• +3 more

Taehyung Kim is an Associate Professor at the University of Michigan-Dearborn in the Department of Electrical and Computer Engineering , College of Engineering and Computer Science. His research focuses on power electronics , motor drives , and electric/hybrid power systems for vehicles and aircraft , with an emphasis on renewable energy integration and fault-tolerant control . Education Ph.D., Electrical & Computer Engineering, Texas A&M University M.S., Electrical Engineering, Korea University B.S., Electrical Engineering, Korea University His research interests include energy conversion systems, power electronics for electric vehicles, evaluation and diagnosis of AC motors, and position sensorless control of permanent magnet motors. He leads the KIM Laboratory , which explores unmanned aerial vehicles (UAVs) , battery systems , and powertrain reliability . The 15 most recent articles (2024-2021) highlight his work on hybrid UAVs , fault detection algorithms , cost-effective converters , and powertrain optimization . These publications span power electronics , renewable energy integration , and electric propulsion systems , with applications in transportation electrification and industrial power systems . Scientific Awards NSF Mid Career Advancement Award, 2023 IEEE-IAS Prize Paper Award (2nd Place), 2012 Best Paper Award, IEEE Transportation Electrification Conference, 2021 Listed in "World Top 2% Scientists" (Stanford University, 2020-2024) Listed in Marquis Who’s Who in America Technical Program Co-Chair, 2009 IEEE Vehicle Power and Propulsion Conference Prof. Kim has advised numerous PhD and Master’s students , including Feng Zhou , Sreekanthreddy Chalapala , and Sahithya Parvathareddy . He has secured significant grants from the NSF , Department of Energy , and industry partners like Ford, focusing on smart monitoring , fault identification , and energy management for electrified systems. His lab’s facilities include advanced power electronics labs and hybrid powertrain testing environments .

Rachel GrangeView profile

Professor

• Nanophotonics
• Nonlinear Optics
• Quantum Optics
• +3 more

Rachel Grange is a Full Professor in the Department of Physics at ETH Zurich and Head of the FIRST Center for Micro- and Nanoscience. Her research focuses on nanoscale material investigations, particularly using metal-oxides like lithium niobate and barium titanate for classical and quantum photonic devices. Education: Ph.D. in Ultrafast Laser Physics from ETH Zurich (2006). Career: Postdoctoral work at EPFL (2007–2010), group leader at Friedrich Schiller University in Jena (2011–2014), and progressive roles at ETH Zurich since 2015 (Assistant Professor, Associate Professor, Full Professor from 2025). Her recent work emphasizes integrated photonic platforms for quantum computing, nonlinear optics, and miniaturized electro-optic spectrometers. She explores both top-down and bottom-up fabrication techniques for nanophotonic structures, with applications in neuromorphic computing and mid-infrared communication. Grange leads the FIRST Center, advancing micro- and nanoscience technologies. She teaches courses like Nanomaterials for Photonic Devices and contributes to the development of scalable photonic systems for next-generation computing and quantum technologies.