Kathryn A. Moler is a Research Fellow at Stanford University, leading the Moler Lab. Her work focuses on developing advanced magnetic imaging tools, particularly scanning SQUID (Superconducting Quantum Interference Device) microscopy, to investigate superconductivity and mesoscopic quantum mechanical effects at low temperatures. She is affiliated with the Department of Physics in the School of Humanities and Sciences. Research Interests: Dr. Moler’s research spans Superconductivity and superfluidity Magnetic field measurement at micro/nanoscale Quantum materials and phase transitions Strain effects on superconducting properties Spin-orbit coupling and topological superconductors Instrumentation for low-temperature studies Recent Articles highlight her work on vortex dynamics, superfluid density anomalies, and strain engineering in quantum materials like Sr 2 RuO 4 and nickelates. Her lab also develops tools such as nano-SQUID magnetometers and dry dilution refrigerators for advanced scanning probe microscopy. Scientific Awards: Packard Fellowship for Science and Engineering
Matti Hämäläinen is a Professor at the Department of Neuroscience and Biomedical Engineering , Aalto University. He is a leading expert in Magnetoencephalography (MEG) , with a focus on sensor design, neural connectivity, and clinical applications. His work contributes to understanding brain disorders like autism and epilepsy. Doctorate in Materiaalifysiikka, Teknillinen Korkeakoulu (1989) Diplomi-insinööri in Teknillinen Fysiikka, Teknillinen Korkeakoulu (1983) Hämäläinen's research spans MEG technology , auditory and visual cortex dynamics , and functional connectivity analysis . He develops open-source tools like MNE-Python and HNN-Core for neural data interpretation. Scientific Awards : None explicitly mentioned. He has led projects such as NIH Scalable Software for MEG/EEG and Device-Independent Real-Time MEG EEG Source Localization , with media coverage in outlets including Massachusetts General Hospital and Targeted News Service.
Dr. Avideh Zakhor is a Professor and Qualcomm Chair at the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. She is affiliated with several research centers including the Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Deep Drive Initiative, Video and Image Processing Lab, and Berkeley Center for New Media (BCNM). Her career spans over three decades with significant contributions to signal processing, 3D computer vision, robotics, and deep learning. 1983 B.Sc. in Electrical Engineering from Caltech 1985 S.M. in Electrical Engineering and Computer Science from MIT 1987 Ph.D. in Electrical Engineering and Computer Science from MIT Dr. Zakhor's research interests focus on 3D computer vision, autonomous systems and robotics, deep learning, and signal/image processing. Her work spans diverse areas including drone navigation, medical imaging analysis, indoor positioning, and building energy audits. She has led projects on drone-based 3D building reconstruction, legged robot locomotion, and melanoma detection using AI. The 15 most recent publications highlight her work in several key areas: person search pre-training techniques, drone-based indoor navigation and 3D modeling, medical image segmentation for melanoma detection, hexapod robot locomotion, and proximity detection for public health. These publications demonstrate her expertise at the intersection of computer vision, robotics, and AI applications. Dr. Zakhor has received numerous prestigious awards throughout her career: 2022 Winner of Phases 1 and 2, Department of Energy E-Robot Competition 2018 Electronic Imaging Scientist of the Year by SPIE 2004 Okawa Research Grant 2002 IEEE Fellow 1992 Office of Naval Research Young Investigator Award 1990 Presidential Young Investigator (PYI) Award from President George H.W. Bush 1990 Junior Faculty Development Award 1984-1988 Hertz Fellowship 1983 Henry Ford Engineering Award 1982-1983 General Motors Scholarship Dr. Zakhor has advised numerous research projects and has been involved in significant research grants. She has founded successful companies including Indoor Reality, which develops technologies for rapid 3D mapping and visualization of buildings and assets. She leads research initiatives in various cutting-edge technologies: Unmanned Aerial Vehicles (UAV) with focus on autonomy and obstacle avoidance, perception, path planning and control Deep learning applications in legged locomotion, unsupervised learning for multimodal sensors, misinformation detection, and learning-based image compression Wi-Fi proximity detection methods for contact tracing of diseases Temporal graphical neural networks for disease prediction Detection of small objects in ultra-high resolution images 3D reconstruction and recognition
Marcin Mrozowski is a Research Fellow in the Department of Physics at the University of Strathclyde, Faculty of Science. His work is centered on quantum sensing technologies, particularly optically pumped magnetometers, with applications in navigation, space weather, and biomedical diagnostics. His research focuses on the development of high-sensitivity, miniaturized, and low-noise atomic magnetometers. Key areas include zero-field detection, spin relaxation optimization, and portable systems for real-world deployment. He has contributed to advancements in cesium-based sensors and programmable current sources for magnetic field control. The recent publications reveal a strong trend toward practical quantum instrumentation—emphasizing performance, portability, and integration into distributed networks. His work bridges fundamental atomic physics with engineering applications in navigation, environmental monitoring, and medical sensing. Optically Pumped Magnetometers Quantum Sensing Atomic Physics Low-Noise Instrumentation Space Weather Monitoring Biomedical Magnetometry Mrozowski was a Research Co-investigator on the EPSRC-funded Translational Quantum Technology PhD Studentship (2019–2024), contributing to the development of quantum sensors for real-world deployment. He has collaborated extensively with Paul Griffin and Erling Riis. He has also engaged in public outreach, including participation in the Big Bounce 2021 science festival. He is affiliated with research labs focused on experimental quantum optics and precision measurement at Strathclyde, contributing to both hardware development and data acquisition systems for advanced magnetometry.
Ronny Stolz is Head of the Quantum Systems Department at the Leibniz Institute of Photonic Technology (Leibniz IPHT) in Jena, Germany. He also serves as head of the Magnetometry group at Leibniz IPHT since 2007 and head of the research group "Near surface geophysics" at Friedrich Schiller University in Jena since 2010. In 2022, he was appointed Honorary Professor at the Technical University of Ilmenau with a focus on Quantum Engineering. His educational background includes: State Doctorate degree in Physics (2006), Friedrich-Schiller-University Jena Ph.D. in Physics (1995), Friedrich-Schiller-University Jena Ronny Stolz's research focuses on cutting-edge quantum technologies, particularly in the development of superconducting and quantum electronics. His work spans quantum sensing and metrology using SQUID sensors and optically pumped magnetometers, quantum computation with superconducting qubits, superconducting radiation detectors, and hybrid superconducting and photonic circuits. His group develops high-precision measurement systems for applications in geophysical instrumentation, including SQUID-based receivers for electromagnetic measurements and Full Tensor Magnetic Gradiometry for exploration and archaeology. Analysis of his recent publications reveals a strong focus on advancing quantum sensing technologies, particularly in magnetometry and superconducting electronics. His work demonstrates a clear progression from fundamental quantum device development toward practical applications in security, mineral exploration, and scientific instrumentation. The research spans theoretical modeling, device fabrication, and real-world implementation across multiple disciplines including physics, engineering, and geophysics. Professor Stolz has received numerous prestigious awards for his contributions to quantum technology: SAGA 2024 Industry Innovation Award ESAS Award for Excellence, EUCAS2017, Geneva Gold medal from the International Trade Fair for "Ideas, Inventions, Innovations" (iENA) Thuringian Research Award, category Transfer International Mining Research Award for the IPHT team Innovations awards of IPHT (2003, 2005) Ron Ono Memorial Award, ISEC2003, Sydney With over 265 scientific papers, 150+ technical reports, 3 book chapters, and multiple patents including 4 patent families, Professor Stolz has established himself as a leading researcher in quantum technologies. His work has been supported by significant research grants that have enabled the development of advanced quantum sensing systems. He actively collaborates with industry partners through the European FLUXONICS foundry initiative, translating academic research into practical applications. Professor Stolz leads a multidisciplinary research team at Leibniz IPHT focused on quantum systems. The group maintains state-of-the-art fabrication facilities for superconducting electronics and collaborates with major research institutions including CERN and GSI. His laboratory specializes in the development of quantum magnetometers for geophysical applications and superconducting circuits for quantum computing interfaces.
Dr. Theo Scholtes is a researcher in the Quantum Systems department at the Leibniz Institute for Photonics (Leibniz-IPHT), specializing in quantum magnetometry and dark matter detection. He leads the Quantum Magnetometry working group and has developed advanced optically pumped magnetometer (OPM) systems for ultrasensitive magnetic field measurements. Key research areas: Quantum magnetometry, dark matter detection, sensor technology Notable collaborations: Global Network of Optical Magnetometers for Exotic physics searches (GNOME) His work focuses on overcoming technical limitations in OPMs, including dead zones, heading errors, and transient phase responses. He has pioneered innovations like the light-shift dispersed Mz mode, omnidirectional magnetic field sensitivity, and passivated gold mirror integration in alkali vapor cells. Recent publications (2023-2025) address vector magnetometry in Earth's magnetic field, dead-zone-free sensors, and domain wall detection for dark matter. Earlier work (2016-2020) includes laser stabilization techniques and magnetorelaxometry in biomedical contexts.
David Miles is an Assistant Professor at the University of Iowa , specializing in experimental space physics and magnetic field instrument development. His research focuses on space weather , auroral dynamics , and high-resolution magnetic field measurements . Instrument Co-PI for the Cassiope/e-POP spacecraft Developed a specialized furnace for manufacturing space-instrument components Co-created the course The Edge of Space: Mission and Instrument Design for Spaceflight His recent work involves magnetic interference mitigation and nanosatellite magnetometer design, with applications in missions like TRACERS and SelenITA. While no specific awards are mentioned, his contributions to international space programs are highlighted.
Dr. James Bennett is a Post-doctoral Research Fellow in the ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS) at Queensland University of Technology (QUT). He holds a PhD from The University of Queensland (UQ), supervised by Prof. Warwick Bowen, Prof. Halina Rubinsztein-Dunlop (AO, FAA), and Dr. Lars Madsen. His research bridges physics and mathematics, focusing on applying data-driven models to understand complex biological systems. Prior to MACSYS, he specialized in quantum mechanics using optomechanical oscillators and developed magnetic field sensors with applications in navigation and through-earth communication. His academic affiliations include the Faculty of Science and School of Mathematical Sciences at QUT. Bennett teaches Aspects of Computational Science and has prior teaching experience in linear algebra, mechanics, and calculus at Griffith University and UQ. He collaborates with industry partners such as Orica, Defence Science & Technology, and NASA Glenn Research Center on magnetometer technologies for aerospace and mining applications. Education: BSc (Hons I) in Physics, UQ PhD in Physics, UQ Research Interests: Quantum optomechanics Magnetometry for aerospace and environmental applications Mathematical modeling of cellular systems Teaching: Current: Aspects of Computational Science (QUT) Past: Linear Algebra, Mechanics, Calculus (Griffith University) Bennett’s work in MACSYS addresses the interplay between mathematical principles and biological complexity, aiming to uncover foundational biological mechanisms. His publications span optomechanical systems, quantum state manipulation, and sensor technology innovations.
Dr. Stuart Ingleby is a Senior Lecturer and Chancellor’s Fellow in the Department of Physics at the University of Strathclyde, Faculty of Science. His research focuses on the development of portable, high-sensitivity optical magnetometers for practical applications in medicine, navigation, and environmental monitoring. His research interests include: Quantum-enabled magnetic sensors Compact atomic and optical systems Real-time data acquisition and processing Low-noise precision electronics for sensor interfaces His recent publications demonstrate a strong trend in advancing optically pumped magnetometers (OPMs) for field deployment, with applications ranging from GNSS-denied navigation to space weather monitoring and biomedical imaging. The work emphasizes miniaturization, enhanced sensitivity, and robust hardware-software integration. Scientific awards received: University of Strathclyde Chancellor's Fellowship (2021) Dr. Ingleby leads and co-investigates multiple research projects funded by EPSRC, UK Space Agency, and industry partners such as AWE plc. He is actively involved in the UK Quantum Technology Hub in Sensing, Imaging and Timing (QuSIT), contributing to quantum-enabled positioning and navigation systems. He mentors PhD students and collaborates extensively within interdisciplinary teams. His work includes both theoretical modeling and experimental development of atomic sensors. He is a peer reviewer for journals including Optics Express , Advanced Optical Technologies , and European Physical Journal Quantum Technology , reflecting his standing in the quantum sensing community.
Julia M. Stephen serves as an Adjunct Professor in the Department of Physics and Astronomy at the University of New Mexico and holds dual appointments as Director of the MEG/EEG Core and Professor of Translational Neuroscience at the Mind Research Network (MRN). Her primary research基地 focuses on advanced neuroimaging techniques to investigate brain development across the human lifespan, with particular emphasis on translational applications for neurological and psychiatric disorders. Dr. Stephen earned her PhD from the University of Minnesota, establishing the foundation for her specialized work in biophysics and neuroimaging. Her educational background directly supports her current methodological expertise in magnetoencephalography and multimodal brain imaging approaches. Her research program centers on developmental neuroscience, specifically examining typical and atypical brain maturation from infancy through aging. Key investigation areas include fetal alcohol spectrum disorders (FASD), autism spectrum disorders, schizophrenia, and Alzheimer's disease, with a focus on identifying neural biomarkers through MEG, EEG, and fMRI. She employs rigorous multimodal approaches to study sensory processing, cognitive development, and neural network dynamics, particularly investigating how prenatal exposures and aging processes alter brain function. Analysis of Dr. Stephen's publication record reveals consistent focus on developmental trajectories of brain function, with strong emphasis on FASD (7/15 articles), schizophrenia (4/15), and neuroimaging methodology development (3/15). Her work demonstrates increasing specialization in infant and child neurodevelopment since 2018, with recent publications highlighting MEG applications for early biomarker identification in prenatal exposure conditions and multisensory integration deficits. Dr. Stephen leads multiple NIH-funded research initiatives including the DevMind Study (tracking childhood brain development), investigations into prenatal alcohol exposure markers, and schizophrenia-related multisensory processing projects. Her laboratory infrastructure includes the MEG/EEG Core facility at MRN, which provides advanced neuroimaging capabilities for developmental and clinical neuroscience research. As a Principal Investigator, she directs interdisciplinary teams comprising neuroscientists, physicists, and clinicians to advance understanding of brain-behavior relationships across the lifespan.
Dr. Michael Barson is a Research Fellow in the School of Physics and Astronomy at Monash University. His research focuses on leveraging solid-state defects, particularly the nitrogen-vacancy (NV) center in diamond, for quantum technologies including nanoscale quantum microscopy, metrology, and quantum information processing. His work lies at the intersection of several advanced fields: High-resolution optical microscopy Spin physics (EPR, NMR, MRI) Nanotechnology Condensed matter physics Atomic and quantum optics He has led multiple research projects funded by the Australian Army and the Office of National Intelligence (ONI), including the development of quantum vector magnetometers and optical magnetometer prototypes, demonstrating strong applied research impact. His recent publications explore the fine structure and temperature dependence of NV centers, nanomechanical sensing with diamond spins, and defect pairs in diamond. These works reflect a consistent focus on fundamental quantum properties with applications in sensing and metrology. While no formal scientific awards are listed, his research has been cited over 149 times in Scopus for key articles, referenced in patents, and picked up by news outlets and blogs, indicating recognition in both scientific and broader communities. Dr. Barson is actively involved in research leadership and supervision, serving as a Primary Chief Investigator on multiple projects. He has not been described as advising formal students, but his role involves guiding research teams and likely mentoring junior researchers. He leads projects involving quantum magnetometry and microscopy, contributing to the advancement of quantum sensing technologies at Monash University and in collaboration with national defense and intelligence agencies.
Dr. Volkmar Schultze is a Researcher in the Quantum Systems Work Group Quantum Magnetometry at the Leibniz Institute of Photonic Technology (Leibniz-IPHT) in Jena, Germany. His work focuses on developing high-resolution magnetic field sensors using optically pumped magnetometers (OPMs) and superconducting quantum interference devices (SQUIDs) for applications in geomagnetic prospection (e.g., archaeometry) and biomedical investigations (e.g., magnetoencephalography). His research spans sensor design, noise reduction, and orientation error compensation. Key contributions include innovations in light-shift dispersed Mz (LSD-Mz) mode and heading error mitigation in Earth’s magnetic field. He collaborates on magnetorelaxometry imaging and quantum-limited resolution systems, with a focus on eliminating magnetic shielding requirements. Recent publications highlight advancements in portable OPM systems (2022), dead-zone-free sensors (2023), and spin-exchange relaxation suppression (2016). His work bridges quantum physics , applied instrumentation , and cross-disciplinary applications in geophysics and medicine. Labs & Teams : He collaborates with interdisciplinary teams at Leibniz-IPHT, including co-authors like Gregor Oelsner, Christian B. Schmidt, and Ronny Stolz. His work integrates theoretical modeling (e.g., density-matrix simulations) with experimental sensor development.
Sangtak Park is a Post-doctoral fellow (SDE) at the University of Waterloo, working in the Applied nonlinear dynamics laboratory within the Department of Systems Design Engineering. His academic background includes a PhD in Systems Design Engineering from the University of Waterloo (2011), an MASc in Aerospace Engineering from the University of Toronto (2003), and a BASc in Mechanical Engineering from Korea University (1997). Education: PhD in Systems Design Engineering, University of Waterloo (2011) MASc in Aerospace Engineering, University of Toronto (2003) BASc in Mechanical Engineering, Korea University (1997) Park's research spans Microelectromechanical Systems (MEMS) with emphasis on nonlinear dynamics and control. He develops low-noise precision actuation/measurement circuitry, MEMS-based RF modulators/demodulators for software-defined radio, and high-precision gas/mass sensors. His work extends to magnetometers, electromagnetic actuators, Fourier transform spectrometers using micromirrors on galvanometers, and transdermal ethanol sensor-based vehicle interlock systems. This research portfolio demonstrates integration of theoretical dynamics with practical sensor and actuator applications across biomedical and communication domains. Park conducts his research under the supervision of Professor Mustafa Yavuz and Professor Eihab Abdurahman within the Applied nonlinear dynamics laboratory at the University of Waterloo.
Gregory Dobler is an Associate Professor in the Department of Physics & Astronomy at the University of Delaware, part of the College of Arts & Sciences. He joined UD in 2019. His research bridges astrophysics and urban science, leveraging machine learning and data science to explore topics such as interstellar medium physics, particle dark matter, strong gravitational lensing, and urban energy dynamics. Dobler holds a B.S. from Haverford College and a Ph.D. from the University of Pennsylvania. His work spans innovative applications of AI in astronomy, including automated detection of light echoes and transient phenomena, while also advancing urban studies through hyperspectral imaging of vegetation health, air quality monitoring, and magnetic field analysis of cities. Notable contributions include the development of the Urban Observatory platform for multiscale urban systems analysis and the Multi-city Urban Observatory Network. Recent research trends emphasize interdisciplinary approaches, integrating deep learning with environmental sensing to address urban challenges like energy consumption and public health. His publications highlight collaborations across fields such as remote sensing, climate science, and smart city technologies. Dobler’s lab focuses on creating novel imaging systems and algorithmic frameworks to study complex systems, from galactic structures to urban infrastructure dynamics.
Reza Rashidi is an Associate Professor of Practice in the Department of Mechanical and Aerospace Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His research focuses on energy harvesting, microfabrication, medical devices, and sensor technologies. He holds a PhD in Mechanical Engineering from the University of British Columbia (2010), an MSc in Materials Engineering from the University of Tehran (1995), and a BSc in Materials Engineering from Sharif University of Technology (1993). Rashidi's research interests span design processes, MEMS, finite element analysis, and materials selection. Notable achievements include winning the 2022 Allegany County Startup Collegiate Competition (Grand Prize) and the 2011 BC Innovation Council Award. His work emphasizes practical applications, such as triboelectric energy harvesters, magnetic fluid-based sensors, and 3D-printed biomedical devices. He actively collaborates with industry through sponsored projects and has pioneered hands-on educational approaches to microfabrication. His lab develops sensors for biomedical monitoring, energy-efficient systems, and smart materials. Rashidi’s publications bridge theoretical and applied engineering, addressing challenges in energy conversion, wearable technology, and sustainable manufacturing.
