جست‌وجوی استاد و پژوهشگر

Kevin C. Zhouمشاهده پروفایل

استادیار

• Computational Imaging
• Biomedical Engineering
• Optical Systems
• +۳ مورد دیگر

Kevin C. Zhou is an Assistant Professor in the Department of Biomedical Engineering at the University of Michigan. His research focuses on developing high-performance computational optical imaging systems with unprecedented spatiotemporal throughput, integrating advanced optical instrumentation with machine learning-driven algorithms to analyze big data in biology and medicine. His lab specializes in creating imaging systems capable of capturing high-resolution, high-speed, and high-dimensional datasets. Dr. Zhou holds a Ph.D. in Biomedical Engineering from Duke University (NSF GRFP Fellow) and a B.S. in Biomedical Engineering from Yale University (Barry Goldwater Scholar). Prior to joining U-M, he was a Schmidt Science Fellow and postdoctoral researcher at UC Berkeley. Key research areas include: High-throughput microscopy (gigapixel-scale systems) 3D tomographic imaging Light field and Fourier-based imaging modalities Machine learning for image reconstruction and analysis Biomedical applications in cellular/molecular imaging His recent work has advanced technologies like multi-camera array microscopes (MCAM/MCAS) and Fourier light field mesoscopes, achieving video-rate 3D imaging of freely moving organisms. These innovations enable applications in digital cytopathology, behavioral tracking, and high-content biological studies. Notable awards include the NSF Graduate Research Fellowship and Barry Goldwater Scholarship. His research has been featured in top journals and conferences with a focus on advancing optical imaging hardware and computational pipelines.

Julie N.L. Albertمشاهده پروفایل

استادیار

• Nano- and micro-structured materials
• Surface chemistry
• Nanoporous membranes
• +۴ مورد دیگر

Dr. Julie N.L. Albert is an Assistant Professor in the Department of Chemical and Biomolecular Engineering at Tulane University, holding the Robert and Gayle Longmire Early Career Professorship. She is affiliated with the School of Science and Engineering and serves as co-director of the SMART REU NSF-funded program. Her research focuses on engineering nano- and micro-structured polymeric materials for energy, health, and environmental applications, emphasizing self-assembly processes in block copolymers and polymer blends. Key areas include nanoporous membranes, biocompatible surfaces, and stimuli-responsive materials. Dr. Albert earned her B.S. in Chemical Engineering from the University of Florida (2005) and her Ph.D. from the University of Delaware (2012). She conducted postdoctoral research at North Carolina State University. Her work has been supported by prestigious grants, including the NSF CAREER Award and a Gulf Research Program Fellowship. Her research group explores topics like polymer crystallization, polyorganosiloxanes, and block copolymer architectures. Notable achievements include developing methods for controlling polymer morphology via solvent vapor annealing and surface chemistry gradients. She advises numerous graduate and undergraduate students and mentors organizations like the Society of Women Engineers. Education: B.S., Chemical Engineering, University of Florida, 2005 Ph.D., Chemical Engineering, University of Delaware, 2012 Research Interests: Self-assembly of block copolymers, nanoporous membranes, biocompatible materials, and energy applications. Awards: NSF Graduate Research Fellowship, Gulf Research Program Early-Career Fellowship, AIChE Travel Award. Dr. Albert’s lab houses advanced facilities such as AFM, spectral reflectometry, and GPC, enabling cutting-edge polymer characterization. Her contributions bridge polymer science, materials engineering, and environmental sustainability, addressing challenges in energy recovery and biomedical technologies.

Julia A. Mundyمشاهده پروفایل

دانشیار

• Quantum Materials
• Molecular-Beam Epitaxy (MBE)
• Thin Film Synthesis
• +۵ مورد دیگر

Julia A. Mundy is the John L. Loeb Associate Professor of the Natural Sciences and Engineering and Applied Sciences at Harvard University. Her research focuses on designing quantum materials at the atomic scale using molecular-beam epitaxy (MBE) to synthesize metastable thin films. She leads the Mundy Group, which explores superconductors, frustrated magnets, and oxide interfaces for quantum and energy applications. Her work bridges materials synthesis, characterization, and fundamental physics. Affiliations: Harvard University, School of Engineering and Applied Sciences, Applied Physics Department Labs: Mundy Group (LISE 7th floor) Research interests include MBE growth of novel oxides, thin film superconductors, and 2D electronic systems. She has pioneered methods for creating room-temperature multiferroics and discovered superconductivity in layered nickelates. Her group uses advanced tools like aberration-corrected electron microscopy and synchrotron-based spectroscopy. Key achievements include the 2024 Moore Inventor Fellowship, NSF CAREER Award, and Packard Fellowship. Her work on transparent superconductors and fluoride-ion battery materials highlights interdisciplinary impact. Notable Grants: DOE Early Career Award, NSF MRI funding for LEEM/PEEM microscopy Team: 15+ current members including graduate students, postdocs, and undergraduates

• Nuclear Magnetic Resonance (NMR)
• In vivo imaging
• MRI pulse sequence development
• +۷ مورد دیگر

Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.

Scott T. Actonمشاهده پروفایل

استاد

• Signal and Image Processing
• Machine Learning
• Bioimage Analysis
• +۳ مورد دیگر

Scott T. Acton is the Lawrence R. Quarles Professor and Chair of Electrical and Computer Engineering at the University of Virginia, with a courtesy appointment in Biomedical Engineering. He leads the VIVA lab, specializing in biological image analysis, machine learning, and AI for education. His research spans medical imaging, signal processing, and computer vision. Professor Acton holds a B.S. (Virginia Tech, 1988), M.S. (UT Austin, 1990), and Ph.D. (UT Austin, 1993) in Electrical Engineering. He has authored over 325 publications and served as Editor-in-Chief of IEEE Transactions on Image Processing and General Co-Chair of the IEEE International Symposium on Biomedical Imaging. His research interests include bioimage analysis, machine learning applications, and medical imaging technologies. The VIVA lab focuses on problems like cell tracking in bacterial biofilms, gait recognition using LiDAR, and AI-driven classroom activity analysis. Awards: IEEE Fellow (2013), All-University Teaching Award (2009), Outstanding Young Electrical Engineer (1996). Courses Taught: How the iPhone Works, Digital Image Processing, Signals and Systems. Labs/Teams: VIVA - Virginia Image and Video Analysis lab. Recent work emphasizes AI for education (e.g., automated classroom activity classification) and medical imaging advancements like 3D biofilm segmentation and LiDAR-based human identification. His contributions bridge engineering and healthcare, with applications in neuroscience and clinical decision support.

• Materials Science
• Corrosion Engineering
• Alloy Design
• +۳ مورد دیگر

Dr. KN Sasidhar is a Researcher in the Department of Microstructure Physics and Alloy Design at Heinrich Heine University Düsseldorf. His work focuses on advanced materials science, particularly corrosion mechanisms, alloy design, and nanoscale structural analysis. He employs cutting-edge techniques like in situ synchrotron investigations and deep learning frameworks to study material behavior under extreme conditions. Current research emphasizes corrosion resistance in stainless steels, phase transformations during nitriding, and radiation effects on coatings. Key achievements include pioneering studies on nanoscale amorphization in metallic systems, data-centric approaches for materials discovery, and the development of predictive models for alloy performance. His work bridges experimental materials characterization with computational methods, addressing challenges in energy and aerospace applications. Publications span corrosion analysis, microstructural evolution under irradiation, and phase separation phenomena. Collaborative projects involve synchrotron facilities and interdisciplinary teams focusing on materials informatics. No formal awards or grants are explicitly listed in the provided texts, though his prolific publication record indicates active academic engagement.

• Computational Imaging
• Artificial Intelligence
• Inverse Problems
• +۷ مورد دیگر

Aviad Levis is an Assistant Professor at the University of Toronto's Department of Computer Science, starting July 2024. He is affiliated with the Dunlap Astronomical Data Science and Technology Group (DADDAA) and collaborates with the Toronto Computational Imaging Group alongside Kyros Kutulakos and David Lindell. Previously, he was a postdoctoral researcher at Caltech's Computing + Mathematical Sciences department under Katherine Bouman, working with the Event Horizon Telescope (EHT) collaboration. PhD in Electrical Engineering from the Technion (supervised by Yoav Schechner) Research focuses on computational imaging tools at the intersection of AI and physics Develops algorithms for 3D tomography in both cloud physics and black hole imaging Recipient of ERC Synergy grant for CloudCT space mission His research spans two major domains: Computational Climate Imaging through cloud tomography to improve climate models, and Black Hole Imaging with the EHT collaboration. He pioneered methodologies for 3D cloud structure recovery using scattered sunlight and contributes to dynamic 3D reconstructions of black hole environments. Current interests include non-linear inverse problems, equation discovery from data, and ML-accelerated scientific simulations. Recent publications highlight advancements in atmospheric tomography and black hole emission modeling. His work on CloudCT involves coordinated nano-satellites for 3D cloud imaging, while EHT contributions include first images of Sagittarius A* (2022) and ongoing development of algorithms for 3D structure recovery. The ERC Synergy grant underscores his impact on climate imaging technology. Personal Website Work Email

Angela Pitenisمشاهده پروفایل

دانشیار

• Biomaterials
• Polymer Science
• Biomedical Engineering
• +۳ مورد دیگر

Angela Pitenis is an Associate Professor in the Department of Materials at the University of California, Santa Barbara (UCSB), within the College of Engineering. Her research focuses on interfacial phenomena in soft materials, particularly friction, adhesion, wear, and deformation of complex surfaces ranging from living cells to polymer nanocomposites. She employs advanced experimental techniques such as microscopy, spectroscopy, and interferometry to study these interfaces under extreme conditions and within buried environments. Her work has direct applications in healthcare, energy sustainability, and engineering design. Prof. Pitenis holds a Ph.D., M.Sc., and B.S. in Mechanical Engineering from the University of Florida. Her research group investigates biomaterials, hydrogel lubrication, and bioinspired materials, with recent studies addressing implant-associated inflammation, tumor cell dynamics in 3D microgels, and pH-responsive hydrogel friction. She is affiliated with the Materials Research Lab at UCSB and contributes to interdisciplinary projects at the intersection of materials science and biology. Notable research trends in her work include the development of biocompatible lubricious surfaces, understanding friction-induced biological responses, and designing smart materials with tunable mechanical properties. Her studies on photoresponsive hydrogels and superlubricious materials highlight innovations in responsive and adaptive material systems. Pitenis emphasizes in situ experimental methods and has pioneered techniques for analyzing dynamically evolving material interfaces. Her research also extends to marine biomaterials, such as the mechanical resilience of sessile tunicates, and explores applications in medical implants, bioreactors, and energy systems. While specific awards are not listed here, her contributions reflect a commitment to advancing soft matter tribology and biomaterials science.

K.W. Hippsمشاهده پروفایل

استاد

• Surface Chemistry
• Nanotechnology
• Materials Science
• +۳ مورد دیگر

Professor K.W. Hipps is a Regents Professor of Chemistry and Materials Science and Engineering at Washington State University (WSU). He holds multiple fellowships, including those from the American Chemical Society, American Physical Society, and American Association for the Advancement of Science. His research focuses on surfaces, interfaces, and nanotechnology, utilizing advanced techniques like Scanning Tunneling Microscopy (STM), Transmission Electron Microscopy (TEM), and spectroscopy. His work explores molecular-scale processes, including surface diffusion, electron transfer, and nanoparticle properties. Education: Ph.D. in Chemical Physics from WSU (1978), followed by a postdoc at the University of Michigan. He has authored over 180 publications and received numerous awards, including the Sahlin Eminent Faculty Award and WSU Distinguished Faculty Award. Research Interests: Surface chemistry, nanotechnology, materials characterization, and molecular dynamics. His lab studies interfaces, thin films, and supramolecular assemblies using STM and spectroscopic methods. Scientific Contributions: His STM images have featured on journal covers, and his work on cobalt and copper phthalocyanines demonstrated chemical selectivity in molecular imaging. Students in his group gain expertise in microscopy, spectroscopy, and materials synthesis.

Nuh Gedikمشاهده پروفایل

استاد

• Condensed Matter Experiment
• Quantum Materials
• Ultrafast Spectroscopy
• +۵ مورد دیگر

Nuh Gedik is the Donner Professor of Physics at MIT, leading the Gedik Research Group. His work focuses on quantum materials, employing advanced optical and electron spectroscopies. He joined MIT in 2008 as an Assistant Professor, earned his B.S. from Bogazici University (1998), and Ph.D. from UC Berkeley (2004) before postdoctoral work at Caltech. His awards include NSF CAREER, DOE Early Career, Sloan Fellowship, and APS Fellow recognition. Research interests include ultrafast dynamics in topological insulators, charge density waves, and light-induced phenomena. Key techniques include time-resolved ARPES, ultrafast electron diffraction, and terahertz spectroscopy. His group explores hidden orders in quantum materials and develops novel measurement tools. Recent work includes metastable magnetization control in FePS₃ and Floquet-Bloch states in graphene. Affiliated with the MIT Center for Quantum Engineering and Institute for Soldier Nanotechnologies.

Carmen Menoniمشاهده پروفایل

استاد

• Laser Technologies
• Optical Interference Coatings
• Extreme Ultraviolet/Soft X-Ray Photonics
• +۵ مورد دیگر

Carmen Menoni is a University Distinguished Professor in the Department of Electrical and Computer Engineering at Colorado State University, with joint appointments in the Department of Chemistry and School of Biomedical Engineering. She earned her B.S. in Physics from the University of Rosario (1978) and Ph.D. in Physics from Colorado State University (1987). Her research advances laser technologies through dielectric materials for ultra-high intensity optics, impacting fusion energy and astrophysical detection systems. Her core research investigates transparent dielectric materials to develop state-of-the-art interference coatings. Key focus areas include: Extreme ultraviolet/soft x-Ray photonics for precision instrumentation Nano-scale microscopy/spectrometry for material characterization Ion beam sputtering techniques for coating deposition Optical interference coatings for gravitational wave detectors and fusion lasers As Director of the RISE hub (DOE-funded Inertial Fusion Energy initiative), she leads a multi-institutional consortium accelerating fusion energy technologies and workforce development. She co-founded XUV Lasers Inc., commercializing advanced laser systems from CSU research. Honors include: Joseph Fraunhofer Award/Robert M. Burley Prize (2024) Willis Lamb Award for Laser Science (2024) IEEE Women in Photonics Award (2023) Fellowships: Optica, IEEE, APS, AAAS, SPIE She served as IEEE Photonics Society President (2020-2021) and contributes to editorial/governance boards across photonics organizations.

Dane Morganمشاهده پروفایل

استاد

• Computational materials science
• Ab initio electronic structure
• Multiscale methods
• +۴ مورد دیگر

Dane Morgan is a Professor in the Department of Materials Science & Engineering at the University of Wisconsin-Madison, College of Engineering. His research focuses on computational materials science for materials design, including ab initio electronic structure modeling, multiscale methods, and machine learning applications in materials discovery. His work spans nuclear materials, battery and fuel cell electrodes, and electronic materials. Education : PhD, 1998, University of California, Berkeley MS, 1994, University of California, Berkeley BA, 1992, Swarthmore College Research Interests : Computational materials science, ab initio methods for electronic structure and thermokinetics, machine learning for materials discovery, electrochemical systems modeling, and applications in nuclear materials, batteries, and electronic materials. His work integrates advanced computational techniques with experimental validation. Scientific Awards : 2024 APL Materials, Editors Pick 2023 Microscopy and Microanalysis Best Paper Award (Instrumentation and Software category) 2023 IEEE Transactions on Plasma Science Best Paper Award 2023 Kellet Mid-Career Award 2015 TMS Materials Genome Initiative Ambassador 2006 3M Technical Nontenured Faculty Grant

• Neuroscience
• Neurobiology
• Cerebellar Plasticity
• +۷ مورد دیگر

Dr. Ting-Feng Lin is an Assistant Professor at the Cell Biology, Neurobiology and Biophysics department within the Faculty of Science at Utrecht University, Netherlands. His research focuses on understanding the mechanisms of learning and memory formation in the cerebellum, particularly how synaptic and intrinsic plasticity mechanisms coordinate to regulate neuronal signaling and behavior. He employs advanced microscopy, optogenetic, and chemogenetic techniques in transparent zebrafish models to study these processes in vivo, with implications for neurodevelopmental disorders like autism spectrum disorder (ASD) and schizophrenia. 2025: Assistant Professor, Utrecht University 2019-2025: Postdoctoral Researcher, University of Chicago 2015-2019: PhD in Neuroscience, Neuroscience Center Zurich (ZNZ) 2010-2014: MS in Physiology, National Taiwan University 2006-2010: BS in Sports Medicine, China Medical University His work investigates how sensory experiences shape cerebellar processing during development, focusing on climbing fiber pathways and their role in sensory prediction errors. His group also studies the interaction between synaptic, intrinsic, and structural plasticity mechanisms in neural circuits, using zebrafish models with genetic modifications (e.g., Grid2 knockout) to model human neurological conditions. Dr. Lin has received scientific recognition including the SfN Trainee Professional Development Award for his work on Purkinje cell plasticity and the JNS Meeting Award for research on parallel fiber ramping activity and LTD. His publications span topics from cerebellar plasticity to voltage-gated K+ channel dynamics, reflecting his interdisciplinary approach to neurobiology.

Roman Schnabelمشاهده پروفایل

استاد

• Quantum Optics
• Gravitational Wave Detection
• Laser Interferometry
• +۵ مورد دیگر

Roman Schnabel is a Professor of Experimental Physics at the University of Hamburg , affiliated with the Institute for Laser Physics under the Faculty of Mathematics, Informatics and Natural Sciences. He leads cutting-edge research in quantum optics, gravitational wave detection, and quantum technologies. Education : PhD in Physics (1999, Leibniz Universität Hannover); Physics degree (1988–1994, Leibniz Universität Hannover) Awards : QCMC 2018 Award, Gruber Cosmology Prize 2016 (LIGO team), Special Breakthrough Prize in Fundamental Physics 2016 (LIGO team), Joseph F. Keithley Award 2012 His recent work explores high-frequency gravitational wave observatories , entanglement generation , and quantum-enhanced sensing . He holds patents for gas sensors and optical surface imaging technologies. Schnabel co-founded the start-up Noisy Labs in 2023 and served as Director of Outreach & Transfer for the Cluster of Excellence 'Quantum Universe' (2019–2022).

Aditi Dasمشاهده پروفایل

استاد

• Biochemistry and Chemical biology of Lipids
• Mechanism of Membrane proteins in Nanodiscs
• Enzymology of metalloproteins
• +۵ مورد دیگر

Aditi Das is a Full Professor in the School of Chemistry and Biochemistry at the Georgia Institute of Technology, College of Sciences. She leads the Das Laboratory, which focuses on the biochemistry and chemical biology of lipids, particularly studying cytochrome P450 enzymes and their role in lipid metabolism, endocannabinoid systems, and inflammatory pathways. Her educational background includes: B.Sc. in Chemistry from St. Stephen's College M.Sc. in Chemistry from Indian Institute of Technology, Kanpur (I.I.T) Ph.D. in Chemistry from Princeton University Postdoctoral research at Northwestern University (NSF-NSEC fellow) and Beckman Institute for Advanced Science and Technology, University of Illinois UC Professor Das's research interests center around understanding the physiological role of lipids in sustaining homeostasis and their implications in disease states such as neurodegenerative disorders, cancer, and cardiovascular diseases. Her laboratory specializes in: Enzymology of cytochrome P450s, particularly CYP2J2 epoxygenase Metabolism of ω-3 and ω-6 fatty acids and their derivatives Minor cannabinoid metabolism by cytochrome P450 enzymes Discovery of novel anti-inflammatory lipid metabolites and endocannabinoids Mechanistic studies of membrane proteins using nanodisc technology Her work bridges biochemistry, chemical biology, and pharmacology to uncover novel therapeutic targets related to lipid signaling pathways. Analysis of Professor Das's recent publications (2023-2025) reveals a strong focus on cannabinoid metabolism by cytochrome P450 enzymes, with particular emphasis on how these metabolic processes generate bioactive compounds that interact with the endocannabinoid system. Her research increasingly explores the therapeutic potential of omega-3 derived endocannabinoid epoxides in inflammatory and neurodegenerative conditions. The use of nanodisc technology for studying membrane proteins in near-native environments remains a consistent methodological thread throughout her work, enabling detailed mechanistic insights into enzyme function. Professor Das has received numerous prestigious awards recognizing her research excellence and teaching: 2024 NIH Outstanding Researcher Award (MIRA R35) for established investigators 2024 Vasser Woolley Faculty Fellowship 2023 Plenary Lecture at the International Society of the Study of Xenobiotics (ISSX) 2021 E.L.R. Stokstad Award 2019-2021 List of Teachers Ranked as Excellent 2019 Eicosanoid Research Foundation Young Investigator Award 2019 Zoetis Research Excellence Award 2019 Mary Swartz Rose Young Investigator Award 2015 National Scientist Development Award from the American Heart Association 2022 El Sohly Award from the American Chemical Society Professor Das actively mentors a diverse group of students and postdoctoral researchers, with several former lab members now holding faculty positions or working at prestigious institutions. Her laboratory has secured significant funding from NIH, NSF, and other sources to support research on lipid metabolism, cannabinoid pharmacology, and membrane protein biochemistry. Notable grants include an NIH R35 Outstanding Investigator Award (MIRA), an NIH R21 grant from NIDA, and multiple collaborative grants with other research groups. The Das Laboratory operates within the Petit Institute of Bioengineering and Biosciences (IBB) at Georgia Tech, utilizing state-of-the-art facilities for biochemical and biophysical studies. The lab specializes in nanodisc technology to study membrane proteins in near-native environments, with particular expertise in cytochrome P450 enzymes and their interactions with lipid substrates. Recent work has expanded into collaborative projects involving lipidomics, structural biology, and translational applications of lipid signaling research.