جست‌وجوی استاد و پژوهشگر

• Synaptic Plasticity
• Dendritic Spines
• Neuronal Signaling
• +۵ مورد دیگر

Ryohei Yasuda serves as Scientific Director at the Max Planck Florida Institute for Neuroscience (MPFI), a premier neuroscience research institution. With over 150 publications spanning more than 15 years, Dr. Yasuda leads cutting-edge research focused on the molecular mechanisms of synaptic plasticity and memory formation. His laboratory employs advanced imaging techniques to investigate signaling dynamics at the single synapse level. Dr. Yasuda's research centers on understanding how neuronal activity triggers biochemical signaling cascades that lead to structural and functional changes at synapses. His work particularly emphasizes the role of calcium/calmodulin-dependent protein kinase II (CaMKII), brain-derived neurotrophic factor (BDNF), and other molecular players in synaptic plasticity. Using innovative two-photon microscopy, fluorescence resonance energy transfer (FRET), and fluorescence lifetime imaging (FLIM) techniques, his lab has made significant contributions to understanding how signals propagate within dendritic spines during learning and memory processes. His research bridges molecular neuroscience with cognitive function, providing insights into both normal brain function and neurodegenerative disorders. Analysis of Dr. Yasuda's recent publications reveals a sophisticated integration of advanced imaging methodologies with molecular neuroscience to study signaling dynamics at unprecedented resolution. His work increasingly explores connections between synaptic plasticity mechanisms and neurodegenerative conditions like Alzheimer's disease, while maintaining a strong focus on fundamental mechanisms of memory formation. The integration of CRISPR/Cas9 genome editing, in vivo imaging, and behavioral analysis represents the cutting-edge approach of his laboratory. Based on co-author patterns across numerous publications, Dr. Yasuda leads a substantial research team comprising postdoctoral fellows, graduate students, and research technicians. His laboratory appears well-funded through multiple research grants, likely including NIH funding given the nature of his research. The collaborative nature of his work, with frequent partnerships across institutions, demonstrates his significant standing within the neuroscience community. Dr. Yasuda's laboratory at MPFI represents a world-class facility for advanced neuroscience imaging, specializing in techniques that allow observation of molecular signaling events in real-time within living neurons. The lab's technical expertise in developing and applying novel imaging methodologies has positioned it at the forefront of synaptic physiology research, contributing significantly to our understanding of how molecular events at individual synapses translate into cognitive functions.

• Neurogenetics
• Brain Development
• Cerebral Cortical Development
• +۸ مورد دیگر

Christopher A. Walsh is Bullard Professor of Pediatrics and Neurology at Harvard Medical School, Chief of the Division of Genetics and Genomics at Boston Children's Hospital, and an Investigator of the Howard Hughes Medical Institute. His research laboratory at the Manton Center for Orphan Disease Research and F.M. Kirby Neurobiology Center focuses on the genetic basis of human cerebral cortical development and associated disorders. Dr. Walsh completed his MD and PhD degrees at the University of Chicago, neurology residency at Massachusetts General Hospital, and postdoctoral training at Harvard in Genetics. He has held the Bullard Professorship since 1999 and joined Children's Hospital as Chief of Genetics in 2006. His educational background includes undergraduate studies at Bucknell University (1978), PhD in Neurobiology from the University of Chicago (1983), and medical training at the Pritzker School of Medicine (1985). Dr. Walsh's research spans multiple areas of neurogenetics and brain development. His lab pioneered the analysis of clonal somatic mutations as causes of disease and has revealed roles for somatic mutations in pediatric focal epilepsy, adult temporal lobe epilepsy, autism spectrum disorders, and schizophrenia. He has identified more than three-dozen human disease genes over 20 years and analyzed rates of somatic mutations in normal brain cells, revealing their accumulation with age in single human neurons. His work has expanded into brain aging and degenerative diseases, earning the Pignolo Award for Aging Research from the University of Pennsylvania in 2018. The lab is particularly well-suited for projects on somatic mutation across human tissues due to their longstanding interest in somatic mutation in human brain, cell lineage in human brain, and innovative genomic technologies. Dr. Walsh's recent publications (2024-2025) demonstrate a strong focus on somatic mutations, brain development, and neurological disorders using cutting-edge single-cell and spatial genomics technologies. His work increasingly examines cellular heterogeneity in the brain, how somatic mutations impact neurological function across disorders including autism, epilepsy, and neurodegenerative conditions, and the evolutionary aspects of human brain development. Dr. Walsh has received numerous prestigious awards including the Jacob Javits Award, Kavli Prize in Neuroscience, Gruber Prize in Neuroscience, and election to the National Academy of Sciences. His work has been recognized by multiple societies including the American Neurological Association, American Association of Physicians, National Academy of Medicine, and American Association for the Advancement of Sciences. Recent honors include the Jacob Javits Distinguished Investigator Award (2024), election to the Norwegian Academy of Science and Letters (2022), and the Kavli Prize in Neuroscience (2022). Dr. Walsh has been deeply involved in training the next generation of researchers, having mentored over 50 MDs, PhDs, and MD/PhDs and more than 20 pre-doctoral students. Most of these trainees continue to be involved in medical research after leaving his lab, many starting their own labs. He previously served as Director of the Harvard-MIT MD-PhD training program for three years and has been active on many committees for this program for 20 years. His current research is supported by multiple grants including an HHMI Investigator award (10/01/02-10/31/31), several NIH R01 grants, and funding from the Paul Allen Frontiers Group, Simons Foundation, and John Templeton Foundation. Dr. Walsh leads the Walsh Laboratory within the Intellectual and Developmental Disabilities Research Center at Boston Children's Hospital. His lab continues to push boundaries in understanding how somatic mutations contribute to both normal brain function and neurological disorders across the lifespan, with recent work expanding into studying the evolution of the human brain through the Center for the Study of Human Brain Evolution funded by the Paul Allen Frontiers Group.

Judy A. Estroffمشاهده پروفایل

استاد

• Fetal Imaging
• Prenatal Diagnosis
• Ultrasound
• +۵ مورد دیگر

Judy A. Estroff is a leading researcher at Boston Children's Hospital specializing in fetal imaging and prenatal diagnosis of congenital abnormalities. Her work bridges radiology, genetics, and neonatology to improve clinical outcomes through advanced ultrasound and MRI techniques. Her educational background includes: Undergraduate: University of Michigan (1973) Medical School: University of California, San Francisco (1981) Internship: Pediatrics at University of California Medical Center, San Francisco (1982) Residency: Diagnostic Radiology at Mount Zion Hospital & Medical Center, San Francisco (1985) Fellowship: Pediatric Radiology at Boston Children's Hospital (1987) Dr. Estroff's research focuses on correlating prenatal imaging findings with postnatal outcomes for fetal abnormalities. She investigates critical questions about which ultrasound features require amniocentesis or intervention versus those associated with normal development. Her work spans fetal brain development, congenital heart defects, craniofacial anomalies, and renal abnormalities, employing advanced techniques including 3 Tesla MRI and machine learning for movement analysis. She has developed predictive models for conditions like Robin sequence and ventriculomegaly, significantly impacting prenatal counseling protocols. Analysis of her 2023-2025 publications reveals three dominant trends: (1) refinement of fetal MRI safety parameters at 3 Tesla for clinical adoption, (2) identification of neuroimaging biomarkers linking structural anomalies to neurodevelopmental outcomes, and (3) development of machine learning tools for quantitative fetal movement assessment. Her work increasingly integrates genetic diagnostics with imaging findings, particularly for conditions like heterotaxy syndrome and cleft palate variants. No scientific awards were mentioned in the source material. While student advising details weren't provided, her extensive publication record across radiology, genetics, and neonatology journals suggests significant mentorship activity. The absence of grant information in the source material prevents commentary on funding sources, though her 38-year publication history indicates sustained research support. Her work directly informs clinical protocols at Boston Children's Hospital for prenatal diagnosis and intervention planning.

Michael Gaeblerمشاهده پروفایل

پژوهشگر

• Mind-Body Interaction
• Neuroscience
• Virtual Reality
• +۵ مورد دیگر

Dr. Michael Gaebler is a Researcher and Group Leader at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. His Mind-Body-Emotion Group investigates brain-body interactions in health and disease using advanced technologies like virtual reality (VR), neuroimaging, and psychophysiological methods. Key research topics include emotional arousal decoding, brain-heart coupling, and stress physiology. His work bridges cognitive neuroscience, clinical applications, and immersive technologies, with a focus on translational research in neurorehabilitation and mental health. Education: Dr. rer. nat. in Psychology (2010-2013), Humboldt-Universität zu Berlin & Charité - Universitätsmedizin Berlin MSc Brain & Mind Sciences (2006-2008), University College London & École Normale Supérieure Paris BSc Cognitive Science (2002-2006), Universität Osnabrück Research Interests: The group employs lab-based and real-world methodologies to study mental processes across lifespan and emotional states. Current projects explore: Physiological responses in VR environments Heart-brain interactions during emotional experiences Neuroimaging biomarkers for stress and aging Applications of AI in neuroscience data interpretation Key Tools: AffectTracker: Real-time emotion monitoring in VR Excite-O-Meter: Heart activity integration in VR experiments OpenVirtualObjects: Standardized 3D object library for VR research Grants & Collaborations: Active collaborations with Max Planck Dahlem Campus of Cognition and Leipzig Research Centre for Civilization Diseases (LIFE). Funded projects include EU Horizon and German Research Foundation (DFG) grants.

• Corporate Finance
• Financialization
• Financial Professions
• +۳ مورد دیگر

Marie REDON serves as an Assistant Professor at IÉSEG School of Management, specializing in Accounting through her research on financial professionals' evolving roles. Her work examines how technological disruption and financialization reshape corporate finance functions, with particular focus on Chief Financial Officers (CFOs) and management controllers in contemporary organizations. Her academic credentials include: Ph.D. in Audit and Control from University of Paris Dauphine (2018) Master in Management Sciences, Audit and Control from University of Paris Dauphine (2014) Master in Economy and Management Sciences from Ecole Normale Supérieure de Cachan (2014) Redon's research spans Corporate Finance, Financialization, and Institutional Theory, investigating how digital transformation alters financial professionals' competencies, career trajectories, and organizational influence. Her work bridges accounting practice with theoretical frameworks to analyze technology adoption patterns and the financialization process in non-financial corporations, revealing critical tensions between traditional finance roles and emerging digital demands. Analysis of her 2019-2025 publications shows consistent thematic evolution from historical role analysis toward contemporary technology impacts. Early work established foundations in financialization and career trajectories, while recent articles increasingly address AI integration, digital transformation challenges, and evolving CFO competencies in technology-driven environments. This progression demonstrates growing emphasis on practical implications for financial professionals navigating rapid technological change. Her scientific recognition includes: Two 2019 thesis prize finalist positions (Andese and AFC) 2015 DFCG Foundation Scholarship (1st prize) 2015 University of Paris Dauphine Master's thesis award (3rd prize) As an active LEM research laboratory member, Redon contributes to collaborative investigations into management and economics. Her current work explores the intersection of emerging technologies, financialization dynamics, and professional identity formation among financial executives, with particular attention to organizational implementation challenges and future competency requirements for finance professionals.

• Theoretical Physics
• String Theory
• Supersymmetry Breaking
• +۳ مورد دیگر

Augusto Sagnotti is a Professor at the Scuola Normale Superiore di Pisa and affiliated with INFN (Istituto Nazionale di Fisica Nucleare). His research focuses on theoretical physics, with significant contributions to string theory, supergravity, and cosmology. He has collaborated extensively on topics such as supersymmetry breaking, non-linear supergravity models, and vacuum stability in string theory. His work bridges fundamental aspects of particle physics with cosmological implications, including studies of cosmic microwave background anomalies and inflationary scenarios. Key collaborations include investigations into brane dynamics, flux compactifications, and the interplay between string theory and observable cosmological phenomena. His contributions have advanced understanding of non-supersymmetric vacua, integrable models, and the geometric aspects of higher-dimensional field theories.

• Data Mining
• Machine Learning
• Geospatial Data
• +۷ مورد دیگر

Dr. Yanjie Fu is an Associate Professor in the School of Computing and AI at Arizona State University (ASU), part of the Ira A. Fulton Schools of Engineering. He holds a Ph.D. from Rutgers University (2016), a B.E. from the University of Science and Technology of China (2008), and an M.E. from the Chinese Academy of Sciences (2011). His research focuses on data mining, machine learning, geospatial data, and interdisciplinary applications, particularly in AI-driven urban planning and time series forecasting. He has received prestigious awards, including the NSF CAREER Award (2021), NAE Grainger Early Career Engineer Award (2023), and recognition as a Top 2% Global Scientist (2024). His work bridges theoretical advancements and practical applications, such as generative AI for urban design and reinforcement learning for feature transformation. Recent research emphasizes data-centric AI, including tabular data optimization, feature selection via generative models, and LLM-driven teamwork. He advises Ph.D. students who have transitioned to academic roles and collaborates on initiatives like the IEEE BIGDATA conference and the AAAI workshop on time series modeling.

Inna Vishikمشاهده پروفایل

دانشیار

• Quantum Materials
• Angle-Resolved Photoemission Spectroscopy
• Ultrafast Optics
• +۵ مورد دیگر

Dr. Inna Vishik is an Associate Professor of Physics at the University of California, Davis, specializing in advanced experimental techniques to probe quantum materials. Her research centers on high-resolution angle-resolved photoemission spectroscopy (ARPES) and ultrafast optical spectroscopy to investigate electronic structure, surface phenomena, and dynamics in topological materials and superconductors. Her primary research interests include: Electronic structure of quantum materials Topological semimetals (Weyl and Dirac systems) Superconductivity and time-reversal symmetry breaking Mesoscale chemical and electronic inhomogeneity Ultrafast carrier dynamics Surface chemistry effects on electronic properties Analysis of her recent publications reveals a strong focus on symmetry-enforced degeneracies in superconductors, mesoscale variations in Weyl semimetals like CoSnS and Co 3 Sn 2 S 2 , and the development of advanced ARPES methodologies. She has pioneered the AARDVARK software suite for real-time data visualization and adaptive automation in photoemission research, enhancing experimental precision in quantum material studies. Dr. Vishik maintains an active experimental program utilizing state-of-the-art ARPES and ultrafast optical setups. Her laboratory focuses on correlating local chemistry with electronic structure in quantum materials, particularly through combined ARPES and XPS techniques to visualize surface phenomena at mesoscopic scales.

• Signal Processing
• Image Restoration
• Noise Modeling
• +۳ مورد دیگر

Alessandro Foi is a Professor of Signal Processing at Tampere University, Finland, and Director of the Tampere University Imaging Research Platform. He also serves as CTO of Noiseless Imaging, a company specializing in noise-removal and imaging enhancement technologies. His academic roles include Editor-in-Chief of the IEEE Transactions on Image Processing (2021–2023) and editorial roles with other major journals. He is an IEEE Fellow for contributions to image restoration and noise modeling. Research Interests: Mathematical and statistical methods for signal processing, functional/harmonic analysis, computational modeling of the human visual system. Key focuses include adaptive algorithms for image restoration/enhancement, noise modeling for imaging devices, and optimal statistical transformations for data analysis. Recent publications emphasize advancements in denoising techniques for biomedical, geophysical, and engineering applications. His work combines traditional signal processing with modern machine learning approaches like neural networks to address challenges in medical imaging, radar systems, and 3D point cloud processing. Professional Activities: Member of IEEE TAB/PSPB Products & Services Committee Member of IEEE SPS Technical Directions Board Labs/Teams: Leads the Tampere University Imaging Research Platform and directs technical strategy at Noiseless Imaging.

Matthew Josephمشاهده پروفایل

مدرس

• Topological Dynamics
• Measurable Dynamics
• Ergodic Theory
• +۵ مورد دیگر

Matthew Joseph is a mathematician specializing in topological dynamics, measurable dynamics, and ergodic theory. Starting September 1, 2025, he will serve as a Lecturer at IMJ-PRG (Institut de Mathématiques de Jussieu - Paris Rive Gauche), Paris-Cité University, where he maintains his office in room 709 of the Sophie Germain Building. His educational background includes doctoral studies at UMPA (Unité de Mathématiques Pures et Appliquées) from 2019-2022, where he completed his PhD under the supervision of Damien Gaboriau with a thesis titled "Topological and measurable dynamics: allostery, quantitative orbit equivalence." Prior to his doctorate, he attended École Normale Supérieure de Lyon from 2015-2019. Between 2022-2024, he held a postdoctoral position at Laboratoire Mathématique d'Orsay supported by FMJH (Fondation Mathématique Jacques Hadamard). Joseph's research focuses on the intersection of topological and measurable dynamics, with particular emphasis on allostery (actions that are topologically free but not essentially free), quantitative orbit equivalence, and the study of isometry groups of Urysohn spaces. His work explores the relationships between invariant random subgroups and uniformly recurrent subgroups, as well as the ergodic and analytic properties of permutation groups. He has made significant contributions to understanding dissociated permutation groups, stabilizer rigidity for ergodic actions, and the classification of unitary representations for isometry groups of rational Urysohn spaces. His publications span prestigious journals including Transactions of the American Mathematical Society, Fundamenta Mathematicae, and Ergodic Theory and Dynamical Systems. His recent work demonstrates a consistent focus on the connections between group-theoretic properties and dynamical behavior, with particular attention to how metric structures on orbits can be distorted while preserving essential dynamical features. Joseph actively contributes to the mathematical community through seminar organization, having co-organized the Groups and Actions Seminar (2023-2024, 2024-2025) with Camille Horbez and the OE and Entropy Seminar (2022-2023) with François le Maître. These seminars explore cutting-edge topics in group actions, orbit equivalence, and entropy theory, bringing together researchers from across the mathematical community.

• Numerical Linear Algebra
• Matrix Theory
• Iterative Methods
• +۱ مورد دیگر

Professor Anne Greenbaum specializes in numerical analysis at the University of Washington's Department of Applied Mathematics, with adjunct appointments in Statistics. Her work spans matrix computations, iterative linear solvers, and numerical methods for partial differential equations. Research investigates non-normal matrices, convergence properties of iterative algorithms, and error estimation techniques. Seminal contributions include analysis of Lanczos and conjugate gradient methods under finite precision arithmetic. Honors include SIAM Fellowship and the Bolzano Medal for mathematical sciences. Author of 'Iterative Methods for Solving Linear Systems' and co-author of numerical methods textbooks.

• Artificial Intelligence
• Optimization
• Machine Learning
• +۳ مورد دیگر

Sebastian Pokutta is a Professor at Technische Universität Berlin, Vice President at Zuse Institute Berlin (ZIB), and Chair of the Cluster of Excellence MATH+ and MODAL. His research focuses on artificial intelligence, optimization, and machine learning, with emphasis on algorithmic development, decision-making systems, and real-world applications in areas like satellite data analysis, quantum computing, and combinatorial mathematics. He leads a research group exploring AI-driven methodologies and their interdisciplinary applications. He holds academic positions including leadership roles in major institutions and has contributed to numerous high-impact publications in optimization, machine learning, and quantum computing. His work has been recognized with awards such as the Science Prize of the Association for Pediatric Orthopedics (VKO). Pokutta actively engages in academic outreach, delivering talks on optimization and AI, and contributes to open-source projects like the FrankWolfe.jl library. His research bridges theoretical foundations with practical implementations, addressing challenges in computational efficiency, mathematical modeling, and AI ethics.

Charlie Duclutمشاهده پروفایل

دانشیار

• Biological Physics
• Active Matter
• Tissue Mechanics
• +۳ مورد دیگر

Charlie Duclut is an Associate Professor at Sorbonne University and conducts research at the Physico-Chimie Curie laboratory. His work bridges physics and biology, focusing on theoretical approaches such as statistical physics and non-equilibrium thermodynamics to study collective cell behavior and tissue dynamics. Key research areas include the development of theoretical tools like integral geometry and renormalization group methods, applied to problems involving tissue mechanics, electrohydraulics, and morphogenesis. He holds a PhD from Université Paris VI (UPMC) and has held postdoctoral positions at the Max Planck Institute for the Physics of Complex Systems and Matière et Systèmes Complexes in Paris. His teaching includes thermodynamics, mechanics, and stochastic modeling courses at Sorbonne University and Technische Universität Dresden. Education: Bachelor/Master at École Normale Supérieure (ENS) with a focus on Macroscopic Physics and Complexity; PhD in theoretical physics under Bertrand Delamotte at LPTMC (UPMC). Research experience includes internships at LANL (USA) and LPS (Paris). Research Interests: Theoretical frameworks for tissue deformation, interplay of mechanical/hydraulic/electrical tissue properties, and active matter phenomena. Current projects explore electrohydraulic control of cell spheroids and chemotactic self-organization. Active collaborations address biological systems like Drosophila wing discs and ascidian notochords. Publications highlight contributions to tissue rheology, cellular network dynamics, and fluid-electric interactions. His work has appeared in PNAS , Proc. Natl. Acad. Sci. U.S.A. , and Physical Review series. Invited talks and seminars span international conferences and institutions including Rice Global Paris Center, Westlake University, and EMBL.

Anzhong Wangمشاهده پروفایل

استاد

• Theoretical Physics
• Gravitational Wave Physics
• Quantum Cosmology
• +۴ مورد دیگر

Dr. Anzhong Wang is a Professor of Physics at Baylor University, affiliated with the College of Arts & Sciences' Department of Physics and Astronomy. He joined Baylor in 2003, with prior academic roles at institutions in Brazil, China, and the U.S. His research focuses on classical/quantum gravity, gravitational waves, black holes, and cosmology, particularly addressing dark matter/energy and early universe dynamics. He teaches courses such as General Relativity and Quantum Mechanics. Education: Ph.D. in Physics, Ioannina University (1991) M.S. in Physics, Northeast Normal University (1986) B.S. in Physics, Shandong Normal University at Liaocheng (1983) His research explores gravitational wave cosmology, black hole physics, and quantum cosmology. He has advised numerous Ph.D. and Master’s students, and his work has been published in leading journals like Physical Review D and Nature . He collaborates globally, including with institutions in Brazil, Japan, and China. Recent publications highlight studies on loop quantum gravity effects, gravitational wave propagation, and dark matter halo interactions with black holes. His contributions bridge theoretical frameworks with observational cosmology, addressing gravitational physics at fundamental scales.

Fu-Chen Hsiaoمشاهده پروفایل

استاد پژوهشی

• Semiconductor Physics
• Photonics
• Optoelectronic Devices
• +۵ مورد دیگر

Fu-Chen Hsiao is a Research Professor in the Department of Electrical and Computer Engineering at North Carolina State University. His research focuses on semiconductor material and device physics, photonic integrated circuits, and optoelectronic devices. He holds a Ph.D. in Electrical Engineering from the University of Illinois Urbana-Champaign (2021), an M.S. in Photonics from National Cheng Kung University (2012), and a B.S. in Physics from National Taiwan Normal University (2010). Before joining NC State, he was a postdoctoral research fellow in the same department. His work addresses high-efficiency III-Nitride-based LEDs, high-temperature laser diodes, and visible-spectrum photonic integrated circuits using wide bandgap semiconductors. He specializes in modeling electronic/optical properties of nanostructures and semiconductor heterostructures. Research interests span quantum information science, physical electronics, and photonic circuit design. Recent articles emphasize III-Nitride heterostructure modeling, GaN micro-LEDs for high-temperature applications, and resonant tunneling phenomena in quantum devices. His work bridges theoretical modeling with practical device fabrication. Awards: John Bardeen Memorial Graduate Research Award (2020-2021) E. A. Reid Fellowship (2019) Grants & Funding: Not explicitly detailed in provided texts. Labs/Teams: Active in semiconductor photonics and optoelectronics research groups within ECE at NC State.