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جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۱-۱۵ از ۱۱٬۰۰۱ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Thomas Hofmannمشاهده پروفایل

استاد

ETH ZurichSwitzerland

Prof. Dr. Thomas Hofmann is a Full Professor and Head of the Department of Computer Science at ETH Zurich since 2014. He also leads the Institute for Machine Learning. His research focuses on machine learning, deep learning, natural language understanding, and text understanding. Hofmann holds a Ph.D. from the University of Bonn (1997) and has held academic positions at Brown University (1999–2004) and TU Darmstadt. He transitioned to industry as Director of Engineering at Google (2006–2014), leading the Zurich R&D center, before returning to academia. He co-founded Recommind (2000) and 1plusX (Swiss marketing tech company), currently serving as Chief Scientist and board member at 1plusX. Education: Ph.D. in Computer Science, University of Bonn (1997) Postdoctoral Work: MIT (CBCL/AI Lab), UC Berkeley (EECS/ICSI) His research explores advanced machine learning techniques, including diffusion models, generative adversarial networks, and optimization dynamics. Hofmann’s entrepreneurial ventures reflect his focus on applying AI to real-world challenges, such as e-discovery and marketing technology. His work spans theoretical contributions (e.g., neural network training dynamics, continual learning) and applied innovations (e.g., image editing, portrait generation). Hofmann actively bridges academia and industry, influencing both research and commercial AI applications.

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Russell Epsteinمشاهده پروفایل

استاد

University of PennsylvaniaUnited States

Russell Epstein is a Professor and Director of Graduate Studies in the Department of Psychology at the University of Pennsylvania. He is affiliated with the Center for Cognitive Neuroscience and Goddard Labs. His research focuses on neural mechanisms underlying visual scene perception, spatial navigation, and memory. Epstein holds a BA in Physics from the University of Chicago and a PhD in Applied Mathematics from Harvard University. Epstein’s research interests include high-level vision, spatial cognition, and the neural basis of environmental representations. His lab uses functional MRI and cognitive neuroscience techniques to study how scenes, objects, landmarks, and spaces are encoded in brain systems such as the parahippocampal place area and retrosplenial cortex. Recent work explores cognitive maps, grid-like neural representations, and the role of multisensory cues in navigation. His articles emphasize spatial navigation strategies, hierarchical cognitive maps, and the interplay between perception and memory. Notable contributions include investigations into hippocampal spatial metrics, olfactory navigation, and the neural underpinnings of environmental learning. Epstein teaches courses on cognitive neuroscience, including PSYC 149 and PSYC 600. He advises two graduate students in Psychology and has no listed scientific awards. His work is supported by grants (unspecified) and conducted within collaborative teams at the Center for Cognitive Neuroscience. Epstein’s research extends to labs focused on spatial cognition and neuroimaging, advancing understanding of how humans mentally map environments through visual and sensory integration.

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Brent Doironمشاهده پروفایل

استاد

University of ChicagoUnited States

Brent Doiron is a Professor at the University of Chicago, holding appointments in the Departments of Neurobiology and Statistics, and serving on the Committee on Computational and Applied Mathematics (CCAM). His research integrates nonlinear dynamics and statistical mechanics to study neural circuit variability, focusing on mechanisms underlying neural coding and network learning through collaborations with experimentalists in sensory systems. Education: PhD in Physics (University of Ottawa, 2004) Postdoc: Center for Neural Science at New York University (2017) Previous Roles: Mathematics Professor at University of Pittsburgh (2007-2020), Co-Director of Neural Computation Program at Carnegie Mellon Neuroscience Institute Research interests center on neuronal population dynamics, recurrent circuit mechanisms, and computational neuroscience. Current work investigates correlated variability in cortical networks, inter-areal communication, and stochastic spiking models. Recent publications emphasize cortical stability/gain modulation, asynchronous/synchronous activity balance, and Bayesian inference frameworks. Key themes include sensory processing, network plasticity, and dimensionality reduction in neural coding. Scientific Awards Alfred P. Sloan Research Fellowship in Neuroscience Vannevar Bush Faculty Fellowship Chancellor’s Distinguished Research Award (University of Pittsburgh) Active grants include NIH R01 and R90/T90 awards for neuronal dynamics research and computational neuroscience training programs.

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Insup Leeمشاهده پروفایل

استاد

University of PennsylvaniaUnited States

Insup Lee is the Cecilia Fitler Moore Professor in the Department of Computer and Information Science and Director of the PRECISE Center at the University of Pennsylvania's School of Engineering and Applied Science. He holds a secondary appointment in the Department of Electrical and Systems Engineering and the Perelman School of Medicine’s Department of Biostatistics, Epidemiology, and Informatics. IEEE TCCPS Distinguished Leadership Award (2023) Fellow of the AAAS (2022) Test of Time Award, Runtime Verification (2019) Fellow of the ACM (2017) Best Paper Awards at IEEE ICPS, ACM/IEEE ICCPS, and MEMOCODE His research focuses on cyber-physical systems , real-time and embedded systems , safe autonomy , and internet of medical things , with applications in healthcare and connected systems. He advises PhD students including Eric Lu, Kaustubh Sridhar, Sooyong Jang, and Jean Park (co-advised with Kevin Johnson). Recent publications address safety monitoring for learning-enabled systems, model-free control synthesis using reinforcement learning, and multilingual toxicity guardrails for large language models. His team collaborates with institutions like Hillrom and Penn Nursing to optimize medical device usage in clinical settings.

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Joseph Kableمشاهده پروفایل

استاد

University of PennsylvaniaUnited States

Joseph Kable is the Jean-Marie Kneeley President's Distinguished Professor of Psychology at the University of Pennsylvania's Department of Psychology within the School of Arts and Sciences. His research integrates experimental economics, cognitive neuroscience, and personality psychology to investigate the neural and psychological mechanisms underlying decision-making. He explores how subjective value is represented in the brain, deviations from rational choice theory, and individual differences in decision processes. His lab employs fMRI and interdisciplinary methods to study topics like risk tolerance, impulsivity, and neural plasticity. Education: BS in Chemistry from Emory University (undergraduate), PhD in Neuroscience from the University of Pennsylvania (doctoral). Research focuses on behavioral and cognitive neuroscience mechanisms of choice, including studies on temporal predictions, value signals, and brain structure-function relationships. His recent work examines how neural markers correlate with decision-making variability across individuals. He currently advises graduate students in Psychology and has post-doctoral researchers in his lab. Associated with MindCORE, Penn's hub for integrative mind research. Lab activities include undergraduate research programs and active studies exploring decision neuroscience and neuroeconomics.

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Byron Yuمشاهده پروفایل

استاد

Carnegie Mellon UniversityQatar

Byron Yu is a Professor in Electrical & Computer Engineering and Biomedical Engineering at Carnegie Mellon University, with affiliations to the Neuroscience Institute and Robotics Institute. He is a core faculty member of the Center for the Neural Basis of Cognition. Research focuses on computational neuroscience , neural dynamics , and brain-machine interfaces . Key contributions include dimensionality reduction techniques and neural population activity analysis. Recent publications explore topics such as neural dynamics during motor imagery, BCI optimization, and attentional processing. His work has appeared in Nature Neuroscience , Neuron , and eLife , often as cover articles. Awardees include the Gerard G. Elia Career Development Professorship and AIMBE Fellowship . His lab has mentored numerous PhD and postdoctoral researchers, many now in academic and industry leadership roles.

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Karen I. Wineyمشاهده پروفایل

استاد

University of PennsylvaniaUnited States

Karen I. Winey serves as the Harold Pender Professor in the Department of Chemical and Biomolecular Engineering and Materials Science and Engineering at the University of Pennsylvania's School of Engineering and Applied Science. Her research group employs experimental and computational tools to investigate advanced polymers for energy applications, particularly focusing on proton and ion conductivity for fuel cells and batteries within the Laboratory for Research on the Structure of Matter (LRSM). Dr. Winey's research encompasses: Designing functional polymers to improve proton, hydroxide, and ion conductivity Studying polymer nanocomposites and nanoparticle dynamics in electrochemical devices Developing polymer-to-polymer upcycling methods to convert waste polyolefins to higher value polymers Revolutionizing understanding of ionomer morphologies beyond traditional spherical aggregate models Her recent publications reveal significant advances in sustainable energy materials, particularly fluorine-free alternatives to conventional polymer electrolytes. The research spans fundamental studies of ion transport mechanisms in precisely engineered polymers to practical applications in energy devices. A critical focus is understanding how nanoscale morphology affects macroscopic properties, with particular attention to structure-property relationships in ion-conducting polymers for fuel cells and batteries. Scientific recognition includes: 2025 Turner J. Alfrey Visiting Professor Harold Pender Professorship (endowed chair) NSF DMR Polymers grant awarded July 2025 Dr. Winey actively mentors a diverse research group including PhD students, postdoctoral researchers, and undergraduates. Her lab recently welcomed six summer undergraduates and has celebrated numerous student achievements including qualifying exam successes and award-winning presentations. Current major projects include the Port5 collaboration and the PolyUp project focused on polymer upcycling through dehydrogenation and functionalization strategies. The Winey Group operates within Penn's state-of-the-art Vagelos Laboratory for Energy Science and Technology (VLEST), maintaining active collaborations with institutions including the University of Konstanz in Germany, Florida State University, and Michigan State University. The group regularly hosts international visitors and participates in major conferences including the APS Global Physics Summit.

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Li LUمشاهده پروفایل

استاد

National University of SingaporeSingapore

Prof. Li LU is a Professor at the Department of Mechanical Engineering, National University of Singapore (NUS). His research focuses on energy storage materials, ferroelectric systems, and advanced battery technologies. He holds editorial roles at Functional Materials Letters and Materials Technology – Advanced Functional Materials . Education: PhD from KU Leuven (Belgium), M.Eng and B.Eng from Tsinghua University (China). Research interests include thin film deposition, nanostructured materials, and solid-state electrolytes. His work addresses challenges in lithium/ sodium-ion batteries, solid-state interfaces, and high-performance energy storage systems. Recent studies emphasize aerosol deposition techniques, composite electrolytes, and interfacial stability. Publications highlight advancements in battery materials and electrolyte design. Notable contributions include ultra-stable sodium-ion batteries, ferroelectric-engineered electrolytes, and optimizing lithium metal anodes. His research bridges fundamental material science with practical energy solutions.

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Alois Christian Knollمشاهده پروفایل

استاد

Technical University of MunichGermany

Prof. Alois Christian Knoll is a full professor at the Technical University of Munich (TUM) in the School of Computation, Information and Technology. His academic career includes roles at Bielefeld University and leadership in major EU initiatives like the Human Brain Project and ECHORD++. He specializes in robotics, AI, and autonomous systems, with a focus on medical robotics, sensor-based systems, and neuromorphic engineering. Knoll has supervised over 100 doctoral theses and authored/co-authored over 1,000 publications. Education: Diploma in Electrical Engineering (University of Stuttgart, 1985); PhD in Computer Science (Technical University of Berlin, 1988); Habilitation (TU Berlin, 1993). He has been at TUM since 2001, leading the Robotics, AI, and Real-Time Systems department. Research interests span autonomous systems, neuro-IT integration, and traffic simulation. Key projects include fortiss (Bavarian State Institute for Computer Science) and TUM-CREATE (Singapore collaboration). Awards include IEEE Fellow, University of Tokyo Fellow, and the Carl-Ramsauer-Prize (1990). Current roles include editorships in robotics journals, leadership in EU flagship projects, and teaching across multiple programs. His work bridges computer science, neuroscience, and engineering, with applications in healthcare, automotive systems, and urban mobility.

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Belkis Ezgi Arikanمشاهده پروفایل

پژوهشگر

University of TübingenGermany

Belkis Ezgi Arikan is a researcher at Justus Liebig University Giessen , affiliated with the Department of Psychology and Sports Science . Her work focuses on sensorimotor integration, tactile suppression, and neural mechanisms underlying action-outcome monitoring. She collaborates with Prof. Dr. Fiehler and Dr. Voudouris on project A4 (Predictive somatosensory processing during voluntary movements). Department: Psychology and Sports Science Collaborators: Dr. Dimitris Voudouris, Prof. Dr. Katja Fiehler Her research investigates: How the brain processes self-generated vs. externally generated sensory feedback Neural correlates of tactile suppression networks Role of cerebellum and angular gyrus in temporal recalibration Modulation of BOLD responses during action monitoring Recent publications reveal trends in predictive coding , sensorimotor recalibration , and neural suppression mechanisms across tactile, visual, and multisensory domains. Her work employs neuroimaging techniques like fMRI and behavioral paradigms to study self-motion perception and feedback processing. She contributes to understanding how the brain distinguishes self-initiated from external sensory events, with implications for motor learning and perceptual timing mechanisms.

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Rakesh Kumarمشاهده پروفایل

استاد

University of Illinois Urbana-ChampaignUnited States

Rakesh Kumar is a Professor and John Bardeen Faculty Scholar in the Electrical and Computer Engineering Department at the University of Illinois at Urbana-Champaign. His work focuses on computer architecture, system-level design automation, and low-power computing. PhD in Computer Engineering from University of California, San Diego BS in Electrical Engineering from IIT Kharagpur His research spans all layers of the computing stack, with key contributions to flexible computer systems , waferscale computing , error-resilient architectures , and approximate computing . He has pioneered work on voltage-reliability tradeoffs and peak power management techniques. Recent publications highlight trends in space microdatacenters , printed microprocessors , and neural graph accelerators . His work on plastic chips was recognized as one of the three biggest semiconductor headlines of 2022 by IEEE Spectrum. IEEE Fellow (2024) ISCA Influential Paper Award MICRO Test-of-Time Award ICCAD Ten Year Retrospective Most Influential Paper Award Best Paper Awards at CASES, SELSE, HPCA He has received teaching accolades including the Stanley H. Pierce Faculty Award and Ronald W. Pratt Outstanding Teaching Award . His research group explores hardware-software co-design for emerging applications in AI, IoT, and sustainable computing.

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Ishan Sharmaمشاهده پروفایل

استاد

Indian Institute of Technology Kanpur (IITK)India

Ishan Sharma is a Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in Mechanics and Applied Mathematics. His research focuses on granular materials, planetary science, contact mechanics and adhesion, soft materials, dynamics, structural vibrations, wave propagation, stability, and fluid-structure interaction. Dr. Sharma's research interests include modeling granular systems for geophysical and industrial applications, with specific emphasis on dynamics of granular minor planets and segregation in granular mixtures. His work bridges theoretical mechanics with practical applications in both space science and engineering contexts. The research spans multiple disciplines, connecting planetary science, materials science, and mechanical engineering through mathematical modeling and computational approaches. His scholarly contributions demonstrate significant trends in applying mechanical principles to celestial bodies and industrial processes. The work on granular materials has important implications for understanding asteroid formation, while his contact mechanics research informs material science and engineering design. His publications reveal a consistent focus on stability phenomena across different physical systems. INAE Young Engineer Award Dr. Sharma leads the Mechanics and Applied Mathematics research group at IIT Kanpur, supervising research projects that examine fundamental properties of materials under various mechanical conditions. His work combines theoretical analysis with computational methods to address complex mechanical problems with both academic and practical significance. He maintains an active research program with ongoing projects examining the mechanical behavior of granular systems in space environments. Based in office NL-102 in the Department of Mechanical Engineering, Dr. Sharma contributes significantly to the academic community through his teaching, research supervision, and scholarly publications in high-impact journals.

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Natalie H. Britoمشاهده پروفایل

دانشیار

New York UniversityUnited States

Natalie H. Brito is an Associate Professor of Applied Psychology at New York University (NYU), affiliated with the Steinhardt School of Culture, Education, and Human Development. Her research focuses on how early social and cultural contexts shape neurocognitive development in infants and toddlers, particularly in areas of attention, memory, and socio-emotional skills. Prior to NYU, she completed a postdoctoral fellowship at Columbia University Medical Center and was a Robert Wood Johnson Health and Society Scholar. Dr. Brito’s work bridges developmental psychology, neuroscience, and public policy, emphasizing the need for equitable environments that support healthy child development. She has received prestigious awards such as the APS Rising Star Award and NIH grants, reflecting her impactful contributions to understanding developmental trajectories. Her research also extends to policy implications, such as the effects of paid maternal leave on infant brain function and the role of structural inequities in maternal mental health. Key themes include early life stress, gut microbiome influences, and the neurobiological underpinnings of cognitive development. Dr. Brito has published extensively in journals like Child Development , Developmental Cognitive Neuroscience , and JAMA Psychiatry , with a focus on innovative methodologies (e.g., the OWLET gaze-tracking tool). She teaches courses on developmental psychology and the principles of applied psychology, fostering interdisciplinary approaches to human development. Her scientific accolades include recognition from the International Society of Developmental Psychobiology and the American Psychological Association, underscoring her leadership in advancing developmental science and equity-focused research.

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Sungjin Kimمشاهده پروفایل

استادیار

University of New MexicoUnited States

Dr. Sungjin Kim is an Assistant Professor in the Department of Chemical and Biological Engineering at The University of New Mexico (UNM). He earned his Ph.D. in Materials Science and Engineering from MIT (2020) as a Samsung Scholarship Fellow, with prior degrees from KAIST (M.S. 2011, B.S. 2009) and exchange experience at Georgia Tech (2008). His research focuses on bioinspired, energy-efficient materials design for sustainability and healthcare. Education: Ph.D., MIT (2020) M.S. and B.S., KAIST (2011, 2009) Exchange Student, Georgia Tech (2008) Research Interests: Dynamic crosslinking in polymers, bioinspired mineralization for CO2 utilization and hard-tissue engineering, vitrimers for recyclable composites, and sustainable additive manufacturing. His work bridges fundamental chemistry (e.g., metal-coordinate bonds) and applied engineering (e.g., 3D printing). Notable Publications (2025-2022): Explore polyisocyanurate foams, dynamic vitrimer composites, and bioinspired mineralization strategies. Common themes include sustainable materials, dynamic bonding, and hybrid organic-inorganic systems. Awards: Samsung Scholarship Fellow (2014-2019) Government Scholarship (Korea, 2009-2011) Research Report of the Year Award (2012, SKC Co., Ltd.) Outstanding New Researcher Award (2011, SKC Co., Ltd.) Students: Advisees include graduate students Leila Shahriari and Michael Nelwood, and undergraduates Tyrus Antonson and Jacqueline Buenviaje. Former members include Catherine Biju (M.S. candidate) and Lillian Elam (undergraduate).

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Albert Prestoمشاهده پروفایل

استاد پژوهشی

Carnegie Mellon UniversityQatar

Albert Presto is a Research Professor in the Department of Mechanical Engineering at Carnegie Mellon University with a courtesy appointment in Civil and Environmental Engineering. He serves as Director of the Center for Atmospheric Particle Studies (CAPS) and is a Faculty Affiliate at the Steinbrenner Institute for Environmental Education and Research. His work spans multiple interdisciplinary collaborations across environmental science, engineering, and public health domains. Department of Mechanical Engineering, College of Engineering Center for Atmospheric Particle Studies (CAPS) Steinbrenner Institute for Environmental Education and Research Africa Clean Air Network Advisory Council Health Effect Institute's Energy Review Committee Presto's research focuses on pollutant emissions from energy extraction and consumption and their subsequent atmospheric transformations. His work examines how gas and oil wells emit methane, how vehicles emit carbon monoxide and particulate matter, and how these pollutants undergo oxidation in the atmosphere to create secondary pollutants like ozone and secondary particulate matter. His approach combines ambient measurements, laboratory experiments, source testing of pollution sources, and atmospheric models to provide a holistic view of pollutant emissions and transformations. His recent publications reveal a strong emphasis on air quality monitoring technologies, particularly low-cost sensor networks deployed internationally. There's a clear trend toward studying air pollution in African cities (especially Nairobi, Kampala, and Addis Ababa), examining spatial and temporal variability of particulate matter, and investigating the health impacts of air pollution exposure. His work increasingly integrates machine learning approaches for pollution forecasting and leverages international collaborations to address global air quality challenges. Member of Africa Clean Air Network Advisory Council Collaborator with US embassies worldwide on air quality data collection Quoted in The Guardian on inequality of air pollution exposure, specifically noting how people of color are more likely to be exposed to harmful air pollution Collaborated on research regarding chemicals released during the Ohio train derailment Presto actively collaborates with medical professionals to develop neighborhood-by-neighborhood studies of pollutant exposure and to understand relationships between emissions and health effects like childhood asthma. His work includes investigating racial-ethnic exposure disparities to airborne pollutants and examining how proximity to pollution sources like fast-food restaurants affects pediatric asthma outcomes. He has received seed funding from the Scott Institute for Energy Innovation for research in clean hydrogen production, AI hardware efficiency, and decarbonizing transportation. As Director of CAPS, Presto leads a research team focused on atmospheric particle studies with applications ranging from local Pittsburgh air quality to global monitoring initiatives. His lab develops and deploys advanced air quality monitoring technologies, including low-cost sensor networks that have been implemented in multiple cities across Africa. The CAPS research group works at the intersection of environmental engineering, atmospheric science, and public health to address critical air quality challenges worldwide.

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