جست‌وجوی استاد و پژوهشگر

Vivek Shenoyمشاهده پروفایل

استاد

• Mechanobiology
• Multiscale Modeling
• Biomaterials
• +۶ مورد دیگر

Vivek Shenoy is the Eduardo D. Glandt President's Distinguished Professor at the University of Pennsylvania, with primary appointments in the Department of Materials Science and Engineering and secondary appointments in Bioengineering and Mechanical Engineering and Applied Mechanics. He leads the Multiscale Mechanobiology and Biomaterials Laboratory, which focuses on developing theoretical frameworks and numerical methods to understand complex biological and engineering systems across multiple length scales. Shenoy's research spans mechanobiology, chromatin organization, cell mechanics, and biomaterials. His work addresses the fundamental challenge of modeling how small-scale cellular phenomena couple with long-range tissue-level interactions across micrometers to centimeters. By integrating insights from soft matter physics, solid mechanics, chemistry, and applied mathematics, his group develops multiphysics continuum and mesoscale theories to elucidate mechanisms controlling both biological and engineering systems. His recent publications demonstrate an increasing focus on nuclear mechanics, chromatin organization, and the interplay between mechanical forces and gene regulation. Analysis of Shenoy's publication record reveals a strong interdisciplinary approach, with high-impact papers spanning biophysics, materials science, and cell biology. His work shows consistent evolution from fundamental mechanics of materials to complex biological systems, with recent emphasis on the mechanical regulation of chromatin architecture, cell migration dynamics in 3D environments, and mechanotransduction in development and disease. His publications appear regularly in top journals including Nature, Science, and their affiliated publications, demonstrating significant influence across multiple fields. Eduardo D. Glandt President's Distinguished Professor Multiple publications in Nature, Science, and PNAS Active research program with publications through 2025 Shenoy actively mentors students and postdocs through his laboratory, with numerous co-authored publications indicating strong mentorship. His research program appears to be well-funded through multiple grants supporting his work in mechanobiology and biomaterials. The Multiscale Mechanobiology and Biomaterials Laboratory maintains active collaborations across disciplines and institutions, reflecting the interdisciplinary nature of his research. The Multiscale Mechanobiology and Biomaterials Laboratory, housed within the Department of Materials Science and Engineering at the University of Pennsylvania, serves as the primary research hub for Shenoy's work. The lab maintains an active presence on social media (Twitter: @ShenoyLab) for updates on activities and publications. Their research approach combines theoretical modeling with experimental validation to address fundamental questions at the interface of mechanics, materials science, and biology.

• Neuroscience
• Psychology
• Visual Perception
• +۳ مورد دیگر

Jonathan Winawer is an Associate Professor of Psychology and Neural Science at New York University (NYU). He leads the Winawer Laboratory for Human Visual Perception and Neuroscience, which is affiliated with the NYU Psychology Department, NYU Center for Neural Science, NYU Neuroscience Institute, and collaborates with the NYU Comprehensive Epilepsy Center and Stanford University's Human Intracranial Cognitive Program. Ph.D., Massachusetts Institute of Technology (2007) M.S., City College of the City University of New York (2005) A.B., Columbia University (1995) His research focuses on the biological basis of visual perception, including computational models of the visual pathways using fMRI, EEG, ECoG, and psychophysics. Key areas include: Encoding of visual stimuli in neural pathways Perceptual memory's influence on cognition Neural circuit properties underlying imaging signals Individual differences in visual perception Publications highlight interdisciplinary approaches spanning computational neuroscience, neuroimaging, and psychophysics, with recent work on population receptive fields, spatial frequency tuning, and memory-related cortical dynamics. He has mentored numerous students and postdocs, many of whom have advanced to academic and research roles at institutions like Stanford, Columbia, and the University of Amsterdam. Department of Psychology, NYU Center for Neural Science, NYU Neuroscience Institute, NYU Comprehensive Epilepsy Center, NYU Stanford University collaborations

Fabian Fagerholmمشاهده پروفایل

استادیار

• Software Engineering
• Human-Computer Interaction
• Agile Development
• +۳ مورد دیگر

Fabian Fagerholm is an Assistant Professor in the Department of Computer Science at Aalto University. His work bridges software engineering, human-computer interaction, and empirical research methodologies. He actively participates in research groups such as Software and Service Engineering (SSE) and Human-Computer Interaction and Design (HCID). Fagerholm's research explores: Continuous experimentation in software development Developer cognition and mental models Agile methodologies and team dynamics Low-code platforms and end-user programming Software engineering education and pedagogy His publications reflect a strong empirical focus, with recurring themes of human factors in technical systems and educational innovation. He has received notable awards including: Journal of Systems and Software Best Paper Award (2018) EUROMICRO SEAA Distinguished Paper Award (2017) Teacher of the Year (2013) Nokia Foundation Scholarship (2013) Fagerholm contributes to software engineering infrastructure through tools for experimentation and boundary artifacts, enhancing collaboration in distributed teams.

Arkaprava Basuمشاهده پروفایل

دانشیار

• Computer Architecture
• Graphics Processing Units (GPUs)
• Memory Management
• +۳ مورد دیگر

Dr. Arkaprava Basu is an Associate Professor at the Indian Institute of Science (IISc), Bangalore. He received the ACM India Early Career Researcher (ECR) Award 2024 for his innovative contributions to efficient memory management in GPUs and CPUs through cross-stack software-hardware research. Affiliation: Indian Institute of Science (2018–present) Prior Roles: Full-time Research Staff at AMD Research (Austin, USA, 2014–2018) Education: PhD in Computer Science from University of Wisconsin-Madison (2013) His research focuses on optimizing AI hardware systems by integrating compiler, runtime, and OS design with hardware architecture. Collaborations include long-term consultancy with tech giants, emphasizing practical implementations of his theoretical work. Recognitions: ACM India ECR Award (2024) for "creative and impactful contributions toward efficient memory management for GPUs and CPUs"

Rodney Harrisonمشاهده پروفایل

مدرس ارشد

• Critical Heritage Studies
• Archaeology
• Museum Studies
• +۷ مورد دیگر

Rodney Harrison is a Reader in Archaeology, Heritage and Museum Studies at the UCL Institute of Archaeology, University College London. He serves as the founding editor of the Journal of Contemporary Archaeology and has been Vice President of the Association of Critical Heritage Studies since 2012. His research focuses on critical heritage studies, contemporary archaeology, and future-making practices in heritage contexts. Harrison's work challenges traditional boundaries between past, present, and future in heritage discourse, emphasizing how heritage functions as a future-oriented practice. His research spans cultural and natural heritage, exploring connections between heritage conservation and other material legacy management systems, including nuclear waste disposal. Harrison leads the major international 'Heritage Futures' research program funded by the UK Arts and Humanities Research Council. This project represents one of the largest critical, comparative ethnographic studies of heritage practices, examining how different forms of heritage function as distinctive future-making practices across diverse contexts. His scholarly contributions include more than a dozen books and over 60 peer-reviewed articles. Notable publications include Collecting, Ordering, Governing: Museums, Anthropology and Liberal Government (2016), Heritage: Critical Approaches (2013), Reassembling the Collection (2013), Understanding the Politics of Heritage (2011), and The Heritage Reader (2008). Harrison's work consistently engages with critical theory, challenging conventional heritage frameworks and exploring innovative approaches to understanding how material and cultural legacies shape future possibilities. His research has significant implications for heritage policy, conservation practice, and theoretical developments in critical heritage studies.

Haibin Lingمشاهده پروفایل

استاد

• Computer Vision
• Medical Image Analysis
• Augmented Reality
• +۳ مورد دیگر

Haibin Ling is the SUNY Empire Innovation Professor in the Department of Computer Science at Stony Brook University, part of the College of Engineering and Applied Sciences. His research focuses on computer vision, medical image analysis, augmented reality, and AI applications in science. He holds a Ph.D. from the University of Maryland (2006) and prior degrees from Peking University. Previously, he worked at Temple University (2008–2019) and held roles at Siemens Corporate Research, UCLA, and Microsoft Research Asia. Professor Ling's work spans biomedical imaging, AI for science, and human-computer interaction. He leads the CV Lab and collaborates with the AI Institute at Stony Brook. Awards include the NSF CAREER Award (2014), Best Student Paper (ACM UIST 2003), and IEEE Fellow (2020). He serves on editorial boards for IEEE Trans. PAMI, Pattern Recognition, and CVIU, and chairs major conferences like CVPR. His research group includes over 50 students and alumni, with active projects in tracking benchmarks (LaSOT), Leafsnap, and medical imaging tools. Notable publications address OCTA flow estimation, backdoor attacks on vision models, and topology-guided medical learning. Collaborations involve institutions like Temple University and Stony Brook's Department of Applied Mathematics and Statistics.

Mayank R. Mehtaمشاهده پروفایل

استاد

• Neurophysics
• Synaptic Plasticity
• Learning and Memory
• +۳ مورد دیگر

Mayank R. Mehta is a Professor at the University of California, Los Angeles (UCLA), holding joint appointments in the Departments of Physics & Astronomy, Neurology, and Neurobiology. He is a member of the Brain Research Institute and the W. M. Keck Center for Neurophysics at UCLA. His research bridges experimental and theoretical neuroscience, focusing on how neuronal networks encode space-time, the role of brain rhythms in learning and memory, and the impact of sleep and virtual reality on neural dynamics. His recent publications highlight breakthroughs in understanding hippocampal spatiotemporal selectivity, dendritic activity during behavior, and the causal influence of visual cues on memory neurons. Notable findings include the discovery that dendrites generate ten times more spikes than neuronal cell bodies and the modulation of hippocampal theta rhythms in virtual reality. Research Themes: Neurophysics of spatial-temporal coding Dendritic contributions to learning Virtual reality and brain plasticity Neural oscillations in memory consolidation Key Collaborators: Bert Sakmann (Max Planck Florida Institute) Thomas Hahn (Bernstein Center Heidelberg/Mannheim) Maryam Ghorbani (UCLA) Mehta's lab at UCLA trains graduate and postdoctoral researchers in cutting-edge techniques combining hardware development, electrophysiological recordings, and biophysical modeling. His work has significant implications for treating learning and memory disorders like Alzheimer's disease.

Agnieszka Zabłocka-Kosمشاهده پروفایل

استاد

• Architecture History
• Urban Planning
• Sacred Architecture
• +۲ مورد دیگر

Professor Agnieszka Zabłocka-Kos is a faculty member at the Institute of Art History, University of Wrocław, specializing in Central European architectural history and urbanism. Her work focuses on 19th-20th century architecture, with particular emphasis on Wrocław/Breslau, including post-war reconstruction, national identity construction, and sacred space design. Professor, University of Wrocław Specialist in 19th-20th century Central European architecture Director of postdoctoral internships (NCN FUGA III) Recipient of multiple Rector's awards for research and teaching Research Themes: Urban development in Central Europe, political architecture in Poland/Germany, sacred architecture of the 19th century, post-war modernism, industrial architecture revitalization. Her students have produced award-winning theses on topics like Wrocław urban blocks, Silesian architects, and post-industrial adaptations. Scientific Contributions: Notable works include the edited volume Architecture in the 'long' 19th century (2019), multiple articles on Breslau's architectural conflicts, and international projects on Central European sacred architecture. She has supervised 33 master's and 5 doctoral theses, with several student works published as books. Dettloff Prize for dissertation (1992) Rector's awards for research and didactic achievements International projects with universities in Berlin, Freiburg, and Leipzig Advisor for Wrocław's Monument Office and City Development Bureau Her teaching integrates interdisciplinary approaches, linking art history with political, economic, and social contexts. She promotes student research popularization through conferences, exhibitions, and publications.

David A. Hsiehمشاهده پروفایل

استاد

• Financial Risk Management
• Hedge Funds
• Asset Pricing
• +۳ مورد دیگر

David A. Hsieh is the Bank of America Professor of Finance at the Fuqua School of Business, Duke University, where he has been a faculty member since 1993. Previously, he served as Associate Professor and Assistant Professor at the University of Chicago's Graduate School of Business from 1981-1989. His extensive research has significantly contributed to the understanding of hedge funds, financial risk management, and nonlinear dynamics in financial markets. Massachusetts Institute of Technology, Ph.D. in Economics, 1981 Yale University, B.S. in Economics and Mathematics, 1976 (Summa Cum Laude, Phi Beta Kappa) Phillips Academy, Andover, 1972 (Cum Laude) Dr. Hsieh's research primarily focuses on the dynamics of asset prices and their implications for financial risk management. He has made significant contributions to understanding risk and return characteristics in hedge funds and commodity funds, pioneering work on nonlinear dynamics applications to financial markets. His research has evolved from early work on exchange rates and volatility modeling to more recent comprehensive analyses of hedge fund strategies, performance measurement, and industry structure. Hsieh's publication history reveals a clear progression from foundational work on nonlinear dynamics in financial markets to increasingly sophisticated analyses of hedge fund strategies and risk characteristics. His recent work, often in collaboration with William Fung and other prominent finance researchers, has focused on mega hedge fund firms, franchise value in the industry, and the evolution of hedge fund strategies toward more index-like products. The research consistently combines rigorous theoretical frameworks with robust empirical analyses across diverse market conditions. CAIA Award for Excellence in Alternative Investment Research (2015) CFA Institute Graham and Dodd Award of Excellence (2004) Bank of America Faculty Award (2002) Duke Cross-Continent Executive MBA Teaching Excellence Award (2002) Fischer Black Memorial Foundation Robert J. Schwartz Memorial Prize (1999) Smith Breeden First Prize (1990) Yale Science and Engineering Association High Scholarship Award (1976) Russell Henry Chittenden Prize (1976) Dr. Hsieh has served as a consultant for the International Monetary Fund (2007-2016) and the Bank for International Settlements (1998), and as a Visiting Scholar at both the International Monetary Fund and the Board of Governors of the Federal Reserve System. His editorial service includes Finance Editor for Management Science (2003-2009) and Associate Editor roles for several leading finance journals. He has developed extensive research resources including a Hedge Fund Data Library that has become widely used in academic and industry research.

Andrew Childsمشاهده پروفایل

استاد

• Quantum Algorithms
• Quantum Information Processing
• Quantum Simulation
• +۲ مورد دیگر

Andrew Childs is a Professor at the University of Maryland, affiliated with the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS). He serves as Director of the NSF Quantum Leap Challenge Institute for Robust Quantum Simulation (RQS) and is a Fellow at the Joint Center for Quantum Information and Computer Science (QuICS). His research focuses on quantum algorithms for simulating physical systems, algebraic problems, and quantum walk protocols, with applications in quantum computing and computational complexity. University of Maryland Institute for Advanced Computer Studies (UMIACS) Joint Center for Quantum Information and Computer Science (QuICS) NSF Quantum Leap Challenge Institute for Robust Quantum Simulation Childs' research spans quantum simulation, quantum Fourier transform, phase estimation, and Hamiltonian dynamics. He has developed techniques to reduce quantum computational resources for simulating quantum systems and explored limitations of quantum computers through hidden subgroup problems and non-unitary dynamics. His publications cover diverse areas including quantum walk optimization, Hamiltonian simulation methods, and applications to cryptography and condensed matter physics. Recent works address spatial search algorithms, product formulas for commutators, and quantum routing protocols. As an educator, Childs has taught courses on quantum algorithms and information processing at both the University of Maryland and University of Waterloo, with lecture notes and materials spanning multiple years. Contact: amchilds@umd.edu | Office: ATL 3359 | Affiliated with University of Maryland's quantum research institutes.

Nicolas Mathevonمشاهده پروفایل

استاد

• Acoustic Communication in Animals
• Bioacoustics
• Animal Behavior
• +۷ مورد دیگر

Nicolas Mathevon is a Professor at the University of Saint-Etienne, with a focus on Animal Behavior and Bioacoustics . He currently serves as Director of Studies at Ecole Pratique des Hautes Etudes and leads the ENES Team . His research explores acoustic communication across diverse species, including crocodiles, seals, penguins, and humans, with particular emphasis on vocal recognition, signal evolution, and neurobiological underpinnings. Major collaborations include Dr. T. Aubin (CNRS), Dr. I. Charrier (marine mammals), Dr. N. Grimault (crocodilian bioacoustics), and Prof. D. Reby (human communication). He also co-edits a new book, The Voices of Nature , published by Princeton University Press. His recent work spans ecoacoustic monitoring for conservation, multi-modal communication in crocodiles, and cross-species analysis of distress signals in bonobos, chimps, and humans. Neurobiological studies include brain activation patterns in response to vocalizations and sound localization mechanisms in reptiles. Scientific Awards include senior membership in the Institut universitaire de France .

David Duvenaudمشاهده پروفایل

دانشیار

• Machine Learning
• Generative Models
• Bayesian Inference
• +۵ مورد دیگر

David Duvenaud is an Associate Professor at the University of Toronto , holding a Canada Research Chair in Generative Models and a Schwartz Reisman Chair in Technology and Society . He is cross-appointed to the Department of Computer Science and Department of Statistical Sciences . A Sloan Research Fellow and founding member of the Vector Institute , his work bridges deep probabilistic models , AI safety , and scientific computing . PhD in Machine Learning (University of Cambridge, 2014) Postdoc in Hyperparameter Optimization (Harvard University, 2016) Co-founded Invenia (energy forecasting company) His research spans foundational Neural Ordinary Differential Equations (NeurIPS 2018 Best Paper) and Automatic Chemical Design (ACS Central Science 2018) to recent work on AGI governance (2025) and AI safety (2024). Key contributions include stochastic variational inference , implicit differentiation frameworks , and antisymmetrization layers for quantum Monte Carlo. Recent publications (2024-2025) focus on systemic existential risks from AI , many-shot jailbreaking attacks , and epistemic uncertainty quantification . His group trains energy-based models with scalable MCMC samplers and develops invertible neural architectures (e.g., Residual Flows NeurIPS 2019). He also explores human-AI alignment through LLM Processes (NeurIPS 2024) and Sycophancy in Language Models (ICLR 2024). Canada Research Chair (2025) NSERC Grant (2025) Sloan Research Fellow (2021) Schwartz Reisman Chair (2021) Best Paper Award (NeurIPS 2018) Distinguished Paper Award (ICFP 2021) His students include James Requeima , Jesse Bettencourt , and Raymond Douglas . He teaches courses on Statistical Methods for Machine Learning and Differentiable Inference . Current work (2025) investigates systemic human disempowerment through incremental AI capabilities and sabotage risk mitigation via hyperparameter-aware evaluations.

Hao Liuمشاهده پروفایل

استادیار

• Deep Learning
• Neural Networks
• Machine Learning
• +۵ مورد دیگر

Hao Liu is an incoming Assistant Professor of Machine Learning at Carnegie Mellon University and currently works as a research scientist at Google DeepMind. Previously, he completed his Ph.D. in Computer Science at UC Berkeley under the supervision of Pieter Abbeel. He also spent two years part-time at Google as part of the Google Brain team. His educational background includes: Ph.D. in Computer Science from UC Berkeley Hao Liu's research focuses on solving intelligence through deep learning, neural networks, and innovative learning objectives. His work spans multiple areas including large language models, reinforcement learning, world models, and attention mechanisms for long context processing. He has made significant contributions to making transformer models more efficient and capable of handling extremely long sequences through techniques like Ring Attention and Blockwise Transformers. His recent publications demonstrate a strong focus on extending the capabilities of language and vision models, particularly in handling long sequences and multimodal data. Key themes include attention optimization, tokenization efficiency, and alignment techniques. His work bridges theoretical advances with practical implementations for real-world AI systems, with multiple papers at top conferences including NeurIPS, ICML, and ICLR, often receiving spotlight or oral presentations. Hao is actively involved in open-source AI research, having contributed to projects like Koala and OpenLLaMa, which aim to make advanced language models more accessible to the research community. His work on RingAttention has been implemented as a Python package available on GitHub, demonstrating his commitment to practical implementations and community sharing.

• Neurosciences
• Biomedical Engineering
• Cognitive Sciences
• +۴ مورد دیگر

Dr. Juan Alvaro Gallego is a Senior Lecturer (equivalent to Associate Professor) in the Department of Bioengineering at Imperial College London's Faculty of Engineering. He leads the Behaviour and Neural Dynamics Lab (Be.Neural), a multidisciplinary team focused on understanding neural mechanisms underlying motor control and spinal cord learning, with applications in developing neural interfaces to restore movement in conditions like Parkinson’s disease and paralysis. His research integrates behavioral experiments, neural recordings, data analysis, and computational models, funded by the ERC, EPSRC, ARIA, and industry partners like InBrain Neuroelectronics and Meta Reality Labs. Research interests include motor control, neural dynamics, and clinical applications of neural engineering. The lab collaborates across systems neuroscience and biomedical engineering, aiming to translate fundamental discoveries into therapeutic technologies. Key areas of focus include neural manifolds, synaptic plasticity in motor learning, and closed-loop neuroprosthetics for tremor management. Funding sources include the European Research Council, Engineering and Physical Sciences Research Council, and industry collaborations. The Be.Neural Lab’s work is showcased on their dedicated website (https://beneural.ic.ac.uk).

Sunny Xiangمشاهده پروفایل

دانشیار

• Asian/Pacific/American literature and culture
• war, militarism, and imperialism in Asia and the Pacific
• Cold War and mid-century culture
• +۱۴ مورد دیگر

Sunny Xiang is an Associate Professor of English at Yale University, where she teaches and conducts research at the intersection of literature, race, war, and empire. Her work critically examines U.S. military empire in Asia and the Pacific, particularly through aesthetic, cultural, and documentary forms from the mid-twentieth century. She is affiliated with the Department of English in the Faculty of Arts and Sciences at Yale. Ph.D., University of California, Berkeley B.A., Northwestern University Her research focuses on the cultural genealogies of American empire, with an emphasis on how war and militarism shape perception, knowledge, and everyday life. Key areas include Cold War aesthetics, Asian American studies, Pacific studies, critical militarization studies, and feminist science studies. She is particularly interested in how literary and cultural forms reveal the intimate, quotidian, and often invisible operations of empire. Her publications span journals such as ASAP/Journal , Radical History Review , PMLA , and Public Books . Her first book, Tonal Intelligence: The Aesthetics of Asian Inscrutability During the Long Cold War (Columbia University Press, 2020), explores the visual and narrative trope of Oriental inscrutability in relation to U.S. intelligence operations. Her current project, Chemical Apophenia: Air Conspiracies and Skin Connections in the Toxic Tropics , investigates how WWII military science in the Pacific generated new paradigms for detecting toxicity. The articles reflect a consistent engagement with themes of militarized domesticity, aesthetic excess, diasporic memory, and the entanglement of fashion, food, and war in imperial contexts. Mundane Militarisms: War, Archives, and Everyday Life (2024) Militarized Comfort: How to Feel Naked While Wearing Clothes (2023) Bikinis and Other Atomic Incidents: The Synthetic Life of the Nuclear Pacific (2022) Wars of Contemporary Life (2020) Global China as Genre (2019) Sunny Xiang has not been mentioned in relation to any scientific awards or fellowships in the provided text. She teaches courses such as War and Everyday Life, Readings in Comparative World English Literatures, and The Teaching of English. While her advisees or research teams are not listed, her scholarship demonstrates deep engagement with interdisciplinary methodologies and collaborative work, such as with the Mundane Militarisms Collective. She has not indicated any lab affiliations, but her research involves critical archival work and analysis of visual, literary, and cultural materials.