جست‌وجوی استاد و پژوهشگر

Omar A. Salehمشاهده پروفایل

استاد

• Biophysics
• Soft Matter Physics
• Polymer Physics
• +۵ مورد دیگر

Professor Omar A. Saleh is a distinguished physicist and materials scientist at the University of California, Santa Barbara, holding appointments in both the Materials and Physics Departments. Since summer 2023, he has served as Chair of the Materials Department and maintains a minority appointment in the Biomolecular Science and Engineering (BMSE) Program, where he previously served as Director from 2013-2017. His educational background includes a B.S. in Physics from MIT (1997) and a Ph.D. in Physics from Princeton (2003), supported by a Hertz Fellowship. Following postdoctoral work at École Normale Supérieure in Paris developing single-molecule techniques for motor protein/DNA studies, he joined UCSB in 2005. Saleh's research centers on fundamental principles of biomolecular behavior through experimental investigation of biopolymer elasticity and biomimetic organelles. His lab pioneers precision single-molecule stretching experiments to study entropic/energetic contributions in soft systems and creates life-like behaviors using reconstituted nucleic acid/protein assemblies. Key focus areas include DNA nanostar phase separation, liquid-liquid phase behavior, intrinsically disordered proteins, and non-equilibrium biomolecular systems. His publication trends reveal a strong emphasis on biomolecular condensates (2023-2025), with recurring themes in DNA nanotechnology, polyelectrolyte physics, and single-molecule mechanics. Recent work explores tension-mediated control of phase separation, transcriptional regulation of biomolecular liquids, and active matter principles in DNA systems. NSF CAREER Award (2008) Bessel Research Award from Alexander von Humboldt Society (2017) Fellow of the American Physical Society (2019) Saleh actively mentors graduate students and postdocs including Sam Wilken, Gabrielle Abraham, Anna Nguyen, and Aria Chaderjian, whose research spans DNA nanostar liquids, active droplets, and complex coacervation. His lab develops innovative instrumentation including high-speed magnetic tweezers and GPU-based tracking systems, supported by grants such as NSF/MCB-BSF: Direct force measurements of intrinsically disordered proteins. The Saleh Group operates at BioE 3006, focusing on creating quantitative models of biological function through physical reconstitution.

Renjie Fengمشاهده پروفایل

پژوهشگر ارشد

• Probability Theory
• Random Matrix Theory
• Machine Learning
• +۵ مورد دیگر

Renjie Feng is a Research Fellow in Mathematics and AI at the School of Mathematics and Statistics and the Sydney Mathematical Research Institute , University of Sydney. His work bridges probability theory, statistics, and applications in machine learning, deep learning, and artificial intelligence. His research interests focus on probability theory and its applications to machine learning , random matrix theory , and statistical physics . He investigates extreme value problems, spectral properties of random matrices, and topological features of random fields over Riemannian manifolds. Recent publications highlight trends in random matrix theory (GUE, GOE, GSE), extreme gap problems , determinantal point processes , and Wiener chaos . Collaborative works with F. Götze, D. Yao, and R. Adler emphasize U-statistics , multivariate linear statistics , and random topology inspired by Poisson point process studies.

Simon Kingمشاهده پروفایل

استاد

• Speech Synthesis
• Speech Processing
• Acoustic Modeling
• +۴ مورد دیگر

Simon King is a Professor of Speech Processing at the University of Edinburgh , affiliated with the School of Philosophy, Psychology and Language Sciences . He serves as Director of the Centre for Speech Technology Research (CSTR) and teaches courses like Speech Processing and Speech Synthesis , while directing the MSc in Speech and Language Processing . Research Interests His research focuses on: Developing new acoustic models (e.g., Linear Dynamical Models, factorial-HMMs) for speech recognition Advancing unit selection and HMM-based speech synthesis Integrating articulatory measurement data for enhanced modeling Exploring perceptual measures in synthesis criteria Building multilingual speech systems to identify universal speech building blocks Publication Trends Simon's recent work emphasizes deep learning (DNNs, LSTMs) in speech synthesis, multilingual frameworks , and articulatory-acoustic feature integration . His studies often bridge grapheme-based modeling , perceptual error reduction , and noise-robust synthesis . Scientific Awards EPSRC Advanced Research Fellowship (2005-2009) Students & Collaborations He has supervised numerous PhD students including Rasmus Dall, Tom Merritt, and Srikanth Ronanki. Current research fellows like Mirjam Wester and Zhizheng Wu contribute to projects such as Natural Speech Technology (NST) and Simple4All .

• General Relativity
• Theoretical Physics
• Black Hole Mechanics
• +۶ مورد دیگر

Harvey Reall is a Professor of Theoretical Physics at the University of Cambridge , affiliated with the Department of Applied Mathematics and Theoretical Physics (DAMTP) and a Fellow of Trinity College . His research focuses on General Relativity and Effective Field Theory , particularly in the context of black hole mechanics , higher-dimensional gravity , and cosmic censorship . He has held prestigious positions including a Royal Society University Research Fellowship from 2005 to 2013. Education: PhD from DAMTP, University of Cambridge. Previous Appointments: Lecturer at the University of Nottingham (2005-2007); Postdoctoral positions at the Kavli Institute (2003-2005), Queen Mary University of London (2000-2003), and University of California, Santa Barbara (2003-2005). Reall's work explores the uniqueness and stability of black holes , causality in gravitational theories , and effective field theory approaches to gravity . His recent publications address nonperturbative second law formulations , event horizon dynamics , and axisymmetry theorems in extended theories of gravity. He has supervised numerous researchers including Aidan McSharry (2025-) , Maxime Gadioux (2022-) , and Iain Davies (2020-24) , contributing to the training of the next generation of physicists. Scientific Awards: Royal Society University Research Fellow (2005-2013)

Alexis Battleمشاهده پروفایل

دانشیار

• Genomics
• Machine Learning
• Computational Biology
• +۳ مورد دیگر

Alexis Battle is an Associate Professor at Johns Hopkins University with appointments in Biomedical Engineering , Computer Science , and Genetic Medicine (secondary). She directs the Malone Center for Engineering in Healthcare and serves as Deputy Director of the Data Science and AI Institute . Educated at Stanford University (PhD in Computer Science, 2013), Battle transitioned to academia after leadership roles at Google. Research Focus: Battle’s work bridges genomics and machine learning , emphasizing the impact of genetic variation on human health. Her lab develops tools like Watershed to predict functional effects of rare variants, aiming to enhance rare disease diagnosis. Key themes include non-coding DNA analysis , personalized genomics , and systems biology , with applications in cardiovascular disease and neurodegenerative disorders . Publications & Awards: Over 60 peer-reviewed articles in journals like Nature , Science , and Genome Biology , with recent emphasis on single-cell transcriptomics , multiomics integration , and telomere biology . Recipient of the President’s Frontier Award (2022), Microsoft Investigator Fellowship (2019), and Searle Scholar (2016). Scientific Awards: 2022 President’s Frontier Award 2019 Microsoft Investigator Fellowship 2019 Johns Hopkins Discovery Award 2017 Johns Hopkins Catalyst Award 2016 Searle Scholar Advising & Funding: Mentors 11 PhD students, 3 undergraduates, and postdoctoral fellows. Her research is funded by NIH, Searle Scholars, and institutional grants. The Battle Lab collaborates on projects like the GTEx Consortium , focusing on gene regulation and clinical genomics .

• Computer Vision
• Computer Graphics
• Machine Learning
• +۴ مورد دیگر

Prof. Matthias Nießner is a Professor at the Technical University of Munich , where he leads the Visual Computing Lab . Prior to this, he held a Visiting Assistant Professor position at Stanford University . His work bridges computer vision , graphics , and machine learning , focusing on 3D reconstruction , semantic scene understanding , and AI-driven video synthesis . Prof. Nießner has published over 150 works in top venues like SIGGRAPH , CVPR , and ECCV , with several receiving best paper awards (SIGCHI’14, HPG’15, SPG’18, SIGGRAPH’16 Emerging Tech). His research has garnered international media attention, including features in the New York Times , Wall Street Journal , and MIT Technological Review , as well as TV demonstrations (e.g., Jimmy Kimmel Live for Face2Face technology). Awards : TUM-IAS Rudolph Moessbauer Fellowship (2017–ongoing) Google Faculty Award (2017) Nvidia Professor Partnership Award (2018) ERC Starting Grant (2018, €1.5M) Eurographics Young Researcher Award (2019) Research Trends : 3D Gaussian Splatting for real-time rendering Neural Radiance Fields (NeRF) with mesh supervision Audio-driven facial animation via diffusion models Latent space diffusion for 3D scenes Self-supervised and zero-shot methods for 3D and image analysis As a co-founder and director of Synthesia Inc. , he drives democratization of synthetic media. His YouTube channel has over 5 million views, reflecting his impact beyond academia.

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.

Edward H. Adelsonمشاهده پروفایل

استاد

• Computer Vision
• Artificial Touch Sensing
• Neuroscience of Vision
• +۴ مورد دیگر

Edward H. Adelson is the John and Dorothy Wilson Professor of Vision Science at MIT, affiliated with the Department of Brain and Cognitive Sciences and the Computer Science and Artificial Intelligence Laboratory (CSAIL). His research spans computer vision, human vision science, and robotics, with a focus on artificial touch sensing and tactile robotics. He has pioneered technologies like the GelSight tactile sensor, enabling high-resolution touch sensing for robots surpassing human skin sensitivity. Adelson holds a PhD in Experimental Psychology from the University of Michigan (1979) and a BA in Physics and Philosophy from Yale University (1974). His career includes roles at MIT since 1987, progressing from Associate Professor to Professor and later the Wilson Chair. He contributed to early vision theories, including the plenoptic function and motion energy models, and has been recognized with prestigious awards like the Helmholtz Prize (2013) and Rank Prize (1992). His research interests include material perception, optical sensing, and the integration of vision and touch. Key innovations include the plenoptic camera, layered representation techniques for motion analysis, and tactile sensors for robotics. Adelson has authored over 300 publications and holds numerous patents in imaging, vision, and robotics. Awards and honors include membership in the National Academy of Sciences and the American Academy of Arts and Sciences. His work bridges neuroscience and engineering, advancing both fundamental understanding and practical applications in robotics and computer vision.

Dorit Abuschمشاهده پروفایل

استاد

• Semantics
• Pragmatics
• Visual Narratives
• +۵ مورد دیگر

Professor Dorit Abusch is a faculty member in the Department of Linguistics and Philosophy at Cornell University's College of Arts & Sciences. Her research focuses on semantics, pragmatics, and their applications to visual narratives. She explores topics like tense semantics, presupposition triggering, modal logic, and the interplay between language and visual media. Current work extends linguistic methodologies to analyze art forms such as comics, cave paintings, and temple sculptures. Her research interests include formal semantics applied to visual narratives, dynamic semantics, possible world theory, and multimodal discourse representation. She investigates how visual elements like sequential art and pictorial sequences convey temporal progression, aspectual distinctions, and free perception constructions through semiotic frameworks. Recent presentations include talks on applying semantics to film and picturebooks at institutions like MIT and the University of Padua. Her publications emphasize cross-media analysis, with key works published in Linguistics & Philosophy and Sinn und Bedeutung . Abusch has received grants for projects studying visual narratives in Indian art and wall paintings of Rajasthan. These include a 2012-2013 Humanities Research Grant and a Cornell Institute for Social Sciences award. Her work bridges linguistics with philosophy and visual studies, offering innovative frameworks for understanding non-linguistic communication through formal semantic tools.

Livia Pancottoمشاهده پروفایل

مدرس ارشد

• Empirical Banking
• European Banking
• Banking Regulation and Supervision
• +۵ مورد دیگر

Dr. Livia Pancotto is a Senior Lecturer in Banking at the Department of Accounting and Finance, University of Strathclyde. She serves as Director of the MSc in International Banking and Finance and Deputy Director of the Responsible Business Institute (ReBI). She holds a PhD and MSc from Bangor University and degrees from Sapienza University of Rome. Her research focuses on European banking regulation, financial stability, and gender diversity's impact on climate finance. She chairs the International Accounting & Finance Doctoral Symposium and edits The European Journal of Finance. Awards include the 2014 Best Banking and Finance Master’s dissertation. She leads research on negative interest rates, non-performing loans, and green lending through EU-funded projects. Education: PhD Banking & Finance (Bangor), MSc (Sapienza), BSc (Sapienza) Research explores empirical banking dynamics, regulatory frameworks, and sustainable finance. Key topics include EU banking union evolution, climate change mitigation via gender-diverse bank boards, and market reactions to policy shocks. Recent work analyzes negative interest rate impacts on bank efficiency and Italy's NPL crisis. She has secured £153k in research funding (2023-2025). Grants: Research Excellence Awards (Strathclyde SRSS) Led workshops on Responsible Business and AI, presented at FSB Financial Innovation Network, and peer-reviewed for top journals. Supervises doctoral candidates through IAFDS. Active in editorial and advisory roles enhancing academic rigor in finance disciplines.

Anne BOUTINمشاهده پروفایل

استاد

• Thermodynamics
• Molecular Simulation
• Porous Materials
• +۶ مورد دیگر

Anne BOUTIN is a Research Director at the French National Center for Scientific Research (CNRS) and Professor at the École Normale Supérieure (ENS) in Paris, France. She leads the Department of Chemistry at ENS, focusing on the thermodynamics of confined fluids and molecular simulations of porous materials like metal-organic frameworks (MIL-53, ZIF-8) and zeolites. Education: Habilitation (1999), PhD in Chemical Physics (1992), Graduate of École Normale Supérieure (1992), MSc (1990) – all from University of Paris XI, Orsay. Positions: CNRS Research Fellow (1994–2009, University of Paris XI; 2009–present, ENS), Visiting Scientist at UC Santa Barbara (1999), Postdoctoral at Imperial College London (1993–1994). Research spans thermodynamic modeling of adsorption-induced structural transitions, polarizable force fields for charged materials, fluid dynamics in nanopores, and stability analysis of flexible frameworks. Google Scholar highlights recent work on electrolyte intrusion (2023) and defect impacts in zeolites (2023). Publications emphasize computational approaches to water confinement , gas separation , and material flexibility . Her 41+ peer-reviewed articles reflect expertise in Monte Carlo , molecular dynamics , and force field development . Awards: Nathalie Demassieux PhD Award (1993) CNRS Bronze Medal (1999) Legion of Honor (2017) Teaching: Statistical thermodynamics. Students: Supervised 17 PhD/postdoc directions.

Na Duمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Human Factors in Smart City Technologies
• Human-Centered Computing
• +۴ مورد دیگر

Na Du is an Assistant Professor in the Department of Informatics and Networked Systems at the University of Pittsburgh's School of Computing and Information. She holds a PhD in Industrial & Operations Engineering from the University of Michigan (2021) and a Graduate Certificate in Data Science. Her research focuses on human factors in smart cities, human-centered computing, and user experience design. She is affiliated with the Intelligent Systems Program, Pitt Cyber, and the Center for Governance and Markets. Education: PhD in Industrial & Operations Engineering (University of Michigan, 2021); Undergraduate in Psychology (Zhejiang University). Research emphasizes explainable AI, human-AI teaming, and smart technologies. Recent grants include funding from Honda Research Institute and Pitt Cyber Accelerator for projects on emotions in Human-AI interaction and Metaverse privacy awareness. Her work has been recognized with awards like the HFES Best Paper Award and the IOE Outstanding Student Award. Advising includes PhD students and researchers in human factors and UX design. The HAT Lab under her leadership explores interdisciplinary challenges in human-computer interaction and smart systems.

Changhuei Yangمشاهده پروفایل

استاد

• Biophotonics
• Microscopy
• Computational Imaging
• +۳ مورد دیگر

Changhuei Yang is the Thomas G. Myers Professor of Electrical Engineering, Bioengineering, and Medical Engineering at California Institute of Technology, serving as Executive Officer for Electrical Engineering and Investigator at Heritage Medical Research Institute. He holds a Ph.D. and three master's degrees from MIT, with appointments at Caltech since 2003. Research focuses on: Advanced microscopy techniques including Fourier Ptychography Wavefront shaping for biological tissue imaging Optical phase conjugation for deep-tissue applications Compact medical devices for cerebral monitoring Publications demonstrate leadership in computational imaging, with recent advances in stain-free embryo analysis, portable cerebral blood flow monitors, and high-resolution volumetric imaging techniques using neural representations. Honored as National Academy of Inventors member. Research applications span deep-tissue biochemical imaging, incisionless surgery, and optogenetic activation systems.

• Ancient History
• Classics
• Late Antiquity
• +۷ مورد دیگر

Dr. Fabian Schulz is a Senior Researcher in Ancient History at the University of Tübingen, where he works in the Department of History within the Faculty of Humanities. He leads a prestigious Junior Research Group under the Emmy Noether Programme of the German Research Foundation (DFG), titled 'Power and Influence: Influencing Emperors between Antiquity and the Middle Ages.' His academic profile also includes association with the Collaborative Research Center (SFB) 923 'Threatened Order - Societies under Stress' and active participation in the 'Tübingen Theosophy' research group. Previously, he contributed to the Heidelberg Academy of Sciences and Humanities project on John Malalas' Chronicle and the University of Tübingen's DFG project 'East and West 400-600 AD.' Dr. Schulz earned his PhD in Classics from Freie Universität Berlin (2006-2010), where he also served as a teaching assistant. During his doctoral studies, he was a Pensionnaire étranger at the École Normale Supérieure Paris. Prior to that, he completed an MA equivalent degree in Classics at Freie Universität Berlin, with time spent as a visiting student at the University of Oxford (1999-2005). His early career included teaching Latin and Greek at a grammar school in Lübeck (2006). His research specializes in power structures and influence mechanisms in ancient societies, with particular focus on how advisors shaped imperial decisions in Late Antiquity. He has made significant contributions to understanding councils of elders in Archaic Greece (especially the Spartan Gerousie), Byzantine chronography (particularly John Malalas' works), and the complex dynamics between Eastern and Western Roman empires during the 5th and 6th centuries. His methodological innovation lies in applying modern sociological models of interpersonal influence to historical analysis of ancient political culture, bridging literary representation with political reality in pre-modern monarchical states. Young researchers award for 'Ratgeber, Experten, Manipulatoren: Einfluss als Machtfaktor und Diskursobjekt in der Antike' As principal investigator of his Emmy Noether project, Dr. Schulz has secured substantial research funding from the German Research Foundation. His collaborative work includes multiple edited volumes on Late Antique history and Byzantine chronography, reflecting his strong international scholarly network. He currently serves as a deputizing member (non-professorial academic staff) on the faculty board of Humanities at the University of Tübingen. His research often intersects with contemporary concerns about power dynamics, political influence, and historical memory, as evidenced by his work on video game representations of ancient history. Dr. Schulz is an active contributor to the online commentary project on John Malalas' chronicle, specifically editing sections of Book XVIII. His work frequently involves detailed textual criticism and analysis of historical sources, with particular attention to how narratives are transmitted and reinterpreted across different cultural contexts. His scholarly approach combines philological precision with broader historical and sociological perspectives.

Shu Yangمشاهده پروفایل

دانشیار

• Causal inference
• Missing data analysis
• High-dimensional statistics
• +۵ مورد دیگر

Shu Yang is an Associate Professor of Statistics at North Carolina State University (NC State), specializing in causal inference, missing data analysis, and biostatistics. She holds a Ph.D. in Applied Mathematics and Statistics from Iowa State University and has held roles including Postdoctoral Fellow at Harvard University and Assistant Professor at NC State. Her research focuses on developing statistical methods for observational and clinical studies, particularly in healthcare and environmental applications. Education: Ph.D. in Applied Mathematics and Statistics from Iowa State University (2014) B.Sc. in Mathematics and Applied Mathematics from Beijing Normal University (2009) Research Interests: Dr. Yang’s work addresses challenges in causal inference, including longitudinal data analysis, missing data imputation, and high-dimensional statistics. She applies these methods to environmental health, cardiovascular diseases, HIV infection, and cancer research. Her team also explores spatial statistics and data integration techniques. Awards: 2025: Think, Collaborate & Do Ideation Award 2024: COPSS Emerging Leader Award, Cavell Brownie Mentoring Award 2022: University Faculty Scholar 2018: Ralph E. Powe Junior Faculty Enhancement Award Grants & Advising: She leads funded projects on causal inference methods in environmental health, sepsis detection, and marine protected areas. She advises over 20 Ph.D. students and postdocs, focusing on causal methods, data integration, and healthcare analytics.