جست‌وجوی استاد و پژوهشگر

Jack Doernerمشاهده پروفایل

استادیار

• Theoretical and Applied Cryptography
• Multiparty Computation
• Threshold Signatures
• +۷ مورد دیگر

Jack Doerner is an Assistant Professor in the Department of Computer Science at the University of Virginia, within the School of Engineering and Applied Science. He earned his Ph.D. in Computer Science from Northeastern University in 2022 and holds B.S. and B.A. degrees in Computer Science and Studio Art from the University of Virginia (2015). His research focuses on the theoretical and applied aspects of cryptography, with core interests in secure multiparty computation (MPC), threshold signatures, zero-knowledge proofs, and oblivious RAM. His work aims to design efficient, secure, and practical cryptographic protocols, particularly for applications in cryptocurrency and secure computation. His most influential work is a series of highly efficient threshold ECDSA protocols, developed with collaborators like abhi shelat and Yashvanth Kondi. These protocols are secure under standard cryptographic assumptions and have achieved remarkable performance, being implemented by major companies like Coinbase, Visa, and Web3Auth. His research also includes significant contributions to MPC with identifiable abort, coin tossing extension, and the foundational theory of ideal signature functionalities. Best Paper Award, ACM CCS 2017 He has advised research and collaborated extensively, leading to numerous publications in top venues like IEEE S&P, ACM CCS, Eurocrypt, and Crypto. His work often bridges theory and practice, resulting in open-source implementations and widespread adoption. He has no known lab or team name mentioned, but his research is conducted within the broader context of the University of Virginia's computer science research community.

Struan F.A. Grantمشاهده پروفایل

استاد

• Human Genetics
• Pediatric Genomics
• Endocrinology
• +۵ مورد دیگر

Struan F.A. Grant is a distinguished Professor of Pediatrics (Human Genetics) at the University of Pennsylvania and a Professor of Genetics at the Perelman School of Medicine. He holds the Daniel B. Burke Endowed Chair for Diabetes Research and serves as Director of the Center for Spatial and Functional Genomics at Children's Hospital of Philadelphia (CHOP). His work bridges human genetics with pediatric disease genomics, focusing on obesity, diabetes, and bone disorders. Current affiliations: UPenn, CHOP Graduate group affiliations: Cell and Molecular Biology, Genomics and Computational Biology Research Focus : With over 25 years of experience, Grant's career highlights include discovering the COL1A1 polymorphic Sp1 site linked to osteoporosis and the TCF7L2 gene's role in type 2 diabetes. His current work leverages high-throughput genomics and bioinformatics to unravel pediatric disease mechanisms, particularly in obesity and metabolic disorders where genetic factors are more discernible due to limited environmental exposure. Scientific Awards : Wellcome Postdoctoral Fellowship Daniel B. Burke Endowed Chair for Diabetes Research Advising & Funding : Mentored numerous trainees including Max F. Dudek and Elizabeth A. Burton. Active funding includes grants from NIH (R01 HD056465, R01 HD100406, R01 AG072705, UM1 DK126194) and co-investigator roles in R01 NS135075, R01 AI154773, and P01 HL160471.

• Chronic Pain Management
• Fibromyalgia
• Opioid Analgesia
• +۲ مورد دیگر

Yoram Shir, MD is a Professor in the Department of Anesthesia at McGill University's Faculty of Medicine and Health Sciences. He serves as an Associate Researcher at the Research Institute of the McGill University Health Centre (IR-MUHC) at the Montreal General Hospital site, where he is affiliated with the Program in Brain Repair and Integrative Neuroscience. His clinical work is situated within the Department of Anesthesia, Division of Adult Cardiac Surgery at the MUHC. Dr. Shir's research focuses on improving therapeutic outcomes for patients with chronic pain, encompassing both cancer-related and non-cancer-related conditions. His work spans several key areas including opioid analgesia mechanisms, the analgesic potential of dietary components, novel diagnostic approaches for low back pain, characterization of fibromyalgia, and development of pain registries to predict treatment outcomes. His recent publications indicate a growing interest in the relationship between gut microbiome and pain conditions, particularly fibromyalgia. Analysis of Dr. Shir's publication record reveals consistent scholarly contributions primarily in pain medicine and rheumatology, with notable emphasis on fibromyalgia research. His work frequently appears in high-impact journals such as Neuron, Anesthesiology, and The Journal of Rheumatology. A significant portion of his research involves collaboration with Dr. Mary-Ann Fitzcharles, with whom he has co-authored multiple publications and contributed to the 2012 Canadian Guidelines for fibromyalgia diagnosis and management. Dr. Shir's work demonstrates interdisciplinary reach, connecting anesthesia, rheumatology, neurology, and gastroenterology through the common thread of pain mechanisms and management strategies. His recent 2025 publications on gut microbiota and pain suggest an evolving research trajectory incorporating novel biological pathways in chronic pain conditions.

George Slotaمشاهده پروفایل

دانشیار

• Graph Mining
• Network Analysis
• Big Data Analytics
• +۵ مورد دیگر

George Slota serves as an Associate Professor in the Computer Science Department within the School of Science at Rensselaer Polytechnic Institute (RPI). Previously, he held positions as a Computer Scientist at Sandia National Labs New Mexico and as a Computer Engineer at the Naval Undersea Warfare Center. His research spans graph and network mining, big data analytics, machine learning, bioinformatics , and their intersections with parallel computing, scientific computing, and high performance computing . His work focuses on scalable algorithms for trillion-edge graphs, graph partitioning, community detection, and GPU-accelerated graph processing. His recent publications reveal strong emphasis on graph coarsening and spectral methods distributed graph algorithms for biconnectivity and coloring random graph generation and validation GPU acceleration for graph neural networks His research has been recognized with a prestigious NSF CAREER award supporting his project "Scalable Graph Processing to a Quadrillion Edges and Beyond." Award: National Science Foundation Faculty Early Career Development (CAREER) Award His work demonstrates consistent funding and collaboration with major national laboratories including Sandia National Labs and involvement in ExaGraph projects targeting exascale computing challenges. He maintains an active research group focused on extreme-scale graph analytics.

William Brownمشاهده پروفایل

دانشیار مدعو

• Biomedical Informatics
• HIV Clinical and Behavioral Research
• Health Disparities
• +۱۲ مورد دیگر

William Brown is an Associate Adjunct Professor in the Department of Medicine at the University of California, San Francisco (UCSF), School of Medicine. He is affiliated with multiple research centers, including the Center for AIDS Prevention Studies, the Division of Prevention Science, and the Bakar Computational Health Science Institute. His work bridges biomedical informatics and HIV clinical and behavioral research, with a strong emphasis on health equity and community engagement. His research interests include: Biomedical Informatics and Clinical Research Informatics mHealth and New Media for HIV prevention and treatment Semantic Harmonization and Data Integration Community-Based Participatory Research (CBPR) Social Determinants of Health and Health Disparities Natural Language Processing in EHRs His recent publications (2020–2025) reflect a consistent focus on leveraging digital health tools—particularly SMS, telehealth, and secure messaging—to improve chronic disease management, HIV prevention, and health equity in underserved populations. He frequently employs mixed-methods approaches and is deeply involved in the design and evaluation of patient-centered technologies. His scientific awards include: AMIA Annual Symposium Paper Competition (2nd Place, 2016) NIMH Loan Repayment Program Award (2012, renewed 2015) Academic Grant Award, Russell M. Grossman Endowment (2010) Kaiser Foundation Academic Grant Award (2009) Brown has been a Principal Investigator on NIH-funded studies related to opioid use disorder risk assessment using NLP, HIV self-testing, and secure messaging in diabetes care. He has also served as Co-Investigator on major grants focused on chronic disease disparities and learning health systems. His research often involves collaboration with community organizations and vulnerable populations, including African American, Latino, and LGBT communities. He leads the CODE Lab (Clinical and Observational Data Excellence) and has contributed significantly to the development of tools for data visualization, semantic harmonization, and patient engagement in research.

• Cardiovascular Genomics
• Pharmacogenomics
• Metabolomics
• +۳ مورد دیگر

Prof. Sandosh Padmanabhan is the Pontecorvo Chair of Pharmacogenomics at the University of Glasgow's College of Medical, Veterinary and Life Sciences, leading the Institute of Cardiovascular & Medical Sciences. He holds a MD and PhD in Medicine from JIPMER, India, and has been recognized with awards like the Bellahouston Medal and Austin Doyle Award. His research focuses on hypertension genomics, integrating epidemiology and omics technologies to dissect cardiovascular drug responses. He leads the AIM HY consortium, discovering ancestry/metabolomic markers for antihypertensive efficacy, and co-leads functional studies on the hypertension gene UMOD. He chairs the British Hypertension Society's education committee and serves on editorial boards of Hypertension and Journal of Hypertension . Education: MBBS and MD (General Medicine, JIPMER, 1995), PhD (University of Glasgow, 2003) Research Themes: Cardiovascular Data Science, Pharmacogenomics, GWAS, Omics Integration Recent work includes the LOCHINVAR study on post-COVID vascular effects, genotype-blinded drug trials (e.g., torasemide), and machine learning for blood pressure classification. His lab collaborates with institutions like the Broad Institute and Generation Scotland. He has published over 280 articles, with pivotal contributions to hypertension genetics and precision medicine.

Marienke van Middelkoopمشاهده پروفایل

دانشیار

• Osteoarthritis
• Knee Osteoarthritis
• Musculoskeletal Disorders
• +۱۰ مورد دیگر

Marienke van Middelkoop is an Associate Professor in the Department of General Practice at Erasmus MC, a leading academic medical center in the Netherlands. Her work bridges primary care, musculoskeletal medicine, and clinical research, with a strong focus on evidence-based approaches to common conditions. Her research interests center on osteoarthritis , particularly knee and patellofemoral forms, plantar heel pain , and running-related injuries . She actively contributes to the development of clinical guidelines through large-scale collaborations and consensus initiatives. Her methodological expertise includes randomized controlled trials , systematic reviews , and meta-analyses , often applied to evaluate non-surgical interventions and preventive strategies in primary care settings. The analysis of her recent publications reveals a consistent trajectory in improving diagnosis, management, and prevention of musculoskeletal disorders. Her work spans adult and pediatric populations, integrating imaging (e.g., MRI) with clinical outcomes. Notably, her research has influenced policy and clinical practice, as evidenced by citations in clinical guidelines and policy documents. International Patellofemoral Osteoarthritis Consortium consensus statement (2018) SPRINT study on online injury prevention in runners (2022) STAP study on custom insoles for heel pain (2021) Research on spinal abnormalities in children using MRI (2021) She has supervised at least 12 academic works, indicating an active role in mentoring the next generation of researchers. Her publications have been widely disseminated, picked up by over 25 news outlets, referenced in policy and clinical guideline sources, and shared across social media platforms. Dr. van Middelkoop collaborates extensively with national and international researchers, particularly in the fields of rheumatology and sports medicine. Her network includes experts from Australia, the UK, and across Europe, reflecting the global relevance of her work.

• Quantum algorithms
• Quantum computational complexity
• Classical information theory
• +۳ مورد دیگر

Penghui Yao is a Professor in the Department of Computer Science and Technology at Nanjing University, where he is a member of the CS Theory group. His academic career spans prestigious institutions including the Centre for Quantum Technologies at National University of Singapore, Centrum Wiskunde Informatica (CWI), Institute for Quantum Computing (IQC) at University of Waterloo, and Joint Center for Quantum Information and Computer Science (QuICS) at University of Maryland. Education: BSc in Mathematics from East China Normal University PhD from Centre for Quantum Technologies, National University of Singapore (supervised by Rahul Jain and Miklos Santha) Professor Yao's research focuses on quantum computing and theoretical computer science, with particular expertise in quantum algorithms and computational complexity. His work bridges classical and quantum information theory, with significant contributions to analysis of Boolean functions and their quantum applications. He has developed novel approaches to communication complexity problems in both classical and quantum settings, advancing our understanding of the fundamental limits of computation. His recent publications reveal a strong trend toward practical quantum algorithms with applications in distributed systems, quantum simulation, and quantum cryptography. The breadth of his work spans from theoretical foundations of quantum complexity classes to experimental implementations of quantum processes, demonstrating both depth in theoretical understanding and relevance to practical quantum computing challenges. Professor Yao actively mentors the next generation of quantum computing researchers, supervising multiple PhD and Master's students at Nanjing University while maintaining collaborations with international research groups. His service to the community includes program committee roles for major quantum computing conferences including QIP and TQC.

Michael Raskinمشاهده پروفایل

مدرس

• Theoretical Computer Science
• Distributed Systems
• Algorithms
• +۶ مورد دیگر

Michael Raskin is a Lecturer (maître de conferences) at LaBRI, University of Bordeaux, where he conducts research in theoretical computer science with a focus on distributed systems and formal methods. His work bridges theoretical foundations with practical implementations, particularly in population protocols, temporal graphs, and Petri nets. His research interests span Theoretical Computer Science , Distributed Systems , Algorithms , and Formal Methods , with specific expertise in population protocols, temporal graph analysis, vector addition systems, and verification techniques for parameterized systems. His publications demonstrate a consistent focus on computational complexity, state complexity, and threshold phenomena in distributed models. Recent publication trends show a strong emphasis on temporal graph theory (with multiple papers on random temporal graphs and giant components), population protocol analysis (including modular protocols and leaderless rendez-vous systems), and verification techniques for parameterized systems. His work often combines mathematical rigor with practical implementation insights. Raskin has developed significant software projects including: Agnostic Lizard - A portable code walker for Common Lisp QueryFS - A filesystem defined through compiled queries His technical contributions span both theoretical advances and practical systems implementation, with a recurring theme of applying programming language techniques to systems problems. His work on Common Lisp tools demonstrates a commitment to practical language implementation alongside theoretical research.

• Financial Mathematics
• Financial Engineering
• Computational Finance
• +۵ مورد دیگر

Dr. ir. Lech Grzelak is an Associate Professor at the Mathematical Institute within Utrecht University's Faculty of Science. His research focuses on Financial Mathematics, Computational Finance, and Quantitative Finance, with a strong emphasis on Stochastic Differential Equations (SDEs), Volatility Modeling, and Hybrid Derivatives. University : Utrecht University Academic Rank : Associate Professor Department : Mathematical Institute Grzelak's work spans Stochastic Volatility Models , Local Volatility Models , and Valuation Adjustments (xVA) . He has developed innovative methods like the Seven-League Scheme for large time-step Monte Carlo simulations and Stochastic Collocation techniques for efficient sampling. Recent research trends include: Integration of Deep Learning with Monte Carlo for SDE simulation (GANs-based approaches) Hybrid models combining Stochastic Volatility and Stochastic Interest Rates Collateral Choice Options and Wrong-Way Risk modeling Applications in VIX Options , Basket Options , and Commodity Derivatives He is an associate editor for the Journal of Computational Finance and Journal of Applied Mathematics and Computation . Grzelak also provides free educational content through his ComputationsInFinance YouTube channel and offers a Computational Finance Course online.

• Simulation
• Queueing Theory
• Air Transportation
• +۵ مورد دیگر

John F. Shortle is a Professor and Chair of the Systems Engineering and Operations Research Department at George Mason University's Volgenau School of Engineering. He has been an active member of the Center for Air Transportation Systems Research (CATSR) since its inception in 2003 and has held numerous leadership roles including President of the INFORMS Simulation Society (2016-2018), President of the Association of Chairs of Operations Research Departments (2022-2023), and Program Chair of the Winter Simulation Conference (2023). Dr. Shortle's research focuses on applying deep mathematical creativity to solve applied problems of societal significance, particularly in understanding how randomness and uncertainty impact system behavior and design. His specific research interests include simulation, queueing theory, air transportation, aviation safety, power systems, and telecommunications. Many of his current projects are funded by the FAA and NASA to enhance the safety of future air transportation systems. His publication record demonstrates a strong trajectory toward increasingly sophisticated applications of queueing theory and simulation to aviation safety challenges. Recent work has incorporated machine learning techniques like variational autoencoders for synthetic flight track generation, dynamic event trees for collision risk assessment, and frameworks for uncertainty analysis in safety models. His research bridges theoretical mathematics with practical applications in critical infrastructure systems. Military Operations Research Journal Award (2016) for 'Spatial and Temporal Modeling of IED Emplacements against Dismounted Patrols' Outstanding Teacher, Volgenau School of Information Technology (2005-2006) Daniel H. Wagner Prize for Excellence in Operations Research Practice (2000) Ralph E. Powe Junior Faculty Enhancement Award (2001) Dr. Shortle has secured significant research funding from federal agencies including the Federal Aviation Administration (FAA), NASA, and the US Department of Energy. His editorial service includes associate editor roles for Aerospace (2022-present), IEEE Transactions on Reliability (2010-2016), and Journal of Probability and Statistical Science (2003-2011). As co-author of the widely used textbook 'Fundamentals of Queueing Theory' (5th edition, 2018), he has made substantial contributions to the education of operations research professionals worldwide. He leads research activities through the Center for Air Transportation Systems Research, where his team develops advanced simulation frameworks for aviation safety analysis, including collision risk models, event tree analysis, and wake vortex safety assessment. His work on the Integrated Safety Assessment Model has been particularly influential in advancing aviation safety practices.

• Molecular Psychiatry
• Psychiatric Genetics
• Genetic Epidemiology
• +۴ مورد دیگر

Professor Sibylle Schwab is a leading academic in molecular psychiatry and psychiatric genetics, holding dual roles as Professor in the School of Medical, Indigenous and Health Sciences and Associate Dean (International) at the University of Wollongong (since 2014 and 2022 respectively). She has over 25 years of academic experience across institutions in Australia and Germany, including prior roles as Professor Molecular Psychiatry at Universität Erlangen-Nürnberg (2010–2014) and Principal Research Fellow at the University of Western Australia (2003–2010). Her research focuses on genetic and epigenetic mechanisms underlying psychiatric disorders, with particular emphasis on schizophrenia, stress-related mental illnesses, and opioid addiction. She has pioneered studies on astrocyte dysfunction in psychiatric disorders and contributed to large-scale genomic consortia analyzing schizophrenia risk variants across global populations. Her work integrates clinical, genetic, and ecological perspectives, including studies on endangered species' microbiomes post-wildfires and invasive species population genetics. Professor Schwab has secured research funding for projects such as a multi-generational study on mental illness resilience in traumatized populations (2019). She supervises PhD candidates investigating topics ranging from greater glider health recovery post-fires to neurobiological mechanisms of psychiatric disorders. Her teaching expertise spans pharmacology, psychiatric genetics, and bioinformatics for genetic data analysis. Her publication record includes over 200 peer-reviewed articles, with recent contributions on Mendelian randomization applications, genetic stratification of psychiatric patient subgroups, and astrocytic glutamate regulation mechanisms. She actively collaborates with international research networks, emphasizing translational research to bridge genetic discoveries with clinical practice.

• Differential Geometry
• Geometric Analysis
• Minimal Surfaces
• +۴ مورد دیگر

Antoine Song is an Assistant Professor of Mathematics at the California Institute of Technology (Caltech). He earned his B.S. (2014) and M.S. (2015) from Pierre and Marie Curie University, followed by a Ph.D. from Princeton University in 2019. Before joining Caltech in 2022, he was a postdoctoral researcher at UC Berkeley and held a Clay Research Fellowship (2019-2024). His office is located in 177 Linde Hall and can be reached at 626-395-4323 or via email at aysong@caltech.edu. Song's research focuses on Differential Geometry and Geometric Analysis , with specific interests in minimal surfaces, harmonic maps, and their connections to representation theory, geometric group theory, and random matrices. His work explores geometric optimization problems, stability phenomena in manifold theory, and probabilistic methods in geometry. His recent publications predominantly investigate minimal hypersurfaces, hyperbolic manifolds, and geometric flows. Common themes include stability analysis in Riemannian geometry, entropy quantification in topological spaces, and variational methods in geometric PDEs. The works frequently bridge geometric analysis with topology and probability theory. Awards and Fellowships: Sloan Research Fellowship Clay Research Fellowship (2019-2024) Song maintains an active research group exploring connections between geometric analysis and other mathematical fields, though no specific students or grants are detailed in available sources.

Rune Munck Aabenhusمشاهده پروفایل

دانشیار

• Antibiotic stewardship
• Primary care
• Epidemiology
• +۴ مورد دیگر

Rune Munck Aabenhus holds dual positions as Associate Professor at the Department of Public Health, Section of General Practice within the Faculty of Health and Medical Sciences at the University of Copenhagen, and as a Postdoc at the Research Unit for General Practice. A licensed medical doctor specializing in general practice (almen medicin), he maintains clinical expertise while conducting research focused on antibiotic consumption in primary care and strategies to reduce inappropriate antibiotic use. His research interests center on: Antibiotic stewardship in primary care settings Biomarkers of inflammation/infection (particularly C-reactive protein) as point-of-care diagnostic tools Register-based epidemiology and systematic reviews International implementation studies across Europe and Central Asia Vulnerable populations including children and elderly patients Recent publications (2023-2025) reveal consistent focus on: Point-of-care testing implementation in resource-limited settings (Kyrgyzstan) Sociodemographic drivers of antibiotic overuse in elderly Danes Optimal treatment duration for common infections like pneumonia Cross-national comparisons of antibiotic prescribing behaviors Methodological innovation in recovery metrics for respiratory infections His influential 2023 Cochrane review on biomarker-guided antibiotic prescription has generated significant policy impact with 73 Scopus citations, 3 policy citations, and Wikipedia references, demonstrating real-world clinical guideline influence. No student advising relationships or specific grant funding details were documented in the source material. His work consistently leverages multi-country collaborations, evidenced by studies across 18 European nations and partnerships in Kyrgyzstan.

Snir Ben Ovadiaمشاهده پروفایل

مدرس ارشد

• Mathematical Physics
• Chaos
• Pseudo-Randomness
• +۷ مورد دیگر

Snir Ben Ovadia is a Senior Lecturer (equivalent to Assistant Professor) at the Einstein Institute of Mathematics, Hebrew University of Jerusalem. He was previously affiliated with Pennsylvania State University as an Assistant Research Professor in the Department of Mathematics. His research focuses on the interplay between mathematical physics, chaotic systems, and dynamical structures. Key interests include non-uniformly hyperbolic dynamics, thermodynamic formalism, entropy theory, and the geometric properties of dynamical systems. His work bridges theoretical mathematics with applications in complex system behavior. Recent publications (2018–2025) demonstrate a consistent focus on hyperbolic dynamics, symbolic representations of chaotic systems, and measure-theoretic approaches to ergodic theory. Common themes include invariant measures, entropy optimization, and geometric properties of Anosov systems.