جستجوی استاد راهنمای دانشگاهی

• First-order modal and superintuitionistic logics
• Algorithmic properties of logics and theories of algebraic structures
• Logics for reasoning about multi-agent systems

Dmitry Shkatov is an Associate Professor at the University of the Witwatersrand, Johannesburg, affiliated with the School of Computer Science and Applied Mathematics. His research primarily explores the intersection of logic, computation, and multi-agent systems, with a focus on algorithmic properties and theoretical foundations. Research Interests: First-order modal and superintuitionistic logics, particularly their decidability, complexity, and semantic frameworks. Algorithmic analysis of logics and algebraic structures, including residuated ordered groupoids and Kripke frames. Applications in multi-agent systems, temporal reasoning, and computational linguistics. His recent publications (2022–2024) demonstrate a consistent focus on computational complexity, completeness theorems, and finite-variable fragments in modal and superintuitionistic logics. Key trends include undecidability proofs, axiomatization studies, and extensions of classical systems like Solovay's system S. This work bridges theoretical computer science and mathematical logic, emphasizing decidability boundaries and efficient model checking.

David Brodyمشاهده پروفایل

استاد

• Drawing
• Painting
• Art Education
• +۱ مورد دیگر

David Brody is a Professor of Painting and Drawing at the University of Washington's School of Art + Art History + Design since 1996. He holds an MFA in Painting from Yale University. His work spans over 100 exhibitions in the US and Europe, with solo shows at Gallery NAGA (Boston), Esther Claypool Gallery (Seattle), and international venues. His art has been featured in Art in America , Artforum , and the Seattle Weekly . Brody has been awarded prestigious honors including the Fulbright Scholarship, Guggenheim Fellowship, and multiple grants from the University of Washington. Research Interests: Brody’s practice explores drawing and painting techniques, emphasizing technical precision, color theory, and spatial dynamics. His work often bridges traditional and contemporary approaches, with a focus on visual storytelling and material innovation. Awards: Fulbright Scholar Guggenheim Fellow Basil H. Alkazzi Award in Painting Royalty Research Fund grants (x2) Milliman Endowment for Faculty Excellence awards (x3) Teaching & Grants: Brody authored and filmed the 36-lecture series How to Draw for The Great Courses. His teaching emphasizes foundational skills and historical context. Grants supported research on drawing techniques and artistic pedagogy. Labs/Teams: Collaborated with institutions like Capital Normal University (Beijing) and China Art Academy (Hangzhou). His art is exhibited through the School’s gallery and international partnerships.

• Midwifery Continuity of Care
• Midwifery Education
• Birth Unit Design
• +۴ مورد دیگر

Professor Nicky Leap is an Adjunct Professor in the School of Nursing and Midwifery at the University of Technology Sydney (UTS) and a Visiting Professor at King's College London. Her career spans over 25 years in midwifery research, education, and clinical practice across Australia and the UK. She has been pivotal in developing national standards for midwifery education in Australia and advancing midwifery continuity of care models, including NSW's first publicly funded homebirth program. Key roles include: Adjunct Professor at UTS Former International Francine Gooris Chair for Midwifery at Arteveldehogeschool, Ghent Visiting Researcher at King's College London since 2005 Education and Research Focus: Dr. Leap holds a Professional Doctorate in Midwifery from UTS, examining midwifery cultural and professional development in Australia. Her research emphasizes: Midwifery continuity of care Birthing environment design Group antenatal care innovations (e.g., Centering Pregnancy) Socioeconomic disparities in maternal healthcare access Grants & Collaborations: Lead investigator on: Australian Research Council-funded birth environment studies UK Department of Health projects on normal birth promotion Telstra Foundation-funded Centering Pregnancy pilot Awards: Member of the Order of Australia (2023) for services to midwifery Labs/Teams: Co-developed the Birth Unit Design Spatial Evaluation Tool (BUDSET) and collaborates internationally on midwifery education reforms.

Gianluca Baioمشاهده پروفایل

استاد

• Health Economics
• Bayesian Statistics
• Causal Inference
• +۵ مورد دیگر

Gianluca Baio is a Professor of Statistics and Health Economics at University College London (UCL), Department of Statistical Science. He holds a PhD in Applied Statistics from the University of Florence and has worked extensively in Bayesian statistical modeling for healthcare applications, including cost-effectiveness analysis and causal inference. His research focuses on hierarchical models, missing data methods, and health economic evaluation, with notable contributions to HPV vaccination cost-effectiveness and policy impact assessments. Education: PhD in Applied Statistics, University of Florence (Italy) Master's in Statistics and Economics, University of Florence Visiting Researcher, MIT Sloan School of Management (USA) Research Interests: Bayesian methods in health economics Missing data imputation in clinical trials Cost-effectiveness analysis Interrupted time series for policy evaluation Value of Information analysis Healthcare resource allocation Key Grants: Wellcome Trust-funded study on Bayesian hierarchical frameworks for policy evaluation (2021–2025) MRC grant on regression discontinuity design for drug evaluation (2013–2015) NIHR grants on stepped-wedge trial methodologies Awards & Recognition: None explicitly listed, but recognized for contributions to Bayesian HTA methodologies. Professional Activities: Lead of UCL's Statistics for Health Economic Evaluation Group Author of R packages BCEA and survHE Editorial board member of Medical Decision Making

Alexander Aminiمشاهده پروفایل

پژوهشگر

• Autonomous Systems
• Machine Learning
• Robotics
• +۹ مورد دیگر

Alexander Amini is a Postdoctoral Researcher at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) , working under the guidance of Prof. Daniela Rus. He earned his PhD (2022), Master of Science (2018), and Bachelor of Science (2017) in Computer Science from MIT, with a minor in Mathematics. Amini co-founded Liquid AI and Themis AI , and serves as a lead organizer and lecturer for MIT's deep learning course 6.S191 . His research focuses on the science and engineering of autonomy , particularly for safe decision-making in uncertain environments. Key contributions include Developing end-to-end control systems for autonomous agents Formulating confidence metrics in neural networks Creating mathematical models for human mobility analysis Innovating inertial refinement systems Amini's publications reveal trends across autonomous vehicle control , robust machine learning , and uncertainty quantification . His work spans continuous-time neural models, sensor optimization for soft robotics, and applications in molecular discovery and financial modeling. Notable collaborations include projects with NVIDIA and Harvard Medical School. Scientific recognition includes 2011 EU Contest for Young Scientists Grand Prize 2011 BT Young Scientist overall winner 2017 NSF Graduate Fellowship 2020 MIT Outstanding Mentor Award 2021 JP Morgan Fellowship As part of MIT's Distributed Robotics Laboratory , Amini works on systems that combine robotics with everyday life applications, supported by grants from FinTech@CSAIL and MachineLearningApplications@CSAIL for bias mitigation in financial and clinical domains.

Haizhao Yangمشاهده پروفایل

دانشیار

• AI for Science
• Machine Learning
• High-Performance Computing
• +۴ مورد دیگر

Haizhao Yang is an Associate Professor of Mathematics and Computer Science at the University of Maryland College Park (UMCP). He holds affiliate appointments in the University of Maryland Institute for Advanced Computer Studies (UMIACS) and the Applied Mathematics and Scientific Computation (AMSC) program. Previously, he served as an Assistant Professor at Purdue University and the National University of Singapore, and as a Visiting Assistant Professor at Duke University (2015–2017). His education includes a B.Sc. from Shanghai Jiao Tong University (2010), M.Sc. from The University of Texas at Austin (2012), and Ph.D. from Stanford University (2015). Yang's research focuses on machine learning theory, scientific computing, and applied mathematics. Key areas include AI for scientific discovery, high-performance computing, and algorithm development for differential equations. His work bridges mathematical rigor with practical applications, such as developing neural network-based solvers for high-dimensional PDEs and quantum computing integration for uncertainty quantification. He leads a dynamic research group with over 30 students and postdocs across PhD, master's, and undergraduate levels. Notable achievements include the NSF CAREER Award (2020), ONR Young Investigator Award (2022), and DARPA Young Faculty Award (2024). His laboratory collaborates with institutions like Lawrence Berkeley National Lab and Duke University, emphasizing interdisciplinary projects in data science and computational physics. Recent publications highlight innovations in operator learning for PDEs, quantum algorithm integration, and adversarial reinforcement learning. His group actively explores AI-driven approaches to overcome computational bottlenecks in scientific simulations, with techniques like the Finite Expression Method and OptimAI framework for automated problem-solving.

Georges Bohasمشاهده پروفایل

استاد

• Arabic Literature
• Linguistics
• Islamic Studies
• +۳ مورد دیگر

Georges Bohas is a Professor of Arabic literature at the École normale supérieure de Lyon (ENS Lyon) and a member of the Institut Universitaire de France. Specializing in Arabic textual editing and translation, he is a leading scholar of Timbuktu manuscripts and the Alexander Romance. His work bridges academic research with public engagement, including co-translating the 'Roman des Baïbars' series and publishing accessible works on Arab popular literature. A Senior Member of the IUF since 2007, he directed the ANR VECMAS project (2009–2012), focusing on Sub-Saharan Arabic manuscripts. His research spans Arabic linguistics, medieval grammatical traditions, and cultural history, with notable contributions to the study of morphological paradigms, phonosemantics, and lexical organization in Semitic languages. Collaborating with institutions like Actes-Sud and the Mamma Haïdara Library, his work preserves and disseminates marginalized texts, such as the Timbuktu manuscripts. His publications blend scholarly rigor with public accessibility, reflecting a commitment to bridging academic and lay audiences. Education: Agrégation diploma in Arabic (France’s highest teaching credential) His research interests focus on Arabic literary and linguistic traditions, including: classical Arabic grammar, manuscript preservation, phonological symbolism, and the intersection of literature and history. Recent work emphasizes submorphemic lexical organization and the interplay between sound and meaning in Semitic languages. Publications highlight his expertise in Arabic metrics, Qur'anic stylistics, and the analysis of medieval grammatical treatises. Key projects include the bilingual edition of Le Roman d’Alexandre à Tombouctou , which recovered a forgotten manuscript from Timbuktu’s legal texts. His work on Bar Hebraeus’ Syriac grammar and Ibn Ǧinnī’s theories underscores his comparative approach to Semitic languages. Awards: Senior IUF Membership (2007) Grants and leadership include managing the ANR VECMAS project, which validated and published critical editions of Sub-Saharan Arabic manuscripts. His collaborations with INSA Lyon advanced digital preservation techniques for fragile manuscripts. Current work continues exploring Timbuktu’s textual heritage and the theoretical foundations of Arabic linguistics. Labs/Teams: Member of the ICAR laboratory (Interdisciplinary Center for Arabic and Islamic Research), ENS Lyon.

Boris Kalininمشاهده پروفایل

استاد

• Dynamical Systems
• Ergodic Theory
• Geometry
• +۳ مورد دیگر

Boris Kalinin is a Professor of Mathematics at The Pennsylvania State University's Department of Mathematics, part of the Eberly College of Science. He holds a Ph.D. (2000) and B.S. (1995) in Mathematics from Penn State and St. Petersburg State University, respectively. His research focuses on Dynamical Systems, Ergodic Theory, and Geometry, with emphasis on rigidity phenomena, hyperbolic systems, and cocycle theory. Notable contributions include work on global rigidity of Anosov actions, smooth conjugacy of toral automorphisms, and non-uniform hyperbolicity. Dr. Kalinin has been awarded multiple grants from the National Science Foundation (2002-2014) and the Simons Foundation (2016-2026). He teaches advanced courses like Concepts of Real Analysis (MATH 312) and has supervised numerous research projects in dynamical systems. His work appears in top journals such as the Annals of Mathematics, Journal of the American Mathematical Society, and Ergodic Theory and Dynamical Systems. Key themes include measure rigidity, cocycle cohomology, and applications of geometric methods to dynamical problems.

Victoria Sadovskayaمشاهده پروفایل

استاد

• Dynamical Systems
• Ergodic Theory
• Smooth Dynamics
• +۵ مورد دیگر

Victoria Sadovskaya is a Professor of Mathematics at the Department of Mathematics, Pennsylvania State University (since 2021), and currently serves as the Associate Head for Administration. She holds a Ph.D. (2000) and B.S. (1995) in Mathematics from Pennsylvania State University and St. Petersburg State University, respectively. Her research focuses on dynamical systems and ergodic theory, particularly smooth dynamics, rigidity of hyperbolic and partially hyperbolic systems, cocycles, and dimension theory. She has held academic positions at the University of South Alabama (2003–2012) and the University of Michigan (2000–2003). Her work has been supported by grants from the National Science Foundation and the Simons Foundation. Notable awards include the 2022 C. I. Noll Award for Excellence in Teaching and the 2017 Donald C. Rung Award. Her research contributions span global rigidity of toral automorphisms, cohomology of cocycles, and invariant metrics. She actively participates in academic service, including roles in curriculum development, honors coordination, and leadership in the Penn State WIM (Women in Mathematics) initiative.

• Precision Medicine
• Functional Data Analysis
• High-Dimensional Regression
• +۵ مورد دیگر

Xinyi Li is an Assistant Professor in the School of Mathematical and Statistical Sciences at Clemson University. She holds a Ph.D. in Statistics from Iowa State University, an M.S. in Statistics from the University of Georgia, and a B.S. in Mathematical Statistics from Beijing Normal University. Prior to joining Clemson, she was a postdoctoral fellow at SAMSI and UNC Chapel Hill. Her research focuses on precision medicine, functional data analysis, high-dimensional regression, spatio-temporal analysis, and reinforcement learning, with applications in statistical genetics, neuroimaging, and public health. She teaches courses in probability theory, data analysis, machine learning, and mathematical statistics. Dr. Li's recent publications demonstrate strong emphasis on machine learning applications in statistical modeling, with innovations in nonparametric regression, dynamic treatment regimes, and high-dimensional data analysis. Her work frequently appears in top-tier journals including the Journal of Machine Learning Research and Journal of the American Statistical Association. National Science Foundation DMS-2210658 (2022-2025) IMS New Researcher Travel Award (2019) ASA GA Chapter Best Student Poster Award (2017) 2nd Place in 2016 Data Mining Cup She maintains active collaborations through affiliations with the Center for Human Genetics and the Institute for Engaged Aging, and serves as an AI advocate for the Clemson-MUSC AI Hub.

• Applied Mathematics
• Economics
• Urban Planning
• +۲ مورد دیگر

Tao Guan serves as a Lecturer in the Department of Mathematical and Statistical Sciences within Clemson University's College of Science. Based in Martin Hall E1B, he teaches undergraduate courses including Business Calculus I, leveraging dual expertise from his interdisciplinary doctoral background. Educational Background: Ph.D, Planning, Design and Built Environment, Clemson University, 2017 Ph.D, Economics, Fudan University, 2005 M.S., Philosophy, Fudan University, 2002 B.A., Education Administration, Henan Normal University, 1999 Research Interests: Dr. Guan's work bridges Applied Mathematics with Economic Theory and Urban Systems Analysis. His dual PhD foundation enables unique approaches to modeling built environments through statistical methods, focusing on practical applications in infrastructure planning and business analytics. This interdisciplinary perspective connects mathematical rigor with socioeconomic dynamics in urban development contexts. Teaching Profile: He specializes in foundational mathematics instruction for business disciplines, emphasizing real-world problem-solving in calculus applications. His courses support Clemson's mission to provide quantitative training for non-STEM majors through accessible pedagogy.

Jinrui Xuمشاهده پروفایل

استادیار

• Computational Biology
• Genome Evolution
• Gene Regulation
• +۳ مورد دیگر

Jinrui Xu is an Assistant Professor in the Department of Biology at Howard University's College of Arts & Sciences. A computational biologist, their research focuses on genome evolution, gene regulation, and cancer genomics. They develop bioinformatics tools to analyze complex biological data, such as GRAM for predicting non-coding variant effects and CytoSVM for cytokine-receptor interactions. Education: PhD in Bioinformatics from the University of Michigan, Ann Arbor (2015). Research interests include evolutionary mechanisms of genetic variation, regulatory networks in cancer, and protein structure analysis. Their work emphasizes functional genomic data interpretation and experimental methodology improvements, such as optimizing ChIP-seq analysis protocols. Key contributions include advancing understanding of pseudogene functionality, protein fold classification, and regulatory element differentiation between wolf/dog populations. Collaborations span institutions like Yale University and the University of Washington, reflecting interdisciplinary research engagement.

Argyris Kalogeratosمشاهده پروفایل

پژوهشگر

• Machine Learning
• Network Science
• Computational Social Systems
• +۲ مورد دیگر

Argyris Kalogeratos is a permanent senior researcher at the Centre Giovanni Borelli , École Normale Supérieure Paris-Saclay (ENS Paris-Saclay), Université Paris-Saclay, France, and a member of the Learning and Information Processing Systems (LIPS) research group. Previously, he was a research scientist at the Centre of Applied Mathematics, ENS Cachan, France (2013–2018). Research Focus: Machine Learning on Graphs Industrial Collaborations: SNCF, CEA, Michelin, RTE, EDF Research Chair: Industrial Data Analytics and Machine Learning (IDAML) His research interests span Machine Learning , Statistics , Network Science , Decision & Control , and Computational Social Systems . He leads the ML on Graphs research theme and participates in projects like the EDF Data Challenge and Île-de-France AI for Industry Challenge . Current PhD advisees include: Alejandro de la Concha Duarte (Statistical Machine Learning on Graphs) Gaëtan Serré (Global Optimization) Gwendal Debaussart (Graph Representation Learning) Eloi Campagne (Time-Series Forecasting for Energy Sector) Gaspard Abel (Machine Learning on Social Interaction Networks) Past funding includes the MORANE project (SNCF collaboration) and the SODATECH project (French government Big Data initiative). He coordinates the LIPS seminars and contributes to academic-industry synergies through projects like AIfluence and French-German Summer-schools .

Sriram Shastryمشاهده پروفایل

استاد

• Strongly Correlated Electron Systems
• Quantum Many-Body Physics
• High-Temperature Superconductivity
• +۷ مورد دیگر

Sriram Shastry is a Distinguished Professor of Physics at the University of California, Santa Cruz, where he has maintained an active research program in theoretical condensed matter physics for many years. His work focuses on developing theoretical frameworks to understand strongly correlated electron systems, with particular emphasis on the Extremely Correlated Fermi Liquid (ECFL) theory. Professor Shastry's research interests center around strongly correlated electron systems, particularly the theoretical description of materials where electron interactions dominate their physical properties. His pioneering work on the Extremely Correlated Fermi Liquid theory provides a framework for understanding anomalous behaviors in high-temperature superconductors, especially through angle-resolved photoemission spectroscopy (ARPES) data. His research spans quantum integrability, thermal transport in correlated matter, frustrated quantum systems in low dimensions (such as two-dimensional antiferromagnets), and the theoretical description of materials like insulating SrCu 2 (BO 3 ) 2 and metallic TmB 4 . His work also addresses fundamental questions about superconductivity and the Hall effect in strongly correlated matter. Analysis of Professor Shastry's recent publications reveals a consistent focus on advancing the ECFL theory and applying it to increasingly complex physical phenomena. His work demonstrates a progression from foundational theoretical developments to concrete applications for understanding experimental observations in cuprate superconductors and other correlated materials. The research shows increasing sophistication in handling multi-dimensional correlated systems and connecting theoretical predictions with experimental measurements. His recent work continues to explore the boundaries of strongly correlated physics, addressing questions about partition function zeros, quantum integrability, and the fundamental nature of electron correlations in condensed matter systems. Professor Shastry has maintained a productive research group with numerous collaborators, including researchers who have co-authored multiple publications with him over extended periods. His work has been supported by various funding sources, though specific grants are not detailed in the available information. The consistent publication record spanning decades demonstrates sustained research activity and intellectual leadership in the field of strongly correlated electron systems. While specific laboratory facilities aren't detailed in the available information, Professor Shastry's development of the DiracQ quantum many-body physics package indicates he maintains computational research capabilities. His theoretical work likely involves significant computational components, particularly in implementing and testing the ECFL formalism for various physical systems. The breadth of his research suggests collaboration with both theoretical and experimental groups working on strongly correlated materials.

Amadeu Delshamsمشاهده پروفایل

استاد

• Dynamical Systems
• Hamiltonian Systems
• Celestial Mechanics
• +۳ مورد دیگر

Amadeu Delshams is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament de Matemàtiques and the Laboratory of Geometry and Dynamical Systems at EPSEB. He holds a Ph.D. from the Universitat de Barcelona (1983) under Carles Simó. His research focuses on Dynamical Systems, particularly Hamiltonian systems, Arnold diffusion, celestial mechanics, and symplectic geometry. He has advised 13 Ph.D. students and authored a textbook on numerical calculus in Catalan/Spanish. Delshams is a member of the UPC Dynamical Systems Group, the UB-UPC Dynamical Systems Group, and the DANCE network. He serves on editorial boards for journals like Journal of Differential Equations and Qualitative Theory of Dynamical Systems. His work includes groundbreaking studies on splitting of separatrices, global instability in celestial mechanics, and geometric mechanisms for diffusion in Hamiltonian systems. Education: Ph.D. in Mathematics, Universitat de Barcelona (1983). Research Interests: Dynamical Systems, Hamiltonian systems, Arnold diffusion, celestial mechanics, symplectic geometry, bifurcation theory, and mathematical physics. Affiliations: Laboratory of Geometry and Dynamical Systems (UPC), IMTech, Árbol de las Matemáticas, and Editorial Boards of multiple journals. Labs/Teams: Leader of the UPC Dynamical Systems Group; collaborates with international networks like DANCE and ICIAM.