جست‌وجوی استاد و پژوهشگر

Angela Yaoمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Angela Yao is a Dean's Chair Associate Professor and Assistant Dean of Research at the National University of Singapore's School of Computing, Department of Computer Science. She leads the Computer Vision and Machine Learning Group and specializes in visual perception of people, focusing on both high-level semantics of human actions and lower-level physical modeling. Her research interests span Computer Vision , Machine Learning , and Artificial Intelligence , with specific expertise in human action recognition, 3D human modeling, video understanding, and small data AI. Dr. Yao's work bridges theoretical advances with practical applications, particularly in activity anticipation and human-computer interaction. Dr. Yao's publication trends reveal a strong focus on zero-shot learning for activity anticipation, 3D human modeling, and techniques for working with limited training data. Her research has evolved from foundational work in 3D pose estimation to more recent innovations in diffusion models and cross-modal learning, demonstrating consistent contributions to advancing computer vision capabilities. NRF Fellowship for Artificial Intelligence (2019) German Pattern Recognition (DAGM) Award (2018) Dr. Yao has successfully mentored PhD students including Fadime Sener and secured significant research funding including the NRF Fellowship. Her research group focuses on developing AI systems capable of understanding and anticipating human activities with applications in robotics and human-computer interaction. She teaches CS4243 Computer Vision and Pattern Recognition and leads the Computer Vision and Machine Learning Group at NUS Computing.

TAN Tiow Sengمشاهده پروفایل

دانشیار

• Computational Geometry
• GPU Computing
• Algorithm Design
• +۲ مورد دیگر

TAN Tiow Seng is an Associate Professor at the School of Computing, National University of Singapore . He holds a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (1993), an M.Sc. in Computer Science from NUS (1988), and a B.Sc. in Mathematics & Computer Science from NUS (1984). Research Interests : Design of geometric algorithms for GPU acceleration Applications in interactive graphics, visualization, and game development Development of robust GPU software for geometric computation Selected Publications demonstrate expertise in Delaunay triangulation, Voronoi diagrams, convex hulls, and GPU-based distance transforms. His team pioneered GPU-accelerated mesh refinement techniques and parallel recurrence optimization. Scientific Awards : NUS/SOC Teaching Excellence Award (1999, 2004, 2022) C. W. Gear Outstanding Graduate Student Award (UIUC, 1992) National University Overseas Graduate Scholarship (1988–1992) Data Processing Managers’ Association Award (1984) Industry Contributions : Holds five US/Singapore patents Chairman/co-founder of G Element Pte Ltd , a graphics/visualization company Served as expert panel member for Media Development Authority (MDA) funding evaluations

Leonie Baumannمشاهده پروفایل

استادیار

• Economic Theory
• Networks
• Mechanism Design
• +۱ مورد دیگر

Dr. Leonie Baumann is an Assistant Professor in the Department of Economics at McGill University, specializing in Economic Theory, Networks, Mechanism Design, and Game Theory. She holds a Ph.D. (summa cum laude) and M.Sc. in Economics from the University of Hamburg, and dual B.A. degrees from the University of Siegen. Currently on maternity leave, Dr. Baumann previously served as a Postdoctoral Research Associate at the University of Cambridge. Her research explores social interactions in microeconomic theory, with a focus on network formation dynamics, strategic evidence disclosure, and robust implementation mechanisms. Recent work examines how network structures influence economic decision-making and resource allocation. Dr. Baumann's publications demonstrate consistent focus on network economics and game-theoretic modeling, with emerging applications in discrimination mechanisms and evidence disclosure. Her methodological approaches combine theoretical rigor with computational innovations. Awards & Recognition: Vice-Chancellor's Innovation Award (2020) Econometric Society Travel Grant (2015) Multiple research grants including SSHRC and FQRSC funding Supervision & Service: Currently advising 4 doctoral students on topics ranging from biosolvent characterization to indoor air quality Active editorial board member for Journal of Mathematical Economics Organizes international conferences on economic theory

Yi-Zhuang Youمشاهده پروفایل

دانشیار

• Condensed Matter Physics
• Quantum Entanglement Dynamics
• Topological Phases
• +۴ مورد دیگر

Yi-Zhuang You is an Associate Professor in the Department of Physics at the University of California, San Diego (UCSD). He holds a Ph.D. from Tsinghua University (2013). His research focuses on theoretical investigations of correlated topological phases, quantum entanglement dynamics, and machine learning applications in many-body systems. Key areas include deconfined quantum criticality, symmetry-protected topological (SPT) phases, and the interplay between topology and quantum matter. His work bridges condensed matter physics and high-energy physics, exploring topics such as topological responses in gauge theories, entanglement holography, and quantum machine learning. Recent studies involve machine learning-driven approaches to quantum state preparation, symmetry discovery, and tomographic reconstruction of quantum systems. His contributions span theoretical frameworks for understanding topological transitions, fractionalization in lattice models, and the role of symmetry in quantum critical phenomena. Notable research highlights include the study of symmetric mass generation as a deconfined quantum criticality mechanism, the application of classical shadow tomography for efficient quantum state estimation, and the development of algorithms for self-similar dynamics modeling. His publications frequently intersect with experimental proposals for observing topological phases in materials like graphene and iridates. Dr. You’s affiliations include the UCSD Physics Department, with collaborations extending to institutions globally. His research is supported by grants focusing on quantum information, topological materials, and machine learning applications in physics. While no specific awards are listed, his work has been widely cited in high-impact journals across condensed matter and theoretical physics.

Christopher Schommer-Priesمشاهده پروفایل

دانشیار

• Topology
• Higher Category Theory
• Quantum Field Theory
• +۳ مورد دیگر

Christopher Schommer-Pries is an Associate Professor in the Department of Mathematics at the University of Notre Dame's College of Science. His research focuses on the intersection of topology, higher category theory, and quantum field theory, with notable contributions to classification of topological field theories and foundational work on higher categories. Education: Ph.D. in Mathematics (2009, UC Berkeley), B.S. in Mathematics (2003, Harvey Mudd College) Career: Taught at Notre Dame since 201?, previously at University of Bonn (2013) Research emphasizes dualizability in higher categories, TFTs' algebraic structures, and categorical unicity theorems. Key publications include foundational papers on tensor categories, invertible TFTs, and bordism classifications. Active in teaching advanced topology courses and mentoring graduate students, though no formal advisees listed here.

Bharath Sriperumbudurمشاهده پروفایل

استاد

• Non-parametric statistics
• Machine learning
• Optimal transport
• +۵ مورد دیگر

Bharath Sriperumbudur is a Professor in the Department of Statistics (with a courtesy appointment in the Department of Mathematics) at the Pennsylvania State University. His research focuses on non-parametric statistics, machine learning, optimal transport, statistical learning theory, regularization and inverse problems, functional and topological data analysis, and reproducing kernel Hilbert spaces. His work is supported by grants such as NSF-DMS-CAREER-1945396 and NSF-DMS-2413425. PhD in Statistics, University of California, San Diego (2010) His research interests span foundational aspects of statistical learning, kernel methods, optimal transport theory, and their applications. Recent work includes advancements in Gromov-Wasserstein geometry, Stein variational methods, and robust topological data analysis. Key contributions include publications on kernel-based quadrature rules, regularization theory, and functional data analysis. His research bridges theoretical statistics, machine learning, and applied mathematics.

Wenyuan Fanمشاهده پروفایل

دانشیار

• Array seismology
• Marine geophysics
• Environmental seismology
• +۴ مورد دیگر

Dr. Wenyuan Fan is an Associate Professor at the Institute of Geophysics and Planetary Physics (IGPP) within the Scripps Institution of Oceanography at UC San Diego. His research focuses on array seismology, marine geophysics, environmental seismology, and earthquake dynamics. He holds a PhD from UC San Diego and degrees from Peking University. Research Interests: Array seismology and waveform modeling Marine geophysics and ocean-solid earth interactions Earthquake source kinematics and dynamic triggering mechanisms Microseismicity imaging and fault zone processes Recent Work Trends: His recent publications emphasize understanding earthquake rupture mechanics through dense array data, exploring submarine landslide dynamics via hydroacoustic signals, and applying machine learning to seismic catalog development. Studies often bridge tectonic processes with environmental factors, such as storm-induced seismicity and human-induced seismic events. Advising & Grants: No students listed; active in NSF-funded projects on fault dynamics and marine geohazards. Labs/Teams: Affiliated with IGPP's Seismology and Geodynamics Group, collaborating with international networks like IRIS and CTBTO.

Christian Ikenmeyerمشاهده پروفایل

استاد

• Computational Complexity
• Algebraic Combinatorics
• Geometric Complexity Theory
• +۲ مورد دیگر

Christian Ikenmeyer is Professor in Computer Science and Mathematics at the University of Warwick. His research focuses on algebraic complexity theory, geometric complexity theory (GCT), and representation theory, with emphasis on tensor rank, Kronecker coefficients, and polynomial identity testing. Research Focus: Dr. Ikenmeyer develops mathematical frameworks to solve fundamental problems in computational complexity, including P vs NP. His work connects representation theory with algebraic geometry to establish complexity lower bounds and classify computational hardness. Leadership: He organizes workshops on algebraic complexity and GCT, including the 2023 Algebraic Complexity Theory Workshop at ICALP. His research is funded by EPSRC and DFG grants, supporting investigations into homogeneous complexity and branching programs. Teaching: Courses include 'Groups and Representations' and programming contest coaching. He has previously taught at MIT, Texas A&M, and Saarland University, developing lecture notes on GCT.

Jaakko Timo Henrik Järviمشاهده پروفایل

استاد

• Generic Programming
• Programming Language Design
• Graphical User Interfaces (GUI)
• +۷ مورد دیگر

Jaakko Timo Henrik Järvi is a Professor in the Department of Informatics at the University of Bergen, Norway, with additional affiliations at the University of Turku, Finland. His research focuses on programming language design, generic programming, and human-computer interaction, particularly in GUI frameworks and software reuse. His research interests include generic programming, programming language design (especially the Magnolia language), high-performance computing, array programming, and GUI engineering. He emphasizes formal methods and algebraic specifications to build reusable and efficient software systems. His work bridges theoretical foundations with practical applications in software development and education. The recent publications highlight a strong trend in declarative GUI frameworks, multi-selection models, and generic programming. His work explores domain-specific languages for GUI structure manipulation, reusable selection semantics across platforms, and optimizing array computations using the Mathematics of Arrays. These efforts reflect a consistent focus on software abstraction, correctness, and reusability. Jaakko Järvi has supervised doctoral students, including Tetiana Yarygina, whose dissertation explored microservice security. While no specific grants are detailed, his work on VisAST was supported by the Research Council of Norway (Project 250683), indicating active external funding. He frequently collaborates with researchers like Magne Haveraaen, Knut Anders Stokke, and Sean Parent. He contributes to tools and frameworks such as the MultiselectJS library and the VisAST educational tool. These are outcomes of collaborative research teams focused on improving software development practices and computer science education.

• Geometry and Topology
• Singularity Theory
• Differential Geometry
• +۷ مورد دیگر

Raul Adrian Oset Sinha is an Associate Professor in the Department of Mathematics at the Faculty of Mathematics, University of Valencia, Spain. His research is centered on singularity theory, differential geometry, and topology, particularly focusing on stable maps, geometric invariants, and the geometry of singular surfaces. His work lies at the intersection of Geometry and Topology , Singularity Theory , and Global Analysis . He investigates the geometric structure of mappings from manifolds, especially in low dimensions, analyzing projections, curvature properties, and topological invariants of singular images. The trends in his publications reveal a consistent focus on stable mappings , projections of surfaces , and classification of singularities . His recent work explores axial curvature, frontal surfaces, and augmentations, contributing to the understanding of geometric behavior in higher codimensions and corank-one settings. He is a member of the research group GEOSING: Singularities, Generic Geometry and Applications , collaborating with leading experts such as M. A. S. Ruas, F. Tari, and K. Saji. His publications appear in journals like Mathematische Annalen , Advances in Geometry , and Journal of Singularities . Oset Sinha earned his PhD from the University of Valencia in 2009 under the supervision of Dr. Maria del Carmen Romero Fuster. His thesis, Topological invariants of stable maps from 3-manifolds to three-space , laid the foundation for his ongoing research in singularity theory. He has advised students and supervised research, though specific names are not listed. He actively collaborates internationally and contributes to the academic community through peer reviewing and editorial work.

• Stochastic Analysis
• Constructive Quantum Field Theory
• Statistical Mechanics of Multiscale Systems
• +۹ مورد دیگر

Professor Massimiliano Gubinelli is the Wallis Professor of Mathematics at the University of Oxford and a Professorial Fellow at St. Anne's College. He leads the Stochastic Analysis Group within the Mathematical Institute, where his research focuses on stochastic analysis, constructive quantum field theory, and the intersection of probability theory with partial differential equations (PDEs) and renormalization group methods. His work spans statistical mechanics of multiscale systems, analysis of PDEs with random terms, homogenisation theory, mathematical quantum mechanics, path-integral formalisms, and non-commutative probability/geometry. He has pioneered paracontrolled distribution techniques to study singular stochastic PDEs and explored rough paths in ramification and transport equations. Recent publications highlight advancements in the sine-Gordon model via stochastic quantization, nonlinear PDEs with modulated dispersion, and ρ-irregularity in stochastic systems. His research bridges stochastic analysis, quantum field theory, and PDEs, emphasizing pathwise behavior and renormalization. Scientific Awards Junior member of the Institut Universitaire de France (2013–2018) Invited session speaker at the 2018 International Congress of Mathematicians (ICM) in Rio He contributes to scientific software development as a lead developer of TeXmacs , an open-source platform for technical documents, and teaches courses such as C8.1 Stochastic Differential Equations (MT22). No formal student advisement or grant details are provided.

• Signal processing
• Fault detection and diagnosis
• Rotordynamics
• +۷ مورد دیگر

Konstantinos Gryllias is a Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Sciences. He leads research in the Mechatronic System Dynamics (LMSD) unit at the Arenberg campus. His academic affiliations extend across multiple KU Leuven institutes including Leuven.AI, Leuven.AM (Additive Manufacturing), and the Gravitation Institute. He serves on important governance bodies as a member of the Faculty Council of Engineering Sciences, Faculty Doctoral Committee of Engineering Sciences, and Departmental Council of Mechanical Engineering. Dr. Gryllias specializes in signal processing, fault detection and diagnosis of rotating machinery, condition monitoring, and machine learning applications in structural health monitoring. His research spans linear and nonlinear vibrations, anomaly detection, rotordynamics, and pattern recognition. His work bridges theoretical signal processing with practical engineering applications in wind turbines, marine propulsion systems, and industrial machinery. His recent publications demonstrate strong focus on deep learning approaches for wind turbine anomaly detection, bearing diagnostics, stern bearing lubrication optimization, and structural health monitoring using advanced signal processing techniques. The research shows increasing integration of explainable AI methods with traditional vibration analysis. Dr. Gryllias teaches advanced courses including Monitoring & Prognostics, Structural Dynamics, Smart Sensing Technologies, and Applied AI perspectives. His teaching portfolio reflects the interdisciplinary nature of his research, connecting mechanical engineering fundamentals with cutting-edge AI methodologies. He currently leads multiple research projects through 2025-2029, primarily as Promotor, focusing on fault detection in gears using fiber optic sensors, multi-sensor monitoring of drivelines, physics-inspired machine learning for condition monitoring, and digital twin applications for wind turbine efficiency improvement.

Carlos Palazuelos Cabezónمشاهده پروفایل

استاد

• Functional Analysis
• Quantum Information Theory
• Operator Spaces
• +۷ مورد دیگر

Carlos Palazuelos Cabezón is a Professor in the Department of Mathematical Analysis and Applied Mathematics at the Faculty of Mathematical Sciences, Universidad Complutense de Madrid (UCM), with a joint affiliation at the Instituto de Ciencias Matemáticas (ICMAT). He holds a Ramón y Cajal contract and has been a Full Professor since 2024, following his role as Associate Professor from 2019 to 2024. His work bridges deep mathematical theory and quantum information science. Research Interests: His primary research lies at the intersection of functional analysis and quantum information theory. He investigates operator spaces and their applications to quantum entanglement, Bell inequalities, quantum channels, and nonlocal games. A second major line involves noncommutative harmonic analysis, particularly hypercontractivity in von Neumann algebras. His work is highly theoretical and appears in top mathematical and physics journals. Publication Trends: His recent publications demonstrate a consistent focus on the mathematical foundations of quantum information, particularly using tools from operator space theory and Banach space geometry to analyze quantum nonlocality, entanglement, and computational models. There is a strong trend toward solving foundational problems in quantum theory using advanced functional analysis. Scientific Awards: Premio Extraordinario de Doctorado (2008/2009) Doctorado Europeo Advising and Grants: While no specific students are listed, he is part of the MathQI research group and has likely mentored graduate students. He has been supported by prestigious postdoctoral and permanent research contracts in Spain, including the Juan de la Cierva and Ramón y Cajal programs, which are highly competitive grants for early-career and established researchers, respectively. Labs and Teams: He is a member of the MathQI research group (Mathematical Quantum Information) at UCM and is affiliated with ICMAT, a leading mathematics research institute in Spain. These affiliations provide a collaborative environment for interdisciplinary research in mathematical physics and quantum information.

Francesco Malaspinaمشاهده پروفایل

استاد

• Vector Bundles
• Projective Algebraic Geometry
• Commutative and Non-Commutative Algebra
• +۳ مورد دیگر

Francesco Malaspina is a Full Professor at the Department of Mathematical Sciences (DISMA) of the Polytechnic University of Turin. His research focuses on vector bundles , projective algebraic geometry , and ACM (Arithmetically Cohen-Macaulay) bundles , particularly on varieties like quadrics, Grassmannians, and multiprojective spaces. He has contributed extensively to splitting criteria for vector bundles, cohomology properties, and moduli space classification. His work bridges abstract algebraic geometry with applications in mathematical physics and topological methods. Key research areas : Vector bundles, Ulrich bundles, instanton bundles, Castelnuovo-Mumford regularity, cohomology vanishing, projective varieties. Publications include studies on Ulrich bundles on Segre-Veronese varieties, instanton bundles on flag varieties, and cohomological properties of vector bundles. His articles often explore the interplay between algebraic structures and geometric intuition, emphasizing aesthetic-driven mathematical inquiry. Teaching spans linear algebra, geometry, and advanced topics for aerospace and pure/applied mathematics programs. He has also engaged in science communication, notably through his book Seven Simple Lessons in Mathematics; on Love, Death, Football, Meringues, and Geometry , which connects abstract math to humanistic themes.

• Representation Theory
• Algebraic Geometry
• Combinatorics
• +۴ مورد دیگر

Daniel K. Nakano is a Distinguished Research Professor in the Department of Mathematics at the University of Georgia. He holds a Ph.D. in Mathematics from Yale University (1990) and a B.A. from the University of California, Berkeley (1986). His research focuses on representation theory, bridging algebra, geometry, and homological algebra, with applications to combinatorics, algebraic geometry, topology, and physics. His work investigates the interplay between tensor triangulated categories and geometric objects, uncovering hidden geometry in algebraic structures. Recent publications explore quantum groups, Lie superalgebras, Hecke algebras, and tilting module conjectures, often in collaboration with leading mathematicians like Christopher P. Bendel and Cornelius Pillen. Scientific Awards : National Science Foundation Postdoctoral Fellowship (1992-1995) Creative Research Medal, University of Georgia (2007) McCay Award, UGA Department of Mathematics (2008) Distinguished Research Professorship (2010) Fellow of the American Mathematical Society (2013, Inaugural Class) Lamar Dodd Creative Research Award (2016) Nakano has served on college and university committees and organized academic events, including the Southeastern Lie Theory Workshop Series. He advises Ph.D. students and mentors postdoctoral fellows, though specific advisees are not named in the provided data.