جست‌وجوی استاد و پژوهشگر

• Model Theory
• Mathematical Logic
• Algebra
• +۴ مورد دیگر

David M Evans holds the position of Chair in Pure Mathematics at the Department of Mathematics, Faculty of Natural Sciences, Imperial College London. His academic career spans several decades with continuous research contributions in mathematical logic and its interdisciplinary applications. Professor Evans' research focuses on the theoretical foundations and practical applications of Model Theory, with particular emphasis on: Stability theory and its generalizations within model-theoretic frameworks Hrushovski constructions and their geometric properties Interactions between model theory, algebra, and combinatorics Automorphism groups of infinite structures Ramsey properties in sparse graphs and metric spaces His publication record demonstrates consistent innovation in geometric model theory, with recent work exploring amalgamation properties in measured structures, simplicity of automorphism groups, and EPPA (Extension Property for Partial Automorphisms) in various mathematical structures. His research bridges abstract model-theoretic concepts with concrete combinatorial and algebraic applications, particularly in the study of homogeneous structures and their automorphism groups. Professor Evans has supervised numerous doctoral students including D. G. D. Gray, Reinhold Konnerth, Herwig Nuebling, Marco Antonio Semana Ferreira, Yibei Li, and Robert Sullivan. His research has been supported by grants such as 'Model theory of generic structures and simple theories' and the 'Workshop on Pure Model Theory,' reflecting the significance of his contributions to the field.

David F. Andersonمشاهده پروفایل

استاد

• Mathematical Biology
• Systems Biology
• Stochastic Modeling
• +۳ مورد دیگر

David F. Anderson is the Vilas Distinguished Achievement Professor of Mathematics at the Department of Mathematics, University of Wisconsin-Madison. He has maintained an active research and teaching career spanning over two decades with significant contributions to mathematical biology and stochastic modeling. Dr. Anderson's research focuses on the interface of mathematics and biology, specifically in mathematical systems biology and algorithm design for stochastic models in biological systems. His work has fundamentally advanced chemical reaction network theory, stochastic processes in biochemical systems, and computational methods for analyzing complex biological phenomena. He has developed numerous numerical techniques for simulating and analyzing reaction networks with applications across systems biology. An analysis of his recent publications reveals a sustained focus on mathematical properties of stochastic reaction networks, with increasing emphasis on connections between chemical systems and computational frameworks. His later work explores reaction networks as computing devices, implementing arithmetic operations and neural network functionalities through biochemical processes, while maintaining rigorous mathematical analysis of network properties like ergodicity, mixing times, and solution structures. Simons Fellow (2022) Vilas Associates Award (2016) IMA Prize in Mathematics (2014) Dr. Anderson has successfully guided nine PhD students to completion, with recent graduates including Aidan Howells (2024), Tung Nguyen (2021), Chaojie Yuan (2020), Kurt Ehlert (2019), and Jinsu Kim (2018). His current graduate student is Jingyi Ma. His research has been supported by prestigious fellowships including the Simons Fellowship, indicating substantial research funding, though specific grant details aren't provided in the source material. While specific laboratory facilities aren't described in the text, Dr. Anderson maintains an active research group evidenced by continuous publications, regular PhD student completions, and collaborations with numerous researchers including Daniele Cappelletti, Jinsu Kim, and Tung Nguyen. His research program demonstrates sustained productivity with publications spanning from 2005 to the present.

Michael L. Madiganمشاهده پروفایل

استاد

• Human Factors Engineering
• Ergonomics
• Occupational Biomechanics
• +۶ مورد دیگر

Michael L. Madigan is a Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech. His research focuses on human factors engineering, biomechanics, and ergonomics, particularly addressing issues related to slips, trips, falls, and musculoskeletal disorders. He leads the Madigan Biomechanics Group, which investigates the biomechanics of human motion and neuromuscular control to enhance occupational safety and elderly health. Education: Ph.D., Biomedical Engineering, Virginia Commonwealth University, 2001 M.S., Bioengineering, Texas A&M University, 1996 B.S., Bioengineering, Texas A&M University, 1994 Research Interests: Obesity’s impact on mobility, aging-related biomechanics, workplace ergonomics, and biomechanical interventions for fall prevention. His work combines experimental and computational methods to develop preventive measures like exercise interventions and ergonomic designs. Professional Roles: Editor-in-Chief, Journal of Applied Biomechanics (2017–present) Formerly Editor, Medicine and Science in Sports and Exercise (2013–2017) Secretary, American Society of Biomechanics (2009–2012) Awards: Kevin P. Granata Faculty Fellow (2013–2014) Virginia Tech College of Engineering Certificate of Teaching Excellence (2014) Finalist for International Society of Biomechanics Clinical Award (2005) Advising & Grants: Advised over 20 doctoral and undergraduate students since 2007. His grants support studies on obesity-related falls, exoskeleton design, and biomechanical modeling. Collaborates with the Virginia Tech-Wake Forest School of Biomedical Engineering and Sciences. Labs/Teams: Director of the Madigan Biomechanics Group and core member of the Occupational Ergonomics and Biomechanics Laboratories. Active in developing smart prosthetics and wearable technologies for injury prevention.

Graeme Peter Desmond Wilkinمشاهده پروفایل

مدرس

• Geometry
• Topology
• Gauge Theory
• +۷ مورد دیگر

Dr. Graeme Peter Desmond Wilkin is a Lecturer in Pure Mathematics at the University of York, where he serves as Undergraduate Admissions Officer for the Department of Mathematics. He completed his undergraduate studies at the University of Melbourne and earned his PhD from Brown University in 2006. Prior to joining York, he held academic positions at Johns Hopkins University, the University of Colorado, and the National University of Singapore. His educational background includes: Undergraduate studies at the University of Melbourne PhD from Brown University (2006) Dr. Wilkin specializes in the topology and geometry of moduli spaces that arise in gauge theory, with particular focus on Higgs bundles and quiver varieties . His research employs diverse techniques from differential geometry, geometric analysis, algebraic geometry, and representation theory, with special emphasis on Morse theory and geometric flows . His work has significant connections to theoretical physics, particularly in areas related to quantum field theory and string theory. Analysis of his recent publications reveals a consistent focus on the geometric and topological properties of moduli spaces, with increasing attention to the analytical aspects of Morse theory on singular spaces. His research demonstrates strong connections between pure mathematics and theoretical physics, particularly in how geometric structures relate to physical phenomena. While maintaining a strong theoretical foundation, his recent work shows growing interest in computational aspects of these complex geometric structures. Dr. Wilkin actively supervises graduate students and has secured multiple research grants. His current project "Geometry of very stable and wobbly bundles" runs from October 2024 to September 2025. Previous projects include "Algebraic and Analytic Methods in Gauge Theory" and "Geometry and Topology of Singular Spaces." Principal Investigator on "Geometry of very stable and wobbly bundles" (2024-2025) Principal Investigator on "Algebraic and Analytic Methods in Gauge Theory" (2024) Researcher on "Geometry and Topology of Singular Spaces" (2018-2019) He is an active member of the "Geometry and Analysis" research group at the University of York and frequently participates in international conferences and collaborative research projects across multiple countries. His upcoming activities include organizing the "New Frontiers in Gauge Theory, Topology and Physics" conference scheduled for September-October 2026.

Hailong Chenمشاهده پروفایل

دانشیار

• Computational Mechanics
• Computational Materials
• Meshfree Methods
• +۶ مورد دیگر

Hailong Chen is an Associate Professor in the Department of Mechanical and Aerospace Engineering within the Stanley and Karen Pigman College of Engineering at the University of Kentucky. His academic journey includes a Ph.D. in Mechanical Engineering from Arizona State University (2015) and an M.S. in Mechanical Engineering from the University of Florida (2012). Dr. Chen's research focuses on Computational Mechanics & Materials, with expertise spanning meshfree methods, multi-scale multi-physics modeling, mechanics of stochastic heterogeneous microstructures, and pervasive fracture and impact modeling. His work bridges theoretical developments with practical engineering applications through the CM 3 (Computational Mechanics and Methods) research group, which develops advanced computational techniques for real-world mechanics problems. The CM 3 group specializes in multi-scale multi-physics modeling of solid materials, damage and failure analysis under extreme conditions, mechanics of stochastic heterogeneous microstructures (composites, polycrystals), and computational materials engineering. Recent publications demonstrate strong activity in peridynamics, lattice particle methods, and computational homogenization techniques for fibrous and porous materials. Dr. Chen's research has resulted in numerous publications in top journals including Computer Methods in Applied Mechanics and Engineering and Mechanics Research Communications, with recent work focusing on generalized peridynamic formulations, micro-CT-based property computation, and fluid-structure interaction frameworks for hypersonic applications. His academic progression shows steady advancement from Postdoctoral Computational Scientist at Idaho National Laboratory (2015-2018) to Assistant Professor (2018-2024) and currently Associate Professor (2024-present) at the University of Kentucky.

Alejandro Ademمشاهده پروفایل

استاد

• Algebraic Topology
• Group Cohomology
• K-Theory
• +۶ مورد دیگر

Alejandro Adem is a Professor in the Department of Mathematics at the University of British Columbia , with a distinguished career spanning institutions like the University of Wisconsin-Madison and roles such as Director of the Pacific Institute for the Mathematical Sciences (PIMS) (2008–2015), CEO of Mitacs (2015–2019), and President of NSERC (2019–present). He is on leave from UBC. B.S. , National University of Mexico (1982) Ph.D. , Princeton University (1986) Research Interests : His work bridges algebraic topology and group theory , focusing on the cohomology of finite and infinite groups , spaces of homomorphisms , K-theory , and orbifolds . Recent projects include generalized Tate cohomology, quantum mechanics applications of twisted K-theory, and structural analysis of commuting element spaces in Lie groups. Scientific Trends : His 15 most recent articles emphasize homotopy theory , group cohomology , and topological applications in physics , with collaborations on equivariant K-theory , manifold classification , and commuting element spaces . Fellow of the Royal Society of Canada , American Mathematical Society , and Canadian Mathematical Society Jeffery-Williams Prize (2019) Canada Research Chair at UBC Science, Technology, and Innovation Award of the Americas Advising & Leadership : Supervised 22 PhD students, including Daniel Sheinbaum (2020) and Max Gheorghiu (2024). Served on the NSERC Council , chaired the Global Research Council , and contributed to University of British Columbia policies .

Nagamani Jaya Balilaمشاهده پروفایل

دانشیار

• Mechanical Behavior of Materials
• Nanoindentation
• Micro-mechanics
• +۷ مورد دیگر

Dr. Nagamani Jaya Balila is an Associate Professor in the Department of Metallurgical Engineering and Materials Science at the Indian Institute of Technology Bombay (IIT Bombay), where she has been serving since October 2016. She was promoted to Associate Professor in May 2021, having previously held the position of Assistant Professor. She leads the Micro-Mechanics of Materials (MMM) Group, focusing on mechanical behavior at micro- and nano-scales. Her research interests center on the mechanical behavior of materials at small length scales, with emphasis on micro-mechanics , fracture of thin films and coatings , interface engineering , and damage tolerance in advanced steels and composites . Her work explores phenomena such as the 'smaller is stronger' effect and inverse Hall-Petch behavior in nanostructured systems. She develops in-situ micromechanical testing tools and employs finite element simulations to design damage-tolerant architectures. The selected publications reflect a strong trend in miniaturized mechanical testing , in-situ deformation studies , and fracture analysis across diverse materials including high entropy alloys, silicon, metallic glasses, and industrial steels. The research spans fundamental mechanics to industrial applications, particularly in energy and structural materials. Scientific Awards and Recognitions: Head of Max Planck Partner Group at IIT Bombay (2016) Acta Materialia Certificate of Excellence in Reviewing (2015) Max Planck Postdoctoral Scholarship (2013–2016) CSIR & IIM-SJEF Travel Grants for TMS-2013 Multiple Best Poster and Presentation Awards (2009–2011) All India Rank 2 in GATE Metallurgical Engineering (2007) She has secured significant research funding, including the Max-Planck India Partner Group Project and proposals under the DST-Ramanujan Fellowship and IIT-B Seed Grant , with industrial collaborations involving TATA Steel and TATA Global Steel Wires . These projects aim to tailor damage tolerance in brittle systems and study fracture in cold-drawn wires and solar cell materials. Dr. Balila leads the Micro-Mechanics of Materials (MMM) Group at IIT Bombay, which integrates experimental in-situ testing with computational modeling to understand deformation and fracture mechanisms at micro- and nano-scales. The group actively contributes to national and international conferences, including Techfest IIT Bombay, and maintains strong ties with Max Planck Institutes and industrial partners.

Sergei Chmutovمشاهده پروفایل

استاد

• Algebraic Geometry
• Knot Theory
• Graph Theory
• +۵ مورد دیگر

Sergei Chmutov is a Professor of Mathematics at The Ohio State University, holding positions at both the Mansfield Campus and the Columbus Campus. He earned his PhD from Moscow State University in 1985. His primary research interests include Algebraic Geometry, Knot Theory, Graph Theory, and Topology, with a focus on Vassiliev invariants, low-dimensional topology, and combinatorial methods in algebraic geometry. Chmutov has taught a wide range of courses, including Partial Differential Equations, Abstract Algebra II, Linear Algebra, and Honors Differential Geometry. He has led working groups on Knots and Graphs for over a decade, fostering collaborative research among students and colleagues. His publications span foundational work in knot theory, topology, and algebraic geometry, including a book on Vassiliev knot invariants and numerous preprints exploring topics like virtual links, ribbon graphs, and topological diagrams. His research frequently bridges algebraic and geometric approaches to solving problems in these fields. Chmutov actively participates in academic seminars, including an online knot theory seminar series led by Roger Fenn and Louis Kauffman, where he presented on Thompson's group links and other advanced topics.

• Dynamical Systems
• Geometry
• Teichmüller Theory
• +۴ مورد دیگر

W. Patrick Hooper serves as Professor, Chair, and Majors Advisor in the Department of Mathematics at City College of New York, part of the City University of New York system. He maintains a dual appointment as Math Doctoral Faculty at the CUNY Graduate Center, where he holds office in Room 4217.02 and can be reached at 212-817-8567. Hooper completed his undergraduate studies in mathematics at the University of Maryland, where he participated in the Experimental Geometry Lab. He earned his PhD in 2006 from Stony Brook University under Yair Minsky, focusing on billiards in polygons and their connections to Teichmüller theory. Following approximately three years as a Boas Assistant Professor at Northwestern University, he joined City College in spring 2010. His research centers on dynamical systems defined by piecewise continuous maps that preserve geometric structure away from discontinuities. By studying piecewise continuous isometries, Hooper explores richer classes of dynamical systems that reveal novel phenomena beyond the constraints of continuous isometry groups. His work frequently connects to geometry through interval exchange maps and their relationship to Teichmüller theory, examining how discretization creates new dynamical behaviors bridging geometric and dynamical perspectives. Analysis of Hooper's publication record shows consistent advancement in understanding infinite translation surfaces and their ergodic properties, with recent work extending to prism geometries and stellar foliation structures. His research demonstrates increasing sophistication in connecting abstract dynamical systems to concrete geometric constructions, particularly through the lens of cube surfaces and periodic structures. Professor Hooper has mentored students including Kadar He, who recently advanced to the PhD program at CUNY's Graduate Center. His research has been presented at numerous international conferences including at the Hausdorff Institute in Bonn, Germany, and the Fields Institute in Toronto. The IT-ROCS REU program at CCNY, mentioned in August 2025 news, likely represents current undergraduate research initiatives he oversees. His mathematical image gallery showcases the visual dimension of his research, featuring eigenfunction curves, quasi-periodic truchet tilings, and the Necker cube surface, demonstrating how geometric visualization informs his theoretical work in dynamical systems.

Lina von Sydowمشاهده پروفایل

استاد

• Computational Science
• Computational Finance
• Ice Sheet Modeling
• +۲ مورد دیگر

Lina von Sydow is a Professor in Computational Science at Uppsala University's Department of Information Technology. She serves as Section Dean for the Mathematical-Computer Science Section since July 2023. Her academic journey includes becoming an Associate Professor in 2000, Senior Lecturer since 1997, and leading the Department of Information Technology from 2018 to 2023. PhD in Domain Decomposition Methods (1995, Uppsala University) Postdoctoral Fellow at Oxford University (1996-1997) Her research spans computational science with dual focuses on Computational Finance and Ice Sheet Modeling . In finance, she develops numerical methods for option pricing using PDEs, radial basis functions, and stochastic volatility models. In climate science, she contributes to ice sheet dynamics through full Stokes models and adaptive time-stepping approaches, particularly in simulating grounding line migration. Recent publications (2025) address gender disparities in IT education, including comparative analysis of admission trends and intervention studies to boost female enrollment. Earlier works (2020-2015) focus on high-order finite difference methods for financial derivatives, BENCHOP benchmarking projects, and preconditioning techniques for PDEs. Scientific awards include Excellent Teacher (2013) She actively collaborates on educational reforms, co-authoring studies like Gender-aware course reform in Scientific Computing (2013). Her leadership roles include Head of Department (2018-2023) and Section Dean (2023-present), influencing academic governance and interdisciplinary research. Labs and teams: Works with Uppsala University's Computational Science group, Elmer/ICE project collaborators (e.g., Per Lötstedt, Gong Cheng), and international partners in numerical finance and climate modeling.

Tyler Lawsonمشاهده پروفایل

استاد

• Algebraic topology
• K-theory
• Homotopy theory
• +۳ مورد دیگر

Tyler Lawson is a Professor in the School of Mathematics at the University of Minnesota, holding the distinguished Albert and Dorothy Marden Professorship. His office is located in Vincent Hall 323 at 206 Church Street SE, Minneapolis, MN 55455, and he can be reached at tlawson@umn.edu or (612) 625-6802. Professor Lawson's research focuses on algebraic topology and K-theory, with significant contributions to homotopy theory, quandles, stable homotopy theory, and braided Hopf algebras. His work bridges abstract algebraic structures with topological applications, particularly exploring connections between category theory and homotopy-theoretic constructions. He has made notable advances in understanding filtrations and derived spaces, the generating hypothesis in stable homotopy theory, and the homotopy theory of quandles as they relate to knot invariants. Analysis of his recent publications reveals a strong emphasis on structural theorems in algebraic topology, with particular attention to equivariant phenomena, rational homotopy theory, and connections to arithmetic statistics. His research demonstrates sophisticated interplay between combinatorial structures and topological invariants, often revealing unexpected connections between seemingly disparate mathematical domains. Albert and Dorothy Marden Professor Professor Lawson actively advises graduate students and participates in the topology seminar series at the University of Minnesota, where he has presented on topics ranging from filtrations and derived spaces to the generating hypothesis. His research program includes collaborations with mathematicians across institutions, contributing to advancements in homotopy theory and its applications to other mathematical fields. He maintains an active research group focused on exploring the frontiers of algebraic topology and its connections to related disciplines.

Larry A. Fahnestockمشاهده پروفایل

استاد

• Earthquake Engineering
• Structural Engineering
• Steel Structures
• +۵ مورد دیگر

Larry A. Fahnestock is a Professor in the Department of Civil and Environmental Engineering at the University of Illinois Urbana-Champaign and serves as Associate Dean for Facilities and Capital Planning in The Grainger College of Engineering . He holds a BS in Civil Engineering (1996), MS in Civil Engineering (1998), and PhD in Civil Engineering (2006) from Lehigh and Drexel Universities. His career at Illinois includes roles as Chair of the Structures Group (2018-2021), Director of the Newmark Structural Engineering Laboratory (2022-2025), and Siess Faculty Scholar (2022-present).

• Orthodontics
• Biomechanics
• Dental Materials Science
• +۳ مورد دیگر

Prof. Dr. Andrea Wichelhaus is a full professor and head of the Department of Orthodontics at the LMU University Hospital Munich. She holds a medical dentistry degree from the Universities of Cologne and Heidelberg (1985), a PhD (1987), and completed habilitation at the University of Ulm (1996). Her career includes roles as deputy director of the Department of Orthodontics at Ulm University (1990–1999) and professorships at the Universities of Basel (2008) and Munich (2008–present). She conducted research at Harvard University (1996). Research focuses on biomechanics, mechanobiology, and orthodontic materials. Key areas include orthodontic appliance design, force/moment analysis, and material testing. Awards include the 1995 Walter-Engel-Preis and the German Society of Orthodontics' best publication award. Publications span over 30 years, emphasizing clinical and biomechanical studies. Recent work explores NiTi alloys, CAD/CAM retainers, 3D-printed bonding trays, and robotic simulation systems (ROSS/HOSEA). Her textbook Kieferorthopädie - Therapie (2024) outlines advanced treatment concepts. Her team conducts interdisciplinary studies involving finite element analysis, in vitro testing, and clinical trials. Collaborations include biomechanical engineering and material science groups.

Atreyee Banerjeeمشاهده پروفایل

پژوهشگر

• Polymer Physics
• Condensed Matter Physics
• Materials Science
• +۳ مورد دیگر

Atreyee Banerjee is a Researcher and Early Career Fellow at Albert-Ludwigs-Universität (Oct 2024–Jun 2025) and a Postdoctoral Researcher at the Max Planck Institute for Polymer Research (MPIP), Mainz, Germany, under Prof. Kurt Kremer. She completed her PhD in Chemical Science at CSIR-National Chemical Laboratory (2017) and postdocs at Cambridge University (2017–2019) and MPIP (2019–present). Education PhD (2017): CSIR-NCL, Pune, India (Supervisor: Dr. Sarika Maitra Bhattacharyya) MSc (2011): Visva Bharati, Santiniketan (Physical Chemistry) BSc (2009): Visva Bharati, Santiniketan Research Interests Focused on data-driven analysis of complex systems, including supercooled liquids, polymers, and organic crystals. Specializes in combining theory, simulations, and machine learning to study structural/dynamical properties. Key areas include glass transition, free energy landscapes, and polymer dynamics. Publications Overview Recent work includes machine learning approaches to glass transition in acrylic polymers (J. Chem. Phys., 2023), data-driven analysis of polymer dynamics (ACS Macro. Lett., 2023), and thermodynamic studies of supercooled liquids (Soft Matter, 2022). Research emphasizes methodological innovations like PCA clustering and basin-hopping optimization. Awards Recipient of DST-India Travel Award (2017), Best Research Scholar Award (CSIR-NCL, 2017), Shell-India Computational Talent Prize Bronze (2015), and multiple best poster awards (2014–2015). Grants & Labs Collaborates with Dr. Oleksandra Kukharenko in the Polymer Theory Group at MPIP. Active in computational initiatives like the ENGAGE Summer School (2023). Research involves datasets from GROMACS trajectories and open-source tools (e.g., scikit-learn).

Camilla Fioriniمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Numerical Analysis
• Partial Differential Equations
• +۴ مورد دیگر

Camilla Fiorini is an Associate Professor at the National Conservatory of Arts and Crafts (CNAM) in Paris, where she conducts research at the Mathematical and Numerical Modeling Laboratory (M2N). She serves as Principal Investigator for the ANR-funded SPARCL project (2025-2029) focusing on structure-preserving reduced order models for conservation laws. Her academic background includes a PhD in Applied Mathematics from the University of Versailles and both MSc/BSc degrees in Mathematical Engineering from Politecnico di Milano. Her research centers on computational fluid dynamics, numerical analysis of PDEs, and sensitivity methods, with specific applications in uncertainty quantification and reduced order modeling. Current projects develop novel approaches for conservation laws that maintain structural properties while improving computational efficiency and reliability. Fiorini's publication record demonstrates consistent focus on sensitivity analysis techniques for complex fluid systems, shock-capturing methods, and uncertainty propagation in hyperbolic PDEs. She received the SMAI-GAMNI PhD Award 2019 (French ECCOMAS Award) for her doctoral dissertation on sensitivity analysis for nonlinear hyperbolic systems. As Principal Investigator of the SPARCL project, she leads a team developing new reduced basis construction techniques for conservation laws. Fiorini actively advises graduate researchers including PhD students Nathalie Nouaime (2021-2024) and Nicolas Lepage (2022-present), plus multiple Master's candidates. Her research group collaborates with institutions including Inria, Sorbonne University, ONERA, and CEA. Current projects include ANR JCJC-funded SPARCL and ANR AHEAD initiatives. She leads the SPARCL research group at M2N laboratory, collaborating with researchers including Alessia Del Grosso, Iraj Mortazavi, and Taraneh Sayadi on reduced order modeling techniques. The team focuses on developing computationally efficient ROMs that preserve physical structures in conservation laws.