جستجوی استاد راهنمای دانشگاهی

Ari Sternمشاهده پروفایل

استاد

• Geometric Numerical Analysis
• Computational Mathematics
• Applied Analysis
• +۴ مورد دیگر

Ari Stern is a Professor of Mathematics at Washington University in St. Louis , specializing in Geometric Numerical Analysis . His work bridges geometry, applied analysis, and computational mathematics, focusing on numerical methods that maintain global accuracy for differential equations through modern geometric principles. He earned his B.A. and M.A. in Mathematics from Columbia University and a Ph.D. in Applied and Computational Mathematics from Caltech (2009), advised by Jerrold E. Marsden and Mathieu Desbrun. Prior to WashU (2012), he was a postdoc at UCSD with Michael Holst. Research Interests : Geometric integration, finite element exterior calculus, symplectic geometry, and applications to physics and machine learning. His recent publications address multisymplecticity, functional equivariance, and hybrid finite element methods. Collaborations span topics from Alzheimer’s disease modeling via machine learning to Hamiltonian mechanics and geometric electrodynamics. Awards : NSF Grant (2019). Teaching : Courses include Numerical Methods for Differential Equations, Measure Theory, and Honors Mathematics.

• Algebra
• Representation Theory
• Semigroup Theory
• +۳ مورد دیگر

Marianne Johnson is a Senior Lecturer in the School of Mathematics at the University of Manchester. She is a core member of the tropical mathematics research group and collaborates with institutions including Birmingham, Queen Mary University of London, and Warwick through an LMS Joint Research Network. Her research focuses on algebra and combinatorics, including free Lie algebras, representation theory, semigroup theory, and tropical algebra/geometry. She has contributed to EPSRC-funded projects such as 'Multiplicative Structure of Tropical Matrix Algebra' and 'Modular Lie Powers and Applications,' and participated in the CICADA interdisciplinary project. Her research interests span a wide array of algebraic topics: free Lie algebras explore the structure of non-associative algebras, while representation theory examines how algebraic structures act on vector spaces. Semigroup theory and tropical algebra involve studying combinatorial and geometric properties of matrices and monoids over semirings. Recent work includes studies on plactic-like monoids, tropical matrix identities, and linear functions preserving Green's relations. Johnson has co-authored over 29 publications, with recent trends emphasizing tropical algebra's applications to geometric and algorithmic problems, such as tropical matrix groups and hyperplane arrangements. Her work bridges pure mathematics with interdisciplinary fields like computational dynamics and healthcare through collaborations like CICADA. Notable projects include analyzing upper triangular tropical matrices and exploring NP-completeness in gossip monoids. She has advised three research students and contributed to grants involving EPSRC-funded projects. Her affiliations include the Data Science Institute, Algebra research group, and Tropical Mathematics cluster at Manchester. Her work also intersects with Digital Futures initiatives, reflecting her commitment to advancing computational and theoretical mathematics.

• Mathematics
• Analysis
• Mechanical Engineering
• +۲ مورد دیگر

Xiao Ma is a Donald J. Lewis Research Assistant Professor in the Department of Mathematics at the University of Michigan, located within the College of Literature, Science, and the Arts. His academic work bridges mathematics and interdisciplinary applications in mechanics, materials science, and soft matter. He holds a Ph.D. from Princeton University (2023) and a B.S. from the University of Science and Technology of China (2018). Dr. Ma’s research focuses on topological mechanics, metamaterials design, and geometric principles governing material behavior. His studies explore novel mechanical systems, such as origami-inspired structures, topological neural networks, and stress dynamics in colloidal gels. Recent work emphasizes wave control in auxetic media and fracture mechanics in topological lattices. His publications span topics including active matter dynamics, frustrated self-assembly, and mechanical metamaterials. Collaborative efforts involve interdisciplinary teams addressing challenges in structural engineering, biophysics, and computational mechanics. Despite no explicitly listed awards, his contributions reflect innovative approaches to complex mechanical systems. Advising and grants: While no specific grants or student advisees are mentioned, his role as a research professor suggests active involvement in mentoring graduate students and postdoctoral researchers. His laboratory likely focuses on experimental and theoretical studies of mechanical systems, though specific lab names are not provided in the text.

Peter von Bülowمشاهده پروفایل

استاد

• Evolutionary Computation
• Structural Optimization
• Lightweight Structures
• +۴ مورد دیگر

Peter von Bülow is a Professor of Architecture at the University of Michigan’s Taubman College of Architecture and Urban Planning. His research bridges evolutionary computation with structural optimization, focusing on innovative architectural systems like thin-shell concrete and modular fabric structures. As a Fulbright Scholar, he worked at the University of Stuttgart’s Institute for Lightweight Studies under Frei Otto. He actively contributes to the International Association of Shell and Spatial Structures (IASS) and has designed notable projects such as wooden grid shells using reclaimed materials. Education: Doctorate in Engineering (Dr.-Ing.), University of Stuttgart (Institute for Lightweight Structures and Conceptual Design, under Werner Sobek) Master of Science in Civil Engineering, University of Tennessee Bachelor of Architecture, University of Tennessee Research Interests: von Bülow’s work centers on computational design methodologies for optimizing structural forms, particularly lightweight and branching column systems. His research integrates evolutionary algorithms with architectural practice, emphasizing material efficiency and geometric innovation. Recent projects explore reclaimed materials in structural design and stochastic search methods for form exploration. Scientific Awards: Fulbright Scholar (University of Stuttgart) NSF Regional Innovation Engines Program Semifinalist (2023) Pressing Matters Grants (2022) R+D Awards (2018)

Charith Abhayaratneمشاهده پروفایل

مدرس ارشد

• Signal Processing
• Machine Learning
• Multimedia Security
• +۷ مورد دیگر

Dr. Charith Abhayaratne is a Senior Lecturer and EEE Foundation Year Tutor at the School of Electrical and Electronic Engineering, University of Sheffield. He leads the Communications Research Group and serves as the accreditation team lead for the school. With qualifications including a PhD from the University of Bath and a B.E. from the University of Adelaide, his research focuses on signal processing, machine learning, multimedia security, and video coding. His work explores blockchain for content protection, visual salience in robotics, human activity recognition, and advanced video coding techniques (HDR, UHD, 360° video). His research has been funded by Innovate UK, EPSRC, and industry partners. Education: B.E. (Electrical and Electronic Engineering), The University of Adelaide, Australia (1998) PhD (Electronic and Electrical Engineering), University of Bath, UK (2002) PGCertHE (Higher Education), University of Sheffield (2008) Fellow of the Higher Education Academy (FHEA), Member of the Institution of Engineering and Technology (MIET), Member of IEEE (MIEEE) Research Interests: His work spans multimedia security (data hiding, blockchain), computer vision (visual salience, object recognition), and video coding (HDR/UHD). Current projects include robotic vision applications, assisted living through activity recognition, and international standards development (JPEG/MPEG). He has contributed to scalable video standards and serves on technical committees for IEEE, EURASIP, and APSIPA. Awards & Service: Recipient of the Alain Bensoussan Fellowship (ERCIM, 2002) Associate Editor for IEEE Transactions on Image Processing, IEEE Access, and Elsevier JISA Member of EPSRC Peer Review College and British Standards Institution (BSI) Grants & Labs: Active grants from Innovate UK and EPSRC support projects in multimedia security and video coding. His lab leads interdisciplinary work in AI-driven visual analytics and secure media distribution frameworks.

Jens Vygenمشاهده پروفایل

استاد

• Combinatorial Optimization
• Approximation Algorithms
• Chip Design
• +۴ مورد دیگر

Prof. Jens Vygen is a full Professor of Discrete Mathematics at the University of Bonn's Research Institute for Discrete Mathematics. He specializes in combinatorial optimization, approximation algorithms, and their applications to chip design and vehicle routing. He has directed large-scale industrial collaborations and supervised over 20 PhD students, including Vera Traub. His work includes co-authoring influential textbooks like Combinatorial Optimization: Theory and Algorithms and Approximation Algorithms for Traveling Salesman Problems . Research highlights include advancements in TSP approximation algorithms, Steiner tree optimization, and network flow algorithms. He has organized major events like the IPCO conference and served on editorial boards of leading journals. Awards include teaching excellence and best paper recognitions at SODA and IPCO. Teaching focuses on advanced topics in discrete mathematics, approximation algorithms, and combinatorial optimization. Courses span undergraduate to graduate levels, emphasizing algorithm design, graph theory, and practical implementations. Labs/teams: Core contributor to Bonn's Hausdorff Center for Mathematics and Bonn's discrete optimization research group. Active in developing algorithms for VLSI routing (BonnRoute) and chip design tools (BonnPlace).

Petra Mutzelمشاهده پروفایل

استاد

• Graph Algorithmics
• Graph Learning
• Combinatorial Optimization
• +۳ مورد دیگر

Petra Mutzel is a Professor of Computer Science at the University of Bonn. Her research focuses on graph algorithmics, temporal networks, and combinatorial optimization with applications in data science and bioinformatics. She holds a PhD in Computer Science from the University of Cologne (1994) and a Diplom in Mathematics from the University of Augsburg (1990). Her work emphasizes algorithmic solutions for complex graph problems, including temporal graph analysis, graph learning, and optimization frameworks for real-world networks. She has contributed to open-source libraries like Tglib for temporal graph processing and frameworks like Scaffold Hunter for medicinal chemistry. Her research spans theoretical foundations and practical implementations, with notable contributions to graph drawing, vehicle routing optimization, and protein complex analysis. Mutzel’s recent publications (2022-2025) explore temporal network dynamics, robust combinatorial optimization, and scalable graph kernel methods. She actively engages in academic leadership, organizing conferences such as WALCOM 2022, and serves on editorial boards for journals in algorithms and computational geometry.

Joel Langerمشاهده پروفایل

استاد

• Differential Geometry
• Integrable Hamiltonian Systems
• Algebraic Curves
• +۳ مورد دیگر

Joel Langer is a Professor and Theodore M. Focke Professorial Fellow at the Department of Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University. His primary affiliations include the College of Arts and Sciences and the Department's research groups. His office is located at 2145 Adelbert Rd, Room 105C. Research focuses on the geometry of curves and integrable systems, including statics/dynamics of curves, interactions between geometry and Hamiltonian systems, and spaces of curves like 'Schwarz reflection geometry.' His work bridges pure mathematics with applications in physics, emphasizing geometric structures and their transformations. Recent publications (2024-2010) explore topics ranging from cubic plane curves and quadratic differentials to knot theory and historical geometric problems. His work often combines algebraic, differential, and topological methods to analyze curves and their properties in both real and complex settings. No scientific awards are explicitly listed in available texts, though his sustained research contributions are notable. Advising and grants sections remain unspecified in current data. Langer's research is associated with the university's mathematics department and its geometric analysis initiatives.

Michael Joswigمشاهده پروفایل

استاد

• Discrete Geometry
• Tropical Geometry
• Algorithmic Geometry
• +۴ مورد دیگر

Michael Joswig is an Einstein Professor of Discrete Mathematics/Geometry at Technische Universität Berlin and a Max Planck Fellow at the Max Planck Institute for Mathematics in the Sciences, Leipzig. His research focuses on polyhedral, tropical, and algorithmic geometry, optimization, combinatorial topology, and mathematical software development (e.g., polymake and OSCAR). He holds a PhD from the University of Tübingen (1994) and a Habilitation from TU Berlin (2000). His career includes professorial roles at TU Darmstadt and TU Berlin, alongside visiting positions at institutions like the Mathematical Sciences Research Institute in Berkeley. Joswig has authored over 120 publications, supervised numerous PhD students, and led major grants such as the SFB/TRR 195 'Symbolic Tools in Mathematics.' Research interests span geometric algorithms, tropical geometry applications, and software for computational mathematics. Notable awards include the SIAM SIGEST Award (2021) and the MATH Distinguished Fellowship (2023). He co-develops the OSCAR computer algebra system and actively contributes to academic leadership roles, editorial boards, and conference organization. Current projects include tropical mechanism design, approximate convex hulls, and polyhedral geometry in algebraic software systems. His work bridges theoretical mathematics with practical computational tools, impacting fields from optimization to biology.

• Computational Geometry
• Geometric Algorithmics
• GIScience
• +۵ مورد دیگر

Prof. Marc van Kreveld is a Professor and Head of the Department of Computer Science at Utrecht University since February 2023. His research focuses on computational geometry, geometric algorithmics, and their applications in GIScience, cartography, and puzzle design. He leads the Geometric Computing group and has made significant contributions to algorithms for trajectory data, geometric similarity, and spatial data analysis. Education: PhD in Computer Science from Utrecht University (1992). Research Interests: Computational geometry, GIScience, graph drawing, LIDAR point cloud reconstruction, and geometric puzzle analysis. His work bridges theoretical foundations and real-world applications, such as route data analysis and environmental modeling. Publications: Over 290 peer-reviewed papers, including foundational work on Fréchet distance algorithms, geometric spanners, and trajectory grouping. Recent contributions include advancements in collision detection for modular robots and mobility data science. Awards & Editorial Roles: Editor-in-Chief of Computing in Geometry and Topology , and editorial board member of Journal of Computational Geometry . Active in program committees for conferences like GIScience and SoCG. Teaching: Specializes in computational geometry and its applications, with a focus on algorithm design and geometric computing. Labs & Teams: Leads the Geometric Computing group at Utrecht University, collaborating on projects like braided river network modeling and automated puzzle generation.

Silun Zhangمشاهده پروفایل

استادیار

• Nonlinear Control
• Large-Scale Complex Systems
• Privacy-Preserving Algorithms
• +۳ مورد دیگر

Silun Zhang is an Assistant Professor in the Department of Mathematics at KTH Royal Institute of Technology, affiliated with WASP (Wallenberg AI, Autonomous Systems and Software Program) and the Digital Futures Faculty. He holds a Ph.D. in Optimization & Systems Theory from KTH (2019), an M.S. and B.S. in Automation from Harbin Institute of Technology, China. Prior to KTH, he was a Postdoctoral Associate at MIT's Laboratory for Information & Decision Systems (LIDS) and EECS Department (2019–2023), where he collaborated with Prof. Munther Dahleh and contributed to the MIT MicroMasters Program in Statistics and Data Science. His research focuses on nonlinear control , large-scale complex systems , privacy-preserving algorithms , and risk-averse reinforcement learning . Key areas include control on manifolds (e.g., rigid-body attitude coordination), privacy in federated learning, and moment-based modeling for collective systems. He leads projects such as 'Analysis and Synergy of Hyper-networked Autonomy' and 'Designing Interaction-Aware Multi-Robot Systems.' Current team members include Georgios Vasileiou (Ph.D.), Lantian Zhang (Postdoc), and Malintha Fernando Chakravarthige (Postdoc). His work is supported by the Wallenberg Foundations and Digital Futures. Open positions are available for motivated Ph.D. students and postdocs.

Faramarz Famil Samavatiمشاهده پروفایل

استاد

• Computer Graphics
• Interactive Games and Graphics
• 3D Imaging and Modeling
• +۱ مورد دیگر

Faramarz Famil Samavati is a Professor in the Department of Computer Science at the Faculty of Science, University of Calgary. His research focuses on computer graphics, interactive games and graphics, 3D imaging and modeling, and scientific computations. He holds a PhD in Mathematics and Computer Science from Sharif University of Technology (1999), an M.S. in Mathematics (1991), and a B.S. in Mathematics and Computer Science (1987), all from Sharif University of Tech. Samavati teaches courses such as CPSC 453 (Introduction to Computer Graphics), CPSC 589 (Modelling for Computer Graphics), and advanced computational techniques for graphics and visualization. His awards include the Best Paper Award at the ACM/Eurographics Expressive Conference (2017), Outstanding Leadership in Alberta Technology (ASTech Foundation), and multiple recognitions for graduate supervision excellence, including the Killam Graduate Supervision and Mentoring Award (2011). His research contributions span innovative work in discrete global grids, spherical curves, and hierarchical data structures, with applications in digital earth systems and geospatial modeling. He actively contributes to academic leadership and has been honored for his role in fostering technological innovation at the University of Calgary.

Einar Iversenمشاهده پروفایل

استاد

• Geophysics
• Seismology
• Applied Geophysics
• +۳ مورد دیگر

Einar Iversen is a Professor at the Department of Earth Science, University of Bergen (UiB), affiliated with the Geophysics research group. His work focuses on advanced computational methods in geophysics, including seismic modeling, wave propagation in anisotropic media, and dynamic ray tracing. He has contributed to developments in numerical simulation techniques for multiphysics processes in porous media and higher-order Hamilton-Jacobi perturbation theories. Research interests emphasize applications of mathematical physics to geophysical problems, such as full-waveform inversion, traveltime extrapolation, and geometrical spreading analysis. His studies often involve collaborations with institutions like NTNU, Rice University, and international researchers in seismology and applied mathematics. Key contributions include advancing ray-centred coordinate systems for dynamic ray tracing, improving finite-difference modeling accuracy in discontinuous media, and reconstructing metrics from boundary diffraction data. His work bridges theoretical developments with practical seismic data processing techniques, contributing to reservoir simulation and imaging technologies. Funding includes grants from the Research Council of Norway (e.g., projects 294404, 267769). His research outputs span journals like Geophysical Journal International , Computer Methods in Applied Mechanics and Engineering , and Geophysical Prospecting , reflecting a strong focus on computational and theoretical geophysics.

• Differential Geometry
• Topology
• Mathematical Physics
• +۴ مورد دیگر

Simone Cecchini is an Assistant Professor in the Department of Mathematics at Texas A&M University, affiliated with the College of Arts & Sciences. His research focuses on the intersection of analysis, geometry, and topology, particularly scalar curvature in Riemannian manifolds and mathematical general relativity. He holds a PhD from Northeastern University (2017), supervised by Maxim Braverman, and a Master’s from Sapienza University of Rome (2012), advised by Paolo Piazza. His work is supported by the Simons Foundation and the NSF. Research interests include scalar curvature rigidity, positive mass theorems, noncommutative geometry, and geometric analysis. He co-organized the MAGEC 2024 workshop at Caltech and contributes to initiatives like TAMU Math Circle. Teaching includes Algebraic Topology II and Linear Algebra. He co-organizes the Noncommutative Geometry Seminar at Texas A&M.

Stepan Paulمشاهده پروفایل

دانشگاهی

• Mathematics Education
• Scholarship of Teaching and Learning
• 3D Modeling in Education
• +۵ مورد دیگر

Stepan Paul is an Associate Teaching Professor in the Department of Mathematics at North Carolina State University (NC State), where he has been since 2020. He holds a BS in Mathematics from Duke University (2007) and a PhD in Mathematics from the University of California, Santa Barbara (2013). His primary research focuses on the scholarship of teaching and learning (SoTL) in mathematics, particularly how spatial and visualization skills influence student success in calculus and the impact of 3D manipulatives in active learning environments. He is also deeply involved in mathematical illustration, designing physical and digital tools to enhance the understanding of advanced mathematical concepts, such as non-Euclidean geometry and differential geometry. Paul’s work includes collaborations on projects like Manipulative Calculus , which developed 3D models for multivariable calculus education, and the Flat Klein Bottle sculpture, a curved-crease origami piece displayed at the National Museum of Mathematics. He has published extensively on calculus pedagogy, resource utilization in teaching, and the application of 3D printing in education. His contributions to the Illustrating Mathematics program at ICERM (2019) further highlight his commitment to bridging mathematical research and educational outreach. Education: BS Mathematics, Duke University, 2007 PhD Mathematics, UC Santa Barbara, 2013 Key Projects: Non-Euclidean paper thermoforming for geometry education Desmos applets for calculus visualization Thingiverse 3D print designs (e.g., Sudanese Möbius Band, Siefert Surface) Awards/Grants: Funded by NSF Grant DMS-1439786 and Sloan Foundation (2019) His teaching and research emphasize innovative methods to make abstract mathematical concepts accessible, leveraging technology and hands-on tools to improve student engagement and achievement.