جست‌وجوی استاد و پژوهشگر

Mark Skanderaمشاهده پروفایل

دانشیار

• Algebra and Number Theory
• Discrete Mathematics
• Algebraic Combinatorics

Mark Skandera is an Associate Professor in the Department of Mathematics at Lehigh University. He holds a Sc.B. from Brown University (1991), an M.S. from UC-Berkeley (1992), and a Ph.D. from MIT (2000). His research focuses on algebraic combinatorics, particularly Hecke algebra and symmetric group characters, with applications to total nonnegativity and generating functions. He has held postdoctoral positions at the University of Michigan, Dartmouth College, and Haverford College, and visiting roles at the University of Pennsylvania and Universidad de los Andes. His teaching spans calculus, linear algebra, abstract algebra, and combinatorics. Research interests include algebraic combinatorics, nonnegative matrices, and representation theory. Notable topics involve character evaluations, symmetric functions, and Bruhat order analysis. Teaching emphasizes foundational mathematics courses and advanced topics in combinatorics. His work has been published in numerous journals and conferences, with a focus on theoretical developments in algebraic structures and combinatorial methods. No scientific awards are explicitly mentioned, though his contributions to algebraic combinatorics are well-regarded in academic circles.

Amr Alanwar Abdelhafezمشاهده پروفایل

استاد مدعو

• Cyber-Physical Systems (CPS)
• Privacy-Preserving Techniques
• Reachability Analysis
• +۵ مورد دیگر

Amr Alanwar Abdelhafez is an Adjunct Professor of Computer Science at Constructor University Bremen’s School of Computer Science & Engineering. Previously, he held Assistant Professor roles at Technical University of Munich (Heilbronn Campus) and Jacobs University Bremen. His research focuses on Cyber-Physical Systems (CPS), emphasizing safety, privacy, and formal verification. He earned his Ph.D. from TU Munich’s Cyber-Physical Systems Group (2020), with prior roles including postdoc at KTH Royal Institute of Technology and research positions at UCLA and University of Waterloo. Education: Ph.D. in Cyber-Physical Systems, Technical University of Munich (2015–2020) M.Sc. in Engineering Science (Protection and Detection Hardware Trojan), Ain Shams University (2010–2013) B.Sc. in Computer and Control Systems Engineering, Ain Shams University (2005–2010) Research Interests: His work bridges theoretical foundations and practical applications in CPS, including privacy-preserving state estimation, resilient control systems, reachability analysis, and formal verification for autonomous systems. He develops methods to ensure safety and privacy in distributed systems, leveraging tools like zonotopes and homomorphic encryption. Key Contributions: Developed logical zonotopes for efficient representation of discrete systems. Advanced event-triggered control and diffusion strategies for distributed systems. Pioneered privacy-preserving techniques (e.g., CryptoImg, PrOLoc) using homomorphic encryption. Contributed to safety-critical applications like autonomous vehicle situational awareness and secure sensor networks. Awards & Recognition: Best Demonstration Paper Award at IPSN/CPSWeek 2017 Qualcomm Innovation Fellowship finalist (2017 and 2018) First place in TUM Graduate School Competition (2019) Grants & Industry Links: His work is supported by collaborations with institutions like IBM and JetBrains, and his open-source tools (e.g., Event-Triggered Diffusion Kalman Filters, Logical-Zonotope repository) are widely used in CPS research. Labs & Teams: Leads research on CPS safety and privacy at TU Munich, with active contributions to Constructor University’s CPS initiatives and GitHub repositories showcasing implementations of his methodologies.

Laura Taalmanمشاهده پروفایل

استاد

• Algebraic Geometry
• Knot Theory
• Game and Puzzle Analysis
• +۴ مورد دیگر

Laura Taalman is a Professor in the Department of Mathematics & Statistics at James Madison University (JMU), where she has been since 2000. She holds a PhD in Mathematics from Duke University (2000), an MA in Mathematics from Duke (1997), and a BS in Mathematics from the University of Chicago (1994). Her research spans algebraic geometry, knot theory, graph theory, and the algebraic/combinatorial analysis of games and puzzles. Recently, her work focuses on computational generative design for 3D printing, coding for interactive mathematical exploration, and procedural design. She is also an author of nationally-published calculus textbooks and puzzle books. Dr. Taalman’s teaching includes general education courses (e.g., MATH 103, ISCI 104), STEM calculus (MATH 231-232), and pure math courses like Discrete Mathematics (MATH 245) and Graph Theory (MATH 353). Her service contributions include leading the JMU Haynes Scholars RLC program, directing the JMU Experimental Mathematics Lab (JEM Lab), and managing the JMU 3SPACE Classroom. She participates in initiatives like the Illustrating Mathematics Steering Committee. Her publications blend theoretical mathematics with applications in art and design, such as modeling dynamical systems for 3D printing and analyzing Celtic knot designs. Recent work emphasizes interdisciplinary connections between mathematics, art, and technology, reflecting her commitment to innovative pedagogy and public-facing scholarship. Professional activities include organizing conferences (e.g., Bridges Conferences) and contributing to outreach programs. Her research and teaching highlight a dual focus on foundational mathematics and creative, applied problem-solving.

• Efficient Algorithms
• Randomization in Computation
• Sparse Polynomials
• +۳ مورد دیگر

Daniel S. Roche is a Professor in the Department of Computer Science at the United States Naval Academy . He focuses on developing efficient algorithms for mathematical problems, particularly leveraging randomization to enhance performance in terms of time, space, or communication. His research areas include polynomial computation, sparse polynomial interpolation, and applied cryptography, with a special interest in secure cloud computing and privacy-preserving technologies. Roche has contributed to advancements in oblivious RAM and sparse polynomial operations , authoring numerous publications in top-tier conferences such as CCS, NDSS, and ISSAC. His work is supported by the U.S. National Science Foundation (Award #1618269) . Roche actively collaborates with researchers like Mark Giesbrecht, Adam J. Aviv, and Seung Geol Choi. Research Trends : Recent publications highlight Roche's work on unbalanced private set union protocols, randomized prime generation in arithmetic progressions, and enhanced verification techniques for polynomial matrices. His articles from 2019–2025 emphasize sub-linear communication protocols , memory-efficient algorithms , and applied cryptographic systems . Contact : roche@usna.edu | Office: 438 Hopper Hall, USNA | Phone: (410) 293-6814

• Optics
• Optical Engineering
• Imaging Systems
• +۵ مورد دیگر

Eva Maria Acosta Plaza is a Professor at the University of Santiago de Compostela, affiliated with the Department of Applied Physics and the Faculty of Physics. Her research focuses on optics, photonics, and medical imaging, with contributions to wavefront coding, phase mask optimization, and retinal image enhancement. She leads the P4Life Photonics4Life research group and is part of the Strategic Grouping in Materials (AEMAT). Her work includes developing Jacobi-Fourier phase masks to improve imaging systems and optimizing techniques for cataract-affected retinal imaging. She holds a doctorate in Optics GRIN and source-fiber coupling from the University of Santiago de Compostela. Key research interests include wavefront analysis, aberration mitigation, and optical-digital system design. Recent publications explore noise reduction in wavefront sensing, f-number-dependent phase mask performance, and color image optimization for medical applications. She collaborates with institutions like Boston University and the University of Brescia, contributing to interdisciplinary advancements in optics and photonics.

Jean-Michel DISCHLERمشاهده پروفایل

استاد

• Computer Graphics
• Texture Synthesis
• Procedural Modeling
• +۴ مورد دیگر

Jean-Michel Dischler is a full Professor of Computer Science at the University of Strasbourg, affiliated with the ICUBE Lab (UMR CNRS-UDS 7357). He leads rendering and visualization research activities within the Department of Computer Science at the Faculty for Mathematics and Computer Science. His academic roles include former leadership of the Computer Science department, vice-director of LSIIT Lab (until 2008), and joint-director of the 3D Computer Graphics Group in ICUBE (until 2018). He has organized major conferences like Eurographics 2014 and EGSR/HPG 2019, and chaired the Eurographics association since 2021. Research focuses on texture synthesis, procedural modeling, 3D acquisition, and high-performance graphics. Key projects include the ASTex C++ library for texture generation. His work bridges procedural and data-driven methods, addressing challenges like non-stationary textures and real-time rendering of complex materials. He has contributed to Eurographics committees, journals, and professional governance, including a decade on the EG professional board. Scientific Awards: Fellow of the Eurographics Association Grants & Projects: INRIA CALVI project (2010), ASTex library development Labs/Teams: ICUBE Lab (3D Graphics Group), former LSIIT Lab Future Work: Continued innovation in procedural texture synthesis and real-time graphics

• Abstract Algebra
• Ring Theory
• Commutative Algebra
• +۳ مورد دیگر

Nicholas Werner is an Associate Professor in the Department of Mathematics, Computer & Information Science at the State University of New York at Old Westbury, within the School of Arts and Sciences. His research focuses on abstract algebra, particularly ring theory and integer-valued polynomials, with a strong emphasis on commutative and non-commutative structures. He has published extensively on topics including null ideals of matrix rings, covering numbers of rings, and polynomial constructions over algebraic structures. Key research directions include the study of σ-elementary rings, countably coverable rings, and Fuchs' problems for group structures. His work bridges algebraic structures with number theory, exploring polynomial behaviors in modular arithmetic and quaternion rings. Recent articles (2022-2023) highlight advancements in null ideal theory and ring covering properties. No scientific awards or major grants are explicitly listed in the provided materials. His advising record remains unspecified. Research collaborations likely involve algebraic structures and matrix theory, though specific lab affiliations are not mentioned.

• Optical Engineering
• Biomedical Optics
• Wavefront Coding
• +۴ مورد دیگر

EVA MARIA ACOSTA PLAZA is a Professor of Applied Physics at the University of Santiago de Compostela, affiliated with the Faculty of Physics and the Strategic Grouping in Materials (AEMAT). Her research focuses on optical engineering, biomedical optics, and wavefront coding techniques. She leads the Photonics4Life research group, specializing in applications like retinal imaging and aberration correction. Key contributions include developing Jacobi-Fourier phase masks for improving imaging systems and enhancing retinal image clarity in cataract-affected patients. Her work integrates optical design, digital signal processing, and biomedical applications. She holds a PhD from the University of Santiago de Compostela (1990), advised by Dr. Carlos Gómez-Reino. Notable projects include interferometric lens meters for progressive addition lenses and optimized phase plate designs for color imaging. Her research bridges fundamental optics with clinical and industrial applications.

Ilias S. Kotsireasمشاهده پروفایل

استاد

• Computer Algebra
• Combinatorics
• Optimization Algorithms
• +۶ مورد دیگر

Dr. Ilias S. Kotsireas is a Professor in the Department of Computer Science and Physics at Wilfrid Laurier University (WLU), Canada. He serves as Director of the CARGO (Computer Algebra Research Group) lab and Editor-in-Chief of the Journal of Algebraic Combinatorics . His research focuses on computational mathematics, combinatorics, optimization algorithms, and symbolic computation. Kotsireas is a Fellow of the Institute of Combinatorics and its Applications (ICA, 2004) and has held leadership roles in organizations like ACM SIGSAM and the ACA Working Group. He maintains adjunct appointments at the Athena Research Center (Greece) and the University of Waterloo, and is a Principal Scientist at ORCCA (Ontario Research Centre for Computer Algebra). His work integrates computer algebra systems with SAT solvers to address complex combinatorial problems, such as Hadamard matrices and Golay pairs. Recent research explores neurosymbolic frameworks, blockchain economics, and machine learning applications in algebraic geometry. Education: Advanced degrees in Mathematics/Computer Science (not explicitly listed, inferred from roles). Research Interests: Computer algebra systems, combinatorial search, algorithm portfolios, cryptographic protocols, and computational neuroscience applications. His contributions span theoretical advancements (e.g., Legendre pair algorithms) and practical tools (e.g., Maple-based software). Kotsireas collaborates internationally, organizing conferences like ACA and publishing in venues such as Journal of Symbolic Computation and SpringerPlus . His lab, CARGO, emphasizes supercomputing and interdisciplinary projects. Awards: Fellow of the Institute of Combinatorics and its Applications (ICA), 2004 Labs & Teams: Leads the CARGO lab and affiliated with ORCCA, focusing on computational algebra and high-performance computing.

• Computational Mathematics
• Electrical Engineering
• Numerical Analysis
• +۱ مورد دیگر

Vadim Olshevsky is Professor of Mathematics at University of Connecticut, specializing in computational mathematics and structured matrix algorithms. His research bridges mathematics, electrical engineering, and computer science. He holds MS/PhD degrees from Kishinev Institute and conducted postdoctoral research at Tel Aviv University and Stanford University. Industrial collaborations include Bell Labs where he co-developed patented technologies. He serves as associate editor for Linear Algebra and Its Applications and organizes international mathematics conferences. His 2009-2010 UC3M research developed algorithms for structured matrices with applications in filtering, control systems, and orthogonal polynomials.

Craig A. Tracyمشاهده پروفایل

عضو هیئت علمی

• Mathematical Physics
• Random Matrix Theory
• Statistical Mechanics
• +۴ مورد دیگر

Craig A. Tracy is a Distinguished Professor Emeritus of Mathematics at the University of California, Davis. His primary affiliation is with the Department of Mathematics, where he has contributed extensively to mathematical physics, probability, and integrable systems. His research focuses on random matrix theory, statistical mechanics, and stochastic processes, particularly the asymmetric simple exclusion process (ASEP). He is renowned for co-developing the Tracy-Widom distribution, pivotal in random matrix theory and describing fluctuations in growth models and particle systems. Tracy's work often intersects with quantum mechanics and nonlinear equations, including studies on Bose and Fermi gases, Ising models, and Painlevé transcendents. His collaborations with Harold Widom have produced foundational results in integrable systems and their applications. His awards and honors, detailed in 'Awards.pdf', reflect his contributions to mathematical physics. He has advised numerous PhD students, many of whom now contribute to academia and industry. Tracy's research is supported by the National Science Foundation (NSF), and he maintains an active presence in lectures, courses, and publishing.

Shengding Sunمشاهده پروفایل

پژوهشگر

• Convex Geometry
• Real Algebraic Geometry
• Polynomial Optimization
• +۳ مورد دیگر

Shengding Sun is a Researcher at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, working under Prof. Hamza Fauzi. He holds a PhD in Algorithm, Combinatorics, and Optimization (ACO) from Georgia Institute of Technology, advised by Prof. Greg Blekherman and Prof. Santanu S. Dey, and a Bachelor of Science from the University of North Carolina at Chapel Hill. His research focuses on convex and real algebraic geometry, polynomial/semidefinite/discrete optimization, and their applications to quantum physics. His work bridges mathematical theory and practical algorithm design, addressing challenges in optimization under complex constraints. Key contributions include advancing hyperbolic polynomial theory, convex relaxation techniques, and applications to quantum information science. Publications span top journals like SIAM Journal of Optimization and Mathematical Programming, emphasizing optimization theory, algebraic geometry, and their intersections with physics. His current affiliations include the Cantab Capital Institute for the Mathematics of Information, reflecting his interdisciplinary interests in mathematical foundations of data science.

Tung T. Nguyenمشاهده پروفایل

استادیار مهمان

• Computational Number Theory
• Spectral Graph Theory
• Nonlinear Dynamics
• +۳ مورد دیگر

Tung T. Nguyen is a Visiting Assistant Professor of Computer Science at Lake Forest College, with a PhD in Mathematics from the University of Chicago (2020). He will transition to a tenure-track Assistant Professor position at Elmhurst University in Fall 2025. His research bridges computational number theory, spectral graph theory, and nonlinear dynamics, with recent work exploring AI-driven theorem proving. He actively mentors students, emphasizing experimental projects that merge mathematical rigor with coding. Education: PhD in Mathematics (University of Chicago, 2020) under Prof. Kazuya Kato; Postdoc at Western University (2020-2024); Undergraduate at Vietnam National University. Research focuses on Algorithms for prime number theory Applications of algebraic structures in graph theory Nonlinear oscillator networks and synchronization phenomena Key awards: 2025 SIAM Early Career Travel Award (to present work at AG25 conference) and MAA Project NExT fellowship. Organized conferences include the virtual celebration of Prof. Moshe Rosenfeld's 85th birthday. Teaching includes Probability & Statistics and independent studies on prime number algorithms. Collaborates on initiatives like the Vietnam PolyMath REU program.

Jason Gaddisمشاهده پروفایل

دانشیار

• Noncommutative Algebra
• Invariant Theory
• Representation Theory
• +۳ مورد دیگر

Jason Gaddis is an Associate Professor of Mathematics at Miami University. His research focuses on noncommutative algebra, invariant theory, and representation theory, with particular emphasis on interactions with Hopf algebras, quantum groups, and Poisson algebras. He holds a Ph.D. in Mathematics from the University of Wisconsin-Milwaukee. Education: Ph.D., Mathematics, University of Wisconsin-Milwaukee (2013) Research interests include noncommutative algebraic geometry, quantum matrix algebras, and the study of symmetry in noncommutative settings. His work explores fixed rings under Hopf algebra actions, graded Calabi-Yau algebras, and invariant theory for generalized Weyl algebras. Recent publications include studies on ozone groups of Artin-Schelter regular algebras, Hopf actions on Poisson algebras, and twisted generalized Weyl algebras. His research often bridges abstract algebraic structures with geometric and representation-theoretic perspectives. He has advised multiple graduate students on projects involving quiver representations, preprojective algebras, and quantum matrix algebras. Collaborative work includes studies on reflection groups, Poisson algebra cancellations, and Taft algebra actions.

Joshua Grochowمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Algebraic Complexity
• Group Theory
• +۳ مورد دیگر

Joshua Grochow is an Associate Professor in Computer Science at the University of Colorado Boulder, with joint appointments in Mathematics. His research spans theoretical computer science, algebraic complexity, and complex systems. Key research areas: Algebraic approaches to matrix multiplication complexity Isomorphism problems for groups/tensors/polynomials Geometric complexity theory and circuit lower bounds Network analysis and complex systems modeling Recent publications feature breakthroughs in tensor isomorphism completeness and parallel algorithms for group isomorphism. Research combines representation theory, combinatorics, and complexity theory. Awards include Omidyar and Dean's Fellowships. Leads research groups in complexity theory and complex networks. Organizes workshops on wildness in computer science.