جست‌وجوی استاد و پژوهشگر

Alejandro Sztrajmanمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Graphics
• Computer Vision
• +۳ مورد دیگر

Alejandro Sztrajman is a Researcher and Research Associate at the University of Cambridge's Department of Computer Science and Technology, affiliated with the Rainbow Group. He holds a PhD in Computer Science from University College London (UCL), supported by a Marie Curie Fellowship, and has conducted research internships at Microsoft and Adobe. His work bridges machine learning and visual computing, focusing on neural fields, generative AI, and physics-based rendering, with applications in material appearance modeling, scene illumination, and computational photography. His research spans topics like neural BRDF representations, point cloud generation via diffusion models, and interpretable time series analysis. Key contributions include LSCD (irregular time series imputation), NeuMaDiff (material synthesis via hyperdiffusion), and FrePolad (point cloud generation). He has also developed methods for HDR image deglaring and color calibration for OLED displays. Awards include the Wiley Top Cited Paper and Marie Curie Fellowship funding. His work emphasizes practical applications, with publications in top-tier venues like ECCV, CVPR, and ICML. Collaborations involve Professors Cengiz Öztireli and Rafał Mantiuk at Cambridge, and Tobias Ritschel at UCL. His research aims to advance generative AI, neural rendering, and physically grounded machine learning techniques.

Khang Tranمشاهده پروفایل

دانشیار

• Complex Analysis
• Analytic Number Theory
• Zero Distribution

Khang Tran is an Associate Professor in the Department of Mathematics at California State University, Fresno (Fresno State). He holds a Ph.D. in Mathematics from the University of Illinois at Urbana-Champaign (2006–2012) and a B.S. in Mathematics and Computer Science from Truman State University (2002–2006). His research focuses on Complex Analysis , Analytic Number Theory , and Zero Distribution , with a particular emphasis on the distribution of zeros of polynomials and entire functions generated by specific recurrence relations or generating functions. Education: Ph.D. Mathematics, University of Illinois at Urbana-Champaign, 2012 B.S. Mathematics and Computer Science, Truman State University, 2006 Research Interests: Tran’s work explores the interplay between polynomial structures and their zero distributions. He investigates generating functions, recurrence relations (e.g., three-term or four-term), and their implications for the location and behavior of polynomial roots. His studies often involve combinatorial properties, hypergeometric functions, and applications in analytic number theory. Advising & Students: Tran has mentored students such as Richard Adams (on hyperbolic polynomials) and A. Mai (on exceptional zeros of polynomials with three-term recurrence). His advising reflects a commitment to advancing research in polynomial theory and its applications. Labs/Teams: No specific lab or team affiliation is mentioned.

Sarita Nemaniمشاهده پروفایل

استاد

• Applied Mathematics
• Computational Mathematics
• Graph Theory
• +۷ مورد دیگر

Sarita Nemani is a Professor of Mathematics at Georgian Court University, affiliated with the School of Arts, Sciences, and Education and the Department of Mathematics, Computer Information Systems, and Physics. She previously served as Chair of both the Mathematics & Computer Information Systems and Physics Departments from 2013 to 2019. Doctor of Philosophy (PhD) in Mathematics, University of New Brunswick, Canada Master of Philosophy (MPhil) in Mathematics, Indian Institute of Technology Bombay Master of Science (MS) in Mathematics, University of Bombay Bachelor of Science (BS) in Mathematics, Wilson College, University of Bombay Her research focuses on perturbation methods for linear systems with special matrices (banded, circulant, Toeplitz), parallel algorithms for computational efficiency, and graph theory (interlace polynomials, vertex magic labeling). She also explores mathematical education reform and curriculum innovation. Sarita’s recent publications highlight trends in algebraic stability analysis , graph labeling techniques , and high-performance matrix computation . Her work bridges theoretical mathematics with practical algorithmic implementations. She has designed undergraduate and graduate courses in linear algebra, differential equations, abstract algebra, and graph theory. Her leadership roles include directing the 'Girl Involved in Science and Technology' program (2010–present) and moderating the Georgian Court University Math Club and New Jersey Pi Mu Epsilon chapter.

Anna De Mier Vinueمشاهده پروفایل

دانشیار

• Combinatorics
• Graph Theory
• Matroid Theory
• +۳ مورد دیگر

Anna De Mier Vinue is an Associate Professor at the Department of Mathematics, Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona (FIB). She leads research in combinatorics, graph theory, and matroid theory as part of the UPC's GAPCOMB research group (Geometric, Algebraic and Probabilistic Combinatorics). Her work focuses on structural combinatorics, polynomial invariants, and discrete geometry. Education: Holds a PhD in Applied Mathematics from UPC. Research Interests: Combinatorial enumeration, graph polynomials (Tutte, U-polynomials), matroid representations, non-crossing structures, and algorithmic combinatorics. Her contributions bridge algebraic methods with geometric and probabilistic approaches. Publications: Over 77 works including articles in Discrete Mathematics, European Journal of Combinatorics, and SIAM Journal on Discrete Mathematics. Recent research explores marked graphs, Tutte polynomial evaluations, and lattice approximations in clutter theory. Active in international projects like COCOA and R+D+I initiatives. Grants & Collaborations: Co-leads projects on extremal combinatorics, geometric algorithms, and mathematical education. Collaborates with researchers from BarcelonaTech and international institutions. Involved in initiatives addressing gender equality in STEM education through statistical analysis. Labs/Teams: Core member of the UPC's GAPCOMB group, contributing to interdisciplinary projects at the Institut de Matemàtiques de la UPC-BarcelonaTech. Supervises research in combinatorial geometry and algebraic structures.

Katharina Jochemkoمشاهده پروفایل

دانشیار

• Geometric Combinatorics
• Discrete Geometry
• Algebraic Combinatorics
• +۳ مورد دیگر

Katharina Jochemko is an Associate Professor in the Department of Mathematics at KTH Royal Institute of Technology. She holds a PhD (summa cum laude) from Freie Universität Berlin and a Diplom in Mathematics (with distinction) from LMU Munich. Her research focuses on geometric and algebraic combinatorics, discrete geometry, and the geometry of polynomials, with recent explorations into applications in artificial intelligence. She leads multiple research projects funded by prestigious organizations including the Wallenberg AI, Autonomous Systems and Software Program and the Swedish Research Council. Her academic contributions include groundbreaking work on Ehrhart polynomials, lattice polytopes, and syzygy bundles, as evidenced by her extensive publication record and the Best Paper Award 2018 from TU Wien. She actively supervises PhD students and postdocs, with current advisees including Jon Pål Hamre and Aryaman Jal. She serves as an associate editor for Beiträge zur Algebra und Geometrie and represents the Swedish Mathematical Society at institutional levels. Her teaching includes advanced courses in enumerative combinatorics and graph theory at KTH. She co-organizes international research initiatives like the Polytopes and Friends conference and the MaP-Trop seminar series on matroids and tropical geometry. Her research spans foundational work in geometric combinatorics with interdisciplinary applications.

Yevgeny Kazakovمشاهده پروفایل

پژوهشگر ارشد

• Knowledge Representation
• Automated Reasoning
• Description Logics
• +۵ مورد دیگر

Dr. Yevgeny Kazakov is a Research Fellow at the University of Ulm's Institute of Artificial Intelligence. His work focuses on knowledge representation, automated reasoning, and ontology engineering, particularly in Description Logics and OWL. He has contributed to systems like ELK and ConDOR, emphasizing algorithm optimization and practical reasoning solutions. Education: No formal education details explicitly mentioned in the text. Research Interests: Kazakov's research centers on reasoning support for Description Logics, ontology languages (e.g., OWL), and modular integration of ontologies. He explores theoretical properties and practical implementations, including consequence-based reasoning, modularity, and algorithmic efficiency. His work also addresses challenges like SPARQL query optimization over OWL ontologies and incremental reasoning. Professional Activities: Kazakov has held roles such as General Co-chair of the Description Logic Workshop (2013), Guest Editor of the JAIR special track on Description Logics, and PC member for conferences like KR, IJCAI, and ECAI. He has reviewed for top journals and conferences, contributing to the field's academic rigor. Teaching: Recent courses include Cognitive Systems 2, Explainable AI, and Knowledge-Based AI at the University of Ulm. He also supervises projects in automated reasoning. Grants & Projects: Led the DFG-funded 'Live Ontologies' project (2012–2017). Co-investigated EPSRC-funded projects like ConDOR (2009–2011) and REOL (2005–2008). These projects focused on ontology reasoning systems and modular integration. Students: Advised Trung-Kien Tran (since 2012, with Birte Glimm) and František Simančík (2009–2013, with Ian Horrocks). Labs/Teams: Active in the Institute of Artificial Intelligence, collaborating on systems like ELK and ConDOR. His research group develops tools for efficient ontology reasoning and knowledge representation.

Yiming Xuمشاهده پروفایل

استادیار

• Mathematics of Data Science
• Random Sampling and Approximation
• Statistical Ranking
• +۳ مورد دیگر

Yiming Xu is an Assistant Professor in the Department of Mathematics at the University of Kentucky. He holds a Ph.D. from the University of Utah, completed a postdoc at the University of Waterloo, and worked as a Quantitative Analyst at Wells Fargo Bank. His research focuses on the mathematics of data science, including random sampling, statistical ranking, optimization-based uncertainty quantification, and multifidelity methods. Xu emphasizes problem-driven innovation and collaborates across disciplines. Education: Ph.D. in Mathematics, University of Utah, 2022 Postdoctoral Fellowship, University of Waterloo Quantitative Analyst, Wells Fargo Bank Research interests span computational statistics, numerical analysis, and machine learning applications. His work bridges theoretical foundations and practical data-driven problems, often integrating optimization and probabilistic techniques. Recent contributions include advancements in gradient descent for network analysis, multifidelity distribution estimation, and archetypal analysis using optimal transport. Publications reflect a trajectory in stochastic methods, statistical learning, and computational mathematics, with applications in PDE solvers and uncertainty quantification. Awards: None explicitly listed. Advising and grants: Actively seeks motivated students for collaborative projects. Teaching includes courses on matrix theory, data science, and numerical methods.

Peter Symondsمشاهده پروفایل

استاد

• Algebra
• Geometry
• Group Theory
• +۵ مورد دیگر

Peter Symonds is a Professor of Mathematics at the University of Manchester's School of Mathematics. His research focuses on the intersection of algebra and geometry, particularly involving group actions, representation theory, and cohomology. He actively supervises postgraduate students, including Matthew Antrobus, Jiacheng Tang, and Greg Kendall. His work explores stable categories for infinite groups, group actions on rings and varieties, and cohomological properties of profinite groups. He contributes to academic communities through participation in the Manchester Algebra Seminar, Manchester Geometry, Topology, and Mathematical Physics Seminar, and the Transpennine Topology Triangle (TTT). His research has been published in leading journals such as the Journal of the American Mathematical Society and Advances in Mathematics. Peter's advising spans over two decades, with notable alumni including Rudradip Biswas (PhD 2021) and John MacQuarrie (PhD 2009). His research emphasizes theoretical frameworks with applications in algebraic geometry and representation theory.

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

Prof. Dusan M. Milosevic is a Full Professor at the Department of Mathematics within the Faculty of Electronic Engineering of the University of Niš, Serbia. He holds a PhD in Mathematics from the Faculty of Natural Sciences and Mathematics in Niš (2005), a Master's degree in Mathematics from the Faculty of Electronic Engineering (1992), and a Bachelor's degree in Computer Engineering from the same institution (1988). His academic career includes significant contributions to computational mathematics, numerical methods, and interdisciplinary applications in renewable energy and environmental modeling. Research interests span numerical analysis of polynomial zeros, fuzzy logic systems, and sustainable development strategies. He has authored/co-authored over 33 papers in impact-factor journals and multiple textbooks, including "Numerical Solution of Nonlinear Equations" and "Mathematics 4" . Current research focuses on energy projects, smart city modeling, and industrial building reuse. He participates in one national and international research projects. His work bridges theoretical mathematics with practical applications, evident in studies like spectral reflectance modeling for agriculture and adjustable models for renewable energy systems in Serbia. Academic leadership includes textbook development for engineering education and contributions to validated numerical computations.

Mirjana T. Perićمشاهده پروفایل

دانشیار

• Theoretical Electrical Engineering
• Electromagnetics
• Computational Electromagnetic Methods
• +۳ مورد دیگر

Mirjana T. Perić is an Associate Professor at the Faculty of Electronics in Niš, University of Niš, within the Department of Theoretical Electrical Engineering. She has held this position since 2022, having previously served as an Assistant Professor since 2006. Her academic career includes a PhD (2015) and graduation (2006) from the same faculty, specializing in Theoretical Electrical Engineering. Her research focuses on computational electromagnetics, boundary element methods, electromagnetic field analysis, and dielectric material interactions. Notable contributions include work on stripline configurations, hybrid boundary element methods, and optimization of homogeneous field systems. She has published extensively in journals like ACES Journal , Electromagnetics , and International Journal of Applied Electromagnetics and Mechanics . Prof. Perić is a member of IEEE and ACES, and holds proficiency in English, French, and German. She has participated in national and international research projects, with active involvement in one ongoing national and one international project as of the text's date.

Adelina MANEAمشاهده پروفایل

مدرس

• Differential Geometry
• Riemannian Geometry
• Mathematical Education
• +۳ مورد دیگر

Adelina MANEA is a Lecturer at the Department of Mathematics and Informatics, Faculty of Mathematics and Computer Science, Transilvania University of Brașov. Her research focuses on differential geometry, particularly metallic Riemannian structures, gauge theory on contact metric manifolds, and geometric structures on tangent bundles. She also investigates mathematics education, including training methods for Olympic students and student profiling in mathematics competitions. Her work spans theoretical and applied aspects of geometry with interdisciplinary connections to mathematical physics and number theory. Research interests prominently feature differential geometry with a focus on Riemannian manifolds, para-Norden structures, and geometric integrability. She explores both pure mathematical topics like cohomology groups and foliation theory, as well as applied areas such as harmonic numbers and integer sequences. Her educational publications address pedagogical strategies for high-achieving students in mathematics competitions. Publications span diverse geometric topics including metallic structures, contact metric manifolds, and jet bundle theory. Over 20 articles since 2001 reflect sustained contributions to geometry and education. No scientific awards are mentioned. Adelina MANEA’s advising and grant activities remain unspecified in available records. She is affiliated with the Department of Mathematics and Informatics at Transilvania University, contributing to both research and teaching responsibilities.

Bagkavos Dimitriosمشاهده پروفایل

دانشیار

• Mathematical Statistics
• Survival Analysis
• Probability Theory Applications
• +۷ مورد دیگر

Bagkavos Dimitrios is an Associate Professor in the Department of Mathematics at the School of Science, University of Ioannina. His research focuses on Mathematical Statistics, Survival Analysis, and Probability Theory Applications, with expertise in nonparametric estimation, statistical inference, and kernel methods. He holds a B.Sc. in Mathematics from the University of Ioannina and an M.Sc. in Mathematics (Statistics) from the University of Birmingham, UK. His work emphasizes hypothesis testing, computational statistics, and applications of martingales and Edgeworth expansions. He has developed R packages such as NPHazardRate and asymmetry.measures , and his research has been published in top journals like Journal of Multivariate Analysis and Computational Statistics and Data Analysis . He actively contributes to the academic community by refereeing for journals including Test , Journal of Statistical Planning and Inference , and Communications in Statistics .

Laura Nicole Silversteinمشاهده پروفایل

استادیار

• Convex Geometry
• Discrete Geometry
• Ehrhart Theory
• +۱ مورد دیگر

Laura Nicole Silverstein is an Assistant Teaching Professor in the Department of Mathematics at Rutgers University. Her research explores convex and discrete geometry, focusing on tensor valuations in Ehrhart theory and combinatorial aspects of algebraic statistics. She has taught courses including Elementary Mathematics from an Advanced Standpoint, Precalculus, and Discrete Mathematics at institutions like Brooklyn College and NYU. Recent publications advance tensor polynomial theories applicable to lattice polytopes. Her scholarly activities include invited presentations at Joint Mathematics Meetings and international conferences on geometric combinatorics. Research stays include collaborations at TU Berlin on discrete geometry problems.

Emanuele Delucchiمشاهده پروفایل

استاد

• Combinatorics
• Algebraic Topology
• Discrete Mathematics
• +۳ مورد دیگر

Emanuele Delucchi is a Professor of Discrete Mathematics at the Department of Innovative Technologies (DTI) of the Scuola Universitaria Professionale della Svizzera Italiana (SUPSI) . He holds a Diploma and Ph.D. in Mathematics from ETH Zurich (2003, 2006) and a Habilitation from Universität Bremen (2011). His academic career includes roles as a Visiting Assistant Professor at SUNY Binghamton (2008–2010), Akademischer Rat at Universität Bremen (2010–2014), and SNSF-Professor at the University of Fribourg (2014–2021). He is an Abilitazione Scientifica Nazionale Italiana as Professore Ordinario (2020) and a member of the Istituto di Studi Avanzati at Bologna University (2019). Delucchi's research focuses on combinatorics, algebraic topology, and discrete mathematics , with emphasis on hyperplane arrangements, matroid theory, and Cohen-Macaulay complexes. He has advised three doctoral students (Sonja Riedel, Elia Saìni, Linard Hoessly) and served as a relator for 14 master’s/diploma and 10 bachelor’s theses. His teaching responsibilities include courses such as Analysis 1 , Discrete Mathematics , and Calculus 1 . His work bridges combinatorial structures with algebraic and geometric methods, contributing to the study of Stanley–Reisner rings, symmetric simplicial complexes, and toric/elliptic arrangements. Key awards include the Abilitazione Scientifica Nazionale and membership at Bologna’s Istituto di Studi Avanzati. His research spans topics like symmetric edge polytopes , group actions on semimatroids , and Cohen-Macaulay properties of combinatorial complexes.

Esty Kelmanمشاهده پروفایل

پژوهشگر ارشد

• Theoretical Computer Science
• Computational Complexity
• Probabilistically Checkable Proofs
• +۲ مورد دیگر

Esty Kelman is a Research Fellow jointly affiliated with the Massachusetts Institute of Technology (CSAIL) and Boston University, working in theoretical computer science. Her research focuses on computational complexity, sublinear algorithms, property testing, and Boolean function analysis. She was previously a PhD student at Tel Aviv University advised by Muli Safra and participated in the Simons Institute's Causality program at UC Berkeley. Her work has been recognized through the Simons Research Fellowship. Research interests span probabilistically checkable proofs, combinatorics, and adversarial models in algorithm design. Publications demonstrate consistent focus on theoretical computer science foundations, with recent advances in property testing methods and combinatorial mathematics. Collaborative work frequently appears in top venues including FOCS, ITCS, and SODA.