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• Quantum Mathematics
• Mathematical Physics
• Theoretical Computer Science
• +2 more

Nadia Ott is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark, specializing in Quantum Mathematics. She is actively contributing to research at the intersection of mathematics and quantum theory within the Faculty of Science. Her research interests lie primarily in Quantum Mathematics , with strong emphasis on Mathematical Physics , Algebraic Geometry , and Topological Quantum Field Theory . Her work explores the deep mathematical structures underlying quantum systems, drawing from advanced topics in pure mathematics and theoretical physics. The available information does not include recent publications; therefore, no article trends can be identified at this time. Nadia Ott has not been mentioned as receiving any scientific awards or honors in the provided text. There is no information available regarding graduate student supervision, research grants, or advising activities. Similarly, no details about specific laboratories, research teams, or collaborative groups have been provided in the source material.

• Algebraic Topology
• Category Theory
• Lie Groups
• +3 more

Halvard Fausk is an Associate Professor at Oslo Metropolitan University, affiliated with the Faculty of Technology, Art and Design and the Department of Computer Science, specifically the Mathematical Modelling group. His research focuses on algebraic topology, category theory, and homotopy theory. His work includes foundational studies on equivariant homotopy theory for pro-spectra and pro-finite groups, induction theorems for compact Lie groups, and explorations of adjoint isomorphisms. Publications span journals like Geometry and Topology , Transactions of the American Mathematical Society , and Homology, Homotopy and Applications . He has co-authored key textbooks such as Lineær Algebra (2024) and Mattenøkkelen (2014), targeting undergraduate education. His recent research trends emphasize algebraic structures in topology, while historical work includes contributions to model categories and topological group theory.

• Number Theory
• Automorphic Forms
• Representation Theory
• +3 more

Jennifer Johnson-Leung serves as Professor in the Department of Mathematics and Statistical Science within the College of Science at the University of Idaho, with additional affiliation as Participating Faculty at the Institute for Modeling Collaboration and Innovation under the Office of Research and Economic Development. Her academic credentials include: PhD in Mathematics from the California Institute of Technology (2005) BS in Chemistry and Mathematics from the College of William and Mary (1998) Professor Johnson-Leung maintains a dual research focus bridging pure mathematics and applied epidemiology. In theoretical mathematics, she investigates Siegel modular forms, paramodular forms, Hecke algebras, and representation theory, advancing understanding of automorphic forms and their connections to algebraic geometry. Her applied work develops spatial statistical models for sociodemographic risk assessment in public health crises, particularly during the COVID-19 pandemic, utilizing techniques like elastic net regression to analyze vaccination behavior and mortality patterns. Analysis of her recent publications reveals equal emphasis on deep theoretical number theory problems and urgent public health applications. The mathematical works explore structural properties of modular forms and representation theory, while epidemiological studies dissect complex interactions between political ideology, social vulnerability, and pandemic outcomes across U.S. populations. No specific scientific awards were documented in the provided materials. Information regarding graduate student advising and research grant funding remains unspecified in the available documentation. No dedicated research laboratories or specialized collaborative teams were mentioned in the source materials.

Sameer DeshpandeView profile

Assistant Professor

• Bayesian hierarchical modeling
• Bayesian regression trees
• Causal inference
• +3 more

Sameer Deshpande is an Assistant Professor in the Department of Statistics at the University of Wisconsin–Madison. His research bridges Bayesian methodology development with applications in public health and sports analytics. Prior to joining UW–Madison, he completed a postdoctoral fellowship with Professor Tamara Broderick at MIT and earned his Ph.D. in Statistics from the Wharton School under Professors Ed George and Veronika Rockova. His educational background includes undergraduate studies in mathematics at MIT and a year at Jesus College, Cambridge through the Cambridge-MIT Exchange program. His research focuses on advancing Bayesian hierarchical modeling, treed regression, and causal inference techniques, with particular emphasis on flexible tree-based methods like BART variants for complex data structures. Deshpande's recent publications reveal a strong trend toward developing scalable Bayesian methods for high-dimensional data while maintaining rigorous uncertainty quantification. His work frequently applies these techniques to sports analytics (particularly baseball and football) and public health studies examining long-term effects of adolescent sports participation. The consistent focus on methodological innovation paired with substantive applications demonstrates his dual commitment to statistical theory and real-world impact. He actively mentors graduate students at UW–Madison, requiring STAT 775 as preparation for research collaboration. His Deshpande Lab focuses on Bayesian computation and causal inference, though specific grant details are not publicly listed. Notable projects include the NFL Big Data Bowl submission analyzing quarterback decision-making using Expected Hypothetical Completion Probability. Outside academia, Deshpande maintains interests in cooking, cocktail making, and photography, while remaining a devoted fan of Dallas sports teams – often seen wearing a Texas belt buckle.

Ming GuView profile

Professor

• Numerical Linear Algebra
• Scientific Computing
• Matrix Computations
• +3 more

Ming Gu is a Professor in the Department of Mathematics at the University of California, Berkeley . He specializes in Numerical Linear Algebra and Scientific Computing , with a focus on developing efficient algorithms for structured matrices and large-scale data analysis. Organized Matrix Computations and Scientific Computing Seminars (2009-2017) Published 15+ papers on QR algorithms , Toeplitz matrices , randomized algorithms , and low-rank approximations His research addresses rank-revealing factorizations , randomized subspace iteration , and preconditioning techniques , often bridging numerical analysis with applications in machine learning and optimization . Students advised by him (e.g., Jiaming Wang, Onyebuchi Ekenta) have explored spectrum-revealing CUR decomposition and truncated SVD . Contact: mgu@math.berkeley.edu Office: 861 Evans Hall, UC Berkeley

• Combinatorics
• Matroid theory
• Tropical geometry
• +1 more

Dr. Felipe Rincón is a Senior Lecturer in Algebra at Queen Mary University of London, affiliated with the School of Mathematical Sciences and the Centre for Combinatorics, Algebra and Number Theory. He works at the intersection of combinatorics, tropical geometry, and algebraic geometry, focusing on matroid theory and its connections to tropical geometry. Research Interests Combinatorics Matroid theory Tropical geometry Algebraic geometry His research explores how combinatorial structures like matroids influence geometric and algebraic objects, particularly through tropicalization. Key topics include tropical ideals, moduli spaces, and applications to compressed sensing. Recent Publication Trends Dr. Rincón’s work bridges abstract combinatorics (e.g., matroid subdivisions, positroids) with applied fields (e.g., signal processing). He investigates tropicalization of algebraic varieties, CSM cycles, and the balance properties of tropical ideals. Advising and Grants He advises PhD students Benjamain Dobres, Samuel-Louis Gardiner, and Xiaoan Yang, and leads the EPSRC-funded project Matroids in tropical geometry (2021-2023, £210,270). Labs and Teams Dr. Rincón is a core member of Queen Mary’s Combinatorial Algebraic Geometry Research Group and the Centre for Combinatorics, Algebra and Number Theory, collaborating on international programs like the Barcelona CRM Intensive Research Program (2026).

• Representation Theory
• Quantum Groups
• R-matrices
• +3 more

Ryo Fujita serves as an Assistant Professor at the Research Institute for Mathematical Sciences (RIMS), Kyoto University, a position he has held since April 2021. His research focuses on the representation theory of algebras arising from simple Lie algebras or their root systems, including quantum groups and Hecke algebras. Fujita's work particularly examines the structure of module categories and related geometric objects, with significant contributions to the theory of affine quantum groups, quiver varieties, R-matrices, and quantum Grothendieck rings. His educational journey at Kyoto University spans from undergraduate studies (2010-2014) to doctoral degree (awarded in March 2019). The key milestones include: Bachelor of Science, Faculty of Science, Kyoto University (2010-2014) Master of Science, Graduate School of Science, Division of Mathematics, Kyoto University (2014-2016) Doctor of Science, Graduate School of Science, Division of Mathematics, Kyoto University (2016-2019) Fujita's research interests lie at the intersection of algebra, geometry, and representation theory. He specializes in quantum groups, R-matrices, quiver varieties, and cluster algebras, with a focus on affine quantum groups. His investigations into the module categories of these algebras have uncovered deep connections to geometric representation theory and categorification. Fujita's work often bridges abstract algebraic structures with combinatorial and geometric frameworks, advancing the understanding of quantum symmetries and their applications. Analysis of Fujita's publications from 2018 to 2024 reveals a cohesive research trajectory centered on quantum affine algebras and related structures. His work consistently explores deformed Cartan matrices, generalized preprojective algebras, quantum Grothendieck rings, and the singularities of R-matrices. A notable trend is the interplay between algebraic representation theory and geometric constructions like quiver varieties, often mediated by cluster algebra structures. This approach has led to significant advances in understanding the categorical and combinatorial aspects of quantum group representations. Fujita currently leads a Grant-in-Aid for Early-Career Scientists (2023-2026) titled "Study on the representations of affine quantum groups using quivers with potentials". He is also a key participant in a major Grant-in-Aid for Scientific Research (S) project (2021-2026) on "Representation theory of vertex algebras for the 21st century". Previously, he held a JSPS Research Fellowship (2018-2020) supporting his foundational work on quantum affine algebras. Based at RIMS, Kyoto University, Fujita is embedded in one of Japan's premier mathematical research environments. He collaborates closely with mathematicians including Kota Murakami and Hironori Oya, as evidenced by joint publications. His research group and collaborations extend internationally, with presentations at institutions worldwide, reflecting the global impact of his work in representation theory.

• complex differential geometry
• Monge-Ampère type equations
• infinite dimensional geometries
• +3 more

Tamás Darvas is a Professor in the Department of Mathematics at the University of Maryland, College Park. He maintains an active research program in complex differential geometry and serves as a key organizer of the Informal Geometric Analysis Seminar, which provides a forum for researchers and graduate students interested in geometric analysis across multiple academic years from 2015 through 2024. Professor Darvas's research focuses on complex differential geometry, Monge-Ampère type equations, and infinite dimensional geometries. His work explores the deep connections between geometric analysis, pluripotential theory, and complex Monge-Ampère equations. He has made significant contributions to understanding the metric geometry of spaces of Kähler metrics, particularly in big cohomology classes, developing important results related to twisted Kähler-Einstein metrics and the structure of singularity types. His research often bridges abstract mathematical theory with concrete geometric problems. Analysis of Darvas's publication record reveals a consistent focus on the interplay between complex geometry, pluripotential theory, and metric geometry. His most recent works examine lines in Kähler metric spaces, transcendental approaches to non-Archimedean metrics, and the Hausdorff distance on toric singularity types. A notable trend in his research is the extension of classical results from Kähler geometry to more general settings, particularly when working with big cohomology classes rather than just Kähler classes, as demonstrated in his significant 2024 paper establishing a uniform Yau-Tian-Donaldson existence theorem for Kähler-Einstein metrics. Professor Darvas is actively engaged with the mathematical community, co-organizing the thematic semester "Analysis and geometry on complex manifolds" in Budapest for August-December 2025. While specific grant information isn't provided in the available texts, his extensive publication record across top journals indicates ongoing research support. Through the Informal Geometric Analysis Seminar he helps organize, he provides mentorship opportunities for graduate students interested in geometric analysis, creating an environment where students of all levels are encouraged to attend and participate in discussions.

Cheng HuangView profile

Assistant Professor

• Computational Fluid Dynamics
• Aerospace Propulsion
• Data-driven Modeling
• +3 more

Cheng Huang is an Assistant Professor in the Department of Aerospace Engineering at the University of Kansas. His research focuses on computational fluid dynamics, aerospace propulsion, turbulent combustion modeling, and reduced-order modeling techniques. He is affiliated with the Computational AeroPropulsion Laboratory and can be contacted at chenghuang@ku.edu. Education: B.S. from Shanghai Jiaotong University M.S. and Ph.D. from Purdue University Research Interests: LES Modeling of Turbulent Reacting Flows Data-Driven and Reduced-Order Modeling of Complex Fluid Flows Combustion Instability Analysis in Aerospace Propulsion Recent Work Trends: His publications emphasize reduced-order modeling techniques for rocket combustion dynamics, rotating detonation engines, and multiscale fluid systems. Key methodologies include projection-based models, data-driven approaches, and nonlinear approximations of latent dynamics.

Rameshwar PratapView profile

Associate Professor

• Algorithms in Machine Learning
• Theoretical Computer Science
• Sketching and Dimensionality Reduction
• +5 more

Rameshwar Pratap is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Hyderabad (IIT Hyderabad). Previously, he served as an Assistant Professor at the School of Computing and Electrical Engineering, IIT Mandi for three years. Education: Ph.D. in Theoretical Computer Science, Chennai Mathematical Institute Research Interests: His research lies at the intersection of theory and practice, focusing on extremely simple yet practical approximation algorithms with provable guarantees . Key themes include: Sketching and dimensionality reduction algorithms for tensors and similarity measures Improving speed, scalability, and accuracy of existing sketching methods Applications in machine learning: node embedding in large-scale networks, itemset mining, model compression He extensively employs techniques from matrix and tensor algebra, sampling, random projection, and randomized hashing . Publications Overview: Across 2021–2025 his work has appeared in top venues such as IEEE Globecom, Theoretical Computer Science, Acta Informatica, Information Processing Letters, Algorithmica, UAI, ICALP, Machine Learning, TKDE, and ACML. Recurring themes are randomized sketching, locality-sensitive hashing, compressed matrix multiplication, variance reduction, and subspace approximation , demonstrating both theoretical depth and practical impact. Awards & Honors: Early Career Research Grant (PM-ECRG) 2025, Anusandhan National Research Foundation (ANRF) Best Paper Award, COCOON 2020 Students & Funding: First Ph.D. student: Bhisham Dev Verma (co-advised with Prof. Manoj Thakur) graduated June 2025 MS by Research student: Punit Pankaj Dubey graduated October 2022 Currently hiring 1 Junior Research Fellow for the PM-ECRG project “Improving Similarity Search in Practice” Labs & Teams: Works within the Algorithms & Theory group at IIT Hyderabad, collaborating with national and international researchers. Erdös number is 3.

• Theoretical Physics
• Cosmology
• String Theory
• +3 more

Professor Ivo Sachs is a distinguished theoretical physicist at the Ludwig-Maximilians-Universität München (LMU), where he holds a position at the Arnold Sommerfeld Center for Theoretical Physics with a Chair on Cosmology. His research spans multiple areas of theoretical physics with a particular focus on string theory, quantum field theory, and cosmological applications. He maintains an active research program with numerous recent publications in prestigious journals. Professor Sachs' research interests center around fundamental theoretical physics, with significant contributions to string field theory, cosmological perturbation theory, and the mathematical structures underlying quantum gravity. His work often bridges abstract mathematical concepts with physical applications, particularly in understanding the early universe and quantum aspects of gravity. He has developed innovative approaches to studying cosmological correlators, spinning particles, and the relationship between quantum field theory and gravitational physics. Analysis of his recent publications reveals a strong focus on the intersection of cosmology and string theory, with particular attention to mathematical structures in quantum gravity. His work demonstrates consistent exploration of how quantum field theory techniques can be applied to cosmological problems, especially regarding correlation functions in the early universe. He frequently collaborates with researchers across Europe, indicating an active international research network. Martín Enríquez Rojo (PhD, 2022): Asymptotic symmetries in FLRW and deformations of gravitational symmetry algebras

• Algebraic Geometry
• Moduli Spaces
• Hodge Theory
• +3 more

Alexis Kouvidakis is a Professor at the Department of Mathematics and Applied Mathematics within the School of Sciences and Engineering at the University of Crete . His research focuses on Algebraic Geometry , particularly in areas such as divisors, moduli spaces, Hodge theory, and the geometry of cubic hypersurfaces. He has published extensively on symmetric products of curves, Hurwitz spaces, and Fano surfaces, with recent work exploring effective divisors on projectivized Hodge bundles and geometric properties of cubic fourfolds. His email address is kouvid@uoc.gr . The trends in his publications reflect a deep engagement with geometric structures in algebraic varieties. His work spans topics like Modular Forms in Hodge bundles, Monodromy in cubic threefolds, and Divisorial Loci in Hurwitz spaces. He has also contributed to applied mathematics through research in Medical Physics , including dosimetry modeling for ophthalmic brachytherapy.

Theodoulos GarefalakisView profile

Professor

• Finite Field Theory
• Algorithmic Number Theory
• Cryptography
• +1 more

Theodoulos Garefalakis is a Professor at the University of Crete , affiliated with the School of Theoretical Mathematics and the Department of Applied Mathematics . His research spans foundational and applied mathematics, focusing on finite fields and algorithmic number theory. Education: PhD, University of Toronto (2000) Research Interests include: Finite Field Theory (algebraic structures, arithmetic algorithms) Algorithmic Number Theory (computational methods, integer factorization) Cryptography (security protocols, encryption schemes) Coding Theory (error-correcting codes, data transmission)

• Special functions
• Fractional calculus
• Mathematical Physics
• +2 more

Praveen Agarwal is a Professor of Mathematics at the Department of Mathematics, International College of Engineering, located near Kanota, Agra Road, Jaipur-303012, Rajasthan, India. He also maintains a significant affiliation with the Lepage Research Institute in Slovakia. His academic profile demonstrates a strong international presence with collaborations spanning multiple continents. Dr. Agarwal's research expertise centers on Special functions , Fractional calculus , and Mathematical Physics . His work in fractional calculus represents cutting-edge contributions to this specialized mathematical field, developing theoretical frameworks with applications across diverse scientific disciplines. His research in special functions has led to numerous extensions and generalizations of classical mathematical constructs, creating innovative tools for solving complex differential equations. In mathematical physics, he applies rigorous analytical techniques to model physical phenomena, particularly those involving wave propagation, diffusion processes, and energy systems. Analysis of Dr. Agarwal's extensive publication record reveals a sophisticated approach to fractional-order differential equations with applications spanning viscoelastic wave behavior, neural networks, energy storage systems, and biomedical engineering. He frequently develops novel mathematical methods, including specialized integral transforms and polynomial-based solution techniques, to address complex nonlinear systems. His research consistently bridges pure mathematical theory with practical engineering applications, particularly in areas requiring precise modeling of memory effects and non-local phenomena. The interdisciplinary nature of his work is evident in publications addressing both theoretical mathematics and practical engineering challenges. Dr. Agarwal maintains active research collaborations with prestigious institutions worldwide, including The Union of Czech Mathematicians and Physicists, University of Prešov in Prešov, Eötvös Loránd University, Italian Society for General Relativity and Gravitation, Transilvania University of Brasov, VŠB-TU Ostrava, and Lodz University of Technology. These international partnerships reflect the global recognition of his contributions to mathematical sciences and demonstrate his ability to work across disciplinary boundaries to solve complex problems.

Heather MillerView profile

Assistant Professor

• Distributed Systems
• Concurrent Programming
• Programming Languages
• +4 more

Heather Miller is a tenure-track Assistant Professor in the Software and Societal Systems Department within Carnegie Mellon University's School of Computer Science. Her academic journey includes prior roles as an Assistant Clinical Professor at Northeastern University's College of Computer and Information Science and as Executive Director of the Scala Center at EPFL. Miller's research centers on distributed and concurrent computation through the lens of programming languages, with particular emphasis on data-centric systems, big data processing, and edge computing. A defining theme throughout her work is composability - enabling construction of complex distributed systems through composition of components that are correct by construction. Her projects span distributable closures, flexible serialization techniques, futures and promises for asynchronous programming, and deterministic concurrent dataflow models. Her recent publications demonstrate strong trends in applying programming language theory to practical distributed systems challenges, with increasing focus on WebAssembly instrumentation, microservice resilience, and language model pipelines. This evolution reflects her commitment to bridging theoretical foundations with real-world system requirements. Dahl-Nygaard Junior Prize (2023) Mentorship forms a significant component of Miller's academic work. She actively supervises multiple PhD, MS, and undergraduate researchers at CMU, including Christopher Meiklejohn, Matthew Weidner, Huairui Qui, Ria Pradeep, and Luke Dramko. Her service contributions span numerous top-tier conferences including PLDI, SPLASH, ECOOP, and ICSE where she has served as committee member, chair, and keynote speaker. Miller co-founded the Curry On conference to foster industry-academia dialogue, hosting successful editions in Prague, Rome, Barcelona, Amsterdam, and London. She leads research groups focused on distributed programming models and maintains strong industry connections through Two Sigma, where she holds an affiliation. Her work consistently emphasizes practical open-source implementations, primarily within the Scala ecosystem where she's been a core contributor since 2011.