جست‌وجوی استاد و پژوهشگر

Sean O'Rourkeمشاهده پروفایل

دانشیار

• Probability
• Random Matrix Theory
• Random Polynomials

Sean O'Rourke is an Associate Professor in the Department of Mathematics at the University of Colorado Boulder. His research focuses on probability, random matrix theory, and random polynomials. He has organized multiple workshops and minisymposia, including events at the Canadian Discrete and Algorithmic Mathematics Conference (CanaDAM) and ICERM, demonstrating his active role in academic community engagement. His research spans spectral properties of random matrices (e.g., singular values, elliptic matrices, Laplacian matrices), probabilistic behavior of polynomial roots under operations like differentiation and summation, and applications of free probability theory. Recent work includes universal behavior in eigenvalue gaps, non-Hermitian matrix controllability, and asymptotic refinements of classical theorems for random polynomials. Publications highlight collaborations with researchers such as Andrew Campbell, Kyle Luh, David Renfrew, and Van Vu. His work appears in leading journals like Annals of Probability , Electronic Journal of Probability , and Transactions of the American Mathematical Society , covering topics from Gaussian fluctuations to low-rank perturbations and noncommutative harmonic analysis.

Ovidiu Costinمشاهده پروفایل

استاد

• Mathematical Physics
• Differential Equations
• Asymptotics
• +۷ مورد دیگر

Ovidiu Costin is a Professor of Mathematics at The Ohio State University's Department of Mathematics, College of Arts and Sciences. His research focuses on mathematical physics, differential equations, asymptotics, and resurgence theory. He holds a PhD from Rutgers University (1995) and has authored numerous influential papers on topics such as Borel summability, Painlevé equations, and quantum dynamics. Education: PhD in Mathematics from Rutgers University, awarded in 1995. Research Interests: Resurgence theory, asymptotic analysis, integrable systems, spectral theory, and complex dynamics. His work bridges pure and applied mathematics, with applications in quantum mechanics and nonlinear dynamics. His recent articles explore non-perturbative solutions of Schrödinger equations, Borel summability in PDEs, and the analysis of singularities in nonlinear systems. Notable contributions include the proof of the Dubrovin conjecture and foundational work on transseries and surreal numbers. Scientific Awards: Recipient of the Guggenheim Fellowship. His research has been supported by NSF grants, including DMS-0103807, DMS-1515755, and others. Teaching: He teaches advanced courses in real and complex analysis, functional analysis, and applied mathematics. Office: Math Tower 404; email: costin.9@osu.edu.

Colin Ramsayمشاهده پروفایل

استاد

• Risk Theory
• Pensions
• Health and Disability Insurance
• +۵ مورد دیگر

Colin M. Ramsay is a Professor in the Department of Finance at the Edwin J. Faulkner College of Business, University of Nebraska-Lincoln. His expertise lies in actuarial science, focusing on risk theory, pensions, health and disability insurance, and micro-insurance applications. B.Sc., City University, London M.Math. and Ph.D., University of Waterloo Ramsay’s research integrates economic principles into actuarial science, addressing challenges like the annuity puzzle, moral hazard, and adverse selection in insurance markets. He also explores peer-to-peer insurance and food security in developing regions. Recent publications highlight innovative annuity designs, LTC funding strategies, and stochastic modeling of insurance risks. His work spans theoretical advancements in ruin probability calculations and practical applications in funeral insurance and agricultural sustainability in the Caribbean. Ramsay teaches graduate and undergraduate courses in life contingencies and pension mathematics, emphasizing probabilistic models and actuarial assumptions.

Alex Baldwinمشاهده پروفایل

استادیار

• Computational Neuroscience
• Visual Psychophysics
• Binocular Vision
• +۶ مورد دیگر

Alex Baldwin is an Assistant Professor at McGill University within the Department of Ophthalmology & Visual Sciences. He serves as a Junior Scientist in the Brain Repair and Integrative Neuroscience (BRaIN) program at the Research Institute of the McGill University Health Centre. Supervisor in McGill's Integrated Program in Neuroscience (IPN) Supervisor in Quantitative Life Sciences program Laboratory located at Montreal General Hospital Research focuses span computational neuroscience, visual psychophysics, and binocular vision mechanisms , particularly examining: Amblyopia and spatial scrambling Aging-related changes in stereopsis Visual noise adaptation Contrast summation models Contour integration processes Digital therapeutic development His lab employs Matlab/Octave (Psychtoolbox), Python (PsychoPy), and Unity/C# for experimental design, with Python (Jupyter) and Matlab (Palamedes Toolbox) for data analysis. Collaborations include Wenzhou Medical University. Scientific recognition includes: NSERC Discovery Grant (2022-2027) HBHL Ignite Funding FRQ-S Vision Health Research Network Pilot Training opportunities available for undergraduate (PSYC-396/COGS-444/COGS-401) and graduate students , with current advisees working on topics including: Visual snow syndrome neural mechanisms Binocular imbalance in aging Contour integration modeling Adaptive strategies in amblyopia Dichoptic ebook therapy development

Darij Grinbergمشاهده پروفایل

استادیار

• Algebraic Combinatorics
• Noncommutative Algebra
• Symmetric Functions
• +۳ مورد دیگر

Darij Grinberg is an Assistant Professor in Mathematics at Drexel University, specializing in algebraic combinatorics and noncommutative algebra. He received his PhD from MIT in 2016 and previously served at the University of Minnesota. His research explores symmetric functions, Hopf algebras, and combinatorial structures through rigorous theoretical frameworks. Recent publications focus on combinatorial algebras, symmetric group representations, and Hopf algebra applications. His work shows a consistent pattern of advancing foundational theories in combinatorics while developing novel connections between algebraic structures and discrete mathematics.

László Tóthمشاهده پروفایل

استاد

• Number Theory
• Multiplicative and Additive Arithmetic Functions
• Ramanujan Sums
• +۴ مورد دیگر

Dr. László Tóth is a full professor, vice-dean and head of the Department of Mathematics at the Institute of Mathematics and Informatics of the University of Pécs, Hungary. His research is centred on analytic and multiplicative number theory, with extensive work on arithmetic functions, Ramanujan sums, cyclotomic polynomials and the enumeration of subgroups of finite abelian groups. Research Interests Multiplicative and additive arithmetic functions and their asymptotic behaviour Dirichlet series, Ramanujan expansions and related identities Generalised cyclotomic polynomials and unitary divisors GCD–LCM sums and their applications in number theory Subgroup counting in finite abelian groups and ring-theoretic enumeration Combinatorial and probabilistic aspects of coprimality conditions Across more than 100 refereed papers he has systematically developed identities, asymptotic formulas and enumeration techniques that link classical multiplicative number theory with modern algebraic and combinatorial questions. His 2023–2025 articles continue this programme, treating odd perfect-number analogues, hyperbolic summation methods, multidimensional density questions and refined estimates for divisor-type sums. Scientific Awards & Recognition No awards listed in the provided text. Students & Mentoring No students or advisees are named in the provided text. Laboratories & Teams As head of the Department of Mathematics at the Institute of Mathematics and Informatics, University of Pécs, he leads a research group focused on analytic and combinatorial number theory, fostering collaboration on arithmetic functions and algebraic enumeration problems.

Rosemarie Aurora Bongersمشاهده پروفایل

استادیار

• Harmonic Analysis
• Geometric Measure Theory
• Quasiconformal Maps
• +۴ مورد دیگر

Dr. Rosemarie Aurora Bongers is an Assistant Professor in the Department of Applied Mathematics at the University of California, Merced, where she chairs the Data Science and Computing program. Her research bridges harmonic analysis, geometric measure theory, and computational mathematics, with a focus on quasiconformal maps, fractals, and nonlinear projections. PhD in Mathematics from Michigan State University (2018) Postdoctoral Lecturer at Washington University in St. Louis Preceptor at Harvard University Her mathematical work explores geometric distortion properties, transversality in nonlinear projections, and regularity theory for quasiconformal maps, while her educational research emphasizes inclusive pedagogy for minoritized and neurodiverse students. Recent publications analyze nonlinear Favard length generalizations, commutators of Hilbert transforms, and extremal examples for stretching/rotation sets. Computational tools are available on her GitHub profile. She advocates for intersectional liberation in mathematics, aligning with Federico Ardila’s axioms to dismantle exclusionary power structures in the field.

Dmitriy Bilykمشاهده پروفایل

استاد

• Harmonic Analysis
• Functional Analysis
• Discrepancy Theory
• +۲ مورد دیگر

Dmitriy Bilyk is a Professor in the School of Mathematics at the University of Minnesota, based in Vincent Hall. His research explores harmonic analysis, functional analysis, and discrepancy theory, with applications to geometric inequalities and optimization problems on spheres. Research focuses on: Energy minimization and measure discreteness on spheres Discrepancy theory in arbitrary dimensions Geometric inequalities and spherical optimization Publications address mathematical structures in discrepancy theory, energy optimization, and geometric inequalities, with recent emphasis on sphere packing and measure theory applications. No awards are documented in the provided text. Research is supported by NSF grants and the Simons Foundation Collaboration Grant.

Gunnar Schmidtmannمشاهده پروفایل

دانشیار

• Visual Neuroscience
• Shape Perception
• Object Recognition
• +۱۹ مورد دیگر

Gunnar Schmidtmann is an Associate Professor of Optometry and Vision Science at the School of Health Professions, University of Plymouth, where he has been employed since 2017, first as a Lecturer and promoted to Associate Professor in 2021. He holds a PhD in Vision Science from Glasgow Caledonian University and completed postdoctoral research at McGill University in Montreal, Canada. He is actively involved in teaching, research, and supervision, with a focus on visual perception and clinical vision science. Education: PhD in Vision Science, Glasgow Caledonian University, UK (2008–2013) BSc in Optometry, University of Applied Sciences, Lübeck, Germany (2005–2008) Medical School, University of Lübeck, Germany (2001–2005) Research Interests: His research spans visual neuroscience, shape perception, object recognition, visual psychophysics, and face perception. He investigates contour and curvature encoding, spatial and probability summation, peripheral vision, visual illusions, and the visual functions of patients with traumatic brain injury, stroke, and glaucoma. His work combines computational modeling with experimental psychophysics. Publication Trends: His recent articles (2023–2025) focus on sensorimotor aging, tablet-based vision testing, letter identification biases, and visual illusions such as the 'Pint Glass Illusion'. These reflect a strong trend toward developing accessible, quantitative tools for clinical and research use, while maintaining a deep theoretical interest in visual perception mechanisms. Scientific Engagement: Active member and elected committee member of the Applied Vision Association (AVA) Principal contributor to the McGill Face Database for complex mental state recognition Regular presenter at AVA and ECVP conferences Supervision and Grants: He supervises PhD students and is a Co-Investigator on an active NHS-funded project Portable Low-Cost Haptic Interfaces for Motor Injury Assessment (2025–2026). His teaching includes module leadership in Visual Perception, Human Anatomy, and Applied Quantitative Research Methods at both undergraduate and postgraduate levels. Labs and Teams: He leads research within the Eye and Vision Research Group at the University of Plymouth and collaborates with the Centre for Cognitive Neuroscience at Brunel University London. His lab focuses on psychophysical experiments and computational modeling of visual perception.

Michael Roysdonمشاهده پروفایل

استادیار مهمان

• Convex Geometry
• Functional Analysis
• Harmonic Analysis
• +۱ مورد دیگر

Michael Roysdon is a Visiting Assistant Professor at Case Western Reserve University (CWRU), affiliated with the Department of Mathematics, Applied Mathematics, and Statistics within the College of Arts and Sciences. His research focuses on convex geometry, functional analysis, harmonic analysis, and probability, with a particular emphasis on geometric inequalities and their applications to high-dimensional convex bodies. Roysdon’s work bridges classical convex geometry with modern functional analysis techniques, often addressing problems related to isoperimetric inequalities, projection bodies, and stochastic geometry. He holds a PhD and has conducted postdoctoral research in geometric analysis. His research has led to significant contributions in understanding Lp-Brunn-Minkowski theory, affine isoperimetric inequalities, and probabilistic methods in convex geometry. Roysdon’s articles explore themes such as dual Radon transforms, reverse Hölder inequalities, and asymptotic properties of random polytopes. Roysdon’s research trends reflect a deep engagement with high-dimensional phenomena and their interplay with functional and probability frameworks. His work often addresses foundational questions in convex geometry while incorporating advanced analytical tools. Notable contributions include frameworks for Lp summations of functions, comparison problems for Radon transforms, and extensions of projection body operators. Though no specific grants or awards are listed, his prolific publication record (over 20 articles from 2004–2025) underscores his active role in advancing the field. He is affiliated with CWRU’s mathematics department, located at 2145 Adelbert Rd., and maintains an online presence via his research site .

Mikhail Gabdullinمشاهده پروفایل

استادیار

• Number Theory
• Harmonic Analysis
• Analytic Number Theory

Mikhail Gabdullin serves as a J.L. Doob Research Assistant Professor at the University of Illinois Urbana-Champaign's Department of Mathematics within the College of Liberal Arts & Sciences. Concurrently, he maintains research positions at Moscow State University (Laboratory of Multidimensional Approximation and Discretization) and the Steklov Mathematical Institute. His multidisciplinary academic journey spans institutions in Russia and the United States. Education Ph.D. in Mathematics, Moscow State University (2019). Thesis: Estimates of character sums and its applications (Advisor: Sergei Konyagin) M.S. in Mathematics, Ural State University (2015) B.S. in Mathematics, Ural State University (2013) Research Focus Gabdullin's research bridges Number Theory and Harmonic Analysis . His number-theoretic investigations include character sum estimation, quadratic residue distributions, prime avoidance problems, and arithmetic function behavior. In harmonic analysis, he examines convergence properties of trigonometric series and specializes in polynomials with frequencies restricted to square or cubic integer sets, combining combinatorial and analytic methodologies. Recent publications demonstrate sustained focus on trigonometric polynomial theory (2022-2024), while earlier works (2015-2021) emphasize character sums and modular arithmetic constraints. This consistent output in high-impact journals reflects his expertise in translating abstract number theory into functional analytic frameworks. Awards & Recognition Young Russian Mathematics Award (2020) Best Paper Award, Steklov Mathematical Institute (2020) Professional Activities Gabdullin maintains an extensive network of international collaborations, evidenced by visiting appointments at institutions including the Alfréd Rényi Institute (Budapest), Mathematical Sciences Research Institute (Berkeley), and participation in premier conferences like the Canadian Number Theory Association meetings and Journées Arithmétiques. His mentoring activities currently focus on research supervision rather than formal student advising.

• Algorithms and Theory
• Computer Graphics and Vision
• Security, Privacy and Cryptography
• +۳ مورد دیگر

Michael Goodrich is a Professor at the University of California, Irvine (UCI), Department of Computer Science since 2001, and Technical Director of the ICS Center for Algorithms and Theory of Computation. Previously, he was a professor at Johns Hopkins University (1987-2001). His research focuses on high-performance algorithms, data structures, and their applications to security, machine learning, geometric computing, and distributed systems. He has over 300 publications and authored influential textbooks. Education: B.A. in Mathematics and Computer Science, Calvin University, 1983 Ph.D. in Computer Science, Purdue University, 1987 Research Interests: Algorithm design and complexity Cryptography and privacy-preserving systems Geometric computing and computational geometry Machine learning and data structures Network security and cloud storage Notable Contributions: Pioneered efficient solutions for sorting, convex hulls, and privacy-preserving data access Advances in quantum algorithms, graph theory, and distributed systems Consultant for AT&T, Walt Disney Animation Studios, and NSF Awards and Honors: ACM Distinguished Scientist AAAS Fellow IEEE Fellow and ACM Fellow Recipient of IEEE Technical Achievement Award Elected Foreign Member of the Royal Danish Academy Grants and Collaborations: $1.2M NSF grant for geometric graphs research (2022) Collaborations with NSA, ONR, DARPA, and industry partners

Mumtaz Hussainمشاهده پروفایل

دانشیار

• Diophantine Approximation
• Dynamical Systems
• Number Theory
• +۳ مورد دیگر

Dr. Mumtaz Hussain is an Associate Professor of Mathematics at La Trobe University's Mathematical and Physical Sciences School, specializing in Diophantine Approximation, Dynamical Systems, and their interactions. He holds a PhD from the University of York (2011) and has held academic positions across institutions including Brandeis University, the University of Newcastle, and Aarhus University. His research has been recognized with awards like the SCEMS mid-career research award (2022) and an Australian Research Council Discovery Project (2020-2025). Education: PhD (2011) from the University of York; MPhil (2004) and MSc (2001) from Pakistani institutions. Research Interests: Focuses on Diophantine approximation, dynamical systems, and applications in number theory. Notable work includes studies on continued fractions, Hausdorff dimensions, and metric properties of limsup sets. His teaching excellence has been acknowledged with awards from La Trobe University and the University of Newcastle. He is an Associate Editor of the Bulletin of the Australian Mathematical Society and former leader of the Number Theory Down Under organization. Key research grants include the ARC-funded 'Measure Theoretic Frameworks for Limsup Sets' (2021–2025).

David DiGregorioمشاهده پروفایل

پژوهشگر

• Neuroscience
• Synaptic Physiology
• Neural Circuit Dynamics
• +۸ مورد دیگر

David DiGregorio is a Principal Investigator in neuroscience at the Institut Pasteur in Paris, France, where he leads research on synaptic and cerebellar circuit dynamics. His work spans experimental and computational neuroscience, focusing on dendritic integration, synaptic diversity, and neural mechanisms of temporal and multisensory coding. Position: Principal Investigator Institution: Institut Pasteur, Paris Research Focus: Synaptic physiology, cerebellar circuits, dendritic computation, neural coding His research interests center on understanding how synaptic and dendritic properties shape neural computations in the cerebellum. He investigates how the nanoscale organization of synaptic proteins, diversity in synaptic strength and plasticity, and dendritic integration contribute to information processing in neural circuits. His lab uses advanced techniques including patch-clamp electrophysiology, super-resolution microscopy (STED), 2-photon imaging in awake animals, and computational modeling. A key theme is how synaptic diversity enables temporal coding of multisensory inputs, a mechanism critical for motor coordination and cognitive behaviors. His recent publications reveal a strong trend in exploring the structural and functional heterogeneity of synapses, the role of electrical synapses in synchrony, and the development of tools for imaging neurotransmitter dynamics. The articles span topics from molecular neuroscience to systems-level circuit modeling, reflecting an integrative approach to understanding brain function. Notable scientific contributions include: Demonstrating that synaptic diversity enables temporal coding of multisensory inputs (Nature Neuroscience, 2015) Revealing sublinear dendritic integration in cerebellar interneurons (Neuron, 2012, 2016) Developing and applying glutamate sensors for in vivo imaging (Nature Methods, 2018) Modeling how synaptic diversity supports sub-second time representation (Nature Communications, 2022) DiGregorio leads multiple ongoing projects funded by competitive grants, including an ERC Starting Grant (NEWRON). He mentors postdoctoral researchers and students, and his lab collaborates widely. He has developed methods for multi-site cerebellar recordings and two-photon neurotransmitter uncaging. His work is foundational for understanding how microcircuit properties enable precise neural representations of time and sensory context. He is actively involved in the neuroscience community, organizing and presenting at seminars, and his lab is part of the broader neuroscience and neuroengineering initiatives at the Institut Pasteur. He has not been marked as retired or deceased, and there is no indication he is a former staff member or part-time appointee.

Ranxiao Frances Wangمشاهده پروفایل

استاد

• Attention and Perception
• Spatial Cognition
• Visual Perception
• +۷ مورد دیگر

Ranxiao Frances Wang is a Professor of Psychology at the University of Illinois, with additional appointment at the Beckman Institute for Advanced Science and Technology. She holds her office in the Psychology Building and maintains an active research laboratory focused on spatial cognition and perception. Dr. Wang earned her Ph.D. from Massachusetts Institute of Technology before joining the University of Illinois faculty. Her research program spans multiple domains within cognitive psychology, particularly focusing on how humans process spatial information and attention. Her primary research interests include mind wandering and cognitive control, human-robot interaction, biologically-informed artificial intelligence, visual perception, and spatial memory. She has developed innovative methodologies to study spontaneous cognitive processes, particularly in meditation contexts, and has pioneered research on human navigation in non-Euclidean spaces. Her work bridges cognitive psychology with robotics, quantum physics, and virtual reality technologies. Analysis of her recent publications reveals a strong emphasis on the cognitive mechanisms underlying attentional states, spatial navigation in both Euclidean and non-Euclidean environments, and the application of cognitive principles to human-robot interaction. Her research consistently employs rigorous experimental methods combined with computational modeling to uncover fundamental principles of human cognition. Dr. Wang has received consistent research funding that has supported numerous graduate students and collaborative projects across disciplines. Her work has been published in top-tier journals across psychology, neuroscience, and human-computer interaction fields. She actively mentors graduate students in the Psychology Department and collaborates with faculty from multiple departments including Engineering, Computer Science, and Physics. Her laboratory maintains cutting-edge virtual reality equipment for spatial cognition research.