جست‌وجوی استاد و پژوهشگر

Mohit Tawarmalaniمشاهده پروفایل

استاد

• Optimization
• Mathematical Programming
• Global Optimization
• +۶ مورد دیگر

Mohit Tawarmalani is the Executive Associate Dean of Faculty and the Allison and Nancy Schleicher Chair of Management at Purdue University's Mitch Daniels School of Business. He holds a courtesy appointment as a Professor of Chemical Engineering. With a Ph.D. and M.S. from the University of Illinois at Urbana-Champaign and a B.Tech. from the Indian Institute of Technology Delhi, his expertise spans optimization, mathematical programming, and global optimization software (e.g., BARON). His research bridges computer science, operations research, and engineering, focusing on applications in business and energy systems. His awards include the INFORMS Computing Society Prize (2004), Beale-Orchard-Hays Prize (2006), and the 2024 Computing in Chemical Engineering Award. He led Purdue’s team to win the 2023 INFORMS UPS George D. Smith Prize for educational innovation in analytics training. Prof. Tawarmalani directs the Krenicki Center for Business Analytics and Machine Learning, co-founded the Master’s in Business Analytics program, and redesigned the Mitch Daniels School of Business structure. His grants include NSF and Air Force funding for optimization and network research.

Robert Rahmمشاهده پروفایل

دانشیار

• Functional Analysis
• Harmonic Analysis
• Operator Theory
• +۳ مورد دیگر

Robert Rahm is an Instructional Associate Professor of Mathematics at Texas A&M University, serving as a Faculty Advisor for APMT. His research focuses on functional analysis, harmonic analysis, and operator theory with applications to mathematical physics and partial differential equations. He holds an office at BLOC 332C and can be contacted via math-advising@tamu.edu. Rahm's work emphasizes weighted norm inequalities, sparse operators, and spectral theory. His recent studies explore connections between perturbed potentials and the Riemann zeta function, as well as inverse problems in Schrödinger equations. He has contributed to advancements in Bergman space projections, entropy conditions for operators, and wavelet theory applications. No scientific awards are explicitly listed in the provided materials. His advising role suggests active engagement with student mentorship, though specific advisee names are not documented here. Research collaborations likely involve advanced mathematical modeling and analytical techniques in both pure and applied contexts.

Kathryn Lundمشاهده پروفایل

پژوهشگر

• Numerical Linear Algebra
• Scientific Computing
• High-Performance Computing
• +۵ مورد دیگر

Kathryn Lund is a Senior Computational Mathematician at the STFC Rutherford Appleton Laboratory in Didcot, UK, and a guest member of the Numerical Linear and Multilinear Algebra Team at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, Germany. Her work aligns with the Mathematical Research Data Initiative (MaRDI) and focuses on numerical linear algebra, scientific computing, and high-performance computing. Education: Joint PhD in Mathematics (2015-2018) from Temple University and Bergische Universität Wuppertal. Her research interests include: Rounding-error analysis of algorithms Krylov subspace methods Matrix functions applied to multiple vectors Tensor t-product operations Recent work highlights advancements in reorthogonalized block Gram-Schmidt methods, with publications in SIMAX and arXiv. She also contributes to software development, including the BlockStab project. Active in international collaborations, Kathryn held postdoctoral positions at EPFL, Charles University, and the Max Planck Institute. She joined STFC in June 2024 after a career break in Zurich.

David Ruleمشاهده پروفایل

دانشیار

• Harmonic Analysis
• Partial Differential Equations
• Pseudodifferential Operators
• +۷ مورد دیگر

David Rule is an Associate Professor (Docent) in the Department of Mathematics at Linköping University, affiliated with the Faculty of Science and Engineering. His research lies at the intersection of harmonic analysis and partial differential equations, with a focus on pseudodifferential, Fourier integral, and oscillatory integral operators. He also contributes significantly to mathematics education, both through teaching and pedagogical development at Didacticum. Education: PhD in Mathematics, University of Chicago, 2007 MSc in Mathematics, University of Chicago, 2003 MMath in Mathematical Physics, University of Sussex, 2001 His research interests center on the analytical properties of operators arising in PDEs, particularly their boundedness, regularity, and solvability in various function spaces. He investigates multilinear and degenerate forms of these operators, often under non-standard conditions such as Carleson measure control or non-symmetry. In mathematics education, he emphasizes reasoning, proof, and communication, challenging the notion that mathematics is inherently difficult by fostering intuitive development alongside logical rigor. The recent publications reflect a sustained focus on multilinear harmonic analysis, especially the boundedness of oscillatory and Fourier integral operators in both classical and weighted settings. His work spans pure analysis, with deep connections to operator theory and function spaces, and applied contexts such as fluid mechanics. The trend shows increasing collaboration and generalization beyond classical Calderón-Zygmund theory. Scientific Awards: No specific awards mentioned in the text. David Rule advises no listed students, but he teaches a range of courses from introductory calculus to advanced PDEs and graduate-level topics. He has received research support from institutions including the Simons Foundation. His work with Didacticum and academic unions like SULF and Saco-S highlights his commitment to improving teaching practices and defending academic autonomy. He is a member of the Division of Analysis and Mathematics Education (ANDI), where he contributes to interdisciplinary research in analysis and pedagogy. His union roles include service on the national and local SULF boards and Linköping's Saco-S council, emphasizing collegiality and democratic values in academia.

• Harmonic Analysis
• Complex Analysis
• Partial Differential Equations
• +۳ مورد دیگر

Cody Stockdale is an Assistant Professor in the Department of Mathematical and Statistical Sciences at Clemson University, affiliated with the College of Science. His research focuses on harmonic analysis, complex analysis, partial differential equations, and operator theory. He holds a Ph.D. and M.A. in Mathematics from Washington University in St. Louis (2020 and 2017, respectively) and a B.S. in Mathematics from Bucknell University (2015). His work emphasizes theoretical contributions to functional analysis, singular integrals, and operator compactness criteria. Recent articles explore topics like atomic decomposition, sparse domination, and weighted inequalities in function spaces. Education: Ph.D., Mathematics, Washington University in St. Louis, 2020 M.A., Mathematics, Washington University in St. Louis, 2017 B.S., Mathematics, Bucknell University, 2015 Research Interests: His studies bridge harmonic analysis, complex analysis, and operator theory, with a focus on compactness criteria for operators, endpoint estimates, and applications in function spaces. He investigates pseudodifferential operators, Toeplitz operators, and singular integrals, often under weighted norms or minimal smoothness conditions. Publications: Recent articles highlight advancements in atomic decomposition techniques, weak-type bounds beyond classical Calderón-Zygmund theory, and compactness criteria in function spaces. His work often employs sparse domination methods and explores multilinear operators. Awards: No awards are explicitly listed in the provided text. Advising & Grants: No advising records or grant details are mentioned. His academic profile emphasizes research contributions rather than disclosed grants or student supervision. Labs/Teams: No specific laboratories or collaborative teams are noted in the provided information.

• Harmonic Analysis
• Incidence Geometry
• Geometric Measure Theory
• +۳ مورد دیگر

Marina Iliopoulou is a Professor of Mathematics at the Department of Mathematics, National and Kapodistrian University of Athens, Greece. Her research focuses on harmonic analysis, incidence geometry, geometric measure theory, and additive combinatorics. She has made significant contributions to understanding oscillatory integral operators, Kakeya-type problems, and inequalities in harmonic and functional analysis. Education: PhD in Mathematics from the University of Edinburgh (2013), thesis titled Discrete analogues of Kakeya problems . Research Highlights: Developed sharp estimates for oscillatory integral operators using polynomial partitioning, earning a Frontiers of Science Award (2018-22). Advanced studies on incidence geometry, including joints problems and multijoints over arbitrary fields. Contributed to Mizohata-Takeuchi-type inequalities and Riesz-Sobolev inequalities on Abelian groups. Recognition: Recipient of the Frontiers of Science Award for the paper Sharp estimates for oscillatory integral operators via polynomial partitioning . Advising & Grants: No listed advisees or grant details provided. Labs/Teams: No specific laboratories or collaborative teams explicitly mentioned in the provided information.

Denis Potapovمشاهده پروفایل

مدرس ارشد

• Noncommutative Analysis
• Perturbation Theory
• Harmonic Analysis
• +۲ مورد دیگر

Dr. Denis Potapov is a Senior Lecturer at the School of Mathematics and Statistics, University of New South Wales (UNSW), Sydney. His research specializes in noncommutative analysis, perturbation theory, and harmonic analysis, with significant contributions to operator theory and spectral analysis. His work explores the interplay between operator Lipschitz functions, spectral shift functions, and noncommutative integration, often leveraging advanced techniques from functional analysis and mathematical physics. Key research themes include trace formulas for noncommuting operators, Fréchet differentiability in noncommutative spaces, and applications to quantum mechanics. Dr. Potapov's publications demonstrate a consistent focus on resolving open problems in operator theory (e.g., the Nazarov-Peller conjecture) and developing frameworks for noncommutative manifolds. His recent articles emphasize operator-Lipschitz estimates, Hardy spaces, and spectral flow in non-Fredholm contexts.

Lingxiao Zhangمشاهده پروفایل

استاد پژوهشی

• Harmonic Analysis
• Singular Integrals
• Sub-Riemannian Geometry
• +۳ مورد دیگر

Lingxiao Zhang is an Assistant Research Professor at the University of Connecticut, mentored by Guozhen Lu and Vasileios Chousionis. He holds a Ph.D. from the University of Wisconsin-Madison, advised by Brian Street. His research focuses on harmonic analysis, linear/multilinear singular integrals, sub-Riemannian geometry, geometric measure theory, and spectral multipliers for partial differential equations. His academic journey includes work on topics such as multi-parameter singular Radon transforms and spectral multipliers for subelliptic operators. He has contributed to peer-reviewed journals like Transactions of the American Mathematical Society and Mathematische Zeitschrift . No scientific awards or grants are explicitly listed, though his research demonstrates significant contributions to his field. His current office is located in MONT 410, and he maintains a research website at https://sites.google.com/view/lingxiaozhang/home .

Rafael Oliveiraمشاهده پروفایل

استادیار

• Computational Complexity
• Algebraic Geometry
• Optimization Algorithms
• +۱ مورد دیگر

Rafael Oliveira is an Assistant Professor at the University of Waterloo's Cheriton School of Computer Science, conducting research from office DC 1313. His work explores fundamental connections between complexity theory, optimization, and geometry. Research spans: Algebraic complexity barriers Geometric combinatorics Efficient tensor algorithms Proof complexity frameworks His publications demonstrate consistent focus on mathematical foundations of computation , with recent advances in polynomial identity testing, interactive proofs, and geometric optimization. Article analysis shows recurring themes in algebraic complexity (40%), combinatorial geometry (30%), and optimization (30%).

Andrea R. Nahmodمشاهده پروفایل

استاد

• Nonlinear Fourier Analysis
• Harmonic Analysis
• Nonlinear Partial Differential Equations
• +۶ مورد دیگر

Andrea R. Nahmod is a Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst, within the College of Natural Sciences. She is actively engaged in research, teaching, and academic service, with a strong presence in national and international mathematical communities. Department: Mathematics and Statistics School: College of Natural Sciences University: University of Massachusetts Amherst Position: Professor Email: nahmod@umass.edu Research Interests: Andrea Nahmod's research centers on the deep connections between Nonlinear Fourier Analysis, Harmonic Analysis, and Nonlinear Partial Differential Equations. Her work integrates tools from geometry, gauge theory, and probability to study the behavior of solutions to nonlinear dispersive equations arising in physics and geometry. She investigates both deterministic and probabilistic aspects of these equations and develops advanced analytical techniques such as wave-packet analysis and multilinear singular pseudodifferential operators. Her research is supported by prestigious grants from the National Science Foundation and the Simons Foundation. She is a co-leader of the Simons Collaboration on Wave Turbulence and has organized major research programs at MSRI/SLMath and ICERM, including the 2015 MSRI program New Challenges in PDE and the 2019 ICERM semester program on Hamiltonian Methods in Dispersive and Wave Evolution Equations . She is also organizing the upcoming Fall 2025 SLMath/MSRI program on Recent Trends in Stochastic Partial Differential Equations . While specific recent publications are not listed in the provided text, her research output consistently contributes to high-level mathematical theory in analysis and PDE, with a growing emphasis on probabilistic and stochastic methods in infinite-dimensional systems. Scientific Awards and Recognition: Research funding from the National Science Foundation Simons Foundation Collaboration Grant Invited organizer for major research programs at MSRI/SLMath, ICERM, and UMass Advising and Academic Leadership: Nahmod has supervised eight PhD students, all working in areas related to nonlinear dispersive PDEs and wave equations. She is also involved in mentoring undergraduate researchers through REU and Capstone projects. She is a founding member of the CNS Women's Caucus at UMass Amherst, where she advocates for gender equity and inclusion in STEM. The Caucus focuses on best practices in hiring, promotion, and salary equity, and provides support structures for women and minority faculty. Laboratories and Research Teams: While not a lab-based scientist, Nahmod leads and participates in collaborative research teams, most notably the Simons Collaboration on Wave Turbulence, which brings together mathematicians from across the U.S. and internationally to advance the theory of wave dynamics in nonlinear systems.

• Mathematical Analysis
• Harmonic Analysis
• Functional Analysis
• +۳ مورد دیگر

Prof. Dr. Ali AKBULUT is a full-time Professor in the Department of Mathematics at Ahi Evran University's Faculty of Arts and Sciences. He holds a PhD (2003), MSc (1998), and BSc (1994) in Mathematics from Ankara University. His research focuses on Mathematical Analysis , particularly harmonic analysis, integral operators, Morrey spaces, and Schrödinger operators. He has supervised 16+ graduate students (PhD/MSc) on topics including harmonic analysis, operator theory, and function spaces. His work includes 50+ publications, with recent articles concentrated on boundedness of operators in specialized spaces like Lorentz, Morrey, and vanishing Morrey spaces. Awards: UBYT Programı (TÜBİTAK, 2018) UBYT Yayın Teşvik Programı (TÜBİTAK, 2015) Grants & Leadership: Principal investigator for 27 projects (e.g., TUBITAK-funded studies on Morrey spaces). Current Director of the Institute (2024–), former Dean/Department Head.

Guanglu Zhouمشاهده پروفایل

دانشیار

• Numerical Optimization
• Computational Methods
• Complementarity Problems
• +۳ مورد دیگر

Guanglu Zhou is an Associate Professor at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences, within the Centre for Optimisation and Decision Science. He holds a PhD from the University of New South Wales (2000) and has held academic roles at institutions including the National University of Singapore and the University of Birmingham. His research focuses on numerical optimization, computational methods, tensor computation, and industrial applications. Education : BSc, Shandong Normal University (1988) MSc, Qufu Normal University (1992) PhD, University of New South Wales (2000) Research Interests : Numerical Optimization and Computational Methods Tensor Analysis and Applications Complementarity Problems and Mathematical Programming Industrial Problem Solving Key Achievements : Recipient of the ARC Queen Elizabeth II Fellowship (2006-2010) Principal Investigator on ARC Discovery Grants focusing on optimization and computational methods Teaching : Courses in Mathematics, Computational Mathematics, Optimization, and Logistics Modeling. Grants : Led ARC projects on robust optimization methods (2006-2010) and cone optimization applications (2011-2013).

• Real Harmonic Analysis
• Multilinear Singular Integrals
• Time-Frequency Analysis
• +۷ مورد دیگر

Vjekoslav Kovač is a Full Professor at the Department of Mathematics, Faculty of Science, University of Zagreb. He earned his Ph.D. from the University of California, Los Angeles, in 2011 under Christoph Thiele and completed his M.Sc. at the University of Zagreb in 2006. His academic career includes a 2019-2020 visiting researcher position at Georgia Institute of Technology supported by a Fulbright Scholarship. Research Interests: Real harmonic analysis, multilinear singular integrals, time-frequency analysis, and applications to ergodic theory, martingales, geometric measure theory, and arithmetic combinatorics. Scientific Awards: Croatian National Award for Science (2023) Special Award for Popularization of Science (2024) Fulbright Scholarship (2019-2020) Young Scientist Award (2012) Grants: HRZZ IP-2022-10-5116: Fourier Analysis and Applications (FANAP) - Principal Investigator (2023-2027) HRZZ UIP-2017-05-4129: Multilinear and Nonlinear Harmonic Analysis and Applications (MUNHANAP) - Principal Investigator (2018-2023)

Martín Argeramiمشاهده پروفایل

استاد

• Operator Algebras
• Operator Systems
• Type II Factors
• +۳ مورد دیگر

Martín Argerami is a Professor in the Department of Mathematics and Statistics at the University of Regina, affiliated with the Faculty of Science. His research focuses on operator algebras, operator systems, and type II factors, with contributions to linear algebra and functional analysis. Education details are not explicitly provided in the text, but his academic position suggests advanced training in mathematics. His research emphasizes theoretical aspects of operator theory, numerical ranges, and matrix analysis, as reflected in his publications. Recent publications (2015–2021) explore topics like higher rank numerical ranges, matricial ranges of specific operators, and applications of majorisation principles. Though no awards or grants are listed, his work contributes to foundational areas of mathematical analysis. No advised students or active laboratories/teams are documented in the provided text.

• Mathematical Optimization
• Discrete Mathematics
• Mathematics of Data Science
• +۳ مورد دیگر

Alberto Del Pia is a Professor in the Department of Industrial & Systems Engineering at the University of Wisconsin–Madison, where he has been a faculty member since 2014 and received tenure in 2020. His research focuses on mathematical optimization, discrete mathematics, and the mathematics of data science. He holds a Ph.D. in Mathematics from the University of Padova (2009) and has held postdoctoral positions at Otto von Guericke University, ETH Zürich, and IBM Research as a Goldstine Fellow. Educational Background: PhD in Mathematics (University of Padova, 2009); MS and BS in Mathematics (University of Padova, 2005 and 2004). Research Interests: Del Pia's work emphasizes theoretical and computational aspects of optimization, including convex quadratic programming, mixed-integer programming, and polynomial optimization. His contributions span the design of algorithms and polyhedral analysis, with applications in data science and operations research. Notable Awards: He has received the Egon Balas Prize (INFORMS Optimization Society, 2023), the INFORMS Computing Society Prize (2023), and the Young Researchers Prize (INFORMS Optimization Society, 2017). His postdoctoral work was supported by the IBM Herman Goldstine Fellowship (2013) and the INdAM Scholarship (2000). Teaching and Service: Del Pia teaches courses in integer optimization and linear optimization across multiple departments (Industrial & Systems Engineering, Mathematics, Computer Science). He has also organized conferences, such as the 2023 IPCO conference in Madison.