جست‌وجوی استاد و پژوهشگر

Jeffrey C. Lagariasمشاهده پروفایل

استاد

• Number Theory
• Computational Complexity Theory
• Cryptography
• +۶ مورد دیگر

Jeffrey C. Lagarias is the Harold Mead Stark Distinguished University Professor of Mathematics at the University of Michigan. His research spans Number Theory, Computational Complexity, Cryptography, and Discrete Geometry. He advises numerous graduate students, including those focusing on topics like Tetrahedral Packings, Polynomial Equations, and Zeta Functions. His work includes groundbreaking contributions to packing problems, dynamical systems, and the 3x+1 conjecture. Notable publications include 'Mysteries in Packing Regular Tetrahedra' (2012) and 'Li Coefficients for Automorphic L-Functions' (2007). He collaborates extensively with researchers like Yang Wang and Chuanming Zong. No awards are explicitly listed, though his academic stature reflects significant recognition. Lagarias teaches advanced mathematics courses and maintains an active research group. His lab focuses on interdisciplinary topics blending pure mathematics with applications in cryptography and optimization.

Wesley Pegdenمشاهده پروفایل

استاد

• Discrete Mathematics
• Probabilistic Combinatorics
• Combinatorial Game Theory
• +۷ مورد دیگر

Wesley Pegden is a Professor in the Department of Mathematical Sciences at Carnegie Mellon University, affiliated with the Mellon College of Science. He holds a Ph.D. from Rutgers University. His research focuses on Discrete Mathematics, including probabilistic combinatorics, combinatorial game theory, graph theory, and discrete geometry. A central theme of his work is the Abelian sandpile model, where he has explored fractal patterns and connections to Apollonian circle packings. Collaborations with Lionel Levine and Charles Smart have advanced understanding of the sandpile's geometric properties through novel constructions of integer superharmonic functions. His work extends to applications in network science, epidemiological modeling, and statistical sampling biases (e.g., analyzing the Bangladesh mask trial). Notably, he contributed to studies on gerrymandering and congressional districting, including an expert analysis of Pennsylvania's district map. Awards include the Sloan Research Fellowship. Research Highlights: Abelian sandpile fractal geometry, algorithmic local lemma extensions, and random graph dynamics. Key Collaborations: Lionel Levine, Charles Smart, Alan Frieze.

Rob Kusnerمشاهده پروفایل

استاد

• Geometric analysis
• Variational problems
• Low dimensional geometry & topology
• +۵ مورد دیگر

Robert B. Kusner is a Professor of Mathematics at the University of Massachusetts Amherst, directing the Center for Geometry, Analysis, Numerics and Graphics (GANG). His research focuses on geometric analysis, variational problems, low-dimensional topology, and mathematical visualization. He holds editorial roles at journals like Journal of Experimental Mathematics and has served on the Board of Trustees for the Association of Members of the Institute for Advanced Study. Kusner earned his Ph.D. from UC Berkeley (1988) and has held visiting positions at institutions including Stanford, Penn, and the Isaac Newton Institute. His work spans minimal surfaces, constant mean curvature surfaces, knot theory, and applications in biomathematics. He has advised students on topics ranging from geometric configurations to biomembrane modeling. Kusner’s contributions include over 150 publications and collaborations in experimental mathematics, geometric flows, and interdisciplinary research. Education: Ph.D. Mathematics, University of California, Berkeley, 1988 C.Phil. Mathematics, University of California, Berkeley, 1984 B.A. Mathematics and Physics, Haverford College, 1981 Research Interests: Geometric analysis, variational problems, minimal surfaces, Willmore energy, knot energies, biomembrane modeling, and topological configurations. Grants & Collaborations: Extensive funding for research in geometric analysis and interdisciplinary projects. Collaborations include work on the Willmore conjecture, biomembrane numerical methods, and topological colloids. Labs/Teams: Director of GANG, leading a team in experimental geometry and computational mathematics. Active in organizing workshops on geometric topology and condensed matter physics.

• Asymptotic Geometric Analysis
• Geometric Probability
• Information-based Complexity
• +۳ مورد دیگر

Mathias Sonnleitner is an Erwin Schrödinger Research Fellow at the Institute of Financial Mathematics and Applied Number Theory, Johannes Kepler University Linz, hosted by Friedrich Pillichshammer. Previously, he held postdoctoral positions at the University of Alberta (hosted by Alexander Litvak) and the University of Münster (hosted by Zakhar Kabluchko). He earned his Dr. rer. nat. (PhD) in Mathematics from the University of Passau in 2022 under the supervision of Joscha Prochno and Aicke Hinrichs. His research focuses on asymptotic geometric analysis, geometric probability, and information-based complexity, with applications to convex geometry, stochastic processes, and high-dimensional approximation. Education includes a Dipl.-Ing. (MSc) in Mathematics from Johannes Kepler University Linz (2019) and a BSc in Technical Mathematics from the same institution (2018). His work bridges functional analysis, probability, and numerical methods, with notable contributions to entropy numbers, convex body approximation, and optimal recovery problems. Recent publications address minimal dispersion on spheres, shadows of ℓ p -balls, and random approximation in Hausdorff distance. He has received prestigious awards including the Joseph F. Traub Young Researcher Award (2022) and the Sparda-Bank Dissertation Prize (2023). His teaching includes courses on information-based complexity and convex geometry at the University of Passau and Johannes Kepler University Linz.

Maryna Viazovskaمشاهده پروفایل

استاد

• Sphere packing
• Fourier analysis
• Automorphic forms
• +۳ مورد دیگر

Maryna Viazovska is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), renowned for solving the sphere packing problem in dimensions 8 and 24. She holds a PhD from the Max Planck Institute for Mathematics and the University of Bonn (2013), with earlier degrees from Technical University Kaiserslautern (M.Sc., 2007) and Kyiv National Taras Shevchenko University (B.Sc., 2005). Her research focuses on sphere packing, optimal point configurations, Fourier analysis, automorphic forms, and number theory. Notable achievements include proving the E8 lattice's optimality in 8 dimensions and the Leech lattice in 24 dimensions, leveraging modular forms and interpolation techniques. Key awards include the Fields Medal (2022), Fermat Prize (2020), and Salem Prize (2016). She has held positions at Humboldt University of Berlin (BMS Dirichlet Postdoc), Institut des Hautes Études Scientifiques, and Princeton University. Her publications span top journals like Annals of Mathematics and address interdisciplinary topics such as superconductivity and combinatorial geometry. Viazovska’s work bridges pure mathematics with applications in coding theory and physics.

Simon Coxمشاهده پروفایل

استاد

• Foam Rheology
• Fluid Dynamics
• Computational Physics
• +۶ مورد دیگر

Simon Cox is a Professor in the Department of Mathematics at Aberystwyth University. He graduated with a BSc in Applied Mathematics from the University of Warwick (1994) and earned his PhD from the University of East Anglia (1998), focusing on wave-induced pressures on coastal structures. His research spans foam rheology, microfluidics, biological morphology, and porous media flow. Academic Appointments: Lecturer (2005), Reader (2010), Personal Chair (2010) Major Projects: EPSRC Fellowship (2006-2011), ESA Hydrodynamics of Wet Foams (2020-2023), Welsh Government Sclerotherapy Optimization (2023-2025) His research on foam rheology uses the Surface Evolver to model bubble-scale dynamics, while his biological morphology work connects sea urchin structures to foam packing principles. Recent projects focus on microfluidic modeling of geological porous media and medical foam applications. Key research trends from 2016-2025 include computational modeling of foam flow in complex geometries, capillary pressure analysis, and surfactant transport in dry foams. His work intersects with UN Sustainable Development Goals related to energy and clean water through porous media studies. Scientific Awards: EPSRC Advanced Research Fellowship (2006-2011), Fellow of the Learned Society of Wales (2013), Senior Fellow of the Higher Education Academy (2016) As Head of Department (2014-2024), he led mathematical research initiatives. His supervised work includes 135 research outputs and collaborations across Europe, with equipment like the Surface Evolver and rheometers.

Yufei Zhaoمشاهده پروفایل

دانشیار

• Combinatorics
• Extremal combinatorics
• Probabilistic combinatorics
• +۴ مورد دیگر

Yufei Zhao is an Associate Professor of Mathematics at the Massachusetts Institute of Technology (MIT). His research focuses on extremal, probabilistic, and additive combinatorics, with applications to graph theory, discrete geometry, and computer science. Dr. Zhao received his S.B. in Mathematics and Computer Science and Engineering from MIT in 2010, followed by an M.A.St. in Mathematics with Distinction from Cambridge University in 2011. He completed his Ph.D. in Mathematics at MIT in 2015 under the supervision of Jacob Fox. His research interests span a broad range of combinatorial mathematics, with particular emphasis on the interplay between structure and randomness. Dr. Zhao has made significant contributions to extremal graph theory, additive combinatorics, and the theory of pseudorandom graphs. His work often connects different areas of mathematics through innovative applications of combinatorial methods. Dr. Zhao's publications demonstrate a consistent focus on fundamental problems in combinatorics, with recent work exploring equiangular lines, spherical codes, extremal set theory, and the connections between graph theory and additive combinatorics. His research has been recognized with prestigious awards including the Fulkerson Prize (2024), NSF CAREER award (2021), Sloan Research Fellowship (2019), and Dénes König Prize (2018). Fulkerson Prize (2024) NSF CAREER award (2021) Sloan Research Fellowship (2019) Dénes König Prize (2018) Dr. Zhao actively mentors students, currently advising Travis Dillon, Dingding Dong, and Nitya Mani. His former PhD students include Benjamin Gunby, Jonathan Tidor, Aaron Berger, Ashwin Sah, and Mehtaab Sawhney. He has also authored the influential textbook "Graph Theory and Additive Combinatorics: Exploring Structure and Randomness" (Cambridge University Press, 2023), which has received high praise from leading mathematicians including Terry Tao and Ben Green.

Lütfullah Kuddusiمشاهده پروفایل

استاد

• Heat Transfer
• Microchannel Engineering
• Fluid Dynamics
• +۳ مورد دیگر

Lütfullah Kuddusi serves as a Professor in the Department of Mechanical Engineering at Istanbul Technical University, Istanbul, Turkey. His research centers on thermal-fluid phenomena in microscale and complex geometries, with significant contributions to heat transfer and fluid dynamics. His primary research interests include: Microchannel Heat Transfer Spiral Channel Fluid Dynamics Packed Bed Flow Regimes Condensation in Microchannels Particle Manipulation in Microfluidics Thermal Entry Length Analysis Recent publications (2020-2025) reveal a strong focus on experimental and theoretical investigations of laminar flow in spiral microchannels and packed beds, with applications spanning refrigeration systems (R600a condensation), thermal management, and microparticle separation. His work consistently bridges fundamental fluid mechanics with practical engineering solutions, evidenced by high citation impact (h-index 29). Professor Kuddusi has supervised 24 students and led three major research projects: Experimental Investigation of Flow and Heat Transfer in Curved Channels with Porous Media (2018-2021) Development of Microfluidic Systems for Particle Manipulation (2017-2021) Effect of Channel Aspect Ratio on Heat Transfer in Wavy Microchannels (2015-2021)

• Computer Science
• Algorithms
• Computational Geometry
• +۴ مورد دیگر

Sujoy Bhore is affiliated with the Indian Institute of Technology Bombay (Department of Computer Science & Engineering), Université libre de Bruxelles, and Technische Universität Wien. His research focuses on algorithms , computational geometry , and graph theory , with a strong emphasis on geometric optimization , dynamic data structures , and parameterized algorithms . Recent publications highlight advancements in Euclidean spanners for sparse network design online algorithms for dynamic geometric problems Steiner trees and tree covers in planar domains k-median/means approximation using coresets His collaborative work spans institutions, with frequent joint research on geometric intersection graphs , map labeling , and planar graph embeddings . Co-authors include prominent researchers like Csaba D. Tóth, Martin Nöllenburg, and Timothy M. Chan. While no formal awards are documented here, his contributions to algorithmic complexity and geometric networks remain significant.

Spencer Backmanمشاهده پروفایل

دانشیار

• Algebraic and Geometric Combinatorics
• Matroid Theory
• Graph Theory
• +۷ مورد دیگر

Spencer Backman is an Associate Professor in the Department of Mathematics and Statistics at the University of Vermont, within the College of Engineering and Mathematical Sciences. His research focuses on algebraic and geometric combinatorics, with applications to matroid theory, graph theory, tropical geometry, and nonarchimedean geometry. Ph.D. in Algorithms, Combinatorics, and Optimization from Georgia Institute of Technology (2014) B.A. in Mathematics from Oberlin College (2007) Spencer’s work explores combinatorial structures through algebraic and geometric lenses, including tropical geometry, matroid base polytopes, and chip-firing games. His recent publications address generalized Dyck paths, convex building sets, and higher categorical associahedra. He has participated in international programs such as the Emory-Tibet Science Initiative and conducted postdoctoral research across South Korea, Italy, Germany, and Israel. Additional interests include connections between tropical geometry and classical algebraic geometry.

Andrei Petoukhovمشاهده پروفایل

دانشیار

• Self-organization of colloids
• Nanomaterials science
• Synchrotron X-ray techniques
• +۴ مورد دیگر

Dr. Andrei V. Petukhov is an Associate Professor at the Van 't Hoff Laboratory for Physical and Colloid Chemistry within Utrecht University's Debye Institute for Nanomaterials Science . He holds a part-time associate professor position at Eindhoven University of Technology since 2016. As a leading expert in synchrotron-based X-ray techniques , he serves as Editor-in-Chief of MDPI journal Materials ' Advanced Nanomaterials section and chairs the beamtime allocation panel at ESRF. Founded and chairs International Advisory Council at Immanuel Kant Baltic Federal University (until 2022 resignation) Developed XFEL pump-probe methodology for studying extreme irradiation conditions Created microradian SAXS setups for nanoscale structural analysis His research focuses on colloidal self-organization across multiple length scales, using both nonspherical colloids and external field manipulations . Key themes include: Entropic patchiness in crowded suspensions Magnetic field control of anisotropic colloids Confinement effects in droplet-based assembly Phase transitions in colloidal crystals His group performs in situ X-ray scattering experiments at prestigious facilities like ID10 beamline and BM-26 DUBBLE , with notable methodological contributions to: X-ray cross-correlation analysis Coherent diffraction imaging Advanced colloidal crystallography

• Active Matter
• Soft Matter Physics
• Biomimetic Models
• +۴ مورد دیگر

H.R. Vutukuri is a tenured Assistant Professor at the University of Twente, leading the Active Soft Matter Lab within the Faculty of Science and Technology (TNW). He is affiliated with the Bioengineering Technologies (TNW-BET) department and the Nanobiophysics (TNW-BET-NBP) research group, as well as the MESA+ Institute. Dr. Vutukuri's research focuses on developing novel biomimetic models to explore the dynamics of systems far from equilibrium. His work bridges physics, biology, and engineering to deepen our understanding of active matter systems. Specifically, his lab investigates: Controlling materials by powering them from within, uncovering how order can emerge from disorder Lipid membrane mechanics, understanding how cell membranes respond to foreign bodies and highly localized forces The transport of artificial microswimmers in complex fluids, leveraging principles of soft matter science His recent publications reveal a strong focus on active matter systems, particularly exploring the interactions between artificial microswimmers and lipid membranes. His work combines experimental approaches with theoretical modeling to understand non-equilibrium phenomena in soft matter systems. A recurring theme is the development of light-responsive systems that can switch between different states, allowing for precise control over material properties and behaviors, with significant implications for both fundamental science and potential applications in biomimetic materials. Dr. Vutukuri has received significant recognition for his research, including: ERC Consolidator Grant 2024 (2 M€) from ERC Research NWO Open Competition Domain Science – M1 grant (March 2023) NWO Open Competition Domain Science – XS grant (December 2023) As the leader of the Active Soft Matter Lab, Dr. Vutukuri directs research that combines experimental physics with biological applications. His lab develops artificial microswimmers and active lipid vesicles to create minimal models for studying complex biological systems. The lab's work has implications for understanding cellular processes and developing new materials with life-like functionalities. With the recent ERC Consolidator Grant, the lab is expanding its research into synthetic active materials with life-like functionalities, with plans to open new PhD and Postdoc positions.

Apichart Linhanantaمشاهده پروفایل

دانشیار

• Protein Folding
• Biological Physics
• Condensed Matter Theory
• +۸ مورد دیگر

Apichart Linhananta serves as Associate Professor in the Physics Department at Lakehead University, Ontario, Canada, where he has been faculty since 2002 (Assistant Professor until 2007). His interdisciplinary research bridges theoretical physics and biological systems, focusing on computational modeling of protein folding dynamics, collision energy transfer in combustion, and soft-condensed matter phenomena. His academic background includes: B.Sc. in Physics from McGill University M.Sc. and Ph.D. in Physics from the University of Guelph Professor Linhananta's primary research centers on protein folding mechanisms using discontinuous molecular dynamics simulations. His group developed an all-atom hard-sphere model to study folding cooperativity in proteins like Trp-Cage, revealing dual folding pathways (fast helix-formation vs. slow collapse) and aggregation mechanisms relevant to neurodegenerative diseases. Additional work examines collisional energy transfer in hydrocarbon combustion (identifying torsional rotors as key energy carriers) and theoretical lipid systems , demonstrating his application of statistical mechanics to biological and chemical problems. Analysis of his 15 publications (1991-2013) shows sustained output with 4 papers in 2010-2013. His work consistently employs computational modeling to address fundamental questions in biophysics, with recent studies focusing on protein-ligand interactions, folding thermodynamics in osmolytes, and mutation effects in genetic disorders. Professor Linhananta has advised at least one M.Sc. student (Ian MacKay) and maintains active research programs suggesting ongoing grant support. His lab provides students with training in computational biophysics, molecular modeling, and interdisciplinary problem-solving with applications to disease mechanisms and energy science.