جست‌وجوی استاد و پژوهشگر

Nic Freemanمشاهده پروفایل

مدرس

• Probability
• Stochastic Processes
• Random Geometry
• +۳ مورد دیگر

Dr Nic Freeman is a Lecturer in Applied Probability and Programme Leader for Financial Mathematics at the School of Mathematical and Physical Sciences, University of Sheffield. He holds an academic position within the Department of Mathematics and is a member of the Probability research group. His research focuses on probability theory, stochastic processes, random geometry, fractals, and applications to population genetics and financial mathematics. Dr Freeman teaches courses such as MAS350 Measure and Probability, MAS352 Stochastic Processes and Finance, MAS451 Measure and Probability, and MAS452 Stochastic Processes and Finance. His work integrates theoretical probability with practical applications, including the study of preferential attachment models, coalescent processes, and spatial stochastic systems. He is affiliated with the Hicks Building, located in Room I20. Research interests span topics such as tightness criteria for random processes, Brownian web/net structures, and cluster dynamics in network models. His recent publications explore foundational aspects of stochastic processes and their convergence properties, contributing to both pure and applied probability theory. Dr Freeman collaborates within interdisciplinary teams and maintains an active research profile in mathematical probability.

Elmar Teuflمشاهده پروفایل

مدرس ارشد

• Random Walks on Graphs
• Combinatorics
• Probability Theory
• +۳ مورد دیگر

Elmar Teufl is a Senior Lecturer in the Department of Mathematics at Eberhard Karls Universität Tübingen. He holds a Doctorate (2002) and a Habilitation (2015) from Graz University of Technology and Tübingen University, respectively. His research focuses on random walks on graphs and groups, combinatorial problems on self-similar structures, asymptotic methods, and fractal geometry. His work bridges probability theory, combinatorics, and graph theory with applications to fractal networks and recursive systems. Teufl has held academic positions across Europe, including visiting professorships at the University of Stuttgart (2012–2013) and a Marie Curie Fellowship at Bielefeld University (2005–2006). His research has been supported by the Austrian Science Fund (FWF) and the EU. Key achievements include contributions to spanning tree enumeration on Sierpinski graphs and resistance scaling in self-similar lattices. His publications span topics like asymptotic enumeration, determinant identities for Laplacian matrices, and structural properties of nilpotent groups. He received the Austrian Mathematical Society's Studienpreis (2003) for his thesis on self-similar graphs and fractals. Teaching responsibilities include advanced courses in combinatorics and probability, with a full teaching record documented in alma.

Natalia Jurgaمشاهده پروفایل

مدرس

• Dynamical Systems
• Ergodic Theory
• Random Matrix Products
• +۱ مورد دیگر

Natalia Jurga is a Lecturer in Pure Mathematics at the University of St Andrews School of Mathematics and Statistics. Her research explores dimension theory, dynamical systems, and fractal geometry, particularly through iterated function systems and ergodic methods. Funded by a Leverhulme Trust Early Career Fellowship, Jurga investigates the dimension theory of invariant sets, box dimension anomalies, and applications to parabolic fractals. She develops innovative approaches to compute Hausdorff dimensions and analyze chaotic systems. Awards & Grants: Leverhulme Trust Early Career Fellowship She advises PhD students including Luke Derry, Saeed Shaabanian, and Yunlong Xu, and serves as an editor for the Proceedings of the Royal Society of Edinburgh.

Peter Cholakمشاهده پروفایل

استاد

• Computability Theory
• Definability
• Recursion Theory
• +۳ مورد دیگر

Peter Cholak is a Professor and Associate Chair in the Department of Mathematics at the University of Notre Dame. He holds a B.S. from Union College (1984), and M.S., M.A., and Ph.D. from the University of Wisconsin (1988, 1991). His research group specializes in logic and computability theory. Cholak's research explores the relationship between computability and definability, with focus areas including automorphisms of computably enumerable sets, Ramsey theory, reverse mathematics, and algorithmic randomness. His work establishes deep connections between computational complexity and definability in arithmetic, such as the classification of orbits in c.e. sets and the computational strength of combinatorial principles. His publications demonstrate consistent focus on computability-theoretic problems with recent expansions into machine learning theory. Key trends include definability in c.e. sets, reverse mathematics of combinatorial theorems, and computational aspects of geometric measure theory. Unifying themes include lattice automorphisms, degree structures, and the limits of formal systems. He has supervised 12 doctoral dissertations in computability theory and related areas. Students have explored topics including algorithmic randomness, lattice embeddings, reverse mathematics, and applications to computer science. Cholak leads the Logic Research Group at Notre Dame, collaborating with researchers globally on problems at the intersection of computability, combinatorics, and foundations of mathematics. Recent work includes computability-theoretic analysis of geometric projections and transformer network expressivity.

• Material Science
• Mathematical Modeling
• Fractal Networks
• +۵ مورد دیگر

Professor Tony Roberts is the Head of School in the School of Mathematical Sciences at Queensland University of Technology (QUT). He holds a PhD from the Australian National University and is a Fellow of the Australian Mathematics Society. His research focuses on the interplay between material microstructure and macroscopic properties, with emphasis on topology optimization, random structure modeling (e.g., Gaussian fields, percolation models), and material property analysis such as conductivity, diffusion, and fluid flow. He develops computational methods for analyzing experimental techniques like 3D statistical reconstruction and small-angle scattering. His recent work includes optimizing piezoelectric materials for robotics, studying diffusion dynamics in fractal networks, and modeling material failure mechanisms. Key contributions span multi-functional piezoelectric components, anisotropic elastic properties of additively manufactured alloys, and fracture mechanics in perforated materials. Awards include his fellowship in the Australian Mathematics Society. Supervision interests include structural optimization, diffusion in random media, and porous material failure modeling. Education: PhD (Australian National University) Affiliations: Faculty of Science, School of Mathematical Sciences Research Themes: Material science, computational modeling, fracture mechanics, stochastic systems

• Quantum Photonics
• Single-Photon Detectors
• Quantum Dots
• +۷ مورد دیگر

Val Zwiller is a Professor at the Royal Institute of Technology (KTH) in the Department of Quantum and Nanophysics, affiliated with the School of Engineering Sciences (SCI). His research focuses on quantum photonics, superconducting single-photon detectors, nanowire quantum dots, and integrated photonic systems. He teaches and coordinates courses such as Quantum Photonics (SK2900) and Quantum Technology (SK2903), and advises on degree projects in engineering and applied physics. Research Interests: Zwiller's work spans quantum entanglement generation, single-photon detection technologies, and applications in quantum communication and sensing. His recent studies include fractal superconducting nanowire detectors, telecom-band quantum dots, and quantum state tomography. His research bridges fundamental quantum physics with practical photonic device development. Course Responsibilities: Quantum Photonics (SK2900) - Examiner, Course Coordinator, Teacher Quantum Technology (SK2903) - Teacher, Assistant Optical Physics (SK2303) - Examiner Supervision of Degree Projects in Engineering Physics and Applied Physics Publications Trends: Zwiller's recent articles emphasize scalable quantum detection systems, nanowire-based quantum emitters, and advanced LIDAR technologies with single-photon sensitivity. His work frequently intersects quantum optics with material science and engineering. Awards/Grants: No specific awards or grants were explicitly mentioned in the provided texts. Lab/Teams: While not detailed in the input, his affiliation with the Department of Quantum and Nanophysics suggests involvement in KTH's quantum photonics and nanotechnology research groups.

Markus Heydenreichمشاهده پروفایل

استاد

• Probability Theory
• Statistical Mechanics
• Random Graphs
• +۷ مورد دیگر

Markus Heydenreich is a Professor at the Institute of Mathematics, Faculty of Mathematics, Natural Sciences and Technology, University of Augsburg. His research focuses on probability theory, particularly discrete random objects in statistical mechanics, mean-field behavior, lace expansion, and spatial random graph models. 2025: Workshop Bayrischzell 2024: Workshop Frauenchiemsee His recent publications highlight critical phenomena in random connection models, percolation, and spatial networks. He contributes to editorial boards and DFG-funded projects, including Random Geometric Systems and Mathematics of Many-Body Quantum Systems . Teaching includes courses on stochastic processes and seminars on probability and forensics. Key research themes: phase transitions, high-dimensional random walks, and mathematical physics applications. Collaborators include Remco van der Hofstad, Christian Hirsch, and Kilian Matzke. The team at Augsburg comprises doctoral researchers and postdocs.

• Nanotechnology
• Metamaterials
• Plasmonics
• +۷ مورد دیگر

Dr. Changxu Liu is a Lecturer in the Department of Electronic Engineering at the University of Exeter, United Kingdom. He is affiliated with the Nano Engineering Science and Technology (NEST) group and the Centre for Metamaterial Research and Innovation (CMRI). Prior to joining Exeter, he served as an Assistant Professor at Northumbria University, UK, and held prestigious research fellowships at Ludwig Maximilian University of Munich (Humboldt and LMU Incoming Fellow) and the University of Birmingham. Education: BSc in Electrical Engineering, Tongji University, China MSc in Electrical Engineering, University of Rochester, USA PhD in Electrical Engineering, King Abdullah University of Science and Technology, Saudi Arabia Changxu Liu's research is centered on nanophotonics, plasmonics, metamaterials, and nanotechnology , with a particular focus on light-matter interactions in disordered and hybrid systems. His work explores topological transitions, hot electron engineering, and energy applications in photocatalysis and electrocatalysis. He employs both theoretical and experimental approaches to design novel nanostructures with unique optical responses. His recent publications reveal a strong trend in leveraging disorder for functional optical materials, enabling applications in structural color, light extraction, and energy conversion. He frequently publishes in high-impact journals such as Nature Nanotechnology , Nature Photonics , and Physical Review Letters , often as corresponding author. His research has attracted international media attention and recognition, including a mention in the Guinness World Record. Scientific Awards and Recognition: Humboldt Research Fellow LMU Incoming Research Fellow Research featured in Guinness World Record Media coverage in The Wall Street Journal, Independent, Daily Mail, and Yahoo Dr. Liu has been actively involved in numerous high-impact collaborative research projects, frequently co-authoring with leading scientists such as Stefan A. Maier, S. Zhang, and Min Liu. While no formal grants are listed, his publication record in premier journals suggests sustained funding and research support. He is likely supervising PhD and postdoctoral researchers, given his role as a corresponding author on multiple studies. He is a key member of the NEST and CMRI research groups at Exeter, which focus on cutting-edge nanoscale engineering and metamaterial innovation. These teams work on both fundamental and applied aspects of light manipulation at the nanoscale, positioning Dr. Liu at the forefront of next-generation photonic technologies.

• Ergodic Theory
• Multifractal Analysis
• Dynamical Systems
• +۳ مورد دیگر

Meng Wu is a professor at the Department of Mathematical Sciences, University of Oulu, Finland. Previously, he held postdoctoral positions at the Einstein Institute of Mathematics, Hebrew University of Jerusalem (2017), and at the University of Oulu (2013-2016), followed by a University Researcher role there (2017-2018). His work bridges ergodic theory, dynamical systems, and fractal geometry. Research interests include multifractal analysis, self-similar sets, and geometric measure theory. Recent work explores Furstenberg-type slicing theorems, scaling limits of self-conformal measures, and projection theorems with applications to exact overlaps conjectures. His publications often employ ergodic theory and dynamical systems to analyze fractal dimensions and geometric properties of sets. Trends in his articles highlight connections between number theory, probability, and fractal geometry, focusing on Hausdorff and Assouad dimensions, oriented random walks, and renormalization techniques. Collaborations include A.H. Fan, J. Schmeling, L.M. Liao, and A. Algom.

• Stochastic Partial Differential Equations
• Chemical Reaction Networks
• Malliavin Calculus
• +۳ مورد دیگر

Dr. Panqiu Xia is a Lecturer in the School of Mathematics at Cardiff University since Autumn 2024. His research focuses on theoretical and applied probability, with expertise in stochastic partial differential equations (SPDEs) and chemical reaction networks (CRNs). Previously, he held postdoctoral positions at Auburn University (USA) and the University of Copenhagen (Denmark). He earned his Ph.D. in Mathematics from the University of Kansas (USA) in 2020 under the supervision of Professors Yaozhong Hu and David Nualart. His research interests include Malliavin calculus, Stein's method, and the analysis of SPDEs such as the parabolic Anderson model and super-Brownian motions. In CRN studies, he investigates stationary distributions and stochastic modeling of biochemical systems. His work bridges pure probability theory with applications in mathematical biology and statistical physics. Dr. Xia has taught courses in statistics, stochastic analysis, and numerical methods at institutions including Auburn University and the University of Copenhagen. His educational background includes a BSc from Wuhan University (China) and an MSc from the University of Macau. Key research themes include the long-term behavior of SPDE solutions, intermittency phenomena, and ergodic properties. His contributions span both theoretical advancements in stochastic analysis and applied problems in chemical reaction systems.

• Composite Materials
• Structural Mechanics
• Fracture Mechanics
• +۵ مورد دیگر

Dr. Muni Rami Reddy Rasappagari is a casual academic staff member at the University of Southern Queensland (UniSQ) , Australia, within the School of Engineering . He holds a Diploma in Civil Engineering from SV Govt Polytechnic Tirupati, a Bachelor of Technology from Nagarjuna University, a Master of Science in Civil Engineering from Indian Institute of Technology (IIT), and a PhD from the University of Madras . His research spans composite materials , structural mechanics , fracture mechanics , and nanomaterials , with a particular focus on graphene-reinforced composites , functionally graded materials , and delamination modeling . His work integrates finite element analysis , fractal methods , and vibration analysis to address complex structural integrity problems. Dr. Rasappagari's recent publications (2018–2022) emphasize graphene nanoplatelet (GPL) reinforcement in composite plates, exploring free and forced vibration , flexural behavior , and boundary condition effects . Earlier work (2007–2009) centered on fractal finite element methods for crack sensitivity analysis and stress intensity factor computation in anisotropic and multi-crack systems . Contact: 📧 muniramireddy.rasappagari@unisq.edu.au

Alexandros ALEXAKISمشاهده پروفایل

استاد

• Hydrodynamics
• Turbulence
• Magnetohydrodynamics
• +۳ مورد دیگر

Professor Alexandros ALEXAKIS is affiliated with the Physics Department at ENS-PSL, where he holds a Professor position at the ENS Physics Laboratory (LPENS). His research focuses on hydrodynamics and turbulence, particularly addressing topics such as turbulent condensates, magnetic reconnection, and large-scale self-organization in fluid systems. He explores fundamental aspects of energy cascades, intermittency, and nonlinear dynamics in both classical and magnetohydrodynamic (MHD) turbulence. His work bridges theoretical frameworks, numerical simulations, and experimental insights to understand complex fluid behaviors in geophysical and astrophysical contexts. Key research interests include the interplay between large-scale flows and turbulent dynamics, the role of helicity in MHD systems, and the statistical properties of turbulent cascades. Recent studies have addressed topics like the spreading mechanisms of turbulence, the impact of fractal forcings on intermittency, and the saturation of turbulent dynamos. His contributions span fluid dynamics, plasma physics, and nonlinear systems, with applications to astrophysical plasmas and geophysical fluid dynamics. Professor ALEXAKIS' research also involves the development of shell models and geometric microcanonical theories to describe turbulent equilibria. He has published extensively on the transition between three-dimensional and quasi-two-dimensional turbulence, the effects of rotation and stratification on energy transfers, and the statistical signatures of fluctuation relations in turbulent systems.

• Uniform Distribution and Discrepancy
• Diophantine Equations
• Analytic Combinatorics
• +۶ مورد دیگر

Robert F. Tichy is a Professor at the Institute of Analysis and Number Theory , Graz University of Technology, Austria. His career spans over four decades with significant contributions to Diophantine equations , uniform distribution , and quasi-Monte Carlo methods . He has held multiple editorial board positions and administrative roles , including Dean of the Faculty of Mathematics, Physics and Geodesy (2018-2019). Research Interests : Uniform distribution, Diophantine equations, algorithmic number theory, fractal structures, quasi-Monte Carlo methods, and mathematics in finance/insurance. Awards : Austrian Mathematical Society award (1985), Honorary Doctorate (University of Debrecen, 2017), Jean-Morlet Chair (2020), and memberships in prestigious societies. Publications : Over 200 papers with recent works (2024) focusing on Diophantine problems , pseudorandom sequences , and Carlitz coefficients . Teaching : Regular courses for engineering and mathematics students, including annual lectures on insurance mathematics .

• Dynamical Systems
• Renormalization Theory
• Complex Dynamics
• +۱۱ مورد دیگر

Michael Yampolsky is a Professor in the Department of Mathematics at the University of Toronto, with appointments at both the St. George and Mississauga (UTM) campuses. He is also the Director of the Centre for Nonlinear Analysis and Modeling (CNAM) at UTM. His research lies at the intersection of pure mathematics and applied modeling, with a strong focus on dynamical systems and their theoretical and computational aspects. Yampolsky earned his PhD from SUNY Stony Brook in 1997 and has held prestigious positions including J.W. Gibbs Instructor at Yale University and Visiting Member at the Institut des Hautes Études Scientifiques in France before joining the University of Toronto faculty in July 2000. He has also held visiting positions at IPAM (UCLA), ETH Zurich, Université de Paris, and IMPA. His research interests span a broad range of topics in dynamical systems , including renormalization theory , Julia sets , Siegel disks , critical circle maps , and computability in dynamics . A significant portion of his work investigates the boundaries of algorithmic computability in complex dynamical systems. He has also contributed to interdisciplinary research in mathematical medicine and biology , particularly in modeling placental morphology and metabolic scaling laws in fetal development. The recent publications reflect a deep engagement with both theoretical and computational themes. The work trends include renormalization hyperbolicity , rigidity of circle maps , computability of dynamical invariants , and structural instability in 2D complex maps . His interdisciplinary projects apply mathematical modeling to placental shape and function, especially in the context of HIV and antiretroviral therapy. He is the author and co-author of several books, including Computability of Julia Sets (Springer, 2008) and Fixed Point of the Parabolic Renormalization Operator (Springer, 2014), and has edited volumes in honor of John Milnor. His publications appear in top-tier journals such as Communications in Mathematical Physics , Annals of Mathematics , Inventiones Mathematicae , and Placenta . Yampolsky advises students and collaborates extensively, particularly in the areas of computable analysis and nonlinear modeling. His research has been supported by major grants, though specific funding sources are not detailed in the text. He leads the Centre for Nonlinear Analysis and Modeling (CNAM), which serves as a hub for interdisciplinary research in dynamical systems and mathematical modeling. Notable labs and teams include: Centre for Nonlinear Analysis and Modeling (CNAM) – Research group focused on dynamical systems, renormalization, and applications in biology and medicine. Collaborative projects with researchers in mathematical biology, particularly in placental modeling and fetal development.

Giulio Tiozzoمشاهده پروفایل

دانشیار

• Dynamical Systems
• Ergodic Theory
• Complex Analysis
• +۵ مورد دیگر

Giulio Tiozzo is an Associate Professor in the Department of Mathematics at the University of Toronto, affiliated with both the St. George and Scarborough campuses. His research lies at the intersection of dynamical systems, ergodic theory, and geometry, with strong connections to complex analysis, probability, and group theory. Institution: University of Toronto School: Faculty of Arts and Science Department: Department of Mathematics Rank: Associate Professor Campus Offices: BA 6206 (St. George), IC 495 (Scarborough) Email: tiozzo@math.utoronto.ca His research focuses on dynamical systems and ergodic theory , particularly entropy in complex and real dynamics, random walks on groups, and thermodynamic formalism. He investigates the structure of the Mandelbrot set, core entropy of polynomials, and geometric group actions. His work combines deep theoretical insights with algorithmic and computational approaches, as seen in his exploration of Thurston’s master teapot and entropy algorithms. The 15 most recent publications reveal a sustained focus on entropy, fractal geometry, and probabilistic group actions. Themes include the continuity and computation of core entropy, thermodynamic formalism for expanding systems, boundary theory for random walks on hyperbolic groups, and metric properties of group actions. His work spans pure mathematics with links to computer science and statistical mechanics. Scientific Awards: 2018 Sloan Research Fellowship (Alfred P. Sloan Foundation) Research and Advising: Giulio Tiozzo leads an active research program supported by NSERC and the Sloan Foundation. He mentors graduate students and postdoctoral researchers, and contributes to academic life through seminars, public lectures, and participation in programs at the Fields Institute. He has delivered invited talks and lecture series internationally, including at ICTS-TIFR, ICERM, and Warwick. Labs and Teams: While not leading a formal lab, Tiozzo collaborates extensively with researchers in dynamical systems and geometry. He is involved in thematic programs at the Fields Institute, such as the 2024 program on Randomness and Geometry, and contributes to the academic community through organized seminars and collaborative research projects.