جست‌وجوی استاد و پژوهشگر

Daniele Turchettiمشاهده پروفایل

استادیار

• Algebraic Geometry
• Number Theory
• Non-Archimedean Analytic Geometry
• +۹ مورد دیگر

Daniele Turchetti is an Assistant Professor in the Department of Mathematical Sciences at Durham University, where he teaches advanced mathematics and data science courses. His academic journey includes a PhD from Paris-Saclay University (2014) and postdoctoral positions at Leiden University, Max-Planck Institute for Mathematics, Caen University, Dalhousie University, and Warwick University. His educational background includes: PhD in Mathematics from University of Paris-Saclay (2011-2014) Turchetti's research spans pure mathematics and educational applications. His primary interests focus on the intersection of algebraic geometry and number theory, particularly non-Archimedean analytic geometry, Galois theory, and their applications to problems in positive characteristic. He also explores connections to toric varieties, logarithmic structures, dynamical systems, and modular forms. In addition, he has developed significant interests in mathematics education, including e-assessment, student engagement, and the application of statistical learning to advance pure mathematics. His publication record demonstrates a consistent focus on Berkovich geometry and related topics in non-Archimedean geometry, with recent expansion into applications of algebraic geometry to other scientific fields and machine learning techniques in mathematical research. His work often involves collaborations with researchers across Europe and North America. Turchetti is actively involved in mathematical outreach, serving as chair of the mathematical science outreach committee at Durham University. He has collaborated with numerous organizations including Images des Mathématiques, Fête de la Science, and various STEM outreach initiatives in Atlantic Canada and the UK, focusing on demonstrating that 'mathematics is useful, empowering, and beautiful' to diverse audiences. As an educator, he teaches courses including 'Data Exploration, Visualization, and Unsupervised Learning' and 'Multilevel Modelling,' and supervises undergraduate research projects on algebraic geometry topics. His teaching philosophy emphasizes effective assimilation of mathematical concepts and communicating the beauty of mathematics to students.

Otto Felixمشاهده پروفایل

استاد

• Micromagnetics
• Coarsening
• Stochastic Homogenization
• +۳ مورد دیگر

Felix Otto is a Professor and Director at the Max Planck Institute for Mathematics in the Sciences (Leipzig, Germany) since 2010. Previously, he held Full Professorships at the University of Bonn (1999–2010) and the University of California, Santa Barbara (1998–1999). His research focuses on applied mathematics, including micromagnetics, coarsening dynamics, stochastic homogenization, and hydrodynamic limits. He has received prestigious awards such as the Gottfried Wilhelm Leibniz Prize (2006) and the Max Planck Research Prize (2001). Education: 1993 PhD in Mathematics (advisor S. Luckhaus), University of Bonn 1990 Diploma in Mathematics (advisor G. Dziuk), University of Bonn Research interests emphasize the interplay between analysis, probability, and physics, particularly in understanding complex systems through rigorous mathematical methods. His work on gradient flows and optimal transport has led to foundational contributions in applied mathematics. Awards: Collatz Prize (2007) Membership in Berlin-Brandenburg Academy (2014) Leopoldina Academy (2008) Professional activities include roles as Editor of Archive for Rational Mechanics and Analysis and advisory roles at institutions like the Weierstrass Institute and Fondation Mathématique Jacques Hadamard.

Michael Heiselمشاهده پروفایل

مدرس

• Fluid Mechanics
• Environmental Engineering
• Geophysical Fluid Dynamics
• +۳ مورد دیگر

Dr. Michael Heisel is a Lecturer and Director of Outreach in the School of Civil Engineering at The University of Sydney. He holds a PhD in Civil Engineering from the University of Minnesota (2020) with a minor in Aerospace Engineering, and previously worked as a postdoctoral fellow at UCLA. His research focuses on fluid mechanics in environmental and geophysical contexts, particularly boundary layer turbulence and its modeling applications. He teaches CIVL5670 (Reservoir, Stream and Coastal Engineering) and leads outreach initiatives to engage high school students in civil engineering. He serves as an associate editor for ARC Geophysical Research , advocating for open-access publishing. His research combines experimental methods (e.g., particle image velocimetry) and computational simulations (e.g., large-eddy modeling) to study turbulence dynamics in atmospheric and aquatic systems. Research interests include the structure of turbulent boundary layers in the atmosphere, oceans, and rivers; stochastic modeling of velocity profiles; and the impact of turbulence on environmental processes like dust transport and snow particle behavior. His work bridges fundamental fluid dynamics with practical applications in climate modeling, wind energy, and infrastructure design. Current research students are investigating atmospheric boundary layer structures, reactive particle effects on convection, and forest canopy wind dynamics. Michael has collaborated on predictive models for fluvial bedforms and hydrokinetic turbine scour, demonstrating his interdisciplinary approach to civil and environmental challenges.

Tsvetanka Sendovaمشاهده پروفایل

پژوهشگر

• Applied Mathematics
• Linear Algebra
• Fracture Mechanics
• +۳ مورد دیگر

Tsvetanka Sendova is a Researcher in the Department of Mathematics at Michigan State University. She holds a Ph.D. in Mathematics from Texas A&M University (2008) and a Bachelor of Science in Mathematics from Sofia University St. Kliment Ohridski, Bulgaria (2002). Her research focuses on applied mathematics, including fracture mechanics, evolutionary game theory in biological systems, and matrix analysis. She has contributed to teaching, such as MTH 421-Analysis II in Spring 2020. Education : Doctor of Philosophy in Mathematics, Texas A&M University (2008) Bachelor of Science in Mathematics, Sofia University, Bulgaria (2002) Research Interests : Dr. Sendova’s work spans fracture mechanics (surface tension effects, nanoscale modeling), applications of evolutionary game theory to cancer dynamics, and linear algebra studies on matrix numerical ranges and Gau-Wu numbers. Her research in hyperelastic materials explores constitutive models and strong ellipticity conditions. These efforts bridge theoretical mathematics with practical applications in material science and biological systems. Grants & Advising : No specific grants or student advisees are listed in her profile. She contributes to academic mentoring through initiatives like the Center for Instructional Mentoring and Math Learning Center. Labs/Teams : Her research is conducted within the Department of Mathematics at MSU, with collaborations across academic disciplines.

Joni Teravainenمشاهده پروفایل

استادیار

• Analytic Number Theory
• Additive Combinatorics
• Ergodic Theory
• +۳ مورد دیگر

Joni Teräväinen is an Assistant Professor at the University of Cambridge , affiliated with the Department of Pure Mathematics and Mathematical Statistics. His research is funded by an ERC Starting Grant and has been supported by prestigious fellowships including the Academy Research Fellow, Marie Curie Fellow, and von Neumann Fellow. Current Role: Assistant Professor, University of Cambridge Previous Roles: Academy Research Fellow (University of Turku), von Neumann Fellow (IAS), Titchmarsh Research Fellow (University of Oxford) His research interests lie at the intersection of analytic number theory , additive combinatorics , and ergodic theory , with a focus on multiplicative functions, prime distribution, and higher-order Fourier analysis. Recent work explores correlations of multiplicative functions, Fourier uniformity in short intervals, and applications to the Chowla and Elliott conjectures. Joni has published extensively in top journals including the Journal of the European Mathematical Society , Annals of Mathematics , and Proceedings of the London Mathematical Society . His publications reveal a trend toward quantitative bounds for Gowers uniformity, shifted exponential composites, and function field analogues of classical problems. Scientific Awards: ERC Starting Grant Academy Research Fellow Marie Curie Fellow von Neumann Fellow Academy of Finland Postdoctoral Researcher Titchmarsh Research Fellow Contact: jt945@cam.ac.uk . More details are available on his personal homepage .

Ganesh Lalitha Gopalakrishnanمشاهده پروفایل

استاد

• Computer Science
• Formal Methods
• High-Performance Computing (HPC)
• +۶ مورد دیگر

Ganesh Gopalakrishnan is a Professor of Computer Science at the University of Utah's School of Computing. His research focuses on software correctness, floating-point arithmetic, and formal methods for HPC applications. He leads the ComPort DOE project and NSF REU Site on Trust and Reproducibility. He has advised 26 PhD students and holds seven active NSF grants and a DOE award. Education: B.Sc.(EE), National Institute of Technology Calicut (1978) M.Tech (EE), Indian Institute of Technology Kanpur (1980) PhD in Computer Science, Stony Brook University (1986) Research Interests: Formal methods, HPC correctness, GPU debugging, floating-point error analysis, neural network compression, and reproducible scientific computing. His tools include FPBoxer, HiRace, and FPDetect. Awards & Recognition: ACM Distinguished Scientist IEEE Senior Member University of Utah Beacon of Excellence Award (2012) NSF and DOE funding leadership Labs & Projects: Principal Investigator of the ComPort project (DOE) and NSF REU Site. Co-developed the Jove system for automata education and the Flit floating-point testing framework.

Dimitar Jetchevمشاهده پروفایل

استاد

• Number Theory
• Arithmetic Geometry
• Mathematical Cryptology
• +۲ مورد دیگر

Dimitar Jetchev is a Swiss National Science Foundation Professor in number theory, arithmetic algebraic geometry, and mathematical cryptology at the School of Basic Sciences, EPFL. He leads the GR-JET research group and holds positions in the Mathematics Section (TAN) and SMA-GE unit. University of California at Berkeley, Ph.D. in Mathematics (2008) Harvard University, B.A. in Mathematics (2004) Jetchev's research spans number theory and cryptography, focusing on elliptic curves, Selmer groups, Euler systems, Heegner points, and complexity analysis of cryptologic algorithms. His work bridges pure mathematics and cryptographic applications like ECC and symmetric key protocols. His recent publications analyze isogeny graphs of abelian varieties, discrete logarithm problems in genus 2, equidistribution phenomena, and Euler systems. These works explore connections between automorphic representations, unitary groups, and cryptologic algorithms. Swiss National Science Foundation Professor Jetchev has advised PhD students including Boumasmoud Mohamed Réda, Dudeanu Alina, and Vuille Marius Lorenz. His research group GR-JET collaborates with institutions like IHES and EPFL's LACAL lab. He works on unitary Shimura varieties, special cycles, and their applications to Iwasawa theory and the Bloch-Kato conjecture. The GR-JET group investigates isogeny-based cryptosystems and algorithmic improvements in discrete logarithm computations.

• Turbulent Flow Modeling
• Wind Energy
• Renewable Energy Integration
• +۸ مورد دیگر

Luciano Castillo is a Professor at the School of Mechanical Engineering within the College of Engineering at Purdue University . His research spans turbulent boundary layers, wind energy, renewable energy integration, and bio-inspired engineering, with a focus on societal impacts such as energy-water nexus and social equality. Turbulent Flow Modeling with emphasis on initial conditions and micro-surfaces Wind Energy optimization and boundary layer interactions Renewable Energy Integration with water and thermal storage Biomedical Engineering applications in respiratory flow studies His recent publications explore robotics for classroom safety, mangrove-inspired erosion prevention, and renewable-powered desalination. Awards include the Alumni Distinguished Career Award (2023), ASME Fellow (2013), and multiple best paper awards. He leads initiatives like the US-Mexico Energy Corridor and contributes to interdisciplinary labs focusing on energy and societal challenges.

• Zero-Knowledge Proofs
• Lattice-Based Cryptography
• Error-Correcting Codes
• +۳ مورد دیگر

Jonathan Bootle is a cryptography researcher in the Foundational Cryptography group at IBM Research – Zurich , specializing in efficient zero-knowledge proofs. He holds a PhD from University College London and a Mathematics degree from Clare College, University of Cambridge . Education : PhD (UCL), Mathematics (Part III, Cambridge) His research focuses on zero-knowledge proofs , lattice-based cryptography , and error-correcting codes , with applications in post-quantum security. Recent work includes formal verification of protocols, elastic SNARKs, and generalized key exchange mechanisms. Key publication trends: 2024: Formal verification of sumcheck protocol 2023: Lattice-based credentials and succinct arguments 2022: Gemini SNARKs and DualDory linkable signatures He teaches the 2024 ETH Zurich course on Zero-Knowledge Proofs , covering sigma protocols, Fiat-Shamir transformations, and polynomial commitments. Labs/Teams: Foundational Cryptography group, IBM Security Department Collaborations with UC Berkeley (Alessandro Chiesa) and UCL (Jens Groth)

• Asymptotic statistics
• Branching processes
• Limit theorems
• +۴ مورد دیگر

Prof. Dr. Matthias Meiners is a faculty member at Justus-Liebig-University Giessen, holding the Chair of Stochastics within the Mathematical Institute. His research focuses on Asymptotic statistics Branching processes Limit theorems Random walks in random environments Regenerative processes Renewal theory Statistical mechanics . Recent publications analyze complex stochastic phenomena across branching processes, random walks, and renewal equations, with 2025 preprints on CMJ explosions and Markov renewal expansions. 2024 works examine active Brownian particle dynamics and supercritical branching fluctuations. Earlier studies address kinetic equations, martingale convergence, and percolation model speeds. Contact: Email: Matthias.Meiners@math.uni-giessen.de Phone: 0641 99-32100 Office: Room 216, Arndtstr. 2, 35392 Gießen

Gregory Londeمشاهده پروفایل

مدرس ارشد

• Transnational Literature
• Comparative and Transnational Poetry
• 20th/21st Century American Literature
• +۷ مورد دیگر

Gregory Londe is a Senior Lecturer in the Department of Literatures in English at Cornell University, affiliated with the College of Arts and Sciences. His research and teaching focus on transnational literature and culture, with expertise in 20th and 21st century Anglophone literatures, comparative poetics, and the intersections of literature with science, mathematics, and cartography. He holds a PhD from Princeton University and degrees from Washington University in St. Louis. His work bridges disciplines, including studies of long poems’ relationship to quantification, transnational poetry and global-regional cartography (via ‘logarithmic reading’), and comic books as sites of ‘delinquent reading.’ He is the co-editor of The Cracked Lookingglass: Essays in Honor of the Leonard L. Milberg Collection of Irish Prose Writers (2010) and authored The Poetics of Large Numbers: Long Poems, Imperial Metrics, and Cosmopolitical Space , analyzing poetry’s engagement with global scale and measurement. Teaching includes courses on cultural studies, comic books, and writing across cultures. Current research projects explore logarithmic reading methodologies and the material history of serialized media. Londe advocates for archival investigations into how literacy and numeracy are measured, emphasizing literature’s role in resisting colonial enumeration systems.

• Analysis
• Functional Analysis
• Complex Analysis
• +۵ مورد دیگر

apl. Prof. Dr. Jürgen Müller is an Adjunct Professor of Mathematics at the University of Trier, affiliated with the Department IV - Mathematics. He specializes in Analysis, Functional Analysis, Complex Analysis, and related fields. He has extensive teaching experience, including courses on Analysis, Differential Equations, Number Theory, and Functional Analysis. His research focuses on topics such as Taylor series behavior, universality of functions, approximation theory, and operator theory. Research interests span Holomorphic functions, Dynamical systems, Operator theory, and the interplay between Analysis and Algebra. He has authored numerous publications in prestigious journals like Potential Analysis , Mathematische Zeitschrift , and Proceedings of the American Mathematical Society . His recent work includes studies on Fourier integral formulas, spaceability in function spaces, and the universality properties of meromorphic functions. He serves as a study advisor for mathematics programs and has contributed to educational materials for undergraduate and graduate courses.

Tuomas Orponenمشاهده پروفایل

دانشیار

• Geometric Measure Theory
• Harmonic Analysis
• Fractal Geometry
• +۴ مورد دیگر

Tuomas Orponen is an Associate Professor in the Department of Mathematics and Statistics at the University of Jyväskylä, Faculty of Mathematics and Science. His research focuses on geometric measure theory, harmonic analysis, and fractal geometry, with particular interests in incidence geometry, Fourier analysis, and metric geometry. Orponen is affiliated with the research groups for Nonlinear Partial Differential Equations and Geometric Measure Theory and Harmonic Analysis. His work explores topics such as projections of fractal sets, additive properties of fractal configurations, and geometric incidence problems. He leads projects in approximate incidence geometry, multi-scale incidence geometry, and incidences on fractals. His research trends include advancing understanding of geometric and analytic properties of fractals, exploring connections between incidence geometry and harmonic analysis, and studying the interplay between discrete and continuous geometric structures. Recent articles highlight investigations into radial projections, Kakeya-type sets, and the discretised ABC sum-product problem. Orponen has no listed scientific awards but has contributed to significant collaborative projects, including studies on Heisenberg group geometries and singular integrals. He actively publishes in top journals such as Transactions of the American Mathematical Society and Geometric and Functional Analysis. His research is anchored in two core teams: the Nonlinear PDE group and the Geometric Measure Theory team, reflecting his dual focus on analytical and geometric methodologies.

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.

Damu Radhakrishnanمشاهده پروفایل

دانشیار

• Low Power Digital Architectures
• High-Performance Arithmetic Circuits
• Reversible Logic
• +۳ مورد دیگر

Damu Radhakrishnan is an Associate Professor in the Department of Computer Engineering at SUNY New Paltz. He holds a Ph.D. in Electrical Engineering from the University of Idaho, following B.Sc. and M.Tech. degrees from the University of Kerala and IIT Kanpur, India. His research focuses on low-power digital architectures, high-performance arithmetic circuits, reversible logic, and bio-medical instrumentation. He teaches courses including Introduction to Engineering Science, Digital Logic Lab, Digital Systems Design, and Senior Design Project 2. Dr. Radhakrishnan has contributed to over 20 publications since 1983, emphasizing low-power circuit design, residue arithmetic, and biomedical device development. His work spans analog-to-residue converters, fault-tolerant systems, and medical instrumentation. Key technical reports include contributions to NASA Langley Research Center and EG&G Corporation projects. His research trends reflect a sustained focus on energy-efficient digital systems, with early contributions to CMOS power optimization and later advancements in biomedical device testing. His publications demonstrate expertise in both theoretical foundations (e.g., switching theory textbooks) and applied engineering (e.g., defibrillator analyzers). Dr. Radhakrishnan maintains an active lab in Resnick Engineering Hall, where he oversees senior design projects and collaborates on interdisciplinary engineering solutions. His technical reports highlight contributions to medical simulation tools, VLSI implementation methods, and analog-digital interface design.