جست‌وجوی استاد و پژوهشگر

• Quantum Information Theory
• Quantum Many-Body Systems
• Quantum Dissipative Evolutions
• +۲ مورد دیگر

Angela Capel Cuevas is an Assistant Professor of Quantum Information Theory/Theoretical Quantum Computation at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP). Previously, she held a Junior Professorship at Eberhard Karls Universität Tübingen (2021-2024) and was an MCQST Distinguished PostDoc at TU München (2020-2021). Her research focuses on the intersection of quantum information theory and quantum many-body systems, particularly studying thermalization dynamics via quantum functional inequalities. She is a recipient of the Simons Emmy Noether Fellowship and Forbes 30 Under 30 (Spain 2023). Education: PhD in Mathematics, Universidad Autónoma de Madrid/ICMAT (2015-2019) Master in Computational Engineering and Mathematics, URV/UOC (2016-2018) Bachelor in Mathematics, Universidad de Granada (2009-2014) Research: Angela's work applies analytic and geometric tools to quantum systems, emphasizing decay of correlations in Gibbs states and quantum dissipative evolutions. Key topics include entropy inequalities, modified logarithmic Sobolev inequalities, and thermalization rates in spin chains. Her recent work bridges quantum functional analysis with practical implications for quantum computing and thermalization phenomena. Grants & Roles: PI of CRC TRR 352 'Mathematics of Many-Body Quantum Systems' (7M€) Co-PI of QuantERA project TouQan (1.25M€) Organized workshops at BIRS and Tübingen (2023-2024) Awards: Simons Emmy Noether Fellowship (2023) Forbes 30 Under 30 (2023) Vicent Caselles RSME-FBBVA Award (2022) Labs/Teams: Leads a group studying quantum dissipative systems and thermalization at DAMTP. Collaborates with institutions globally on quantum functional inequalities and Gibbs state properties.

Andrew Childsمشاهده پروفایل

استاد

• Quantum Algorithms
• Quantum Information Processing
• Quantum Simulation
• +۲ مورد دیگر

Andrew Childs is a Professor at the University of Maryland, affiliated with the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS). He serves as Director of the NSF Quantum Leap Challenge Institute for Robust Quantum Simulation (RQS) and is a Fellow at the Joint Center for Quantum Information and Computer Science (QuICS). His research focuses on quantum algorithms for simulating physical systems, algebraic problems, and quantum walk protocols, with applications in quantum computing and computational complexity. University of Maryland Institute for Advanced Computer Studies (UMIACS) Joint Center for Quantum Information and Computer Science (QuICS) NSF Quantum Leap Challenge Institute for Robust Quantum Simulation Childs' research spans quantum simulation, quantum Fourier transform, phase estimation, and Hamiltonian dynamics. He has developed techniques to reduce quantum computational resources for simulating quantum systems and explored limitations of quantum computers through hidden subgroup problems and non-unitary dynamics. His publications cover diverse areas including quantum walk optimization, Hamiltonian simulation methods, and applications to cryptography and condensed matter physics. Recent works address spatial search algorithms, product formulas for commutators, and quantum routing protocols. As an educator, Childs has taught courses on quantum algorithms and information processing at both the University of Maryland and University of Waterloo, with lecture notes and materials spanning multiple years. Contact: amchilds@umd.edu | Office: ATL 3359 | Affiliated with University of Maryland's quantum research institutes.

Valter Morettiمشاهده پروفایل

استاد

• Algebraic Quantum Field Theory
• Black Holes
• Functional Analysis
• +۱۰ مورد دیگر

Valter Moretti is a Full Professor in the Department of Mathematics at the University of Trento. His academic career spans roles from Research Fellow to Full Professor, focusing on Mathematical Physics and Quantum Field Theory (QFT) in curved spacetime. He earned an MSc in Physics from Genova University and a PhD in Theoretical Physics from Trento University. Research Interests : Algebraic QFT, General Relativity, Quantum Mechanics, Operator Algebras, and Spectral Theory. His work bridges mathematical rigor with physical applications, particularly in quantum localization, entanglement, and curved spacetime phenomena. Publications : Authored 15+ recent papers on topics like quantum particle localization, entanglement certification, and QFT on curved backgrounds. Collaborated on a 2022 patent for generating entangled photon states. Awards : Holds a patent for a quantum-certified random number generator (2022). Supervision : Advised 8 PhD students, including N. Pinamonti, L. Franceschini, and C. van de Ven. Coordinated national and international research projects (e.g., H2020-MSCA-COFUND-2015). Labs & Collaborations : Affiliated with INFN, TIFPA-INFN, and Q@TN (Quantum@Trento). Organized conferences like Quantum Physics and Geometry (2014) and Quantum Machine Learning (2023). Teaching : Lectures on Analytical Mechanics, Quantum Relativistic Theories, and Special Relativity. Authored textbooks on Spectral Theory and Quantum Mechanics.

Joachim Rosenthalمشاهده پروفایل

استاد

• Coding Theory
• Cryptography
• Algebraic Geometry
• +۲ مورد دیگر

Joachim Rosenthal is a Professor of Applied Mathematics at the University of Zurich's Department of Mathematics, leading the Applied Algebra Group. His research integrates coding theory, cryptography, and algebraic geometry with applications in communications and security systems. His primary research explores algebraic coding theory including convolutional codes, subspace codes, and post-quantum cryptography. He develops algorithms for error correction, code optimization, and cryptographic protocol analysis, with emphasis on mathematical structures in finite fields and rings. Professor Rosenthal serves as President of the Swiss Mathematical Society (2024-2025) and sits on IEEE Information Theory Society's Board of Governors. He has organized multiple international conferences on coding theory and cryptography, including the Zurich COST Meeting and Workshop on Convolutional Codes. His editorial contributions include roles at Archiv der Mathematik and SIAM Journal on Applied Algebra and Geometry. Recent publications focus on code construction methods, complexity analysis in group-based cryptography, and algebraic approaches to error-correcting codes.

Nathan Kaplanمشاهده پروفایل

استاد

• Number Theory
• Algebraic Geometry
• Combinatorics
• +۶ مورد دیگر

Nathan Kaplan is a Professor in the Department of Mathematics at the University of California, Irvine, where he conducts research in number theory, algebraic geometry, and combinatorics. His work spans rational points on varieties over finite fields, arithmetic statistics, coding theory, and the study of numerical semigroups. He is actively involved in the mathematical community, organizing seminars and conferences including the UC Irvine Number Theory Seminar and the Southern California Number Theory Day. Dr. Kaplan received his PhD from Harvard University in 2013 under the direction of Noam Elkies. Following his doctorate, he was a postdoctoral researcher at Yale University from 2013-2015 before joining the faculty at UC Irvine. His research interests focus on the intersection of number theory and algebraic geometry, with particular attention to problems involving rational points on varieties over finite fields, arithmetic statistics, and coding theory. He has made significant contributions to the study of numerical semigroups, cokernels of random p-adic and integer matrices, and quadratic forms and lattices. His work often bridges theoretical mathematics with applications in coding theory and cryptography. Analysis of his recent publications shows a strong trend toward combinatorial aspects of number theory, particularly in the study of numerical semigroups and their properties. He frequently collaborates with researchers across institutions, with recent work spanning algebraic geometry, combinatorics, and coding theory. His publications demonstrate expertise in both theoretical developments and computational aspects of number theory. Dr. Kaplan is deeply committed to undergraduate research and mentoring. He has experience as a mentor for undergraduate research projects through programs including SUMRY (a research program for Yale undergraduates), the University of Minnesota-Duluth REU program, and the Trinity University REU program. He actively encourages undergraduates to apply for summer research opportunities and has organized numerous outreach activities. He is an organizer of the UC Irvine Number Theory Seminar and the Southern California Number Theory Day conference series. In 2018, he co-organized the Conference on Open Questions in Cryptography and Number Theory in honor of Alice Silverberg's 60th Birthday. Dr. Kaplan has given numerous talks at mathematical venues including the Museum of Mathematics' Math Encounters series, where he presented "Error-Correcting Codes: The Mathematics of Communication" in July 2022. He has also spoken at the Yale Undergraduate Math Society, the UCI Math Circle, and various other outreach events.

Tao Meiمشاهده پروفایل

استاد

• analysis
• probability
• noncommutative analysis
• +۴ مورد دیگر

Tao Mei is a Professor of Mathematics at Baylor University, joining in August 2015. Prior to Baylor, he held faculty positions at Wayne State University (2010-2015) and the University of Illinois at Urbana-Champaign (2006-2010). He earned his Ph.D. in Mathematics from Texas A&M University in 2006 under Gilles Pisier. Research Focus: Analysis and probability, particularly noncommutative analysis, free probability, harmonic analysis, and operator algebras. Grants: Supported by NSF awards DMS-2247123 and DMS-2400113. Mei's work bridges operator theory, functional analysis, and quantum probability. His recent publications emphasize Fourier multipliers, maximal inequalities, and noncommutative harmonic analysis. He has mentored PhD students including Chian Y. Chuah, Zhen C. Liu, and Sebastian Vargas Loaiza. He co-organizes international seminars such as the Virtual Noncommutative Analysis Weekly Seminar and leads the Brazos Analysis seminar, supported by NSF DMS-2400113. His invited lectures span institutions like UCSD, Ohio State University, and Ghent University, highlighting his contributions to quantum information theory and operator analysis.

• Semigroup Theory
• Tropical Algebra
• Geometric Group Theory
• +۵ مورد دیگر

Mark Kambites is a Professor of Pure Mathematics at the University of Manchester , affiliated with the Department of Mathematics. His research focuses on semigroup theory, tropical algebra, geometric group theory, and formal languages. He holds roles including membership in the EPSRC Strategic Advisory Team (SAT) and editorial positions in journals like the International Journal of Algebra and Computation. Education: M.Math. Mathematics and Computer Science, University of York (2000) Ph.D. Pure Mathematics, University of York (2003) Research Interests: Kambites explores semigroup structures, tropical algebra's applications, and interactions between algebra and geometry. Key areas include matrix semigroups over tropical semifields, combinatorial group theory, and computational complexity. His work bridges pure mathematics and theoretical computer science. Grants and Collaborations: Leads the Centre for Digital Trust and Society (EPSRC-funded) and collaborates internationally. Serves as central organizer of the North British Semigroups and Applications Network (NBSAN). Affiliations: Active in the Algebra Group, Tropical Mathematics Group, and Data Science Institute at Manchester. Supervises PhD/MSc students in algebraic and computational mathematics.

Chris Monicoمشاهده پروفایل

دانشیار

• Cryptology
• Computational Algebra
• Number Theory
• +۶ مورد دیگر

Chris Monico is an Associate Professor in the Department of Mathematics & Statistics at Texas Tech University . He has been a faculty member there since 2003, following post-doctoral research at the University of Notre Dame. Education B.S. in Mathematics – Monmouth University M.S. in Mathematics – University of Notre Dame Ph.D. in Mathematics – University of Notre Dame Research Focus Monico’s scholarship centers on the intersection of cryptology , computational algebra , and number theory . A significant recent thrust has been the application of machine-learning techniques to mathematical finance , evidenced by work on random-forest models for option pricing and high-frequency trading risk metrics. Parallel lines of inquiry include post-quantum cryptographic schemes built on tropical algebra and semigroup actions, as well as classical problems in Ramsey theory and combinatorial semigroups . Publication Trends Between 2015 and 2025 Monico has published prolifically, with a clear shift around 2020 toward mathematical finance and machine-learning applications , alongside continued output in algebraic cryptanalysis and combinatorics . His 2024–2025 articles emphasize data-driven models in trading, whereas 2020–2021 works concentrate on cryptanalyses of tropical and group-based key-exchange systems. Earlier contributions focus on computational number theory and semigroup-based cryptography. Contact Information Email: c.monico@ttu.edu Phone: 806-834-4144 Office: Department of Mathematics & Statistics, Texas Tech University, 1108 Memorial Circle, Lubbock, TX 79409-1042 Advising & Grants No specific doctoral or master’s students, funded grants, or named awards are detailed in the provided text. Laboratory or Research Group The text does not mention any dedicated laboratory or research group.

• C-Algebras
• Monoids
• Leavitt Path Algebras
• +۳ مورد دیگر

Pere Ara Bertran is a Professor in the Department of Mathematics at the Universitat Autònoma de Barcelona (UAB). He has held academic roles including Titular Numerario (1987–1998) and Profesor Colaborador (1983–1987). His research focuses on ring theory, C*-algebras, and their interactions with dynamics and combinatorics. He has led multiple projects funded by institutions like the Spanish Ministry of Economy and Competitiveness (MINECO) and the European Regional Development Fund (FEDER). Education: Ph.D. in Mathematical Sciences (UAB, 1986); Degree in Mathematical Sciences (UAB, 1981) Projects: CLASSIFICATION, STRUCTURE, AND REGULARITY PROPERTIES OF RINGS, MODULES, C*-ALGEBRAS, AND DYNAMICS (2024–2027); ANILLOS, MODULOS, C*-ALGEBRAS, Y DINAMICA: CLASIFICACION, ESTRUCTURA FINA Y REGULARIDAD (2021–2024) His work explores topics like Cuntz semigroups, regular rings, and monoids, with contributions to algebraic structures and functional analysis. He collaborates internationally on projects bridging algebra, topology, and dynamics.

Paul C. Bellمشاهده پروفایل

پژوهشگر ارشد

• Theoretical Computer Science
• Formal Language Theory
• Reachability Problems
• +۸ مورد دیگر

Dr Paul C. Bell is a Research Fellow in Computer Science currently affiliated with Liverpool John Moores University since 2017, maintaining a continuing Visiting Fellow position at Loughborough University where he previously served as a lecturer from 2011 to 2017. His academic foundation includes postdoctoral research at Turku University (Finland), Universite catholique de Louvain (Belgium), and Liverpool University following doctoral studies. His educational background comprises: BSc, University of Liverpool PhD, University of Liverpool Dr Bell specializes in Theoretical Computer Science and Formal Language Theory, investigating the boundaries of tractability and computability for reachability problems across mathematical models including matrix semigroups, hybrid systems, and probabilistic/quantum automata. His interdisciplinary work bridges Computer Science, Physics, and Mathematics through encodings of optimization problems for adiabatic quantum computers, alongside contributions to energy-efficient computing via speed-scaling algorithms for multi-processor systems. With over twenty publications in leading international venues, he actively serves as a reviewer and program committee member for conferences such as Reachability Problems 2017.

• Mathematical Physics
• Partial Differential Equations
• Probability
• +۳ مورد دیگر

Felipe Hernández is an Assistant Professor in the Department of Mathematics at Pennsylvania State University. He is affiliated with the Department of Mathematics, located in McAllister Building, and can be contacted at felipeh@psu.edu. His research interests span Mathematical Physics, Partial Differential Equations, and Probability, with a focus on quantum systems, stochastic processes, and theoretical analysis of complex systems. His work explores topics such as quantum diffusion in disordered systems, decoherence dynamics, and the interplay between classical and quantum mechanics. He also investigates computational methods like neural networks to enhance accuracy in quantum chemistry calculations and explores foundational questions in quantum computing, such as BosonSampling complexity. Recent contributions include studies on Hodge systems, divergence-free vector fields, and endpoint estimates in functional analysis. While no specific awards or grants are listed, his research demonstrates a commitment to advancing mathematical physics and computational methods through rigorous theoretical analysis and interdisciplinary approaches.

Sarah Kochمشاهده پروفایل

استاد

• Complex Dynamics
• Teichmüller Theory
• Algebraic Geometry
• +۲ مورد دیگر

Sarah C. Koch is a Professor in the Department of Mathematics at the University of Michigan. She received her B.S. from Rensselaer Polytechnic Institute (2001), M.S. from Cornell University (2005), and dual Ph.D.s from Université de Provence (2007) and Cornell University (2008). Her research spans complex dynamics, Teichmüller theory, algebraic geometry, and topology, focusing on dynamical moduli spaces. Education: B.S., Rensselaer Polytechnic Institute (2001) M.S., Cornell University (2005) Ph.D., Université de Provence (2007) Ph.D., Cornell University (2008) Her work investigates complex dynamical systems in one and several variables, with a strong emphasis on analytic and algebraic approaches to moduli spaces. She has contributed significantly to understanding Thurston maps, rational map dynamics, and algebraic structures in moduli spaces. Her recent publications address boundary stable Thurston maps, Gleason polynomial factorization, and eigenvalues of the Thurston operator. She has received prestigious awards, including the Class of 1923 Memorial Teaching Award, Harold R. Johnson Diversity Service Award, and Haimo Award from the MAA. Scientific Awards: Class of 1923 Memorial Teaching Award Harold R. Johnson Diversity Service Award Haimo Award from the MAA As the Director of the Math Corps program at the University of Michigan, she fosters educational initiatives for middle and high school students from Ypsilanti and Detroit. She actively organizes seminars and outreach programs, including Bagel Sundays and Michigan Math Circle.

• Quantum Information Theory
• Quantum Many-Body Systems
• Mathematical Physics
• +۲ مورد دیگر

Dr. Angela Capel Cuevas is an Assistant Professor at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics since April 2024. Previously, she held a Junior Professorship (W1) at Eberhard Karls Universität Tübingen's Mathematical Physics area (2021-2024), and was an MCQST Distinguished PostDoc at Technische Universität München (2020-2021). Her research sits at the intersection of Quantum Information Theory and Quantum Many-Body Systems , focusing on quantum dissipative evolutions and their mathematical characterization through quantum functional inequalities and entropic bounds . 2023-26: CRC TRR 352 grant on "Mathematics of Many-Body Quantum Systems" (7M€) 2024-27: QuantERA project "Towards a useful quantum advantage" (TouQan, 1.25M€) Her recent work demonstrates rapid thermalization in 1D quantum systems with logarithmic time scaling and establishes exponential mutual information decay for Gibbs states. She co-organized BIRS-IMAG workshops on quantum information theory and received the Jack Keil Wolf ISIT Student Paper Award (2023). Her PhD thesis (ICMAT/Universidad Autónoma de Madrid, 2019) introduced quasi-factorization techniques for relative entropy, leading to groundbreaking results in quantum functional inequalities. 2023: Simons Emmy Noether Fellowship at Perimeter Institute 2023: Forbes 30 Under 30 Spain 2022: Vicent Caselles RSME-FBBVA Award

• Functional Analysis
• Operator Theory
• Semigroup Theory
• +۷ مورد دیگر

Felix Leopold Schwenninger is an Associate Professor at the University of Twente, affiliated with the Digital Society Institute and working in Mathematical Systems Theory. His research lies at the intersection of functional analysis, operator theory, and control systems, with a strong focus on semigroups, admissibility, and functional calculus. His research interests include: Functional Analysis and Operator Theory Admissibility and Controllability in Infinite-Dimensional Systems Semigroup Theory and Evolution Equations Functional Calculus for Operators Numerical Range and Spectral Theory Mathematical Foundations of Control Systems His recent publications (2024–2025) show a strong trend in duality concepts in stability, sharp bounds in functional calculus, and structural properties of operators in Banach spaces. These works are primarily theoretical, contributing to the rigorous mathematical underpinnings of control and operator theory. Scientific contributions and service include: Associate Editor, Optimal Control Applications and Methods (since 2021) Active publication in top mathematical journals and preprint servers (e.g., arXiv) Contributor to conference presentations, including on Barron spaces and embeddings He has supervised at least one PhD student (T. Heeringa) and continues to be actively involved in research, editorial work, and academic collaboration. He is part of a vibrant network in applied mathematics and systems theory, with international collaborations evident in recent outputs.

• Computational Statistics
• Machine Learning
• Generative Modelling
• +۷ مورد دیگر

O. Deniz Akyildiz is an Assistant Professor in Statistics at the Department of Mathematics, Imperial College London. His research focuses on computational statistics, machine learning, and generative modelling, with applications to sampling, optimization, and inverse problems. He holds affiliations with the Artificial Intelligence Network and Mathematics research groups. Previously, he obtained degrees in Electronics and Communications Engineering from İTÜ, followed by a PhD in Signal Processing at Universidad Carlos III de Madrid. Before joining Imperial, he worked as a postdoctoral researcher at Warwick CS and The Alan Turing Institute. His research interests span diffusion-based parameter estimation, score-based generative models, Langevin dynamics for optimization, and adaptive importance samplers. Recent work includes contributions to latent diffusion models, Sinkhorn semigroups, and stochastic filtering techniques. Notable publications include works on statistical finite elements, interacting particle Langevin algorithms, and physics-informed deep generative models. His technical blog almost stochastic and GitHub repository provide further insights into his research.