جست‌وجوی استاد و پژوهشگر

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.

Alexander Gorodnikمشاهده پروفایل

استاد

• Dynamical Systems
• Analytic Number Theory
• Diophantine Approximation
• +۵ مورد دیگر

Alexander Gorodnik is a Professor of Mathematics at the University of Zurich, focusing on the interplay between dynamical systems and number theory. His work bridges ergodic theory, homogeneous dynamics, and Diophantine approximation, with applications to arithmetic counting problems and geometric distribution of lattice orbits. Current lectures include MAT121: Analysis I and MAT221: Analysis III at the University of Zurich Co-author of the book The ergodic theory of lattice subgroups (Princeton University Press, 2010) Editor of the journal Ergodic Theory and Dynamical Systems His research explores Diophantine approximation through dynamical systems, investigating how orbits of group actions distribute in homogeneous spaces. Key topics include mixing properties , central limit theorems , and metric theorems for multiplicative approximation. Recent publications address automorphic density estimates , discrepancy in intrinsic Diophantine approximation , and effective equidistribution of translated measures. His work often employs tools from representation theory and spectral analysis . Current working group members include Zhiyuan Deng , Zouhair Ouaggag , and Yuval Yifrach . He has taught courses at institutions in Zurich, Bristol, Princeton, and Mumbai, with lecture materials covering topics from ergodic theorems to Každan's property (T) .

• Number Theory
• Diophantine Geometry
• Arithmetic Algebraic Geometry
• +۳ مورد دیگر

Prof. Dr. Philipp Habegger is a faculty member at the University of Basel's Department of Mathematics and Computer Science . His research focuses on Number Theory , specifically Diophantine Geometry, heights on abelian varieties, unlikely intersections, and algebraic number theory. He leads the Research Group in Number Theory and participates in collaborative seminars like the Number Theory Web Seminar with Mike Bennett and Alina Ostafe. Contact : philipp.habegger@unibas.ch | +41 61 207 26 98 Office : Spiegelgasse 1, 4051 Basel, Switzerland Academic Role : Research and teaching in number theory and Diophantine problems Research Overview Habegger's work addresses fundamental questions about the distribution of special points on algebraic varieties and the arithmetic properties of polynomial dynamics. His recent publications analyze degeneracy loci in abelian families, canonical heights, and the geometric Bogomolov conjecture. The 15 most recent articles reflect a focus on number theory, algebraic geometry, and effective bounds in Diophantine problems. Scientific Collaborations Collaborated with Ziyang Gao, Harry Schmidt, Umberto Zannier, and others Contributed to journals: Annals of Mathematics , Forum of Mathematics, Sigma , Compositio Mathematica Key themes: Abelian varieties , Heights , Unlikely intersections , CM jacobians

• Cryptography
• Post-Quantum Cryptography
• Elliptic Curve Cryptography
• +۳ مورد دیگر

David Jao is a Professor in the Department of Combinatorics and Optimization at the University of Waterloo. His research focuses on post-quantum cryptography, particularly leveraging isogenies of supersingular elliptic curves for secure cryptographic protocols. He is renowned for co-developing the Supersingular Isogeny Key Encapsulation (SIKE) protocol, a leading candidate for post-quantum cryptography standards. His work spans theoretical foundations and practical implementations, including optimizing isogeny-based systems for embedded devices and ARM processors. Research interests include isogeny-based cryptosystems, elliptic curve cryptography, zero-knowledge proofs, and cryptographic security against quantum attacks. He explores applications of expander graphs and Ramanujan graphs in cryptography, alongside algorithmic improvements for cryptographic protocols such as SIDH (Supersingular Isogeny Diffie-Hellman). Key contributions include advancements in key compression techniques for SIKE, side-channel attack mitigation, and formalizing security models for post-quantum key exchange. His publications analyze cryptographic hardness assumptions, such as the discrete logarithm problem in finite groups and the semidirect product structure in isogeny-based systems. Jao’s work bridges theoretical mathematics and applied cryptography, with a focus on ensuring practical security in next-generation cryptographic systems. His research addresses challenges in quantum-resistant authentication, key establishment, and digital signatures, often emphasizing efficiency and resistance to both classical and quantum attacks.

Parviz Moinمشاهده پروفایل

استاد

• Computational Physics
• Turbulent Boundary Layers
• Hypersonic Flows
• +۴ مورد دیگر

Parviz Moin holds the Franklin P. and Caroline M. Johnson Professorship in Stanford University's School of Engineering. As founding director of the Center for Turbulence Research (CTR)—a NASA-Stanford consortium established in 1987—he has pioneered computational methods for turbulence physics, including direct numerical simulation and Large Eddy Simulation (LES) techniques. CTR serves as an international hub for turbulence studies across engineering, mathematics, and physics disciplines. Moin's research encompasses computational physics of turbulent flows, with emphasis on boundary layer control, hypersonic aerodynamics, propulsion systems, and aircraft icing. His recent work advances high-fidelity simulations for aerospace applications, particularly developing wall models for LES that accurately capture separation phenomena under complex pressure gradients and Reynolds number effects. Recent publications demonstrate extensive applications of LES to aircraft design challenges, including transonic buffet prediction, high-lift configuration analysis, and icing aerodynamics. Investigations consistently address fundamental turbulence physics while developing practical computational tools for aerospace engineering, with particular focus on hypersonic boundary layers, flow separation mechanisms, and conjugate heat transfer in iced environments.

Myrto Mavrakiمشاهده پروفایل

استادیار

• Arithmetic Geometry
• Dynamical Systems
• Unlikely Intersections
• +۷ مورد دیگر

Myrto Mavraki is an Assistant Professor in the Department of Mathematics at the University of Toronto, with affiliations to both the St. George and Mississauga campuses. She specializes in arithmetic geometry and dynamical systems, particularly the theory of unlikely intersections and canonical heights in families of rational maps. Institution: University of Toronto School: Faculty of Arts and Science Department: Department of Mathematics Rank: Assistant Professor Her research focuses on deep connections between arithmetic geometry and dynamical systems. Key areas include equidistribution, variation of canonical heights, preperiodic points, and unlikely intersections in families of maps, especially on the projective line and in elliptic surfaces. These topics lie at the heart of modern arithmetic dynamics and have strong ties to Diophantine geometry and number theory. The most recent publications show a sustained focus on canonical height variation, equidistribution, and the geometry of post-critically finite and preperiodic loci in parameter spaces. Collaborations with leading mathematicians such as Laura DeMarco, Harry Schmidt, and Hexi Ye reflect her central role in current developments in arithmetic dynamics. Her work combines algebraic, analytic, and arithmetic techniques to solve deep conjectures and establish foundational results. Her research is supported by an NSERC Discovery Grant and an Early Career Supplement (2024–2029), and previously by an NSF grant (DMS-2200981). She has mentored or collaborated with several prominent researchers and is likely supervising graduate students, though none are explicitly named. She does not list formal awards, but her publication record in top journals and prestigious fellowships indicate high recognition in the mathematical community. Mavraki held the Benjamin Peirce Fellowship at Harvard (2020–2023), a highly competitive postdoctoral position, and prior positions at the University of Basel and Northwestern University. She earned her PhD from the University of British Columbia under Dragos Ghioca.

Jürg Kramerمشاهده پروفایل

استاد

• Arakelov Geometry
• Automorphic Forms
• Modular Forms
• +۵ مورد دیگر

Prof. Jürg Kramer is a Professor of Mathematics at Humboldt University of Berlin, affiliated with the Faculty of Mathematics and Natural Sciences and the Institute of Mathematics. His research focuses on Arakelov geometry, automorphic forms (particularly modular forms), and their intersections. Notable contributions include advancements in arithmetic intersection theory with logarithmic singularities and sup-norm bounds for modular forms. He is also deeply engaged in mathematics education, leading initiatives for teacher training and promoting mathematical talent through networks like the Berlin School Mathematics Network. Active in academic service, he served as EMS Education Committee Chair (2017–2022) and President of the German Mathematical Society (2013/14). His work bridges pure mathematics with pedagogical innovation, emphasizing public understanding through popular science publications. Research: Arakelov geometry, modular forms, L-functions, hyperbolic geometry methods Education: Teacher training programs, math talent promotion, textbook authorship Affiliations: Leibniz Institute for Science and Mathematics Education (IPN), EMS, Deutsche Akademie der Technikwissenschaften Key educational contributions include Felix-Klein teacher training programs and co-authoring standards for mathematics teacher education. His publications span advanced mathematical research and accessible expositions on topics like Fermat’s Last Theorem and Riemann Hypothesis.

Arno Bergerمشاهده پروفایل

استاد

• Dynamical Systems
• Ergodic Theory
• Benford's Law
• +۵ مورد دیگر

Dr. Arno Berger is a Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. He holds a Dipl.Ing. (ME) and Dipl.Ing. (MSc) in Mechanical Engineering and Applied Mathematics from TU Wien (Vienna University of Technology), followed by a Dr. techn (PhD) and Habilitation in Applied Mathematics from the same institution. His research focuses on dynamical systems, ergodic theory, Benford's Law, nonautonomous dynamics, bifurcation theory, applied probability, and dimensional analysis. He has held visiting positions at prestigious institutions including Georgia Tech, University of Warwick, Goethe University Frankfurt, and University of Canterbury. His recent work includes studies on Saint-Venant-Polya inequalities, planar curves with position-dependent curvature, and distributions of logarithmic functions. He co-authored the seminal book An Introduction to Benford's Law (2015), and maintains the Benford Online Bibliography. His teaching spans courses like Differential Equations and Real Variables. Dr. Berger’s research has explored Benford’s Law in diverse contexts, from stochastic processes to finite-time dynamics. His articles often bridge theoretical insights with practical applications, emphasizing the ubiquity of Benford’s Law in mathematical systems.

Lionel Levineمشاهده پروفایل

استاد

• Applied Mathematics
• Combinatorics and Discrete Geometry
• Probability and Statistics
• +۴ مورد دیگر

Lionel Levine is a Professor in the Department of Mathematics at Cornell University, affiliated with the College of Arts and Sciences. His academic research focuses on abelian networks, interacting particle systems, and the emergence of complex patterns from simple rules. He has held prestigious fellowships, including the Simons Fellowship and Sloan Research Fellowship, and has been honored with an endowed professorship. Levine's work bridges probability theory, combinatorics, and statistical physics, with notable contributions to the study of sandpile models and internal diffusion-limited aggregation (IDLA). Education: Ph.D. in Mathematics (2007), University of California, Berkeley. Research Interests: Applied Mathematics, Combinatorics, Probability, Abelian Networks, Sandpile Models, and their intersections with computer science and statistical physics. His research explores how local rules generate large-scale structures, such as in abelian networks and sandpile models. Awards and Honors: Simons Fellowship, Sloan Research Fellowship, Endowed Professorship in the College of Arts and Sciences. Teaching: Courses include Probability Theory (MATH 6710/6720), Topics in Probability: Math for AI Safety (MATH 7710), and undergraduate mathematics courses like Strategy, Cooperation, and Conflict (MATH 1340). Grants and Funding: Supported by the National Science Foundation (NSF), Simons Foundation, Sloan Foundation, and Institute for Advanced Study. Collaborations: Collaborates with prominent researchers such as Yuval Peres, Cris Moore, and Jim Propp. His work has been published in leading journals like the Annals of Probability and Duke Mathematical Journal. Future Work: Continues investigating AI safety, causal models, and multi-agent learning, including research on mathematical frameworks for transformer circuits and hidden incentives in AI systems.

• Probability Theory
• Number Theory
• Statistical Mechanics
• +۵ مورد دیگر

Louis-Pierre Arguin is a Professor of Mathematics at Baruch College, City University of New York, within the Weissman School of Arts and Sciences. His academic journey includes a Ph.D. in Mathematics from Princeton University, an M.Sc. in Physics from the University of Montreal, and a B.Sc. in Mathematics from the same institution. His research bridges probability theory, number theory, and statistical mechanics, with a focus on extreme value statistics of the Riemann zeta function and spin glass systems. Key areas include logarithmically correlated random fields, branching random walks, and connections between random matrix theory and number-theoretic functions. His work demonstrates how probabilistic methods can solve deep problems in analytic number theory, particularly regarding the distribution of extreme values of the zeta function on the critical line. Arguin's scholarly impact is reflected in publications in premier journals including Annals of Mathematics , Communications on Pure and Applied Mathematics , and Probability Theory and Related Fields . His research program explores the Fyodorov-Hiary-Keating conjecture, large deviations of Selberg's central limit theorem, and disorder chaos in spin glasses, revealing profound connections between number theory and statistical physics. Award for Excellence in Scholarship (Weissman School, 2022) Bourbaki Seminar Presentation (2019) Andre-Aisenstadt Prize (CRM Montreal, 2015) His mentorship includes supervising doctoral dissertations through Baruch's Mathematics Ph.D. program, while his grant portfolio features multiple National Science Foundation awards, including a CAREER grant focused on statistics of extrema in complex systems. He actively serves on departmental and university committees including the Executive Committee of the Mathematics Department and the Real Analysis Qualifying Exam Committee. Arguin maintains a robust research group collaborating with institutions worldwide and frequently presents at major international venues including the Institute for Advanced Study, Princeton University, and the Centre de Recherches Mathématiques in Montreal.

Samit Dasguptaمشاهده پروفایل

استاد

• Algebraic Number Theory
• L-functions
• Arithmetic Geometry
• +۳ مورد دیگر

Samit Dasgupta is the James B. Duke Distinguished Professor of Mathematics at Duke University's Trinity College of Arts & Sciences since 2018. His research focuses on algebraic number theory , particularly the explicit construction of units in number fields, points on abelian varieties, and connections to special values of L-functions including Stark's conjectures , Birch-Swinnerton-Dyer , and Beilinson's conjectures . He has made significant progress on the Brumer-Stark conjecture and its refinements, as well as the Gross-Stark conjecture for p-adic L-functions. Education : Ph.D. from University of California, Berkeley (2004), A.B. from Harvard University (1999) Research Highlights : His recent work includes proving the p-part of the integral Gross–Stark conjecture (2024), analyzing Brumer-Stark units (2023), and extending Eisenstein cocycle theory to GL_n. His publications span topics from factorization of p-adic L-series to mock Heegner points and Shintani zeta functions , demonstrating deep connections between number theory and modular forms. Grants & Awards : NSF RTG Grant: "Linked via L-functions: training versatile researchers across number theory" (2023–2028) NSF Grant: "The Brumer-Stark Conjecture and its Refinements" (2022–2027) NSF Grant: "Beyond L-functions: the Eisenstein Cocycle and Hilbert's 12th Problem" (2019–2022) NSF CAREER Award (2010) Sloan Fellowship (2009) Advising & Teaching : He has advised graduate students including Michael Daub, Mitchell Owen, and Shawn Tsosie. Recent courses include Number Theory , Mathematical Cryptography , and advanced topics in linear algebra.

• Telecommunications
• Wireless Sensor Networks
• Air Quality Monitoring
• +۷ مورد دیگر

Alexandre Manuel de Castro Passos de Almeida is an Assistant Professor in the Department of Information Science and Technology at the University Institute of Lisbon (ISCTE-IUL), where he also contributes to the School of Technology and Architecture. He is an Associate Researcher at the Institute of Telecommunications - IUL, actively involved in the Radio Systems Group, focusing on telecommunications and sensor-based environmental monitoring. PhD in Telecommunications, ISCTE-IUL, 2012 His research interests span telecommunications, wireless sensor networks, air quality monitoring, computer architecture, and robotics. He has led and contributed to innovative projects such as ExpoLis, which uses mobile sensor networks on public buses to map urban air pollution. His work bridges engineering and environmental science, aiming to influence urban policy and public health through real-time data systems. The most recent publications highlight a strong trend toward deploying low-cost, mobile sensor networks for environmental monitoring, particularly in urban settings. His work integrates computer systems, signal processing, and sustainable technology, with applications in smart cities, public health, and robotics. Topics like air quality mapping, energy harvesting, and noise-aware robot navigation reflect a multidisciplinary approach to solving real-world problems. He has advised seven Master’s students at ISCTE-IUL, guiding research in sensor networks, air pollution, database performance, robotic navigation, and personal photography assistants. While no specific scientific awards are listed, his contributions to funded research projects and consistent scholarly output indicate recognition in his field. He has held leadership roles in academic governance, including Vice President of the Pedagogical Council, underscoring his institutional engagement. His teaching portfolio includes core courses such as Fundamentals of Computer Architecture, Operating Systems, and Big Data Processing, delivered across multiple undergraduate and postgraduate programs. He is involved in research projects that combine academic innovation with practical urban applications, particularly through the deployment of scalable, open-source environmental sensing systems.

• Human-Centered Privacy
• Privacy-Preserving Machine Learning
• Cryptography
• +۳ مورد دیگر

Bailey Kacsmar is an Assistant Professor in the Department of Computing Science at the University of Alberta and an Alberta Machine Intelligence Institute (Amii) Fellow. Her research focuses on developing human-centered privacy solutions, combining technical privacy mechanisms (e.g., private machine learning, secure computation) with user perception studies and usability evaluations. She holds a PhD and MMath in Computer Science from the University of Waterloo. Education: PhD in Computer Science, University of Waterloo Masters of Mathematics (MMath), University of Waterloo Research Interests: Privacy-preserving machine learning and AI User-centric privacy design Cryptography for private computation Usability of privacy-enhancing technologies Recent Work Trends: Her publications emphasize practical privacy solutions, including private set intersection protocols, differential privacy in machine learning, and user comprehension of privacy mechanisms. Awards: 2025 U of A Award for Outstanding Mentorship in Undergraduate Research Honorable Mention for CRA Outstanding Undergraduate Researcher Award (Jialiang Yan) Teaching & Advising: Courses include Cryptography for Digital Privacy and Privacy, Cryptography, Network Security. Advises graduate students and undergraduate researchers on privacy-preserving technologies. Emphasizes ethical and human-centered approaches in advising. Labs & Teams: Leads the PUPS (Practical Usable Privacy and Security) Lab, focusing on interdisciplinary privacy research spanning technical design, usability, and societal impact.

Michael J. Jacobson Jr.مشاهده پروفایل

استاد

• Computational Number Theory
• Public-Key Cryptography
• Cryptographic Protocols
• +۳ مورد دیگر

Michael J. Jacobson Jr. is a Professor in the Department of Computer Science at the University of Calgary. He also serves as Deputy Director of ISPIA and Director of the Information Security Program. His research focuses on computational number theory and its applications to public-key cryptography, including the development of efficient algorithms for arithmetic in class groups of number fields and algebraic curves. His work aims to enhance cryptographic protocol efficiency while improving security through algorithmic advancements and benchmarking. His research interests span cryptographic protocol design, discrete logarithm problem analysis, and the interplay between number theory and cryptography. Notable contributions include studies on divisor arithmetic on hyperelliptic curves, class group computations in quadratic fields, and the security implications of cryptographic systems. Recent publications highlight his interdisciplinary work in both cryptography and medical informatics, including studies on clinical trial methodologies for dermatological conditions. He has also contributed to foundational research in computational algebraic geometry and algorithm optimization for cryptographic applications. Michael has received no publicly listed scientific awards in the provided texts. His advising and grants include collaborations on topics ranging from cryptographic infrastructure to clinical trial design. He leads the Information Security Program at the University of Calgary, fostering interdisciplinary research in cybersecurity and algorithmic security.

Nadia Heningerمشاهده پروفایل

استاد

• Cryptography
• Cryptanalysis
• Security
• +۵ مورد دیگر

Nadia Heninger is a Professor in the Computer Science and Engineering department at the University of California, San Diego. Previously, she was an assistant professor at the University of Pennsylvania from 2013 to 2018. Her research focuses on mathematical and empirical cryptanalysis of public-key cryptographic systems, with significant contributions to identifying vulnerabilities in widely deployed cryptographic implementations. Her primary research interests include cryptography, cryptanalysis, and security, with particular emphasis on mathematical cryptanalysis aimed at real-world applications. Her work frequently employs lattice techniques, computational number theory, coding theory, and network measurement to uncover weaknesses in cryptographic systems. She has made notable contributions to understanding the security of RSA, Diffie-Hellman, and ECDSA implementations in practice. Heninger's research output shows a consistent focus on practical cryptanalysis, with recent work including the Blast-RADIUS vulnerability discovery, SSH key compromise via lattice techniques, and analyses of cryptographic implementations in blockchain systems like Bitcoin. Her publications span top security and cryptography venues including Crypto, Eurocrypt, Usenix Security, and CCS, often receiving best paper awards. Among her scientific achievements are an NSF CAREER award and multiple best paper awards from premier conferences including Crypto, PKC, CCS, and Usenix Security, as well as test of time awards from Crypto and Usenix Security. These accolades reflect the significant impact of her work on the field of cryptography and security. She advises several PhD students including Miro Haller, Laura Shea, Adam Suhl, and George Sullivan, and has a substantial list of notable alumni who have gone on to successful careers in academia and industry. Her research has been supported by various grants, including an Amazon Research Award for work on 'Bringing Modern Security Guarantees to End-to-End Encrypted Cloud Storage.'