جست‌وجوی استاد و پژوهشگر

• Functional Analysis
• Harmonic Analysis
• Operator Theory
• +۴ مورد دیگر

Dmitriy Zanin is a Senior Lecturer in the School of Mathematics and Statistics at the University of New South Wales (UNSW), Faculty of Science. He is an active member of the Functional and Harmonic Analysis Group, which specializes in theoretical studies of functions and operators with applications spanning quantum physics and signal processing. His academic role involves research and instruction in advanced mathematical theories within a globally recognized institution. Zanin's research is deeply rooted in functional and harmonic analysis, extending into operator theory, noncommutative geometry, and mathematical physics. Key domains include: Operator algebras (von Neumann algebras, symmetric operator spaces) Noncommutative geometric structures (quantum tori, spectral invariants) Functional inequalities and embedding theorems Applications to quantum systems and signal processing frameworks His work consistently bridges abstract mathematical constructs with physical models. Analysis of Zanin's 15 most recent publications (2024–2025) reveals a strong focus on operator-theoretic frameworks in noncommutative settings. Predominant themes include: Sobolev embeddings and interpolation inequalities on quantum spaces Compactness criteria in quasi-Banach operator algebras Schatten-class commutator estimates and trace formulas Geometric invariants of deformed noncommutative manifolds This corpus demonstrates rigorous theoretical development at the intersection of functional analysis and quantum geometry.

• Algebraic Geometry
• Differential Equations
• Mirror Symmetry
• +۴ مورد دیگر

Thomas Reichelt is a Researcher at the University of Mannheim within the School of Business Informatics and Business Mathematics , focusing on Mathematics . His research bridges algebraic geometry, differential equations, and mirror symmetry, with a particular emphasis on Frobenius manifolds, Hodge theory, and hypergeometric systems. Current Projects : Mirror symmetry, irregular singularities, and tautological systems. Former Projects : SÉDIGA (2009–2012), SISYPH (2014–2016). Reichelt's work explores the intersection of algebraic structures and geometric phenomena, particularly in singular spaces and quantum models. His publications span topics like GKZ-systems, weight filtrations, and logarithmic degenerations, often involving collaborations with leading mathematicians such as Christian Sevenheck and Uli Walther. Recent papers address holonomic rank problems and Lyubeznik-type invariants. Scientific Awards : Emmy Noether Research Group Fellowship Reichelt's research group investigates the deep connections between algebraic geometry and mathematical physics, contributing to both theoretical frameworks and computational methods in D-module theory.

Damian Weberمشاهده پروفایل

استاد

• Cryptography
• IT Security
• Encryption
• +۷ مورد دیگر

Damian Weber is a Professor at the Faculty of Engineering of Saarland University of Applied Sciences . He specializes in Cryptography and IT Security , with a focus on computational number theory and cryptographic protocols. Currently teaching Security Engineering and Cryptography Engineering modules, he maintains an active role in academic administration as Dean of Studies. Contact: damian.weber@htwsaar.de Office hours: Wednesday 10:30-11:30 (by prior registration) Location: Room 6313, Goebenstraße 40, Saarbrücken His research spans discrete logarithms , number field sieve , elliptic curve cryptosystems , and authenticated encryption . Publications demonstrate sustained contributions to cryptanalysis and cryptographic algorithm design since the mid-1990s.

• Evolutionary Anthropology
• Kinship Studies
• Cultural Evolution
• +۳ مورد دیگر

Douglas Jones is an Associate Professor in the Department of Anthropology at the University of Utah, with a career spanning over two decades at the institution. His research bridges evolutionary anthropology, kinship systems, and cognitive science, focusing on how social norms and biological evolution interact to shape human behavior. Academic Rank: Associate Professor (2005–present) Previous Positions: Visiting Assistant Professor (1997–1998, 2000–2001) Teaching: Courses include Anthropology of Violence, Brazilian Culture, Language and Thought, Tribes & Global Systems. Research interests include: Kin selection and ethnic group selection Evolutionary models of social cohesion Game theory applications to anthropological phenomena Barbarigenesis and historical collapse of complex societies Racial cognition in Brazilian contexts His publications employ interdisciplinary frameworks like Optimality Theory to analyze kinship grammars, demonstrating connections between linguistic and social structures. While no scientific awards are listed, his teaching and outreach activities include maintaining a "Logarithmic History" blog covering universal history from Big Bang to modernity.

Fabrizio Gabbianiمشاهده پروفایل

استاد

• Computational Neuroscience
• Sensory Processing
• Neuronal Computation
• +۶ مورد دیگر

Fabrizio Gabbiani is a Professor of Neuroscience at Baylor College of Medicine , Houston, United States. His research focuses on the biophysics of information processing in the nervous system , particularly on computational mechanisms of sensory processing from single neurons to networks . Education: Ph.D. and advanced training at Swiss Federal Institute of Technology (ETH Zurich) and California Institute of Technology (Caltech). His lab investigates collision avoidance mechanisms in the locust visual system , centering on the lobula giant motion detector (LGMD) neuron . This neuron computes an angular threshold size to trigger escape behaviors, integrating excitatory motion-sensitive and inhibitory size-sensitive inputs via dendritic processing, while demonstrating stimulus invariance across varying contrasts, textures, and shapes. His 15 most recent publications (1994–2018) span neuronal computation , sensory-motor integration , dendritic processing , and neural coding in diverse systems including locusts , electric fish , and mammalian visual systems . Key themes include spike frequency adaptation , burst firing , logarithmic signal compression , and synchronization in collision detection .

David Barbatoمشاهده پروفایل

دانشیار

• Stochastic Differential Equations
• Fluid Dynamics
• Probability Theory
• +۴ مورد دیگر

David Barbato is an Associate Professor in the Department of Mathematics at the University of Padua, Italy. His primary academic affiliation is with the Department of Mathematics within the School of Science at the University of Padua, where he holds the position of Associate Professor. Professor Barbato's research focuses on stochastic differential equations and their applications to fluid dynamics. His work particularly examines dyadic models, energy cascade transfer, Girsanov measure transforms on infinite differential systems, and regularity for hyperdissipative Navier-Stokes equations and Leray-α models. His research bridges probability theory and mathematical physics, with applications to understanding turbulent flows and energy transfer in fluid systems. His publication record shows consistent output over the past decade, with significant contributions to journals such as Nonlinearity, Analysis and PDE, and Stochastic Processes and their Applications. His research demonstrates strong collaborative relationships with mathematicians including F. Morandin, F. Flandoli, and M. Romito. Professor Barbato teaches several courses at the University of Padua, including Probability Calculus, Stochastic Analysis, and Fundamentals of Linear Algebra and Geometry across various degree programs. His teaching materials indicate a structured approach with detailed lecture notes, regular exercises, and comprehensive assessments.

I. Joga Raoمشاهده پروفایل

استاد

• Continuum Mechanics
• Constitutive Modeling
• Shape Memory Polymers
• +۵ مورد دیگر

Dr. I. Joga Rao is a Professor in the Department of Mechanical and Industrial Engineering at the New Jersey Institute of Technology (NJIT). He joined NJIT in 2000 and served as Department Chair from 2014 to 2024. His research focuses on continuum mechanics and constitutive modeling with applications in polymers, biomechanics, and high-temperature materials. Education Ph.D. in Mechanical Engineering, Texas A&M University (1999) M.S., University of California, Berkeley (1992) B.Tech., Indian Institute of Technology, Bombay (1990) Research Focus Dr. Rao specializes in the thermodynamics and mechanics of smart materials, particularly shape memory polymers. His work integrates theoretical frameworks with numerical simulations to model light-activated systems, crystallization dynamics, and biological tissue growth. Key research themes include: Multi-physics modeling of polymer systems Viscoelastic behavior under thermal/optical stimuli Inhomogeneous deformation mechanisms High-temperature material performance Publication Trends Recent publications demonstrate a strong focus on advanced shape memory polymers, including triple-shape systems, light-activated networks, and crystallizable materials. Computational modeling of thermo-mechanical behavior and experimental validation are consistent themes. Work frequently combines continuum mechanics with polymer physics to predict complex material responses. Awards and Honors Robert W. Van Houten Award for Teaching Excellence (2010) Air Force Summer Faculty Fellow (2009, 2008) NJIT Excellence in Teaching Award (2008) Newark College of Engineering Teaching Award (2005) Grants and Advising His research has been funded by NSF, DOE, and the Air Force. While specific student advisees aren't listed, his leadership as department chair suggests extensive academic mentorship. No explicit lab/team details are provided in the source text.

Stjepan Šebekمشاهده پروفایل

استادیار

• Probability Theory
• Stochastic Processes
• Applied Mathematics
• +۴ مورد دیگر

Stjepan Šebek is an Assistant Professor at the Department of Applied Mathematics, Faculty of Electrical Engineering and Computing, University of Zagreb. His research focuses on stochastic processes, probability theory, and combinatorial models, with notable contributions to random walks, convex hull analysis, and Markov chain theory. He is based in room D-153 and can be reached at stjepan.sebek@fer.unizg.hr. His work bridges theoretical mathematics with applications in statistical physics and combinatorial optimization. Research interests include the study of random sequential adsorption, convex hull properties of stochastic processes, and functional limit theorems for stable processes. His publications often explore the interplay between discrete and continuous models, with a focus on geometric and probabilistic questions. Collaborations with researchers like W. Cygan, N. Sandrić, and T. Došlić highlight his engagement in international scientific networks. Recent articles reflect trends in analyzing the asymptotic behavior of stochastic systems, such as convex hulls of Brownian motion and random walks with drift. His work on jammed configurations and combinatorial settlement planning demonstrates interdisciplinary impact, merging mathematics with spatial planning and ecology. Despite not listing awards, his prolific publication record in top-tier journals underscores his academic contributions.

Richard S Laugesenمشاهده پروفایل

استاد

• Differential Equations
• Mathematical Physics
• Complex Analysis
• +۳ مورد دیگر

Richard S Laugesen is a Professor in the Department of Mathematics at the University of Illinois at Urbana–Champaign, serving as Associate Chair for Faculty. He specializes in differential equations, mathematical physics, and complex analysis with a focus on extremal problems. His roles include Director of Graduate Studies in Mathematics (2012–2017) and leadership in interdisciplinary programs like the Illinois Sloan University Center of Exemplary Mentoring (co-PI, 2015–2018). Education: PhD in Mathematics from Washington University in St. Louis (1993). Research interests span spectral theory, geometric optimization, and partial differential equations. His work emphasizes eigenvalue optimization, capacity theory, and applications to physics and engineering. Recent studies investigate Riesz capacity, Neumann/Robin eigenvalues, and spectral shape optimization. Notable awards include the Campus Award for Excellence in Graduate Teaching (2017), Distinguished Teaching Award (2016), and multiple teaching honors from 2003. He has secured grants from the Sloan Foundation, NSF, and Simons Foundation, supporting initiatives in STEM education and mathematical sciences. Advising and mentorship form a key part of his career, with contributions to internship networks and graduate training programs. His research group actively explores interdisciplinary problems at the intersection of analysis, geometry, and applied mathematics.

Hans Bodlaenderمشاهده پروفایل

استاد

• Algorithms
• Complexity Theory
• Graph Theory
• +۴ مورد دیگر

Prof. Dr. Hans Bodlaender is a Full Professor of Algorithms and Complexity at Utrecht University's Faculty of Science, Department of Information and Computing Sciences. He holds a Ph.D. in Mathematics from Utrecht University (1985) and has held academic positions since 1983, including roles at Eindhoven University of Technology. His research focuses on algorithms, computational complexity, graph theory, and parameterized complexity, with a particular emphasis on treewidth and network algorithms. He has been recognized with the EATCS-IPEC Nerode Prize (2014) and has contributed to over 500 publications. His work includes developing algorithms for graph decomposition, scheduling, and NP-hard problem analysis. He has organized international workshops and served on editorial boards, including the Journal of Discrete Algorithms. Education: B.Sc. Mathematics, Utrecht University (1981) M.Sc. Mathematics, Utrecht University (1983) Ph.D. in Distributed Computing (1985), supervised by Jan van Leeuwen Research Interests: Algorithms, complexity theory, parameterized complexity, treewidth, graph algorithms, network optimization, and computational problem-solving. His work bridges theoretical foundations with practical algorithm design, emphasizing efficient algorithms for NP-hard problems. Recent Article Trends: Focus on parameterized complexity, treewidth applications, scheduling algorithms, and algorithmic lower bounds. Recent work explores fixed-parameter tractability, graph decompositions, and hardness results for problems on structured graphs. Awards: EATCS-IPEC Nerode Prize (2014) for contributions to parameterized complexity. Grants/Advising: Extensive involvement in grant-funded research projects and academic leadership roles. Supervised numerous PhD and Master's students (details not fully listed here). Labs/Teams: Active in the Algorithms and Complexity research group at Utrecht University, collaborating on theoretical computer science and algorithmic challenges.

Matteo Parisiمشاهده پروفایل

مدرس

• Theoretical Physics
• Algebraic Geometry
• Scattering Amplitudes
• +۳ مورد دیگر

Matteo Parisi is a Lecturer at Harvard University's Center of Mathematical Sciences and Applications (CMSA) within the Faculty of Arts and Sciences. His research focuses on the intersection of theoretical physics, algebraic geometry, and combinatorics, particularly the study of amplituhedrons, cluster algebras, and scattering amplitudes. He explores geometric and algebraic structures underlying quantum field theories and string theory, with contributions to understanding positive geometries, twistor string theory, and Yangian symmetry. His work combines advanced mathematical frameworks with computational methods, addressing topics like BCFW recursion, cluster adjacency conjectures, and the combinatorial properties of amplituhedron tilings. Notable research includes studies on the m=2 amplituhedron's relationship with hypersimplices, Eulerian number patterns in amplituhedron topology, and the application of Hochschild polytopes to algebraic combinatorics. While no scientific awards are explicitly listed, his extensive publication record reflects recognition in high-impact theoretical physics and mathematics journals. Matteo's research also bridges discrete mathematics and physics through explorations of Smirnov words, toric varieties, and tropical Grassmannians. His articles consistently advance understanding of scattering amplitude structures through geometric and algebraic lenses.

Sunghyuk Parkمشاهده پروفایل

پژوهشگر ارشد

• Knot Theory
• Low-Dimensional Topology
• Quantum Topology
• +۳ مورد دیگر

Sunghyuk Park is a Benjamin Peirce Fellow in the Department of Mathematics at Harvard University. His research focuses on low-dimensional topology, quantum invariants, and their connections to mathematical physics, algebraic geometry, and number theory. He explores topics such as knot homology theories, topological quantum field theories (TQFTs), and geometric structures related to Coulomb branches. His work bridges knot theory with advanced algebraic constructs like quiver representations, Rozansky-Witten invariants, and quantum modular forms. He investigates the interplay between 3-manifold invariants, BPS state counts, and resurgence phenomena in quantum field theories. Recent articles emphasize quantum trace maps, q-series, and topological string theory applications. His contributions include studies on inverted state sums, logarithmic knot invariants, and the 3d-3d correspondence for mapping tori. Park's research often involves sophisticated tools from symplectic geometry, cluster algebras, and non-compact hyperkähler manifolds. Though no specific advising or grants are documented here, his postdoctoral position indicates active involvement in cutting-edge research collaborations. His work reflects a deep engagement with modern geometric topology and its physical interpretations.

Chester Weatherbyمشاهده پروفایل

دانشیار

• Number theory
• Transcendence
• Algebraic independence
• +۳ مورد دیگر

Chester Weatherby is an Associate Professor at Wilfrid Laurier University's Faculty of Science, Department of Mathematics. His research focuses on number theory, transcendence, algebraic independence, and special values, with a pedagogical interest in postsecondary math education. He is contactable at cweatherby@wlu.ca and located in office LH3043. Education background: Not explicitly detailed in provided text Research interests emphasize advanced number theory topics including Baker’s theory of linear forms in logarithms and applications to algebraic independence. He actively explores special values and their implications in mathematical structures. No specific publications or awards are listed in the provided information. Supervision opportunities may exist but are not elaborated here. He contributes to mathematics education at the postsecondary level. Laboratory or team affiliations not specified in current data.

Clément Aubertمشاهده پروفایل

دانشیار

• Computational Logic
• Concurrency Theory
• Reversible Computing
• +۵ مورد دیگر

Clément Aubert is an Associate Professor in the Department of Computer Science at Augusta University's School of Computer and Cyber Sciences. He is also affiliated with the Graduate School and serves as faculty advisor for the ΔΛΔ student organization. His research focuses on computational logic, concurrency theory, and reversible computing, with contributions to process calculi, formal semantics, and program analysis. He received his Ph.D. in Computer Science from Université Paris 13 in 2014 and held postdoctoral positions in France and the U.S. before joining Augusta University. Education: Ph.D., Computer Science, Université Paris 13 (2014) M.Sc. and B.Sc. in Mathematics/Computer Science from Parisian institutions Research Interests: His work bridges theoretical computer science and practical applications, emphasizing reversible computing models, concurrency theory, and implicit computational complexity. He develops formal methods for analyzing concurrent systems and has contributed to tools like the pymwp static analyzer. His research is published in venues such as Journal of Logical and Algebraic Methods in Programming , CONCUR , and VMCAI . Teaching: Recent courses include CSCI 1302 (Programming II), CSCI 8940 (Dissertation Research), and Compiler Writing. He advises graduate and undergraduate students in research projects involving reversible distributed systems, program analysis, and database systems. Projects: Current projects include the CinRC initiative on reversible distributed systems and collaborations with biostatisticians on data integration. Past work includes capstone projects on database systems and pandoc filter development. Professional Activities: He serves on program committees for Interaction and Concurrency Experience (ICE) and organizes the Programming Languages Reading Group. His work is supported by grants exploring productivity in biomedical research and reversible computing formalisms.

• Distributed Algorithms
• Blockchain Technology
• Transactional Memory
• +۵ مورد دیگر

Costas Busch is a Professor and Department Chair in the Department of Computer Science at Georgia State University's School of Computer and Cyber Sciences. He holds a Ph.D. (2000) and M.S. (1998) in Computer Science from Brown University. His research focuses on distributed algorithms, blockchain technology, transactional memory, and sensor networks. He has authored numerous publications in top-tier conferences and journals. Education: Ph.D., Computer Science, Brown University (2000) M.S., Computer Science, Brown University (1998) Research interests include distributed systems, consensus protocols, and algorithmic optimization. He serves as an editor for Forensic Science International: Digital Investigation and MDPI Algorithms . Active in governance roles, he chairs the Faculty Search Committee and Faculty Affairs Committee, and participates in promotion committees. His work bridges theoretical computer science with practical applications in distributed computing and blockchain scalability. Notable contributions include advancements in blockchain sharding, transactional memory scheduling, and fault-tolerant distributed systems. His recent work explores poly-logarithmic universal Steiner trees and adversarial transaction generation resilience in blockchain architectures. Service & Leadership: Editorial roles at 2 leading journals Committee leadership in faculty governance Active participation in international conferences like IEEE Blockchain