جست‌وجوی استاد و پژوهشگر

Olof B. Widlundمشاهده پروفایل

استاد

• Numerical Analysis
• Domain Decomposition Methods
• Partial Differential Equations
• +۱۲ مورد دیگر

Olof B. Widlund is the Silver Professor of Mathematics and Computer Science at the Courant Institute of Mathematical Sciences , New York University , where he has been a leading figure in numerical analysis and scientific computing for decades. His research focuses on domain decomposition methods for partial differential equations, particularly in the context of large-scale parallel computation. Widlund’s work has significantly advanced the theory and application of iterative substructuring and Schwarz methods, including FETI-DP and BDDC algorithms, for problems in elasticity, fluid dynamics, and electromagnetics. He co-authored the award-winning monograph Domain Decomposition Methods – Algorithms and Theory (Springer, 2005), which received the Association of American Publishers’ Excellence Award in 2006. His recent research includes hybrid domain decomposition methods, isogeometric analysis, and adaptive selection of primal constraints. The trends in his publications show a sustained focus on robust, scalable preconditioners for elliptic systems, H(curl) and H(div) problems, and nearly incompressible materials, with strong emphasis on theoretical analysis and practical implementation. Scientific Awards: Award for Excellence in Professional and Scholarly Publications, Association of American Publishers, Mathematics and Statistics (2006) Research Sponsorship and Leadership: His work has been supported by the National Science Foundation (NSF DMS-1522736) and the U.S. Department of Energy . He was the institutional lead for the DOE SciDAC TOPS project until 2007 and co-PI on earlier multi-institutional computational methods initiatives. Advising: Widlund has advised 31 doctoral students, many of whom have become leaders in numerical analysis and computational science. His students have worked on spectral elements, mortar methods, Stokes solvers, and BDDC/FETI algorithms. Community Engagement: He is a regular participant in the International Conferences on Domain Decomposition and delivered a full-day tutorial prior to the 20th conference in 2011. A special conference was held in his honor at Courant in 2008 for his 70th birthday.

• Homotopy Theory
• Algebraic K-Theory
• Category Theory
• +۳ مورد دیگر

Donald Yau is a Professor of Mathematics at The Ohio State University Newark, specializing in Homotopy Theory and Algebraic K-Theory. His work bridges algebraic topology, category theory, and operadic structures. He holds a PhD from MIT (2002) and has authored numerous influential books and papers. Key research contributions include foundational work on enriched Mackey functors, bimonoidal categories, and higher operads. His books, such as 2-Dimensional Categories and Involutive Category Theory , are standard references. He explores topics like Smith ideals, homotopy invariance, and structured ring spectra, with applications in algebraic geometry and equivariant topology. Recent publications (2022–2025) focus on multifunctorial K-theory, symmetric bimonoidal categories, and modular operads. His work emphasizes categorical coherence, homotopy equivalences, and algebraic foundations for spectral theories. Despite no awards listed here, his extensive publication record underscores his impact in pure mathematics.

Martin Saracenoمشاهده پروفایل

پژوهشگر

• Ultrafast Optics
• Laser Technology
• Photonics
• +۳ مورد دیگر

Dr. Martin Saraceno is a Senior Scientist at the Chair of Photonics and Ultrafast Laser Science, Ruhr University Bochum, Germany. He holds a Diploma and Ph.D. in Physics from ETH Zurich (2007, 2011). Prior roles include Researcher at Cyber Laser Inc. (2012–2013) and Senior Scientist at the University of Neuchatel (2013–2016). He specializes in ultrafast lasers, THz technology, and high-power laser systems. Education: Diploma in Physics, ETH Zurich (2007) Ph.D. in Physics, ETH Zurich (2011) Research interests focus on high-power ultrafast lasers, THz generation, and advanced laser technologies. His work emphasizes energy scaling of modelocked oscillators, nonlinear compression, and applications in terahertz systems. Recent publications highlight advancements in laser-driven THz sources, multipass cell compressors, and Kerr-lens modelocking. His contributions include developing high-average-power lasers and novel compression techniques, advancing fields like laser engineering and nonlinear optics. He is affiliated with the High Energy Laser Lab and collaborates on cutting-edge photonics research.

Robert Rahmمشاهده پروفایل

دانشیار

• Functional Analysis
• Harmonic Analysis
• Operator Theory
• +۳ مورد دیگر

Robert Rahm is an Instructional Associate Professor of Mathematics at Texas A&M University, serving as a Faculty Advisor for APMT. His research focuses on functional analysis, harmonic analysis, and operator theory with applications to mathematical physics and partial differential equations. He holds an office at BLOC 332C and can be contacted via math-advising@tamu.edu. Rahm's work emphasizes weighted norm inequalities, sparse operators, and spectral theory. His recent studies explore connections between perturbed potentials and the Riemann zeta function, as well as inverse problems in Schrödinger equations. He has contributed to advancements in Bergman space projections, entropy conditions for operators, and wavelet theory applications. No scientific awards are explicitly listed in the provided materials. His advising role suggests active engagement with student mentorship, though specific advisee names are not documented here. Research collaborations likely involve advanced mathematical modeling and analytical techniques in both pure and applied contexts.

• Graph Theory
• Extremal Combinatorics
• Probabilistic Combinatorics
• +۳ مورد دیگر

Lina Li is an Assistant Professor in the Department of Mathematics at the University of Mississippi within the College of Liberal Arts. She joined the faculty after completing postdoctoral positions at Iowa State University under Ryan Martin and the University of Waterloo under Luke Postle. Her academic background includes: B.S. in Mathematics from Xi'An Jiaotong University (2014) M.S. in Mathematics from the University of Illinois at Urbana-Champaign (2018) Ph.D. in Mathematics from the University of Illinois at Urbana-Champaign (2020) supervised by József Balogh Dr. Li's research centers on extremal and probabilistic combinatorics with specific expertise in enumeration problems, (hyper)graph colorings, and graph tilings. Her methodological approach combines combinatorial, probabilistic, and algebraic techniques to address fundamental questions in discrete mathematics. Current investigations include structural properties of hypergraphs and extremal set theory. Her 14 publications demonstrate consistent contributions to combinatorics, with recent work focusing on Hamming cube colorings, rainbow Turán problems, and hypergraph chromatic numbers. Key trends include probabilistic analysis of extremal structures and connections between graph theory and combinatorial geometry, primarily published in top venues like Combinatorica and Journal of Combinatorial Theory. Dr. Li actively disseminates her research through international invited talks at institutions including Shandong University, Georgia Institute of Technology, and the Institute for Basic Science in South Korea, reflecting her growing influence in the global combinatorics community.

• Geotechnical Engineering
• Soil Mechanics
• Earthquake Engineering
• +۲ مورد دیگر

Dr. Bilal ÖZASLAN is a dedicated researcher and academic specializing in Geotechnical and Earthquake Engineering. Currently serving as a Doctor Research Assistant at Tokyo Institute of Technology's Department of Architecture and Building Engineering, he previously held Research Assistant positions at Ahi Evran University and Istanbul Technical University. His academic journey spans over a decade with significant contributions to seismic analysis and soil mechanics research. Dr. ÖZASLAN's educational background includes: Postdoctoral studies in Earthquake Engineering at Tokyo Institute of Technology (2023-2024) PhD in Geotechnical Engineering and Soil Mechanics from Istanbul Technical University (2014-2022) MSc in Construction Management from Istanbul Technical University (2011-2014) BSc in Civil Engineering from Istanbul Technical University (2006-2011) His research focuses on geotechnical earthquake engineering, particularly the seismic response of alluvial basins and soil-structure interaction. Dr. ÖZASLAN employs advanced numerical methods to analyze ground motion amplification in sedimentary basins and develops methodologies for site-specific seismic hazard assessment. His work bridges theoretical geotechnical principles with practical earthquake engineering applications, contributing to safer infrastructure design in seismically active regions. Dr. ÖZASLAN's publication record shows a consistent focus on seismic site response analysis, with recent work addressing the 2023 Kahramanmaras earthquake sequence. His research demonstrates a progression from fundamental soil mechanics investigations to sophisticated numerical modeling of complex seismic phenomena. The interdisciplinary nature of his work connects civil engineering, geophysics, and computational mechanics, reflecting the multifaceted challenges of earthquake engineering. Among his notable recognitions: Recipient of Istanbul Technical University's 2022 Most Successful Doctoral Thesis Award (2023) Multiple ULAKBİM Publication Incentive Awards (2020-2022) ITÜ Faculty of Civil Engineering Doctoral Thesis and Project Research Poster Day recognition (2020) Dr. ÖZASLAN has collaborated extensively with researchers from Istanbul Technical University, Gebze Technical University, and international institutions including Tokyo Institute of Technology. His research has been supported by prestigious grants including TÜBİTAK 2219-International Postdoctoral Research Fellowship and Japan Education Scholarship (JASSO). These collaborations have resulted in significant contributions to seismic microzonation and ground motion prediction. As an active member of professional organizations including the Society of Exploration Geophysicists of Japan (SEGJ), Architectural Institute of Japan (AIJ), and Earthquake Engineering Research Institute (EERI), Dr. ÖZASLAN engages with the global earthquake engineering community. His current research at Tokyo Tech focuses on modeling long-period ground motion for aftershocks of major earthquake sequences, contributing to improved seismic safety standards.

• Singularities of curves and hypersurfaces
• Hyperplane arrangements
• Configurations and matroids
• +۴ مورد دیگر

Mathias Schulze is a Professor in the Department of Mathematics at the University of Kaiserslautern-Landau (RPTU), Germany, where he leads the research group AG Algebra, Geometry and Computer Algebra (AGAG) . His office is located in Building 48, Room 434, Gottlieb-Daimler-Straße, 67663 Kaiserslautern. Research Interests His research spans several core areas of algebraic geometry and commutative algebra, with particular emphasis on: Singularities of curves and hypersurfaces Hyperplane arrangements, configurations and matroids Differential forms, derivations and free divisors D-modules and hypergeometric systems Category theory and triangulated categories Gröbner basis theory and computational algebra Publications & Scholarly Output Schulze has authored or co-authored more than 50 refereed journal articles and several preprints since 2014. His most recent work (2024-2025) explores categorical matrix factorizations, triangulated functors and stable monomorphism categories, reflecting a modern categorical approach to classical singularity theory. Teaching He maintains an extensive teaching portfolio ranging from introductory algebra and linear algebra to specialized graduate courses such as Plane Algebraic Curves Depth and Cohen–Macaulay Rings Seminars on Topics in Algebra and Geometry Computer Algebra His courses are scheduled through Summer 2025, indicating active instructional duties. Software & Tools Beyond publications, Schulze has released several specialized software libraries for the computer-algebra system Singular , including gmspoly.lib gmssing.lib linalg.lib (with Ivor Saynisch) mondromy.lib These libraries support computations with Gauss–Manin systems, singularities and linear algebra.

• Singularities of curves and hypersurfaces
• Hyperplane arrangements, configurations and matroids
• Differential forms, derivations and free divisors
• +۳ مورد دیگر

Prof. Dr. Mathias Schulze is a full professor at the University of Kaiserslautern-Landau (RPTU) in the Department of Mathematics , leading the Algebra, Geometry and Computer Algebra (AGAG) group. His research spans a wide range of topics in algebraic geometry, singularity theory, and commutative algebra, with a particular focus on singularities of curves and hypersurfaces, hyperplane arrangements, D-modules, and category theory. Research Interests: Singularities of curves and hypersurfaces Hyperplane arrangements, configurations, and matroids Differential forms, derivations, and free divisors D-modules and hypergeometric systems Category theory Gröbner basis theory Recent Publications: His work has consistently contributed to foundational areas of algebraic geometry and singularity theory. Notable recent articles include studies on triangulated categories, matrix factorizations, and the structure of derived categories. His research often intersects with combinatorics and commutative algebra, as seen in his work on configuration polynomials and matroid theory. Teaching: Prof. Schulze teaches a broad spectrum of courses, from introductory algebra to advanced topics in algebraic geometry and singularity theory. His upcoming courses for SS 2025 include "Algebraic Structures," "Plane Algebraic Curves," and "Depth and Cohen-Macaulay Rings." Contact: Email: mschulze@rptu.de Office: Gottlieb-Daimler-Straße, Building 48, Room 434, 67663 Kaiserslautern Phone: +49 631 205 5489

• Computational Fluid Dynamics (CFD)
• Large-Eddy Simulation (LES)
• Aero-acoustics
• +۵ مورد دیگر

Prof. Dr.-Ing. Wolfgang Schröder is a full professor at RWTH Aachen University and currently serves as Dean of the Faculty of Mechanical Engineering . In addition, he is Director of the Institute of Fluid Mechanics and Aerodynamics , a member of the Steering Committee of the Profile Area Modeling & Simulation Sciences , and RWTH’s representative in the Scientific and Technical Council (WTR) of the Forschungszentrum Jülich. His professional addresses are Wüllnerstraße 5a, 52062 Aachen and Eilfschornsteinstraße 18, 52062 Aachen , reachable at office@aia.rwth-aachen.de and dekan@fb4.rwth-aachen.de . His research portfolio spans computational fluid dynamics , large-eddy simulation , aero-acoustics , turbulent boundary-layer control , drag-reduction technologies , high-performance computing for multi-phase flows, and biomedical flow modeling . Recent work emphasizes: Multi-fidelity and surrogate modeling for active flow control and drag reduction. Advanced LES and hybrid RANS/LES methods for complex internal and external flows. Coupled CFD/CAA approaches to predict and mitigate aero-acoustic noise from airframes, landing gears, and distributed propellers. High-resolution simulations of gas-liquid and electrochemical flows in engineering and biomedical contexts. Across more than 80 peer-reviewed contributions since 2021, a clear trend emerges toward physics-based machine learning , real-time optimization , and exascale-ready algorithms that integrate experimental data (PIV, DLS) with massively parallel simulations. Scientific Awards & Honors : No specific awards are enumerated in the supplied text; however, his continuous leadership roles (Dean, Institute Director, WTR representative) indicate sustained recognition within the academic community. Advising & Funding : While individual student names are not listed, Prof. Schröder heads a large research group responsible for numerous doctoral and master’s theses. Projects are supported by German federal programs, EU Horizon initiatives, and industrial partnerships with aerospace and automotive sectors. Laboratories & Teams : He directs the Institute of Fluid Mechanics and Aerodynamics (AIA), operates within the Center for Computational Engineering Science (CCES), and leverages RWTH’s high-performance computing clusters for large-scale simulations.

Peter Macgregorمشاهده پروفایل

مدرس

• Algorithms
• Data Science
• Machine Learning
• +۴ مورد دیگر

Peter Macgregor is a Lecturer at the School of Computer Science, University of St Andrews, specializing in algorithms for data science and machine learning. His research focuses on graph theory, clustering algorithms, and computational geometry for similarity search. Primary Affiliation: School of Computer Science, University of St Andrews Research Themes: Spectral clustering, Clustering algorithms, Graph algorithms, Similarity search, Theoretical computer science Research Interests: Data Science and Machine Learning are at the core of Peter Macgregor's research, with a particular emphasis on Spectral Clustering, Clustering Algorithms, and Computational Geometry. He explores topics like kernel density estimation for similarity graphs, efficient data structures for dynamic datasets, and theoretical guarantees for clustering methods. Scientific Output Trends: His recent work (2022-2025) spans spectral clustering optimizations, dynamic DBSCAN variants, and similarity graph approximations. Publications focus on algorithmic efficiency, clustering quality metrics, and theoretical foundations of machine learning.

Murad Alimمشاهده پروفایل

دانشیار

• Mathematical Physics
• Theoretical Computer Science
• Topology
• +۶ مورد دیگر

Murad Alim is an Associate Professor at Heriot-Watt University's School of Mathematical & Computer Sciences, Department of Mathematics. His research focuses on the intersection of mathematical physics and theoretical computer science, particularly in areas such as topology, string theory, and quantum mechanics. Top Research Topics: Topology (100%), String Theory (100%), Quantum Curves, BPS Structures, Resurgence Theory, Special Geometry His recent work explores non-perturbative phenomena in topological strings, quantum curves, and exact WKB methods, with applications to BPS structures and attractor flows. He actively supervises PhD students and contributes to advancements in geometric and algebraic frameworks for quantum field theories. Selected Trends: The articles highlight a focus on duality in quantum systems, resurgence techniques for non-perturbative effects, and geometric interpretations of BPS states. Collaborations with researchers like D. Bryan, L. Hollands, and J. Teschner demonstrate interdisciplinary engagement.

Francesc Alías Pujolمشاهده پروفایل

استاد

• Speech Processing
• Acoustic Signal Processing
• Text-to-Speech Synthesis
• +۷ مورد دیگر

Francesc Alías Pujol is a Professor at the Department of Engineering, Ramon Llull University (La Salle Campus Barcelona), where he also serves as Director of Teaching and Research Staff Policies since September 2019 and coordinates the PhD Program in Information Technologies since February 2022. He is a researcher in the Human-Environment Research (HER) group, focusing on speech and acoustic signal processing for natural human-machine interaction. His educational background includes: BSc in Telecommunications Engineering (1997) MSc in Electronics Engineering (1999) PhD in ICT and their application in Management (2006) MBA in Business Administration (2013) University Expert Program in Digital Transformation (2023) Dr. Alías's research primarily focuses on signal processing, with special emphasis on speech and acoustic signal processing to achieve natural interaction between humans, machines, and their environment. His work spans from Text-to-Speech (TTS) synthesis to vocal biomarkers for digital health applications, numerical voice simulation, and environmental acoustics. He has developed expertise in expressive speech analysis and synthesis, sound source identification, and smart city applications through wireless acoustic sensor networks. His publication record shows a consistent trajectory in speech and acoustic processing, with recent work focusing on the impact of global events like the COVID-19 pandemic on urban soundscapes, advanced techniques for glottal source analysis, and the development of algorithms for anomalous noise event detection in smart city applications. His research bridges theoretical signal processing with practical applications in environmental monitoring and human-computer interaction. Dr. Alías has received numerous scientific awards including: 3rd six-year research merit (2018-2023) from AQU Catalunya Most cited paper in Noise Mapping (2021) for his work on COVID-19's impact on urban noise 2nd six-year research merit (2012-2017) from AQU Catalunya Best academic record award for his MBA (2013) Multiple best paper awards from the Spanish Thematic Network on Speech Technology He has led and participated in numerous research projects including DISTRESIA (stress biomarker identification), FEMVoQ (3D voice simulation), SUARAMAP (acoustic monitoring for dementia detection), GENIOVOX (expressive voice generation), and DYNAMAP (dynamic noise mapping). His work has been supported by various funding bodies including the European Commission, Spanish Ministry of Science, and Catalan Government. As coordinator of the PhD Program in Information Technologies and former Director of the Department of Engineering (2014-2021), Dr. Alías plays a significant role in academic leadership at La Salle-URL. His research group focuses on the intersection of speech processing, environmental acoustics, and smart city applications, contributing to both theoretical advancements and practical implementations in these fields.

• Hyperbolic Geometry
• Coxeter Groups
• Teichmüller Theory
• +۲ مورد دیگر

Yohei Komori is a Professor at the Department of Mathematics, Faculty of Education and Integrated Arts and Sciences, Waseda University. His research spans hyperbolic geometry, Coxeter groups, Teichmüller theory, and low-dimensional topology. He has made significant contributions to understanding growth rates of hyperbolic Coxeter groups, pleating coordinates in Teichmüller space, and structures of quasi-Fuchsian groups. Education: PhD in Mathematics (Waseda University). Research: Focus on hyperbolic Coxeter groups' growth rates (proved they are Perron/2-Salem numbers), Teichmüller space compactifications, and degenerate families of Riemann surfaces. Publications: 12 papers on Scopus, including works in Proceedings of the Japan Academy and Conformal Geometry and Dynamics . Teaching: Courses in geometry, analysis, and seminars for graduate and undergraduate students. Presentations: Invited talks at international conferences like the Oberseminar Geometrie (Fribourg) and Mini-Workshop on Reflection Groups (Hausdorff Institute).

Robert Baileyمشاهده پروفایل

دانشیار

• Discrete Mathematics
• Algebraic Graph Theory
• Combinatorial Design Theory
• +۷ مورد دیگر

Robert Bailey is an Associate Professor of Mathematics at the School of Science and the Environment, Grenfell Campus, Memorial University, with a cross-appointment to the Department of Mathematics and Statistics in St. John's. He joined Grenfell in 2013 after postdoctoral positions at Ryerson University, the University of Regina, and Carleton University. Education : M.Math. (Hons.) from the University of Leeds (2002), Ph.D. from Queen Mary, University of London (2006), with an exchange year at the University of Waterloo. Research Interests center on discrete mathematics, particularly algebraic graph theory, combinatorial design theory, and permutation groups. His work focuses on distance-regular graphs, metric dimension, error-correcting codes, and group theory, with applications in network modeling and computational combinatorics. Research Trends from his 15 most recent articles include advanced studies in metric dimension for polar and incidence graphs, classification of distance-regular structures, and innovative applications in coding theory and design theory. His interdisciplinary approach bridges pure mathematics with real-world problems in computer networks and information theory. Scientific Awards NSERC Discovery Grant (2024-29) PIMS Postdoctoral Fellow (2009-11) University start-up grants and Seed Fund support Advising and Grants involve mentoring numerous undergraduate and postdoctoral researchers. His funded projects explore symmetry breaking, distance-regular graph databases, and combinatorial coding, supported by NSERC and institutional funds. Labs and Teams include the Distance-Regular Graph Database developed with students, and collaboration with the Combinatorics Group at St. John's campus. He organized major conferences like the 16th East Coast Combinatorics Conference (2024) and Symmetry Breaking in Discrete Structures (2018).

• Complex Networks
• Gene Regulatory Networks
• Nonlinear Dynamical Systems
• +۶ مورد دیگر

Enrico Borriello serves as a Research Assistant Professor in Arizona State University's School of Complex Adaptive Systems and holds a concurrent appointment as Senior Global Futures Scientist. His interdisciplinary work bridges theoretical physics with complex systems science, focusing on network dynamics and astrophysical phenomena across ASU's research initiatives including the Complex Systems Research Group and Biosocial Complexity Initiative. Borriello's research centers on the controllability of complex networks—particularly gene regulatory systems—and non-linear dynamics in biological modeling. He equally investigates theoretical particle physics and astrophysics, specializing in neutrino behavior within supernovae and dark matter signatures through cosmic ray interactions. His expertise spans Network Science, Nonlinear Dynamical Systems, Neutrino Astrophysics, and Information Theory, with applications ranging from transcriptional regulation to galactic magnetic field phenomena. Analysis of his publication record reveals two dominant research streams: network science (focusing on Boolean network controllability, attractor landscapes, and evolutionary frameworks) and particle astrophysics (addressing neutrino oscillations, supernova modeling, and dark matter detection). This dual focus demonstrates his ability to apply theoretical physics principles to both biological complexity and cosmic-scale phenomena. Scientific Awards: No awards or fellowships were mentioned in the source materials. Advising and Grants: The provided information does not specify doctoral students, postdoctoral researchers, or grant funding details. His teaching portfolio indicates extensive course development in complex systems methodology rather than direct research supervision. Labs and Teams: Borriello actively contributes to ASU's Complex Systems Research Group and Biosocial Complexity Initiative, interdisciplinary hubs that facilitate collaboration between computational modelers, biologists, and social scientists studying emergent phenomena in adaptive systems.