جستجوی استاد راهنمای دانشگاهی

Maria Chiara Brambillaمشاهده پروفایل

دانشیار

• Algebraic Geometry
• Commutative Algebra
• Moduli Spaces
• +۳ مورد دیگر

Maria Chiara Brambilla is an Associate Professor in the Department of Industrial Engineering and Mathematical Sciences (DIISM) at Università Politecnica delle Marche, Faculty of Engineering. Her research specializes in algebraic geometry, with emphasis on moduli spaces, vector bundles, and secant varieties. She investigates fundamental structures in birational geometry and interpolation theory, contributing to advancements in the classification of geometric objects and their deformations. Research Focus: Her work explores: Birational properties of Mori dream spaces and blowups Defectivity and non-defectivity in Segre-Veronese varieties Terracini loci and their minimality conditions Geometric invariants of flag manifolds and hypersurfaces Algebraic boundaries in tensor rank theory Publication Trends: Recent articles (2021-2025) demonstrate deepening work on Terracini loci, twistor geometry, and movable divisors, frequently employing combinatorial and deformation-theoretic methods to resolve problems in higher-dimensional algebraic geometry.

Daniel Twardمشاهده پروفایل

استادیار

• Neuroimaging
• Computational Neuroscience
• Machine Learning
• +۴ مورد دیگر

Dr. Daniel Tward is an Assistant Professor at the University of California, Los Angeles (UCLA), holding joint appointments in the Department of Neurology and the Department of Computational Medicine. He earned his Ph.D. in Biomedical Engineering from Johns Hopkins University and completed postdoctoral training at the Kavli Neuroscience Discovery Institute. His research integrates neuroimaging, machine learning, and differential geometry to analyze brain structure changes in neurodegenerative diseases like Alzheimer's, with a focus on bridging molecular pathology and clinical imaging. Research Interests: Dr. Tward's work addresses challenges in neuroimaging data complexity, developing computational tools to map brain anatomy across scales (from centimeters to microns). Key areas include neurodegeneration in the medial temporal lobe, multi-modal image registration, and spatial transcriptomics. His lab emphasizes high-dimensional statistics and geometry-driven analysis to improve diagnostic accuracy and clinical trial design. Grants & Projects: Secured NIH funding for: A 3D multimodal human brain atlas integrating MRI and histology. CloudReg—a distributed framework for massive neuroimage registration. Contributions to the BRAIN Initiative Cell Census Network (BICCN) for mouse/rat brain atlases. Students & Training: Mentors undergraduate researchers via the BIG Summer program, with projects on neural networks, spatial transcriptomics, and MRI analysis. No PhD/Master's advisees listed.

• Geometry
• Analysis
• Complex Analysis
• +۴ مورد دیگر

Professor Mario Bonk is affiliated with the Department of Mathematics at the University of California, Los Angeles (UCLA). His research bridges geometry and analysis, focusing on quasiconformal geometry, complex dynamics, and analysis on metric spaces. He co-organizes the international Zoom research seminar "Quasiworld" with Sylvester Eriksson-Bique, Misha Hlushchanka, and Annina Iseli. Research Interests : Geometry, analysis, complex analysis, dynamics of rational maps, geometric group theory, analysis on metric spaces. Teaching : Courses include Real Analysis, Complex Analysis, Probability Theory, and Linear Algebra. His recent work extends classical geometric and analytic results to non-smooth or fractal settings. Collaborations and seminars emphasize interdisciplinary approaches to expanding Thurston maps and geometric function theory.

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

Norbert J. Mauser is a Professor of Mathematics at the University of Vienna 's Faculty of Mathematics. He serves as Director of the Wolfgang Pauli Institute and Co-Director of the Jungen Kurie at the Austrian Academy of Sciences. Mauser coordinates major EU projects like HYKE and DEASE , focusing on hyperbolic and kinetic equations, differential equations, and their applications in science and engineering. Research Interests : Mauser specializes in Partial Differential Equations (PDEs) , particularly Nonlinear Schrödinger Equations (NLS) , with applications in Quantum Physics and Computational Materials Science . His work spans mathematical modeling , numerical methods , and asymptotic analysis , addressing problems in micromagnetism , quantum correlation , and nonrelativistic limits . He explores Wigner transforms , stochastic NLS , and multi-configuration Hartree-Fock equations for quantum systems. Scientific Contributions : Grants & Projects : Principal Investigator for START Award , FWF , WWTF , and ANR-FWF projects on quantum dynamics, correlation, and nano-sensors. Collaborations : Active in international networks including CNRS Groupement de Recherche on kinetic equations and quantum physics. Publishing : Senior editor for journals like Asymptotic Analysis and Communications in Mathematical Sciences . Labs & Teams : Leads projects under Vienna Computational Materials Laboratory (ViCoM) and contributes to multi-scale modeling of nano-biosensors. His research integrates computational methods with theoretical physics, emphasizing quantum systems and nonlinear PDEs.

Austin Tarantaمشاهده پروفایل

استاد

• Hollow core antiresonant fibres
• Hollow core optical fibre sensors
• Fibre-optic gyroscopes
• +۴ مورد دیگر

Austin Taranta serves as a Professor at the University of Southampton's Optoelectronics Research Centre (ORC), where he leads research and enterprise initiatives within the Hollow Core Fibres Group. Since joining the ORC in 2016, he has driven advancements in hollow core fibre technology for defence and space applications, authored over 50 peer-reviewed publications, secured significant research funding, and manages key industrial partnerships including a Microsoft research contract. His work bridges fundamental fibre physics with practical sensor development. His academic background includes a BSc in Chemical Engineering from the Massachusetts Institute of Technology (2006) and a PhD in Optoelectronics from the University of Southampton (2024). Prior to academia, he gained industry experience as Senior Optical Engineer at Honeywell Aerospace's Strategic Sensors Group developing fibre-optic gyroscopes. Taranta's research focuses on exploiting the unique properties of hollow core fibres for next-generation sensing systems. Key areas include: Hollow core antiresonant fibre guidance physics Gas pressure and temperature dynamics in hollow fibres Polarization behavior in nodeless antiresonant structures Novel sensor architectures for defence applications Bend-insensitive fibre designs for telecom integration Non-destructive characterization methodologies Analysis of his 2023-2024 publications reveals concentrated efforts on solving manufacturing challenges, environmental stability issues, and sensor integration barriers in hollow core fibre technology. His work demonstrates strong industry alignment through Microsoft collaborations and defence-focused applications, particularly in distributed sensing systems and next-generation gyroscopes. No specific scientific awards or medals are listed in the provided text, though his profile notes responsibility for multiple research awards and patent holdings including optical time domain reflectometry innovations. Taranta actively supervises PhD candidates Amalie Gjelsvik and Chiang Ping Saw (part-time), while managing industrial research contracts and academic partnerships. His funding portfolio includes strategic defence projects through Honeywell Aerospace and Microsoft collaborations, supporting the Hollow Core Fibres Group's translational research pipeline. He leads the Hollow Core Fibres Group within the ORC, focusing on commercializing hollow core antiresonant fibre technology through the Hollow Core Fibres Group. Current work targets polarization control, environmental resilience, and sensor integration with industry partners to develop deployable systems for aerospace and defence sectors.

• Dynamical Systems
• Hamiltonian Mechanics
• Biomechanics
• +۴ مورد دیگر

Holger Dullin is a Professor of Applied Mathematics at the School of Mathematics and Statistics, University of Sydney. His research focuses on Hamiltonian dynamical systems, integrable systems, and their applications in mechanics, fluid dynamics, and biomechanics. He serves as a member of the Sydney Southeast Asia Centre and the Applied Mathematics Research Group. Member of Sydney Southeast Asia Centre Member of Applied Mathematics Research Group Research Interests include: Hamiltonian systems and integrability Quantum and classical monodromy Geometric phase phenomena N-body and rigid body dynamics Volume-preserving mappings His work spans from fundamental mathematical physics to interdisciplinary applications in biomechanics and space engineering , with recent studies on light sail stabilization and geometric phase optimization in diving. Publications cover 2024 to 2003, showing sustained contributions to nonlinear dynamics , stability analysis , and symplectic geometry . Teaching includes advanced courses in Hamiltonian dynamics and nonlinear ODEs. Current research students include Babak Attarha and Gleb Palshin , with past supervision of William Tong (PhD 2016) on geometric phases in diving.

• Integrable Systems
• Painlevé Equations
• Discrete Systems
• +۵ مورد دیگر

Professor Nalini Joshi is Chair of Applied Mathematics at the University of Sydney and a leading expert in integrable systems and Painlevé equations. She is a Fellow of the Australian Academy of Science and has received numerous honors including an Officer of the Order of Australia (2016) and the George Szekeres Medal (2020). Institution: The University of Sydney Department: School of Mathematics and Statistics Email: nalini.joshi@sydney.edu.au Education BSc (Hons) with University Medal in Applied Mathematics (1982), University of Sydney PhD in Computational and Applied Mathematics (1987), Princeton University Research Interests Nalini Joshi's research focuses on mathematical methods for studying physical models at all scales, including post-quantum cryptography, Painlevé equations, discrete integrable systems, and geometric asymptotics. Her work spans nonlinear dynamics, algebraic geometry, and quantum frontiers. Scientific Contributions She has published extensively on Painlevé equations, discrete integrable systems, and their applications. Recent work includes extending integrable methods to cryptographic systems and analyzing asymptotics of q-difference equations. Scientific Awards Fellow of the Australian Academy of Science (2008) ARC Georgina Sweet Laureate Fellowship (2012-2018) Eureka Award for Outstanding Mentor (2018) George Szekeres Medal (2020) ANZIAM Medal (2021) Mentorship and Leadership She has supervised numerous PhD students and co-founded the Science in Australia Gender Equity (SAGE) initiative, promoting diversity in STEM. Her grants include $10M+ from the Australian Research Council.

Roman Franz Froschauerمشاهده پروفایل

استاد

• Software Engineering for Intelligent Automation Systems
• Human-Robot Interaction
• Control Systems
• +۷ مورد دیگر

Roman Franz Froschauer is a Professor of Production Informatics at the Upper Austria University of Applied Sciences, Research Center Wels. Since 2018, he has served as Director of Studies for the Master's program in Robotic Systems Engineering and leads the Smart Automation & Robotics research group. His career spans academic and industrial roles, including senior software development and project management at AlpinaTec Technical Products GmbH (2010-2016). Education: Ph.D. in Computer Science (2010) from Johannes Kepler University Linz; Master's in Industrial Informatics (2005) from Upper Austria University of Applied Sciences. Research Areas: Software engineering for intelligent automation systems, human-robot interaction (HRI), control systems, and applications of IEC 61499 standards. His work focuses on proactive collaboration, trajectory planning, and user-centered design for assistive robots in office and industrial settings. Scientific Activities: Active in peer-review, conference organization, and technology development. Projects include VRoboCoop (human-robot trust), MARIE (office robotics), and Autility (automated utility vehicles). Key Contributions: Frameworks for modular manufacturing (PlugBot), skill-based engineering, and intralogistics automation (ATLAS).

Ellen Eischenمشاهده پروفایل

استاد

• automorphic forms
• L-functions
• number theory
• +۵ مورد دیگر

Ellen Eischen is a Professor of Mathematics at the University of Oregon in the College of Arts and Sciences. She is currently on leave until fall 2025 while serving as a von Neumann Fellow at the Institute for Advanced Study (2024-2025). She serves on the editorial boards of Essential Number Theory and Research in Number Theory. Dr. Eischen earned her PhD in Mathematics from the University of Michigan in 2009 with a dissertation titled "p-adic Differential Operators on Automorphic Forms and Applications" advised by Christopher Skinner and Nicholas Ramsey. Her educational background includes substantial training in improvisational theater, which has significantly influenced her professional development. Her primary research focuses on automorphic forms and L-functions, with particular emphasis on algebraic, p-adic, and geometric aspects of number theory. She approaches her research with a collaborative spirit, noting that number theory "relies on many flavors of math." Beyond traditional research, she is deeply committed to mathematical creativity and public engagement, having created the "Creativity Counts" exhibit at the Jordan Schnitzer Museum of Art and serving on the Advisory Board of the Seattle Universal Math Museum since 2021. She has developed innovative teaching methods through improvisational theater techniques, documented in publications like "Improv-ing a Mathematician's Professional Skills" and "Seeds for Building Community" with C. Hsu. Dr. Eischen's scholarly output demonstrates a consistent focus on advancing the theory of automorphic forms and L-functions, with recent work extending to mathematical creativity and educational innovation. Her publications span technical mathematical research in number theory to articles exploring the creative process in mathematics and improvisational techniques for teaching, reflecting her dual commitment to mathematical rigor and accessibility. von Neumann Fellow at the Institute for Advanced Study (2024-2025) NSF research grant DMS-2302011 NSF CAREER grant DMS-1751281 Williams Fund support for educational initiatives Dr. Eischen has advised numerous graduate students including Cathy Hsu (now Assistant Professor at Swarthmore College), Jon Aycock (now Visiting Assistant Professor at UCSD), Samantha Platt (now Assistant Professor at Augsburg University), and Sean Haight (now Adjunct at Seattle University). Her current PhD students include Francis Dunn and Sidney Washburn. She has also mentored undergraduate researchers such as Abby Lewis and Nat Milnes, whose work resulted in published outreach projects and an Apple App Store application. She has received significant grant support including an NSF CAREER award and current NSF research funding for her work in number theory and mathematical education. Through her "Math and the Creative Process" course and improv workshops for mathematicians, Dr. Eischen has built interdisciplinary teams connecting mathematics with theater arts. She co-organizes major workshops including the "Integrating Research and Illustration in Number Theory" at Institut Henri Poincaré (2026) and has led sessions at the Institute for Advanced Study, MSRI, and other prestigious institutions. Her Creativity Counts project has created a lasting impact through both physical and virtual museum exhibits that showcase the creative side of mathematics.

Rebecca Roweمشاهده پروفایل

استاد

• Community Ecology
• Historical Ecology
• Landscape Ecology
• +۵ مورد دیگر

Rebecca Rowe is a Professor and Chair in the Department of Natural Resources and the Environment at the University of New Hampshire. Her research bridges community ecology, historical ecology, and landscape ecology to investigate anthropogenic environmental change impacts on species distribution and biodiversity, particularly in small mammals of mountainous regions. She employs field surveys, historical records, and geospatial data to model ecological dynamics. Education: Ph.D. in Evolutionary Biology from the University of Chicago B.A. in Biology and Anthropology from Bowdoin College Research Focus: Rebecca’s work addresses spatial and temporal scale synthesis to forecast chronic environmental change effects. She emphasizes natural history collections for ecological conservation and explores disturbance gradients, habitat tolerance, and computational ecology tools like BirdNET for biodiversity monitoring. Publication Trends: Recent (2024–2025) articles integrate computational methods with field studies, examining Arctic greening, breeding strategies, and BirdNET validation. Earlier work (2009–2011) analyzes elevational diversity gradients, Great Basin resource decline, and Philippine endemic fauna resilience. All highlight interdisciplinary approaches to climate change and land use impacts. Courses: INCO 790: Advanced Research Experience NR 603: Landscape Ecology NR 642: Introduction to Biogeography NR 712/812: Mammalogy NR 903: Approach to Research

Jan Ratajمشاهده پروفایل

استاد

• Integral Geometry
• Geometric Measure Theory
• Stochastic Geometry
• +۲ مورد دیگر

Jan Rataj is a Professor at the Faculty of Mathematics and Physics , Charles University , specializing in Integral Geometry , Geometric Measure Theory , and Stochastic Geometry . He has been affiliated with Charles University since 1991 and has held visiting positions at universities in Jena, Karlsruhe, Ulm, and Aarhus. Research interests focus on geometric probability, convex geometry, and measure theory Teaches courses on Measure and Integration Theory , Geometry , and advanced topics in geometric measure theory Scientific contributions include coauthoring 2 monographs and ~50 research papers. His work explores: Random measurable sets and perimeter analysis Stochastic modeling of microstructures Geometric functionals and invariants Applications to spatial statistics and probability theory He supervises PhD students and leads the Seminar of Stochastic Geometry , which examines topics like: Max-stable random fields Convex body reconstruction Point process analysis

Letterio Gattoمشاهده پروفایل

دانشیار

• Algebraic Geometry
• Commutative Algebra
• Non-commutative Algebra
• +۷ مورد دیگر

Letterio Gatto is a Tenured Associate Professor in the Department of Mathematical Sciences (DISMA) at Politecnico di Torino, Italy. His research focuses on algebraic geometry, commutative algebra, and their connections to mathematical physics. He has held visiting positions at Brazilian institutions including Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) and Conselho Nacional de Desenvolvimento Científico e Tecnológico. Gatto has been actively involved in international collaborations, particularly between Italy and Brazil, and has received several research awards including the Collectanea Mathematica's Distinguished Paper Award. His educational background includes a Laurea in Matematica from Università di Torino (1987, 110/110 e Lode), a Dottorato di Ricerca in Matematica from Consorzio Universitario Torino-Genova (1988-1992), a Visiting Ph.D. student position at Boston University (January-June 1990), and a Postdoc at Rijkuniversiteit te Utrecht (1994-1995) with a NATO fellowship. Gatto's research spans several interconnected areas in mathematics. His primary focus is on the application of Hasse-Schmidt derivations on exterior algebras to symmetric polynomials and Schubert calculus. He investigates vertex operators in Heisenberg's vertex algebra and their connections to bosonic and fermionic representations of infinite-dimensional Lie algebras. His work also extends to Wronskians and ordinary differential equations with indeterminate coefficients, as well as families of special Weierstrass points on complex algebraic curves. These research threads converge in his development of the theory of Hasse-Schmidt Derivations on Exterior Algebras (HiDEAs). Gatto's recent publications demonstrate a consistent focus on algebraic structures related to exterior algebras and their applications. His work bridges commutative algebra, representation theory, and algebraic geometry. A notable trend is the exploration of connections between Grassmann algebras, Clifford algebras, and Lie algebra representations. His research has increasingly incorporated vertex operator techniques and their applications to Schubert calculus. The collaborative nature of his work is evident through partnerships with mathematicians across Europe and the Americas. His major awards include: Collectanea Mathematica's Distinguished Paper Award (2022) MARM AWARD (Mentoring African Research in Mathematics) by London Mathematical Society Cientista Visitante fellowship from FAPESP (multiple periods) Gatto has served on PhD committees at Università degli Studi di Torino for multiple cycles (32nd-34th). He has been a scientific responsible for the MARM Partnership project (2024-2025) between Politecnico di Torino and University of Lubumbashi. His grant activities include the MARM program (2020-2022) mentoring mathematics research at the University of Namibia. He has organized several international meetings including 'Mathematics Building Partnership with Africa' (2023) and 'A Fall Meeting in Algebraic Geometry and Related Topics' (2017). Gatto is part of the 'Algebraic, Computational and Differential Geometry' research group at DISMA and has been an active peer reviewer for numerous mathematical journals.

• Engineering Education
• Harmonic Analysis
• Functional Analysis
• +۵ مورد دیگر

Anita Maria Tabacco is a Full Professor at the Department of Mathematical Sciences (DISMA) of Politecnico di Torino, with a focus on Engineering Education and Harmonic Analysis. She holds multiple administrative roles, including Rector's Delegate for Transparency and Internal Communication, Director of the University Observatory for academic dynamics, and Head of the INDAM local unit. Education: PhD in Mathematics, Washington University in St. Louis (1986) Research: Harmonic and Functional Analysis, Applications to PDEs, Gender Equality in STEM Her recent publications highlight intersections of mathematical analysis, educational technology, and gender diversity initiatives. She has led Erasmus+ projects like HerTechVenture and W-STEM to empower women in tech. Tabacco supervises PhD students including Maria Giulia Ballatore and contributes to textbooks such as Palestra di Analisi Matematica I . She co-leads the TEACH research group at DISMA, integrating pedagogical innovation with advanced mathematics.

Paul Kotyczkaمشاهده پروفایل

استاد

• Control Engineering
• Nonlinear Control
• Port-Hamiltonian Systems
• +۸ مورد دیگر

Paul Kotyczka is a Professor at the Technical University of Munich (TUM) in the School of Engineering and Design , Department of Automatic Control Engineering. He leads the Energy-based Modeling and Control Working Group and focuses on modeling, geometric discretization, and control of multi-physical systems, with expertise in nonlinear and passivity-based control. His work spans applications in robotics, mechatronics, and process engineering. Education : Dipl.-Ing. in Electrical Engineering (TUM, 2005), Dr.-Ing. (TUM, 2010), Habilitation (Dr.-Ing. habil., TUM, 2019). Research : Core areas include port-Hamiltonian systems, predictive control of active chassis, structural mechanics modeling, and numerical methods for control. His projects address autonomous driving, distributed parametric systems, and passivity-based control of switching nonlinear systems. Awards : Held a Marie Sklodowska-Curie Fellowship (2015–2017). Grants : Leads DFG projects (e.g., HermInE, INFIDHEM), MSCA-IF, and Franco-German Doctoral Program on port-Hamiltonian systems. Labs : Head of the Energy-based Modeling and Control group at TUM, collaborating internationally (e.g., IIT Bombay, Grenoble INP, LCIS France).

Roie Levinمشاهده پروفایل

استادیار

• Approximation Algorithms
• Online Algorithms
• Submodular Functions
• +۵ مورد دیگر

Roie Levin is an Assistant Professor at Rutgers University's Department of Computer Science. He received his PhD in Algorithms, Combinatorics and Optimization from Carnegie Mellon University in 2022, advised by Anupam Gupta. Prior to that, he worked at the Allen Institute for Artificial Intelligence (2015-2017) and earned dual BSc degrees in Computer Science/Applied Mathematics and Mathematics from Brown University (2015). Before joining Rutgers, he was a Fulbright Postdoctoral Fellow at Tel Aviv University under Niv Buchbinder. Current Role: Assistant Professor in Computer Science Academic Training: PhD (2022) CMU, BSc (2015) Brown University Postdoctoral: Fulbright Fellow at Tel Aviv University Levin's research focuses on approximation algorithms for uncertain environments (online/dynamic/streaming models) and submodular function optimization. His work spans theoretical foundations and practical implementations across distributed systems, geometric constraints, and reinforcement learning paradigms. Teaching includes graduate and undergraduate algorithms courses (CS 344, CS 513) with emphasis on problem-solving techniques, computational complexity, and modern algorithmic trends. His publications showcase expertise in online algorithms, submodular optimization, and approximation theory with applications in clustering, caching, and machine learning. The 2025 articles demonstrate continued exploration of online consistency and contention resolution, while 2023-2024 works focus on submodular optimization under uncertainty and dynamic environments. Earlier publications (2015-2017) cover semantic parsing, geometric approximation, and planar graph optimization. Fulbright Postdoctoral Fellow Levin's research connects theoretical guarantees with practical implementations, bridging classical algorithm design with modern machine learning applications. His recent work explores primal-dual methods in online settings and robust subspace approximation techniques for streaming data environments.