جست‌وجوی استاد و پژوهشگر

Carlos Amendolaمشاهده پروفایل

استادیار

• Algebraic Statistics
• Applied Algebraic Geometry
• Nonlinear Algebra
• +۵ مورد دیگر

Carlos Amendola is an Assistant Professor (tenure-track) of Algebraic and Geometric Methods in Data Analysis at the Institute of Mathematics of the Technical University of Berlin. Previously, he was a postdoc at TU Munich in Mathematical Statistics and Optimization and Data Analysis groups, and served as a substitute professor at Ulm University. His academic journey includes a PhD from TU Berlin under Bernd Sturmfels and Christian Haase, an M.Sc. from NYU's Courant Institute, and dual B.Sc. degrees from Mexican institutions. B.Sc. in Applied Mathematics, Instituto Tecnológico Autónomo de México B.Sc. in Mathematics, Universidad Nacional Autónoma de México M.Sc. in Mathematics, Courant Institute at New York University Ph.D. in Mathematics, Technical University of Berlin (2017) Amendola's research centers on Algebraic Statistics, with significant contributions to Applied Algebraic Geometry and Nonlinear Algebra. His work explores the intersection of algebraic methods with statistical modeling, particularly focusing on Gaussian mixtures, likelihood geometry, moment varieties, graphical models, and path signatures. He has developed novel approaches connecting tropical geometry with max-linear graphical models for extreme value theory, and has made important contributions to understanding maximum likelihood estimation through algebraic and geometric perspectives. His recent publications demonstrate a strong focus on applying algebraic techniques to statistical problems, with particular emphasis on path signatures, tropical geometry, and graphical models. The research shows a clear trajectory toward developing computational methods for complex statistical models using algebraic geometry, with applications spanning machine learning, causal inference, and extreme value analysis. Amendola serves as an editor for the Algebraic Statistics (AStat) journal since 2022 and has organized major conferences including Algebraic Statistics 2025. He has successfully secured significant research funding through Berlin Mathematics Research Center MATH+ Project AA3-16, DFG Collaborative Research Center CRC/TRR 388, and DFG Priority Program SPP 2458. As an advisor, Amendola currently supervises four PhD students (Janike Oldekop, Kamillo Ferry, Francesco Nowell, and Gabriel Riffo) and two postdocs (Rosa Preiß and Leonard Schmitz). His teaching portfolio includes courses on Algebraic Statistics, Discrete Geometry, and various mathematics subjects at both undergraduate and graduate levels.

• Nonlinear Algebra
• Metric Algebraic Geometry
• Applied Algebra
• +۳ مورد دیگر

Paul Breiding is a Professor for Mathematical Methods in Data Science at the University of Osnabrück, affiliated with the working group Applied Algebra and Data Analysis and the Research Unit Data Science . His research focuses on nonlinear algebra and metric algebraic geometry, bridging mathematical theory with data science applications. Nonlinear Algebra Algebraic Geometry Numerical Methods in Mathematics Data Science Applications Professor Breiding contributes to computational mathematics through the development of the HomotopyContinuation.jl software, which implements pencil-based algorithms for solving polynomial systems. His work includes the co-authored book Metric Algebraic Geometry , published in collaboration with Kathlen Kohn and Bernd Sturmfels. Scientific Awards Fellow of the Junge Akademie Mainz

• Algebraic Geometry
• Number Theory
• Computational Algebraic Geometry
• +۵ مورد دیگر

Emre Sertöz is an assistant professor with tenure in the Algebra, Geometry, and Number Theory group at the Mathematical Institute of Leiden University. Prior to his current position, he held postdoctoral positions at Leibniz University Hannover, Max Planck Institute for Mathematics in Bonn, and Max Planck Institute for Mathematics in the Sciences in Leipzig. He completed his PhD in Mathematics at Humboldt University of Berlin with a short stay at University of Amsterdam. His educational background includes: PhD in Mathematics, Humboldt University of Berlin (with a short stay at University of Amsterdam) Dr. Sertöz's research focuses on the intersection of algebraic geometry, number theory, and computational mathematics. His work primarily explores the arithmetic properties of periods of algebraic varieties, computational methods in algebraic geometry, and moduli spaces. He has developed computational tools like PeriodSuite for calculating periods and Picard ranks of surfaces. His research bridges theoretical mathematics with practical computational approaches, making significant contributions to understanding the transcendental aspects of algebraic varieties. His scholarly contributions have been published in prestigious journals including the Journal of the London Mathematical Society, Algebra & Number Theory, and SIAM Journal on Applied Algebra and Geometry. His work shows a strong trend toward integrating computational methods with classical algebraic geometry problems, particularly in the areas of period computation, Hodge theory, and moduli spaces. Dr. Sertöz has received recognition for his work through invitations to present at notable venues such as Oberwolfach, and his research has been supported through various academic positions at prestigious institutions. As an advisor, Dr. Sertöz has mentored several Master's students including Rafael Mohr, Samuele Pollaci, and Kamillo Ferry. His organizational contributions include co-organizing workshops and seminars on topics ranging from computational geometry to Hodge structures, demonstrating his commitment to advancing research in his field. His current and upcoming activities include organizing the Lorentz workshop "Recurrence, transcendence, and Diophantine approximation" in July 2025, and various reading seminars on advanced topics in algebraic geometry.

• Computational Algebra
• Commutative Algebra
• Applied Algebraic Geometry
• +۳ مورد دیگر

Daniele Taufer is a postdoctoral researcher affiliated with the NUMA research unit at KU Leuven (Belgium) since 2022, supported by the FWO (Flemish Fund for Scientific Research) under project 12ZZC23N. Previously, he worked at CISPA (Germany) from 2020 to 2022 as a postdoc on elliptic curve cryptography within the ERC-669891 project, supervised by Antoine Joux. Education: Ph.D. in Mathematics (2016–2020), University of Trento (IT), cum laude, thesis: "Elliptic Loops" (supervised by Massimiliano Sala) Master in Mathematics (2014–2016), University of Duisburg-Essen (DE) and University of Leiden (NL) via the ALGANT double-degree program, thesis: "Algebraic aspects of the Number Field Sieve" (supervised by Hendrik W. Lenstra) Bachelor in Mathematics (2011–2014), University of Padova (IT), thesis: "Gröbner bases and applications" (supervised by Alberto Tonolo) Research interests span computational and commutative algebra, applied algebraic geometry, and cryptographic applications. Key areas include symmetric tensor decomposition (Waring, tangential, Chow, cactus ranks), effective decomposition algorithms (apolarity, Hankel operators), and algebro-geometrical properties of apolar schemes. His work bridges theoretical algebra and practical cryptography, particularly focusing on elliptic curves and their applications in blockchain and isogeny-based systems. Recent scientific contributions examine decompositions of symmetric tensors, elliptic curve discrete logarithm problems (ECDLP), and group structures over discrete rings. His algorithmic developments leverage apolarity and Hankel operators for computational efficiency. Scientific accolades: Maître de conférences qualification (2025) in Mathematics and Applied Mathematics sections Member of the SIAM Activity Group on Algebraic Geometry Labs and teams include the NUMA group at KU Leuven and the ERC-669891 project at CISPA.

Maximilian Wiesmannمشاهده پروفایل

پژوهشگر ارشد

• Algebraic Geometry
• Computational Geometry
• Combinatorics
• +۴ مورد دیگر

Maximilian Wiesmann is a mathematician working as an ELBE Postdoctoral Fellow at the Center for Systems Biology Dresden, Germany. Previously, he completed his PhD at the Max-Planck-Institute for Mathematics in the Sciences in Leipzig under the supervision of Eliana Duarte and Bernd Sturmfels. Mentored by Aida Maraj and Ivo Sbalzarini at CSBD, his work bridges pure mathematics with applications in computational biology and quantum information. His educational background includes: PhD in Mathematics, Max-Planck-Institute for Mathematics in the Sciences, Leipzig (2025) MASt in Pure Mathematics, University of Cambridge (2022) B.Sc. in Mathematics, University of Bonn (2021) Wiesmann's research focuses on the intersection of algebraic geometry and computational mathematics, particularly in nonlinear algebra applications. His work spans theoretical investigations in toric geometry and combinatorics to practical implementations in quantum information and machine learning. He has developed significant software tools including the EulerStratifications.jl Julia package, which accompanies his research on hypersurface families. His publications demonstrate a consistent trajectory from foundational mathematical structures to their applications in statistical modeling and computational science. Analysis of his 11 most recent publications reveals a strong focus on algebraic statistics and geometric approaches to statistical problems, with increasing attention to machine learning applications. His work connects pure mathematical structures with practical computational frameworks, particularly through the lens of nonlinear algebra. The development of specialized software like EulerStratifications.jl demonstrates his commitment to making theoretical advances accessible for practical computation. Wiesmann has served as a tutor in linear algebra and foundational mathematics at the University of Bonn during winter terms 2019/20 and 2020/21. He also completed a Quantum Science Summer Internship at Riverlane in Cambridge, UK in 2021, and was a visiting student at the Institute for Mathematical and Statistical Innovation at the University of Chicago in September and October 2023. At CSBD, Wiesmann is part of a vibrant research environment focused on systems biology, where he applies his expertise in algebraic geometry to biological modeling problems. His work with the Nonlinear Algebra Community on Zenodo demonstrates his commitment to open science and community building in his field.

Georg Lohoمشاهده پروفایل

استاد

• Discrete Geometry
• Topological Combinatorics
• Optimization
• +۴ مورد دیگر

Georg Loho is a Professor at Freie Universität Berlin (FU Berlin), acting head of the Discrete Geometry and Topological Combinatorics Group. Previously, he held an assistant professorship at the University of Twente (on leave since 2023). He specializes in discrete geometry, optimization, and algebraic combinatorics, with notable contributions to tropical geometry and machine learning. His research integrates geometric and combinatorial methods with applications in optimization and data science. Education: PhD in Mathematics (2017) from TU Berlin Diploma in Mathematics (2012) from Universität Würzburg Research Interests: Focuses on tropical geometry, discrete optimization, and their applications in machine learning. Explores geometric structures like oriented matroids, polytopes, and their connections to neural networks and algorithm design. Advocates for sustainability in research and education. Teaching: Leads courses on discrete geometry, mathematics & sustainability, and optimization. Active in educational innovation, including free open-source course materials and the MatchTheNet educational game on polytopes. Grants & Collaborations: Participated in the HIM Trimester Program (Bonn, 2021), substitute professorships (Kassel, 2020–2021), and multiple ERC-funded projects. Collaborates with institutions like the London School of Economics (LSE) and EPFL. Labs/Teams: Coordinates the Discrete Geometry and Topological Combinatorics research group at FU Berlin, fostering interdisciplinary projects in geometry, combinatorics, and optimization.

Günter M. Zieglerمشاهده پروفایل

استاد

• Discrete Geometry
• Algebraic Topology
• Combinatorics
• +۳ مورد دیگر

Günter M. Ziegler is the President of Freie Universität Berlin since 2018, leading strategic initiatives like the Berlin University Alliance. A renowned mathematician, he holds a professorship in Discrete Geometry and Topological Combinatorics, focusing on polyhedra theory and algebraic topology. His academic journey includes a PhD from MIT (1987), habilitation at TU Berlin (1992), and professorships at TU Berlin (1995–2011) and Freie Universität Berlin since 2011. He is a member of the Berlin-Brandenburg Academy of Sciences, Leopoldina, and acatech, and a Fellow of the American Mathematical Society. Research interests include discrete geometry, optimization, and combinatorial problems. Notable awards: Leibniz Prize (2001), Communicator Prize (2008), Berlin Science Prize (2017). He authored influential works like Proofs from THE BOOK and Panorama of Mathematics , promoting mathematics through public engagement, including the Year of Mathematics (2008) and initiatives like the MIP.labor. Leadership roles include DMV presidency (2006–2008) and Berlin Mathematical School leadership. His advocacy spans science communication, diversity in STEM, and academic governance. Professional networks include DFG Senate (2014–2018) and German U15 leadership (2020–2022).

Ehrhard Behrendsمشاهده پروفایل

استاد

• Functional Analysis
• Probability Theory
• Stochastic Processes
• +۴ مورد دیگر

Prof. Ehrhard Behrends is a Professor of Mathematics at the Department of Mathematics and Computer Science, Freie Universität Berlin. His research focuses on functional analysis, probability theory, and stochastic processes. He is also deeply involved in mathematical education and public outreach, having authored numerous popular mathematics books and articles. Key roles include leading the European Mathematical Society's Raising Public Awareness committee (2009–2015) and developing the mathematics portal mathematics-in-europe.eu . Behrends has organized major exhibitions like 'Mathematics for all the Senses' and contributed to initiatives such as the Year of Mathematics 2008. His work bridges advanced research with accessible communication, reflected in his books on Markov chains, analysis textbooks, and the Five Minutes of Mathematics column.

Wilderich Tuschmannمشاهده پروفایل

استاد

• Differential Geometry
• Riemannian Metrics
• Moduli Spaces
• +۴ مورد دیگر

Prof. Dr. Wilderich Tuschmann is a full professor at the Institute for Algebra and Geometry within the Faculty of Mathematics at the Karlsruher Institut für Technologie (KIT) . He leads the Differential Geometry Research Group and actively contributes to geometric analysis, moduli spaces of Riemannian metrics, and applications of geometry to data science and medical technology. Research Focus: Differential geometry, geometric topology, curvature analysis, and interdisciplinary applications in medical shape sensing and epidemic modeling. Key Collaborations: DFG Research Training Group 2229, HeKKSaGOn strategic partnerships, China Institute for Anthropomatics and Robotics. Recent Publications (2025-2024): Explored cohomology-based similarity metrics, moduli spaces with curvature bounds, geometric machine learning frameworks, and non-negatively curved metrics on manifolds. Conferences: Organized workshops in Oberwolfach, Kyoto/Sendai, Karlsruhe, and Sanya, focusing on metric geometry and data science intersections. Teaching: Delivers advanced mathematics lectures and differential geometry seminars at KIT.

Christian Wienersمشاهده پروفایل

استاد

• Scientific Computing
• Numerical Analysis
• Finite Element Methods
• +۶ مورد دیگر

Prof. Dr. Christian Wieners is a faculty member at the Institute for Applied and Numerical Mathematics , part of the Faculty of Mathematics at Karlsruhe Institute of Technology (KIT) . He has held leadership roles, including Head of the KIT Department of Mathematics (2012-2015) and Speaker of the GAMM activity group on numerical methods for PDEs (2010-2017). Academic Rank: Professor Research Focus: Scientific Computing, Discontinuous Galerkin Methods, Multigrid Algorithms, and Applications in Solid Mechanics and Cardiac Modeling His research spans Numerical Analysis , Computational Mechanics , and Biomedical Engineering , with a focus on parallel finite element methods for wave equations, phase-field fracture, and multi-physics cardiac simulations. Recent work includes adaptive space-time DG methods, visco-acoustic inversion, and digital twins for heart modeling. He has served as an Associated Editor for SIAM Journal of Scientific Computing (2008-2013) and a Section Editor for Numerical Analysis in ZAMM. His publications highlight collaborations in Parallel Computing , Visco-Elastic Models , and Nonlocal Plasticity . Prof. Wieners teaches courses like Numerische Mathematik and Grundlagen der Kontinuumsmechanik , with a history of lectures on Scientific Computing , Machine Learning in Mathematics , and Multigrid Methods . His work integrates Mathematical Rigor with Engineering Applications .

• Probabilistic Machine Learning
• Industrial Applications of Data Science
• Data-Based Modeling
• +۳ مورد دیگر

Professor Markus Lange-Hegermann is a faculty member at the OWL University of Applied Sciences (TH OWL), holding a chair in Mathematics and Data Science since 2018. He serves as a board member of the Institute for Industrial Information Technology (inIT) and is affiliated with the research group "Mathematik und Datenwissenschaften". His academic focus bridges probabilistic machine learning with industrial applications, emphasizing data-driven modeling and optimization under uncertainties. Education: PhD in Algorithmic Differential Algebra (RWTH Aachen, 2014) Diploma in Computer Mathematics (RWTH Aachen, 2008) Research interests include probabilistic machine learning, optimization under uncertainties, and the integration of prior physical knowledge via differential equations into industrial data science workflows. His work often addresses time-dependent processes in industrial contexts, combining algebraic methods with modern machine learning techniques. Scientific contributions are recognized through awards such as the TH OWL Research Prize (2024) and multiple conference reviewer accolades. He actively participates in academic governance, including roles in professorship search committees and examination boards. Theses supervision: Matthias Bitzer (PhD examiner at TU Berlin, 2024) Organizational leadership: Founding member of AICOmmunityOWL and Informatics Europe's working group on Data Analysis

• Probability Theory
• Mathematical Finance
• Stochastic Analysis
• +۴ مورد دیگر

Peter K. Friz is Einstein Professor in Mathematics at Technische Universität Berlin (TU-Berlin), where he leads research in the Probability Theory and Mathematical Finance group. He is also affiliated with the Weierstrass Institute for Applied Analysis and Stochastics (WIAS), a major research institute in Berlin focused on applied mathematics. Professor Friz's research spans several interconnected areas of mathematics and finance: Stochastic analysis and rough path theory Quantitative finance and volatility modeling Partial differential equations driven by rough paths Applications of rough path theory to financial mathematics His recent publications demonstrate a continued focus on advancing rough path theory and its applications. The research trends show increasing sophistication in handling nonlinear rough differential equations, connections to machine learning through signature methods, and deeper applications to financial modeling, particularly in volatility analysis. His work bridges pure mathematical theory with practical financial applications, maintaining relevance to industry problems while advancing theoretical foundations. Professor Friz has received significant recognition for his work: ERC Starting Grant "Rough path theory, differential equations and stochastic analysis" (2010-2016) ERC Consolidator Grant "Geometric aspects in pathwise stochastic analysis and related topics" (2016-2021) Einstein Professorship at TU-Berlin He actively mentors students and researchers, with a list of former PhD students available through his academic profile. Professor Friz coordinates the DFG research unit "Rough paths, stochastic partial differential equations and related topics" (2016-2019) and has secured substantial funding from the European Research Council, DFG, and other sources. His research group regularly hosts seminars and collaborates with institutions worldwide, including recent invited courses at Cambridge, Paris (IHP), and Bonn (HIM). Professor Friz maintains active research collaborations through his position at TU-Berlin and affiliation with WIAS, contributing to Berlin's status as a hub for mathematical finance and stochastic analysis in Europe.

• Modeling and Verification of Reactive Systems
• Quantitative Analysis of Stochastic Systems
• Probabilistic Model Checking
• +۸ مورد دیگر

Christel Baier is a full Professor and head of the Chair for Algebraic and Logic Foundations of Computer Science at the Faculty of Computer Science, Technische Universität Dresden, a position she has held since 2006. She previously served as an associate professor for Theoretical Computer Science at the University of Bonn from 1999 to 2006. She is currently the dean of the Faculty of Computer Science at TU Dresden (2025–2027), having been vice-dean from 2019 to 2024. She holds a Diploma in Mathematics (1990), a Ph.D. in Computer Science (1994), and a Habilitation (1999), all from the University of Mannheim. In 2022, she was awarded an honorary doctorate from RWTH Aachen. Her research centers on formal methods in computer science, with a strong emphasis on modeling, specification, and verification of reactive and stochastic systems. She is a leading expert in probabilistic model checking, temporal and modal logics, automata over infinite structures, game theory, and the verification of infinite-state systems. Her work bridges theoretical foundations with practical applications in system reliability and correctness. The recent publications and edited volumes reflect a consistent focus on formal verification, logic in computer science, and tools for system analysis. Her editorial leadership in major venues such as LICS, TACAS, and FoSSaCS underscores her influence in shaping the research agenda in theoretical computer science and formal methods. Jean-Claude Laprie Award in Dependable Computing (2023) Honorary doctorate from RWTH Aachen (2022) Member of Academia Europaea (since 2011) Editor-in-Chief of Acta Informatica (2015–2022) Steering Committee Member of LICS, FoSSaCS, FORTE, and FSEN Extensive service on program committees of top-tier conferences including CAV, CONCUR, and ICALP Christel Baier has advised numerous PhD and master’s students (though not explicitly listed), and has led major research projects funded by DFG, EU, and DAAD. She has organized pivotal events such as CONCUR'06, TACAS'15, and LICS'22. She is actively involved in academic governance, serving on the senate of TU Dresden (2015–2020), as ombudsperson for the Department of Computer Science, and on the Scientific Advisory Board of Schloss Dagstuhl. Her leadership in the German Excellence Initiative and DFG Research Training Groups highlights her role in shaping national research agendas.

• Verification
• Probabilistic Models
• Infinite-State Systems
• +۲ مورد دیگر

Mahsa Shirmohammadi is a CNRS researcher at Institut de Recherche en Informatique Fondamentale (IRIF) , Université de Paris. Her research focuses on verification, probabilistic models, infinite-state systems, automata theory, and numerical computation. Education : PhD from LSV, ENS de Cachan (France) and ULB (Belgium). Previous Affiliation : Postdoctoral researcher at University of Oxford (UK). Her work addresses stochastic games , timed automata , matrix groups , and algebraic computation . Recent publications analyze strategy complexity, synchronization in decision processes, and parametric algebraic problems. Key collaborators include Stefan Kiefer, Richard Mayr, James Worrell, and Patrick Totzke. Her research has been published in venues like ACM SIGLOG News, ICALP, LICS, and ISSAC. Contact: mahsa@irif.fr , +33 (0)1 57 27 92 29, Office 4017 (Sophie Germain building, Paris).

• Logic in computer science
• linear dynamical systems
• automated verification
• +۳ مورد دیگر

James Worrell is a Professor of Computer Science at the University of Oxford , with a focus on logic in computer science , linear dynamical systems , and automated verification . He is also a Fellow of Green Templeton College. His research spans theoretical computer science and formal methods , including work on metric temporal logic , probabilistic semantics , and category theory . His publications address decision problems , verification of linear dynamical systems , and automata theory . James has received the EPSRC Established-Career Fellowship for his work in linear dynamical systems verification . His recent papers include polynomial invariants , polyhedral escape problems , and skolem problem solutions . He has advised students such as Mehran Hosseini , Pascale Gourdeau , and Ventsislav Chonev , and teaches courses like Computational Learning Theory and Logic and Proof . His work appears in venues like ICALP , LICS , and SODA .