جستجوی استاد راهنمای دانشگاهی

Frank Vallentinمشاهده پروفایل

استاد

• Optimization
• Semidefinite Programming
• Discrete Geometry
• +۸ مورد دیگر

Frank Vallentin is a full professor of applied mathematics (computer science) at the Mathematical Institute of the University of Cologne, Germany. He has held academic positions at Technische Universiteit Delft, Centrum Wiskunde & Informatica (CWI), and the Hebrew University of Jerusalem. His research spans optimization, discrete geometry, harmonic analysis, and computational mathematics. Research Interests: His primary mathematical interests include semidefinite programming, combinatorial optimization, harmonic analysis, discrete geometry, combinatorics, geometry of numbers, special functions, computational complexity, and coding and information theory. These areas reflect a deep integration of theoretical mathematics with algorithmic and computational techniques. The 15 most recent publications reveal a strong focus on geometric optimization, lattice problems, energy minimization, and semidefinite programming bounds. Key themes include chromatic numbers of lattices, symplectic capacities, polarization phenomena, and algorithmic solutions to geometric problems. His work often involves recursive SDP hierarchies, extremal configurations, and computational verification of theoretical bounds. Scientific Awards and Grants: SIAG/Optimization Prize (2011, with Christine Bachoc) NWO VIDI Grant (2010–2015): Semidefinite programming and harmonic analysis DFG Project: Symplectic capacities of polytopes (2017–) EU Horizon 2020 MINOA Project: Optimization with limited quantum resources (2017–) DFG Project: Spectral bounds in extremal discrete geometry (2019–) Advising and Grants: Vallentin has advised numerous PhD and master’s students at TU Delft and the University of Cologne, covering topics in discrete geometry, optimization, coding theory, and quantum information. He has secured major research funding from NWO, DFG, and the EU, supporting interdisciplinary projects in algorithmic optimization and mathematical physics. He is actively involved in organizing workshops and summer schools. Labs and Teams: He leads a research group at the University of Cologne focusing on optimization and discrete geometry, with strong collaborations with CWI Amsterdam, TU Delft, and international institutes. His team works on theoretical and computational aspects of geometric optimization, often using symmetry reduction and harmonic analysis.

• Applied Algebra
• Data Analysis
• Algebraic Data Science
• +۲ مورد دیگر

Léo Mathis is a researcher at the Institute of Mathematics, University of Osnabrück, affiliated with the Department of Mathematics/Computer Science/Physics. He is a member of the Applied Algebra and Data Analysis Group, where his work focuses on algebraic and computational approaches to data science and discrete structures. His research interests include Applied Algebra, Data Analysis, Algebraic Data Science, Discrete Mathematics, and Computational Mathematics. These areas are closely aligned with modern applications of algebra in machine learning, data modeling, and algorithmic design. No recent publications or scientific awards are listed in the available information. There is no mention of student supervision or external research grants. Léo Mathis is actively involved in the research activities of the Institute and participates in the academic and collaborative environment of the Applied Algebra and Data Analysis Group.

Marie Brandenburgمشاهده پروفایل

استاد

• Combinatorics
• Discrete Geometry
• Tropical Geometry
• +۶ مورد دیگر

Jun.-Prof. Dr. Marie Brandenburg is a Junior Professor for Combinatorics at Ruhr-Universität Bochum's Faculty of Mathematics, leading the Research Team Stump within the Algebra division. Her work focuses on polyhedral geometry and its applications in machine learning, optimization, economics, and game theory. She holds an office at IB 2/155 in the Department of Mathematics. Research Interests : Combinatorics & Discrete Geometry, Tropical/Algebraic Geometry, Polyhedral Geometry, Machine Learning applications, Optimization, Game Theory, and Economic Modeling. Her interdisciplinary approach bridges abstract geometry with practical fields like AI and market design. Teaching : Recently taught a seminar on Discrete Geometry (Summer 2025). Supervises graduate students in algebraic combinatorics and related areas. Labs/Teams : Member of the Research Team Stump, part of Ruhr University's Algebra group. Collaborates with the Floer Center of Geometry and the HDM@RUB student laboratory.

Michael Walterمشاهده پروفایل

استاد

• Quantum Information
• Algebra
• Quantum Computing
• +۳ مورد دیگر

Prof. Dr. Michael Walter is a Professor of Quantum Information at the Faculty of Computer Science, Ruhr University Bochum (RUB). He holds the Chair of Quantum Information and is affiliated with the Cluster of Excellence 'Cyber Security in the Age of Large-Scale Adversaries' (CASA) and the Horst Görtz Institute. His research bridges algebra, quantum computing, and theoretical computer science, focusing on symmetries and optimization for fast algorithms. Education: Diploma in Mathematics (2010), Universities of Karlsruhe and Göttingen PhD in Mathematics, Swiss Federal Institute of Technology (ETH) Zurich (2014) Professional Journey: Postdoctoral Researcher, Stanford University (2014–2017) Assistant Professor, University of Amsterdam (2017–2021) Current Position: Chair of Quantum Information at RUB since 2022 His ERC Starting Grant (2022) explores unexpected symmetries across seemingly disparate research problems, aiming to develop novel algorithms for quantum computing. Awards include the prestigious ERC Starting Grant. Research Themes: Leveraging algebraic structures to address challenges in quantum information theory and optimization, with applications to cybersecurity and algorithmic efficiency.

Torbjørn Cunisمشاهده پروفایل

استادیار

• Nonlinear Systems Theory
• Mathematical Optimization
• Optimization-Based Control
• +۳ مورد دیگر

Torbjørn Cunis is a Temporary Academic Councillor / Group Leader at the Institute of Flight Mechanics and Flight Control of the University of Stuttgart. He concurrently serves as an Adjunct Assistant Research Scientist at the University of Michigan and is a member of the Young ZiF at Bielefeld University's Center for Interdisciplinary Research. His expertise lies in nonlinear systems theory, mathematical optimization, and aerospace engineering applications. Education : B.Sc. Computer Science (2013) & Aerospace Computer Engineering (2014), University of Würzburg M.Sc. Automation Engineering (2016), RWTH Aachen University Ph.D. in Systems & Control (2019), ISAE-Supaéro, Toulouse Research Interests focus on optimization-based control strategies, nonlinear system analysis, and their application to aerospace systems. Key areas include upset recovery in aircraft, model-predictive control, and sum-of-squares optimization techniques. His work bridges theoretical systems theory with practical implementations in unmanned aerial systems and flight dynamics. Teaching includes courses on multi-variable control, nonlinear optimization, and systems-theoretical methods for flight control. Professional Affiliations include AIAA, IEEE, and VDI. Research Contributions span over 50 publications, with recent trends emphasizing real-time control algorithms, stability analysis of optimization methods, and cooperative target allocation in aerospace systems. His work often integrates multidisciplinary approaches to solve complex control challenges in aviation and robotics. Lab Affiliations include the Vehicle Optimization Lab (University of Michigan), Automation & Control Group (Aalborg University), and Micro Air Vehicle Lab (Delft University of Technology).

Davide Cesare Venianiمشاهده پروفایل

دانشگاهی

• Algebraic Geometry
• K3 Surfaces
• Enriques Surfaces
• +۳ مورد دیگر

Davide Cesare Veniani is a Postdoctoral Assistant at the University of Stuttgart, affiliated with the Institute of Discrete Structures and Symbolic Computing and the Chair of Differential Geometry. He holds a Privatdozent (Priv.-Doz.) title and completed his habilitation in Mathematics at Stuttgart in 2021. His research focuses on algebraic geometry, particularly K3 surfaces, Enriques surfaces, and their symmetries, enumerative problems, and connections to number theory. Education: PhD in Mathematics (2016), Leibniz Universität Hannover, under Prof. Matthias Schütt Postdoctoral positions at Johannes Gutenberg-Universität Mainz (2016–2019) and Universität Stuttgart (2019–present) His research interests include the geometry of algebraic surfaces, their moduli spaces, automorphisms, and applications to arithmetic geometry. He has organized events such as the 2023 FrAGe conference and contributed to international summer schools on arithmetic geometry. Teaching includes courses on mathematics for economics, advanced geometry topics, and seminars on group theory and algorithmic applications. His publications span high-impact journals, exploring subjects like elliptic fibrations, symplectic rigidity of hyperkähler manifolds, and Hensel lifting algorithms for quadratic forms.

Lars Kastnerمشاهده پروفایل

پژوهشگر

• Combinatorics
• Algebraic Geometry
• Commutative Algebra
• +۵ مورد دیگر

Lars Kastner is a postdoctoral researcher at the Institute of Mathematics of the Technical University Berlin , affiliated with the discrete geometry group led by Michael Joswig. His work focuses on computational mathematics and mathematical software development. Key research areas include: Interdisciplinary applications of Combinatorics , Algebraic Geometry , and Commutative Algebra Development of mathematical software like mptopcom , OSCAR , and extensions for polymake Advancing FAIR data principles in computational mathematics Notable software contributions: mptopcom : Parallel triangulation computation framework cellularSheaves : For tropical homology polymake : Polyhedral geometry software Macaulay2 : Maintainer of Polyhedra package Scientific awards : Fields Postdoctoral Fellowship His publications demonstrate expertise in: Toric and tropical geometry Triangulation algorithms Homological algebra Hyperplane arrangements Mathematical software engineering

Fabian Lenzenمشاهده پروفایل

پژوهشگر

• Algebraic Topology
• Computational Geometry
• Topological Data Analysis
• +۳ مورد دیگر

Fabian Lenzen is a postdoctoral researcher at Technische Universität Berlin in the Discrete Mathematics/Geometry group under Prof. Michael Joswig. Previously, he completed his PhD under Prof. Ulrich Bauer at TU Munich. His work bridges theoretical mathematics and computational applications. Research Focus: Algebraic topology, computational geometry, and their applications in data analysis Key Concepts: Topological data analysis, persistent homology, combinatorics, mathematical software development His publications explore: Algebraic shifting techniques (2025, 2024) Two-parameter persistence algorithms (2023, 2024) Clifford-symmetric polynomials (2023) Categorical structures in representation theory (2021) Software contributions include 2pac for two-parameter persistent cohomology and a TU Berlin Beamer theme aligning with university design standards. He actively develops LaTeX packages and visualization tools for mathematical education.

• Computational Biology
• Systems Biology
• Computer Science
• +۳ مورد دیگر

Andreas Wagner is a researcher affiliated with Helmholtz-Zentrum Dresden-Rossendorf , with a focus on interdisciplinary research spanning computational biology, systems biology, computer science, and materials science. His work explores genotype-phenotype mappings, evolutionary innovation, and robustness in biological systems, while also contributing to machine learning, numerical methods, and positron annihilation spectroscopy in physics. Wagner collaborates internationally, with co-authors from institutions in Germany, Austria, Finland, and beyond. Research Interests : Wagner's research bridges computational biology and systems biology, analyzing evolutionary processes through genotype networks, metabolic innovation, and gene regulatory circuits. He applies machine learning techniques to energy systems, such as solar power forecasting in federated learning frameworks. His physics work involves positron annihilation spectroscopy for material defect analysis, particularly in alloys and thin films. Publications & Data Science : He has published extensively on topics like robust numerical algorithms, adaptive cruise control optimization, and data-driven approaches for systematic reviews. His recent work includes matrix-free preconditioning methods and physics-regularized multi-modal image assimilation for medical imaging. Wagner contributes to open data initiatives, including datasets on radiation damage and material porosity via RODARE.

• Linear Algebra
• Matrix Theory
• Graph Theory
• +۳ مورد دیگر

Louis A. Deaett is a Professor of Mathematics at the College of Arts & Sciences, Quinnipiac University. He holds a Ph.D. in Mathematics from the University of Wisconsin-Madison (2009) and previously served as a postdoctoral fellow at the University of Victoria. Education: BS, University of Rochester BA, University of Rochester PhD, University of Wisconsin-Madison Deaett's research focuses on the intersection of Linear Algebra , Graph Theory , and Discrete Mathematics , particularly in understanding matrix patterns and their sparsity structures. His work addresses computational and theoretical challenges in minimum rank problems. Recent publications highlight his contributions to matroid theory , spectrally arbitrary patterns , and graph-based matrix computations , reflecting interdisciplinary trends in mathematics and computer science.

Peter Nejjarمشاهده پروفایل

استادیار

• Probability Theory
• Stochastic Processes
• Mathematical Physics
• +۳ مورد دیگر

Peter Nejjar is a Tenure-Track Juniorprofessor for Probability Theory at the University of Potsdam since January 2023. His research addresses fundamental questions of universality in stochastic systems , investigating why identical probability distributions emerge across disparate contexts like random matrices and growth models, with connections to combinatorics, mathematical physics, and numerical analysis. His primary research domains include stochastic particle systems (TASEP/ASEP), KPZ universality class phenomena, and Markov chain mixing behavior —particularly the cutoff phenomenon. Nejjar's work reveals deep structural parallels between shock fluctuations in interacting particle systems and random matrix eigenvalue distributions, leveraging connections to algebraic combinatorics through Schur processes. Recent publications demonstrate evolving focus from shock fluctuation theory (2015-2018) toward dynamical phase transitions in KPZ systems (2020-2022) and emerging interdisciplinary applications like DNA-based molecular tagging (2025). His collaborative network prominently features Patrik Ferrari across 7 publications, reflecting sustained focus on universality in exclusion processes.

• Quantum Algorithms
• Device-Independent Quantum Information Processing
• Tensor Networks
• +۷ مورد دیگر

Jordi Tura i Brugués is an Associate Professor at the Leiden Institute of Physics (LION) and a Principal Investigator in the Applied Quantum Algorithms group. He holds a double degree in mathematics and telecommunications engineering from the Polytechnic University of Catalonia and a Master's in Applied Mathematics (Algebra and Geometry). Prior to joining Leiden, he completed his Ph.D. at ICFO - The Institute of Photonic Sciences under Prof. Maciej Lewenstein and Dr. Remigiusz Augusiak, followed by postdoctoral work at the Max Planck Institute of Quantum Optics under Prof. Ignacio Cirac. Research Focus : Quantum algorithms, device-independent quantum information, tensor networks, quantum machine learning, entanglement theory, and convex optimization. Funding : Supported by an ERC Starting Grant and former fellowships including Marie Curie, Alexander von Humboldt, and CELLEX-ICFO-MPQ. Collaborations : Active in international conferences (QIP, QCrypt) and collaborations visualized via his network graph. Scientific Awards : ERC Starting Grant CELLEX-ICFO-MPQ Fellowship Marie Curie Individual Fellowship Alexander von Humboldt Postdoctoral Fellowship Other Interests : Programming competitions, football (supporting FC Barcelona), and violin performance with orchestras like Bruckner Akademie Orchester.

• Combinatorial Optimization
• Quadratic Programming
• Binary Optimization
• +۵ مورد دیگر

Cédric Elloumi is a Professor at the CEDRIC Laboratory within Conservatoire National des Arts et Métiers (CNAM), specializing in combinatorial optimization and mathematical programming. With a continuous publication record since 1992, he has established himself as a leading researcher in quadratic programming, binary optimization, and facility location problems. His research interests focus on developing exact and approximate methods for discrete optimization problems, particularly through convex reformulation techniques. Elloumi has made significant contributions to the p-center and p-median problems, quadratic assignment problems, and more recently, quantum-inspired optimization methods. His work bridges theoretical advancements with practical applications in network design, energy systems, and telecommunications. Analysis of his recent publications (2022-2025) reveals a continued focus on facility location problems, with increasing attention to robust optimization under uncertainty and emerging applications in quantum computing. His research demonstrates consistent methodological innovation, particularly in reformulation techniques that transform difficult non-convex problems into tractable forms. Throughout his career, Elloumi has maintained extensive collaborations with researchers including Billionnet, Lambert, Alès, and Plateau, resulting in numerous publications in top-tier optimization journals such as Journal of Global Optimization, Computers and Operations Research, and Mathematical Programming.

Zafeirakis Zafeirakopoulosمشاهده پروفایل

پژوهشگر

• Symbolic Computation
• Discrete Mathematics
• Combinatorics
• +۴ مورد دیگر

Zafeirakis Zafeirakopoulos is a researcher at the National and Kapodistrian University of Athens (Greece) in the ELIDEK project led by Prof. Maria Chlouveraki. His academic career includes roles as an assistant professor at Gebze Technical University (2016-2022) and postdoctoral research at University of Athens (Greece), Galatasaray University (Turkey), and University of Geneva (Switzerland) under the Eccellenza project of Prof. Jehanne Dousse. PhD in RISC - Research Institute for Symbolic Computation (supervised by Prof. Peter Paule and Prof. Matthias Beck) Current affiliations: Mathematics department of National and Kapodistrian University of Athens Service roles: Information Director of ACM SIGSAM, Associate Editor of ACM CCA His research focuses on symbolic computation, discrete mathematics, and computational geometry. He has developed algorithms for parametric curve topology (PTOPO) and linear Diophantine systems (Polyhedral Omega), emphasizing efficiency and geometric interpretations. Recent work involves Julia/Maple implementations for practical applications. Publication trends highlight interdisciplinary work in symbolic algorithms, polyhedral geometry, and combinatorial optimization. He actively contributes to international conferences like ACA 2025 (co-organizer) and SCALE 2022.

Michael Margaliotمشاهده پروفایل

استاد

• Dynamical Systems
• Control Theory
• Systems Biology
• +۳ مورد دیگر

Michael Margaliot is a Professor of Electrical Engineering and incumbent of the Systems and Control Chair at Tel Aviv University's School of Electrical and Computer Engineering. His research focuses on dynamical systems, control theory, and systems biology, with specialized interests in stability analysis of switched systems, Boolean networks, compound matrix applications, and ribosome flow modeling. His work bridges theoretical control concepts with biological applications, particularly in mRNA translation dynamics. Recent publications demonstrate consistent focus on: Extensions of contraction theory (k-contraction) Cooperative dynamical systems Matrix compound methodologies Ribosome flow modeling Networked control systems He maintains active collaborations with researchers globally and will teach a specialized course on The Ribosome Flow Model in 2025.