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Antonia Wachter-ZehView profile

Associate Professor

• Coding Theory
• Post-Quantum Cryptography
• Information Theory
• +5 more

Antonia Wachter-Zeh is an Associate Professor at the Technical University of Munich (TUM) in the School of Computation, Information and Technology. She heads the Coding and Cryptography (COD) group and holds an ERC Starting Grant and the DFG Heinz Maier-Leibnitz Prize. Her research focuses on coding theory, post-quantum cryptography, and their applications in storage, communication, and machine learning. Education: M.Sc. in Electrical Engineering/Communications Engineering, Ulm University (2009) PhD in Electrical Engineering (2013), jointly from Ulm University and Université de Rennes 1 Research Interests: Coding Theory: Rank-metric codes, insertion/deletion correcting codes, DNA storage Post-Quantum Cryptography: Code-based and lattice-based schemes Coded Computing: Secure federated learning, privacy-preserving distributed algorithms Recent Publications: Focus on coded distributed computing, DNA-based storage, and cryptographic protocols. Key contributions include FedGT for malicious client detection and LowMS for rank-metric code-based KEMs. Awards: Johann Philipp Reis Award (2023) ERC Starting Grant (2019-2024) DFG Heinz Maier-Leibnitz Prize (2018) Grants & Teams: Leads projects like PQ-Prime (encrypted computing), DiDaX (DNA data storage), and PQ-CROWD (cryptography with skew codes). Collaborates internationally with institutions like ICL and DLR. Labs/Teams: Coding and Cryptography (COD) group at TUM, active in organizing workshops like MWCC and ITW.

• Medical Imaging
• Signal Processing
• Machine Learning
• +3 more

Prof. Matthias Eiber holds the position of Professor in Nuclear Medicine at the TUM School of Medicine and Health, Technical University of Munich. He is distinguished as a Humboldt Professor and Heisenberg Professor, reflecting his esteemed academic standing. His research focuses on sparse representation models, analysis operator learning, and applications in signal processing and machine learning. Key contributions include advancements in dictionary learning theory, sample complexity analysis, and optimization techniques on Riemannian manifolds. Eiber’s work bridges mathematical foundations with practical applications in medical imaging and high-dimensional data analysis. Education and Career: While specific educational details are not provided here, his academic trajectory includes prominent roles such as Humboldt and Heisenberg Professorships, indicating a trajectory of exceptional scholarly achievement. He is affiliated with the Department of Nuclear Medicine, integrating computational methods into medical diagnostic technologies. Research Interests: Eiber’s research emphasizes sparse representation theory, co-sparse analysis operators, and the theoretical underpinnings of dictionary learning. His work explores sample complexity bounds in machine learning, optimization algorithms for structured data, and applications in medical imaging. Recent publications address separable models, operator learning, and geometric optimization methods. Awards: Humboldt Professor Heisenberg Professor Advising & Grants: While specific student names or grant details are not listed here, his research output suggests active involvement in supervising PhD students and securing grants related to computational medicine and signal processing. His collaborations likely span interdisciplinary teams within TUM’s medical and engineering divisions. Labs & Teams: Affiliated with the Nuclear Medicine department’s research groups focused on computational diagnostics and medical imaging algorithm development. His work contributes to TUM’s broader initiatives in precision medicine and data-driven healthcare solutions.

Stefan WeltgeView profile

Professor

• Combinatorial Optimization
• Integer Programming
• Polyhedral Combinatorics
• +3 more

Prof. Dr. Stefan Weltge is a Professor of Discrete Mathematics at the Department of Mathematics, Technical University of Munich (TUM). He holds a PhD in Mathematics from Otto von Guericke University Magdeburg (2016) and was a postdoctoral researcher at ETH Zurich. His research focuses on combinatorial optimization, integer programming, and polyhedral combinatorics, with notable contributions to extension complexity and mixed-integer programming. He has received multiple teaching awards at TUM, including the TUM Supervisory Award (2022) and Best Lecturer recognitions in 2019 and 2021/22. His work has been published in leading journals such as the Journal of the ACM and Journal of Combinatorial Theory B. Prof. Weltge’s academic contributions include groundbreaking research on the complexity of mixed-integer programs, polyhedral representations, and combinatorial optimization problems. He has organized conferences like OR 2024 and the Cargese Workshops on Combinatorial Optimization, and serves on program committees for IPCO, MIP, and ISCO. His research is supported by DFG grants, including the Individual Grant (NextGen) and the AdONE PhD Program. He advises PhD students working on topics such as integer programming, algorithm design, and optimization theory. His publications span theoretical advancements in convex optimization, linear programming relaxations, and applications in logistics and operations research. Notable articles include work on bounded subdeterminants in integer programs and the complexity of stable set problems. His research bridges discrete mathematics with practical algorithmic solutions, influencing both theoretical and applied domains.

Christian B. MendlView profile

Assistant Professor

• Quantum Computing
• Tensor Network Methods
• Computational Physics
• +3 more

Christian B. Mendl is an Assistant Professor (Rudolf Mößbauer Tenure Track) at Technische Universität München's Department of Computer Science. His research focuses on quantum computing, tensor network methods, computational physics/chemistry, high-performance computing, and theoretical condensed matter physics. He holds a PhD in Physics from LMU München and dual diplomas in Physics and Mathematics from TU München, with postdoctoral experience at Stanford University and TU Dresden. His work bridges quantum algorithms, numerical methods, and interdisciplinary applications. Notable contributions include Riemannian quantum circuit optimization, tensor network simulations, and quantum-classical computing frameworks. He collaborates with institutions globally and actively develops open-source tools like PyTreeNet for tensor networks. Recent research emphasizes scalable quantum algorithms, optimization techniques, and hybrid quantum-classical systems. His work addresses challenges in quantum computing, many-body systems, and high-performance simulation frameworks.

Lorenz PannyView profile

Professor

• Cryptography
• Cryptology
• Number Theory
• +3 more

Prof. Dr. Lorenz Panny is a Professor at the Department of Mathematics (M11) within the TUM School of Computation, Information and Technology (CIT) at Technische Universität München. His research focuses on cryptography, cryptology, and related areas such as number theory and algebraic geometry. He currently teaches courses including Cryptography and Cryptanalysis, and leads a study group on isogenies in cryptography. His office is located in MI 02.12.035, and he supervises PhD students Alessandro Sferlazza and Ryan Rueger. His academic activities include organizing workshops and seminars, such as the 'Workshop: Elementary number-theoretic algorithms,' and contributing to advanced topics in cryptography. Professional interests span cryptographic algorithm design, isogeny-based cryptography, and applications of algebraic structures in security protocols. Prof. Panny's affiliations include the Department of Mathematics at TUM, where he holds a full professorship. His research integrates theoretical foundations with practical cryptographic implementations, reflecting his interdisciplinary approach within computational mathematics.

• Algebra
• Number Theory
• Algebraic Geometry
• +5 more

Prof. Dr. Marc Nieper-Wißkirchen is a University Professor of Algebra and Number Theory at the University of Augsburg's Institute of Mathematics, part of the Faculty of Mathematics, Natural Sciences and Technology. Since December 2008, he has held this W3 professorship, and since October 2021, he serves as Vice Dean of the Mathematisch-Naturwissenschaftlich-Technische Fakultät (MNTF). His academic career includes a Junior Professorship at Johannes Gutenberg University Mainz (2004–2008) and postdoctoral research at the University of Cambridge and the Max Planck Institute for Mathematics in Bonn. His research focuses on algebraic geometry, hyperkähler manifolds, Rozansky-Witten invariants, cohomology theories, and Hilbert schemes. Notable contributions include work on characteristic classes, periods for algebraic connections, and topological computations in differential equations. He has authored textbooks on algebra and contributed to advancing mathematical education through online resources. Publications highlight interdisciplinary connections between algebraic geometry and differential equations, with a focus on Stokes phenomena, moduli spaces, and Hodge structures. Despite no explicit awards listed, his prolific publication record and academic roles reflect significant scholarly impact. He advises students on thesis topics in algebra and number theory and maintains active involvement in teaching and institutional leadership.

Frank HimstedtView profile

Senior Lecturer

• Representation Theory of Finite Groups
• Group Theory
• Algebraic Groups
• +3 more

PD Dr. Frank Himstedt is a Senior Lecturer at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology (CIT) and the Department of Mathematics (M11). His research focuses on representation theory of finite groups, with a strong emphasis on character tables, decomposition numbers, and invariant conjectures in groups like Chevalley groups, Ree groups, and triality groups. He has published extensively in journals such as Journal of Algebra and LMS Journal of Computational Mathematics . His teaching spans over two decades, including courses on representation theory, algebra, linear algebra, and mathematics for specific disciplines like business administration and physics. Notable courses include Representation Theory of Finite Groups and Algebraic Number Theory . He has also supervised preparatory courses for mathematics and physics students. Frank Himstedt's research contributions include foundational work on character tables of parabolic subgroups, equivariant bijections, and decomposition numbers in finite groups. His habilitation thesis (2010) and dissertation (2003) further solidify his expertise in these areas.

Eitan YaakobiView profile

Professor

• Information Theory
• Coding Theory
• Non-Volatile Memories
• +3 more

Eitan Yaakobi is a Professor at the Computer Science Department of the Technion – Israel Institute of Technology, with a courtesy appointment in the Electrical and Computer Engineering Department. He holds a B.A. in Computer Science and Mathematics, an M.Sc. in Computer Science from the Technion, and a Ph.D. in Electrical Engineering from UC San Diego. His research focuses on information and coding theory, with applications in non-volatile memories, DNA storage, and distributed storage systems. He has been affiliated with the TUM Institute for Advanced Study (2018–2022) as a Hans Fischer Fellow and held a visiting position at Nanyang Technological University (2023–2024). Education: B.A. in Computer Science and Mathematics, Technion (2005) M.Sc. in Computer Science, Technion (2007) Ph.D. in Electrical Engineering, UC San Diego (2011) Research Interests: Information theory, coding theory, DNA storage, non-volatile memories, distributed storage systems, and private information retrieval. His work emphasizes error-correcting codes for emerging storage technologies like racetrack and DNA memories. Publications: Over 70+ peer-reviewed articles, including seminal work on WOM codes, burst error correction, and DNA storage coding. Recent trends include optimizing coding schemes for DNA synthesis and addressing errors in biomolecular storage systems. Awards: Multiple Technion Excellence Teaching Awards (2016, 2021), Marconi Society Young Scholar Award (2009), and Intel Ph.D. Fellowship (2010–2011). His research has been supported by grants like the ERC Consolidator Grant and EIC Pathfinder Challenge. Advising & Grants: Supervised over 30 graduate students and postdocs. Current lab members include Ph.D. researchers in coding theory and DNA storage. Active collaborations with institutions like UCSD’s Center for Memory and Recording Research. Labs/Teams: Leads a research group at the Technion focusing on coding for next-generation storage systems. Collaborates with interdisciplinary teams on biomolecular data storage and emerging memory technologies.

• Modeling and verification of reactive systems
• Probabilistic model checking
• Stochastic systems analysis
• +7 more

Christel Baier is a full professor and head of the Chair for Algebraic and Logical Foundations of Computer Science at TU Dresden since 2006. She holds a Diploma in Mathematics (1990), PhD (1994), and Habilitation (1999) from the University of Mannheim. Previously, she was an associate professor at the University of Bonn (1999–2006). She serves as Dean of the Faculty of Computer Science at TU Dresden (2025–2027) and has held leadership roles including Vice-Dean (2019–2024). Her research focuses on formal methods, probabilistic systems, and verification, with notable contributions in probabilistic model checking, temporal logics, and automata theory. She has received prestigious awards such as the Honorary Doctorate from RWTH Aachen (2022) and the Jean-Claude Laprie Award (2023). She leads major projects like SEMECO (Zukunftscluster) and contributes to initiatives like the Collaborative Research Center for Tactile Internet. Her editorial roles include editorship of Acta Informatica and ACM SIGLOG News . Baier's work bridges theoretical foundations with practical applications in system dependability and software engineering. She actively participates in international conferences and program committees, emphasizing the synthesis and analysis of component-based systems.

• Homological Algebra
• Abelian Groups
• Module Theory
• +3 more

Prof. Stefan Friedenberg is a mathematics professor at the Department of Mathematics for Engineering at Stralsund University of Applied Sciences, affiliated with the School of Electrical Engineering and Computer Science. His primary research focuses on abelian groups, modules, and homological algebra, particularly the Ext functor's role in structural theorems and connections to logic/set theory. He leads the HoDiMa (University Didactics Mathematics) project and teaches mathematics for engineering disciplines. Research interests include characterizing abelian groups via homological properties (e.g., acd-groups) and exploring the Whitehead problem's implications. His work bridges algebra with foundational mathematics, addressing questions like the existence of non-free Whitehead groups under different set-theoretic assumptions. Contact: Room 332b (House 4), +49 3831 45 7311.

Michael MangoldView profile

Professor

• Chemical Engineering
• Mathematical Modeling
• Process Control
• +3 more

Prof. Dr.-Ing. habil. Michael Mangold is a Professor for Mathematics for Engineers at Technische Hochschule Bingen since 2016. Previously, he held an außerplanmäßige Professor position in Systemdynamik at Otto-von-Guericke-Universität Magdeburg (2011–2016). His research focuses on mathematical modeling, process control, and system dynamics with applications in chemical engineering, fuel cells, and enantioselective crystallization. He completed his Dipl.-Ing. in Technische Kybernetik (1993) and Dr.-Ing. in Nichtlineare Analyse (2000) at Universität Stuttgart, followed by a Habilitation in Rechnergestützte Modellierung (2006) at Otto-von-Guericke-Universität Magdeburg. Key roles include Auslandsbeauftragter for Mechanical Engineering programs and chair of the Prüfungsausschuss for Mechanical and Economic Engineering bachelor programs. He teaches courses on Mathematics, Thermodynamics, and Programming for engineers. Research interests span model reduction, crystallization processes, and fuel cell dynamics. Notable awards include the LEWA-Preis (2002) and best presentation award (2009). His projects involve enantiomer separation via fluidized beds and fault diagnosis in fuel cell systems. Collaborations include work with Prof. Dr. A. Seidel-Morgenstern (Max Planck Institute) on crystallization process optimization.

Alexander WynandsView profile

Professor

• Mathematics Education
• Didactics of Mathematics
• Mathematical Literacy
• +3 more

Prof. Dr. Alexander Wynands is a Professor at the Mathematical Institute of the University of Bonn, Germany. His work focuses on mathematics education, particularly in secondary school curriculum development, PISA assessment frameworks, and interactive mathematics exhibitions. He leads courses on number theory, analysis didactics, and practical school studies for teacher trainees. His research emphasizes mathematical literacy, historical development of concepts, and bridging theory with classroom practice. Education & Affiliations: Professor at University of Bonn's Mathematical Institute since [Year not explicitly stated] Co-developer of the 'Welt der Zahl' textbook series for secondary schools Chief organizer of the 'Mathematics to Touch' exhibition (2002) at the Mathematikum Research Interests: Mathematical didactics and teacher training PISA assessment methodologies and educational standards Interactive learning through exhibitions and technology Historical perspectives in mathematics education Awards & Recognition: Recipient of the Archimedes Prize (2012) Contributor to German PISA mathematics framework Grants & Projects: Coordinated teacher trainee surveys analyzing secondary education effectiveness Developed materials for PISA-aligned mathematics assessment Labs/Teams: Involved with the Mathematisches Institut's didactics group and collaborates with institutions like the Mathematikum in Giessen.

Konrad SchöbelView profile

Professor

• Differential Geometry
• Algebraic Geometry
• Representation Theory
• +5 more

Prof. Dr. Konrad Schöbel is a Professor of Mathematics in Information and Communication Technology at the Faculty of Digital Transformation of Leipzig University of Applied Sciences (HTWK Leipzig) . His role involves teaching courses in mathematics and simulation, while also serving as a member of the Faculty Council and Deputy Chairman of the Examination Board. He is affiliated with the Mathematical and Natural Sciences Center of HTWK. Research Interests : Simulation of physical systems Image processing Inverse problems Classification of separable and superintegrable systems Differential and algebraic geometry Scientific consulting for SMEs Recent Publications focus on superintegrable systems, conformal geometry, and algebraic methods in mathematical physics, with collaborations spanning institutions like the University of New South Wales and Universität Hamburg. His work also includes patents in computational imaging and photolithography.

Andrew MyersView profile

Professor

• Programming Languages
• Computer Security
• Distributed Systems
• +3 more

Andrew Myers is a Professor in the Department of Computer Science at Cornell University, specializing in programming languages, computer security, and distributed systems. He serves as the Editor-in-Chief for ACM Transactions on Programming Languages and Systems (TOPLAS) and has chaired major conferences including ACM POPL 2018, ACM CCS 2016, POST 2014, IEEE CSF 2010, and IEEE S&P 2009. Myers' research focuses on the intersection of programming languages and security, particularly in developing language-based approaches to ensure security properties in distributed systems. His pioneering work in information flow control has established foundational techniques for tracking and controlling how sensitive information propagates through programs. He has made significant contributions to secure compilation, type systems that enforce security policies, and programming models for geographically distributed applications where consistency and security are critical concerns. Analysis of Myers' publication record reveals a consistent research trajectory centered on using programming language techniques to address security challenges. His early work established fundamental approaches to information flow security, which evolved into practical systems like Jif (Java information flow) and more recently Viaduct for secure distributed programming. Recent publications show increasing focus on secure distributed programming, information flow control in complex systems, and type systems that enable secure concurrency without sacrificing performance. ACM Fellow POPL'99 Best Paper Award SOSP'01 Best Paper Award SOSP'07 Best Paper Award CIDR'13 Best Paper Award PLDI'13 Best Paper Award PLDI'15 Best Paper Award Through the Programming Languages Mentoring Workshop (PLMW) at major conferences including POPL and PLDI, Myers has been actively involved in mentoring the next generation of programming languages researchers. His service as Editor-in-Chief of TOPLAS demonstrates his leadership in the field, overseeing the publication of cutting-edge research in programming languages and systems. While specific grant information isn't detailed in the provided text, his sustained research output and leadership roles suggest significant external funding support over his career. Though specific lab affiliations aren't mentioned in the provided text, Myers' research has clearly involved collaboration with numerous students and colleagues across multiple institutions. His work on systems like Viaduct and Jif suggests the leadership of research teams focused on building practical implementations of language-based security techniques. His active participation in conference organization and program committees indicates strong connections with the broader programming languages and security research communities.

Guido SalvaneschiView profile

Professor

• Programming Languages
• Software Engineering
• Distributed Systems
• +5 more

Guido Salvaneschi is a Professor at the School of Computer Science , University of St. Gallen, leading the Programming Group . His work bridges Programming Languages and Software Engineering with applications in Distributed Systems, Reactive Programming, and Secure Software Systems. Research Interests Dr. Salvaneschi focuses on: Multitier Programming Languages Consistency Models in Distributed Systems Reactive Programming for HPC and IoT Secure Software Development with Trusted Execution Environments Recent Publications Trends His recent work spans Infrastructure as Code testing ( CONFLANG ), consistency verification ( POPL ), and CRDT-based local-first software ( TSE journal ). Key themes include hybrid consistency enforcement, type-safe distributed abstractions, and automated verification of algebraic properties. Committee Roles ICSE 2026: Research Track Committee POPL 2025: Reviewer ‹Programming› 2025: Steering Committee Chair ISSTA 2025: Program Committee