Tobias Langer is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg. His affiliation includes the Technische Fakultät and Department Informatik. He focuses on invasive computing systems, runtime support systems, and distributed architectures. Research interests include distributed systems, operating systems, parallel computing, and real-time systems. His work emphasizes runtime systems for many-core architectures, resource arbitration, and virtual shared memory solutions for MPSoCs. Recent publications explore iRTSS (invasive runtime support system) and system software for future computing architectures. His research trends address scalability, resource management, and real-time challenges in modern computing environments. No scientific awards are explicitly mentioned. He has advised multiple students on topics like OctoPOS operating system development and system monitoring units. Langer's work is affiliated with the SFB/TRR 89 Invasive Computing project and contributes to the OctoPOS kernel development. His lab is part of CS 4 at FAU, located in Room 0.041-113.
Johannes Behl is a Researcher affiliated with the Institute of Operating Systems and Computer Networks at Technische Universität Braunschweig, with an office at Friedrich-Alexander-Universität Erlangen-Nürnberg's Department of Computer Science 4. His research focuses on dependability, security, and distributed systems, particularly in cloud computing and Byzantine Fault Tolerance (BFT). He has contributed to projects like TCLOUDS (Trustworthy Clouds) and REFIT (Resource-Efficient Fault and Intrusion Tolerance). Behl has published extensively on topics including high-performance BFT systems leveraging Intel SGX, consensus-oriented parallelization for multi-core environments, and decentralized quota management in cloud infrastructures. His work emphasizes scalable, fault-tolerant solutions for distributed systems and cloud-based workflows. Teaching contributions include courses on distributed systems, middleware, and operating systems at both TU Braunschweig and FAU. He has supervised multiple theses on fault-tolerant protocols, consensus algorithms, and cloud computing frameworks. His research integrates practical implementations with theoretical advancements in system dependability and resource efficiency.
Dr. Gabor Drescher is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg. He holds a Dr.-Ing. (PhD) in Computer Science from FAU, where he has been a member of the research staff since 2012. His work focuses on operating systems for many-core architectures, real-time systems, parallel computing, and security mechanisms in distributed environments. Education: 2007–2010: Bachelor of Science in Computer Science, FAU 2010–2012: Master of Science with Honors in Computer Science, FAU 2021: Dr.-Ing. in Computer Science (PhD), FAU Research interests include: LAOS (Latency-Aware Operating Systems) Non-blocking synchronization algorithms Invasive Runtime Support Systems (iRTSS) Kernel-level security and encryption (e.g., RamCrypt) Custom OS design for many-core processors Teaching includes courses on operating systems, concurrent systems, and configurable system software engineering. He has supervised multiple student theses on topics like NUMA-aware memory distribution and kernel-level security mechanisms. His research contributes to improving the scalability and predictability of operating systems in many-core environments, with applications in embedded real-time systems and high-performance computing.
Toerless Eckert is a former academic staff member affiliated with Friedrich-Alexander-Universität Erlangen-Nürnberg's Department of Computer Science 4 (Distributed Systems and Operating Systems). He contributed to projects at the Computing Center (RRZE) and IMMD-IV, focusing on network infrastructure and multimedia systems. His work included supporting the Bavarian Higher-Education Network (BHN) and developing tools like DATlib, DoubleX, and vic.FAU. Eckert's research emphasized video conferencing technologies (e.g., VIC extensions for Parallax/Osprey cards) and network protocols. He supervised student projects such as Marcus Meissner's Diplomarbeit on vic.FAU and Stefan Behlert's work on video codecs. His 2018 presentation at CNSM introduced Preferred Path Routing (PPR) for advanced network management. Though his homepage is outdated, his contributions to distributed systems and multimedia networking remain significant.
Dr. Stefan Possanner is a Research Fellow at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology and the Department of Mathematics. Since 2021, he has served as a research associate at the Max Planck Institute for Plasma Physics within the Numerical Methods in Plasma Physics (NMPP) department led by Prof. Dr. Eric Sonnendrücker. His work bridges theoretical plasma physics with advanced computational techniques, contributing significantly to fusion research initiatives. Dr. Possanner's research expertise spans multiple critical domains in computational plasma physics: Numerical methods for kinetic equations in six-dimensional phase space Computational magnetohydrodynamics for tokamak and stellarator configurations Geometric numerical integration preserving physical system properties Structure-preserving finite element methods for plasma applications High-performance computing implementations for plasma simulations As an active educator since 2014, he has taught numerous courses at TUM including Computational Plasma Physics, Geometric Methods for Physics of Magnetized Plasmas, and advanced mathematics for engineering disciplines. His teaching portfolio demonstrates consistent expertise across computational mathematics and its physics applications. Dr. Possanner contributes to TUM's collaborative research ecosystem with the Max Planck Institute, focusing on: Development of numerical methods for the Vlasov equation and gyrokinetic approximation Modeling approaches for magnetohydrodynamics Geometric numerical integration for reduced complexity models Advanced finite element techniques with enhanced stability properties
Eric Sonnendrücker is a Professor at the Technical University of Munich (TUM), affiliated with the Department of Mathematics in the TUM School of Computation, Information and Technology. He is also a scientific member and director at the Max Planck Institute for Plasma Physics in Garching, reflecting his dual leadership in academia and fundamental research. His work bridges advanced numerical analysis with plasma physics, particularly for magnetic fusion applications. Born in 1967 PhD from École Normale Supérieure de Cachan, France Postdoctoral research at Karlsruhe Research Center and Lawrence Berkeley National Laboratory Professor at University of Strasbourg (2000–2012) Scientific Member and Director, Max Planck Institute for Plasma Physics (since 2012) Professor, TUM (since 2012) His research focuses on the development and analysis of numerical methods for plasma physics, especially kinetic and fluid models such as Vlasov and MHD systems. He specializes in semi-Lagrangian and Particle-in-Cell (PIC) methods, with a strong emphasis on structure-preserving algorithms, geometric integration, and high-performance computing for gyrokinetic simulations in fusion devices like tokamaks and stellarators. The recent publications highlight a consistent trend in advancing geometric and energy-conserving particle-in-cell methods, with applications to electromagnetic gyrokinetic simulations, curvilinear coordinate systems, and large-scale fusion modeling. His work integrates deep mathematical rigor with practical computational challenges in fusion energy research. While no specific awards are listed in the provided texts, his leadership roles and extensive publication record in top journals indicate high recognition in the field. He leads the 'Numerical Methods in Plasma Physics' research group at TUM, which collaborates closely with the Max Planck Institute. The group develops fast, scalable software for high-performance computers and visualization tools for large datasets, focusing on the implementation and analysis of numerical schemes for complex plasma behavior.
Anjo Vahldiek-Oberwagner is a Research Scientist at Intel Labs and an Adjunct Lecturer at TU Munich, where he contributes to both industrial R&D and academic education in systems and security. His work bridges hardware and software security, focusing on confidential computing, in-process isolation, and secure cloud deployments. PhD in Computer Science, Max Planck Institute for Software Systems & Saarland University, 2019 B.Sc. in Applied Computer Science, Cooperative University State University Baden-Wuertemberg, 2009 His research centers on system security, particularly techniques for protecting data confidentiality and integrity at rest, in-flight, and in-memory. He explores operating systems, distributed systems, and hardware-assisted security mechanisms such as Intel MPK and SGX. His work on ERIM, HFI, Endokernel, and Graphene has advanced secure in-process isolation and trusted execution environments. He has published extensively in top venues like USENIX Security, ASPLOS, and IEEE S&P. His recent publications reflect a strong trend toward practical, deployable security solutions for modern computing environments, including secure AI/ML deployments, efficient in-process isolation, and hardware-accelerated sandboxing. Themes include memory safety, performance optimization, and real-world applicability of security primitives. Scientific awards include: Distinguished Paper Award and Internet Defense Prize, USENIX Security 2019 (ERIM) Distinguished Paper Award, ASPLOS 2023 (HFI) IEEE Micro Top Picks 2024 (HFI) Intel Hardware Security Academic Award (Honorable Mention) DARPA Riser 2022 Intel Labs Gordy Award Honorable Mention He actively mentors and serves on program committees (EuroSys, USENIX Security, ASPLOS), chairs artifact evaluation (USENIX Security, EuroSys, SC), and is an Associate Editor for ACM TOPS. He has advised no formal students listed, but collaborates widely across Intel and academia. His work is supported by Intel and DARPA, and he holds multiple patents in secure computing and TEEs. He leads research on memory-safe architectures and secure cloud deployments at Intel Labs. He is involved in several research projects, including: Secure In-Process Memory Isolation, Shielding Applications in Untrusted Clouds via SGX, Memory-Safe Hardware and Software Architecture, and Research Artifacts and Evaluation. He is also a key contributor to the Graphene Library OS and works on validation and endorsement services for confidential computing.
Dr. Alexander Schwedt is a Group Leader at the Central Facility for Electron Microscopy at RWTH Aachen University. His research focuses on advanced materials characterization using electron microscopy techniques, particularly in the context of rolling contact fatigue in bearing steels, microstructural evolution in high-performance alloys, and failure mechanisms in engineering materials. He collaborates extensively across disciplines, including metallurgy, tribology, and energy storage systems. His work integrates experimental methods (e.g., EBSD, TEM/STEM) with computational modeling to study phenomena such as white etching areas, dark etching regions, and subsurface carbide deformation. Recent studies highlight innovations in additive manufacturing processes, corrosion-resistant materials, and nanostructure analysis of functional materials like sodium-ion battery components. Key Research Themes: Rolling contact fatigue in bearings, microstructure-property relationships, advanced microscopy techniques, and materials for energy storage. Notable Projects: Development of novel imaging methods for laser-induced defects in intraocular lenses, mechanistic studies on carbonation of peridotite, and tailored microstructures via hybrid directed energy deposition. Dr. Schwedt’s publications span journals like Wear , Acta Materialia , and Nano Letters , reflecting his contributions to both fundamental and applied materials science. He actively engages in collaborative research with academia and industry, addressing challenges in mechanical engineering, geochemistry, and biomedical applications.
Prof. Martin Buss is a full professor and chair of Control Engineering at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. He holds a doctorate from the University of Tokyo (1994) and habilitation from TUM (2000). Since 2003, he has led the Chair of Control Systems at TU Berlin before joining TUM. His research focuses on control theory, mechatronics, robotics, and medical technology, with notable contributions to hybrid systems, telepresence, and human-robot interaction. He coordinates TUM's Excellence Cluster CoTeSys and collaborative research centers on telepresence. Awards include the IEEE Fellow (2014) and Federal Cross of Merit (2011). Education: Studied electrical engineering at TU Darmstadt, PhD at University of Tokyo, and habilitation at TUM. His work spans over 200 publications in journals like IEEE Transactions and International Journal of Robotics. Key projects include IURO (social HRI), autonomous navigation, and safe reinforcement learning. He advises on grants for robotics and automation, with labs focusing on control systems and medical applications. Research highlights: Development of adaptive controllers for nonlinear systems, energy-efficient balancing in humanoid robots, and distributed MPC for traffic systems. His work integrates cognitive science with technical systems, emphasizing real-world applications in healthcare and autonomous vehicles.
Prof. Franz Kreupl is a Professor of Electrical Engineering and Head of the Department of Hybrid Electronic Systems at the Technische Universität München (TUM) since 2011. He holds a Diploma in Physics (1994) and a Dr. rer. nat. in Physics (1999) from the University of Regensburg. His research focuses on carbon-based materials (nanotubes, nanowires, graphene) for electronic components, sensors, interconnects, and energy storage. Key contributions include pioneering work on graphenic carbon for DRAMs, 3D storage technologies, and X-ray transmission windows. Prof. Kreupl has held roles at Siemens, Infineon, Qimonda, and SanDisk, leading R&D in nanomaterials and memory systems. He is a Senior Member of IEEE, member of the German Physical Society (DPG), and contributed to the International Technology Roadmap for Semiconductors (ITRS). His awards include the Rohde & Schwarz Prize (2017), SanDisk Patent Awards (2011/2010), and the Qimonda Innovation Award (2008). Key Projects: First integrated carbon nanotube vias (2001), graphene-based DRAM (2005), graphenic carbon X-ray windows (2015). Professional Roles: Vice Chairman of the Supervisory Board of Erlus AG, reviewer for Science/Nature, and expert for EU and BMBF initiatives. His research spans nanomaterials integration into semiconductor devices, with over 100 publications, 390+ patents (110 granted), and citation index h=44.
Prof. Urs Hugentobler is a full professor at the Institute for Astronomical and Physical Geodesy at Technische Universität München (TUM), leading the Satellite Geodesy Department and the Forschungseinrichtung Satellitengeodäsie (FESG). His work focuses on precise geodetic applications of GNSS systems, satellite orbit determination, and Earth rotation studies. He holds a doctorate in astronomy from the University of Bern (1997) and has extensive experience with the ESA and international geodetic networks. Education: Master’s in theoretical physics (University of Bern, 1989), PhD in astronomy (University of Bern, 1997). Professional roles include leadership at the Bernese GPS Software group and the Wettzell Geodetic Observatory collaboration. His research emphasizes satellite gravimetry, solar radiation pressure modeling, and multi-technique geodetic observations. Research interests span satellite geodesy, GNSS applications, time/frequency transfer, and Earth system monitoring. Key contributions include advancements in Galileo and BeiDou satellite modeling, and the development of the Bernese GNSS Software. His work bridges geodesy with space science, addressing challenges in precision positioning and global reference frames. Publications highlight innovations in multi-GNSS analysis, satellite orbit determination, and Earth rotation parameters. His lab, FESG, supports TUM’s geodetic research and operational activities at Wettzell. Ongoing projects include the ESA Baltic+ and NEROGRAV initiatives, focusing on gravimetry and Earth dynamics.
Andreas Kronfeld is a Senior Fellow at the Technical University of Munich's Institute for Advanced Study (TUM-IAS) since 2014, with a primary affiliation at Fermi National Accelerator Laboratory (Fermilab) since 1988. He holds a PhD in Physics from Cornell University (1985) and has been pivotal in advancing lattice gauge theory to interpret particle physics experiments. His research focuses on Quantum Chromodynamics (QCD), leveraging high-performance computing to study hadron properties and inform searches for physics beyond the Standard Model. Key contributions include calculations of meson decay constants and form factors critical for precision experiments. Education & Career: PhD (Cornell, 1985), Postdoc at DESY (1985–1988), Fermilab staff since 1989. Active in evaluating future accelerator projects like the ILC and Project X. Research Interests: Lattice QCD applications, hadron spectroscopy, high-energy physics, and computational methods for QCD simulations. His work bridges theoretical frameworks and experimental validation. Awards: Fellow of AAAS (2013) Fermilab Exceptional Performance Award (2013) Fellow of APS (2002) Grants & Collaborations: Leads lattice QCD collaborations involving multi-institutional teams, focusing on precision calculations for B- and D-meson decays. His work supports global efforts in particle physics experiments and theory. Labs/Teams: Part of Fermilab's Theoretical Physics Department and TUM-IAS's Physics with Effective Field Theories focus group, collaborating with Nora Brambilla and international teams.
Eleni Chatzi is an Associate Professor and Chair of Structural Mechanics and Monitoring at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering. She leads the ERC-funded WINDMIL project on smart life-cycle assessment of wind turbines. Her research focuses on Structural Health Monitoring (SHM), nonlinear system identification, and data-driven methods for predictive maintenance. Chatzi holds a PhD from Columbia University and has authored over 280 peer-reviewed publications. Research interests include computational mechanics for plasticity/fracture, machine learning applications in SHM, and decision-support systems for infrastructure. She serves as editor for journals such as Journal of Sound and Vibration and Mechanical Systems and Signal Processing . Notable awards include the 2020 ASCE Walter L. Huber Research Prize and EASD Junior Research Prize. Her work bridges theory and practice through projects like VOI4SH (Value of Information for Structural Health Monitoring), advancing methodologies to quantify monitoring benefits. Current research emphasizes integrating sensor data with advanced analytics for intelligent infrastructure management.
Ramón García Alarcia is a Research Associate and Doctoral Candidate at the Chair of Spacecraft Systems, Technical University of Munich (TUM), under Prof. Alessandro Golkar. He holds dual Bachelor's degrees in Aerospace and Telecommunication Systems Engineering from the Polytechnic University of Catalonia (UPC), and a Master's in Aerospace Engineering (Space Systems specialization) from ISAE-SUPAERO. His research focuses on applying Large Language Models (LLMs) to streamline space mission design, particularly in requirements generation and high-level documentation. This work aims to reduce costs and democratize access to space. Key areas include generative AI for complex systems, autonomous space systems, and federated satellite networks. Ramón teaches courses on spacecraft systems, including 'Design and Simulation of Microsatellites' and 'Systems Engineering – Advanced.' He has authored/co-authored over a dozen peer-reviewed publications, covering topics like AI-driven mission design tools, event-based cameras for situational awareness, and telecommunication network analysis. His doctoral project involves developing a prototype AI-assisted mission design tool, leveraging generative models to enhance efficiency in early-stage spacecraft planning. Collaborations span institutions like ISAE-SUPAERO and UPC, with a focus on interdisciplinary aerospace challenges.
Prof. Hans-Arno Jacobsen is a full professor at TUM's Department of Informatics, holding the Chair of Application and Middleware Systems since 2012 via an Alexander von Humboldt Professorship. He previously worked at the University of Toronto in Computer Science and Electrical & Computer Engineering. His research integrates computer science, engineering, and information systems, focusing on middleware systems, event processing, and energy-efficient ICT solutions. Notable collaborations include work with Bell Canada, IBM, and Sun Microsystems. Education: Doctoral studies across Germany, France, and the USA, followed by postdoctoral research at INRIA Paris. His applied research explores FPGA integration into middleware architectures to enhance performance and energy efficiency. Scientific Awards: Alexander von Humboldt Professorship (2012) Research Trends: Recent publications emphasize database indexing (BE-tree), adaptive content routing, and distributed SOA architectures for business processes. His work bridges theoretical computer science with industrial scalability challenges. No listed grants or advisees are explicitly mentioned in the text, though his industry partnerships suggest significant collaborative projects. His lab focuses on middleware innovations for modern hardware environments.
