جستجوی استاد راهنمای دانشگاهی

• Robotics
• Photogrammetry
• Simultaneous Localization and Mapping (SLAM)
• +۱۲ مورد دیگر

Cyrill Stachniss is a Full Professor at the University of Bonn , where he heads the Lab for Photogrammetry and Robotics and is affiliated with the Lamarr Institute for Machine Learning and Artificial Intelligence . He was previously a Visiting Professor in Engineering at the University of Oxford until 2025. His academic journey includes positions at the University of Freiburg, University of Zaragoza, and the Swiss Federal Institute of Technology. University: University of Bonn School: Faculty of Engineering Department: Department of Photogrammetry Academic Rank: Professor His research spans robotics, photogrammetry, SLAM, autonomous navigation, perception systems, agricultural robotics, and unmanned aerial vehicles . He emphasizes probabilistic techniques for mobile robots and has made significant contributions to visual and LiDAR-based localization, scene understanding, and 3D reconstruction. The recent publications highlight a strong trend toward neural implicit representations, agricultural phenotyping, radar-based perception, and active learning . His team develops robust systems for real-world deployment in dynamic and unstructured environments, particularly in precision farming and autonomous vehicles. Scientific Awards: IEEE RAS Early Career Award (2013) Microsoft Research Faculty Fellow (2010) 7th EURON Georges Giralt Award (2008) Multiple Best Paper Awards at ICRA, IROS, RSS, and RAL Faculty Teaching Award, University of Freiburg He has advised numerous students and leads the DFG Cluster of Excellence PhenoRob and Research Unit FOR 1505 Mapping on Demand . His lab has co-founded three startups, reflecting strong industry and societal impact. He also runs the educational video series 5 Minutes with Cyrill , explaining key robotics concepts.

• Secure Decentralized Systems
• Blockchain Technology
• Systems Security
• +۳ مورد دیگر

Prof. Bryan Ford leads the Decentralized/Distributed Systems (DEDIS) lab at EPFL. He focuses on secure decentralized systems, including blockchain technology, privacy, and systems security. He earned his Ph.D. from MIT and held faculty positions at Yale University and EPFL. His work spans distributed consensus protocols, peer-to-peer networking, and privacy-preserving systems. Key projects include QuePaxa (timeout-free consensus), UIA (global connectivity for mobile devices), and MedCo (secure healthcare data sharing). He advises numerous PhD students and contributes to open-source projects like Bitcoin collective signing and privacy networks like Riffle. Education: Ph.D., MIT; Postdoctoral work at Yale Research interests include blockchain scalability, consensus algorithms, and cryptographic privacy. His lab develops systems like TRIP for coercion-resistant voting and F3B to mitigate blockchain front-running. His work on NAT traversal and peer-to-peer protocols (e.g., STUN/ICE) remains foundational in network architecture. He emphasizes practical, auditable security solutions such as CertiKOS and atomic cross-chain transactions (Atom). Notable contributions: CoSi (collective signing), OmniLedger (sharded blockchain), and privacy-preserving protocols like PURBs (Protected Unsealable Recursive Boxes). His lab collaborates with Swiss Post to audit e-voting systems and designs democratic cryptocurrencies like PoPCoin.

Christian Schlagمشاهده پروفایل

استاد

• Equilibrium Asset Pricing
• Derivative Securities
• Empirical Capital Market Research
• +۳ مورد دیگر

Christian Schlag is a Professor at the Finance Department of Goethe University Frankfurt’s Faculty of Economics and Business , where he also serves as Dean. He leads the Chair of Derivatives and Financial Engineering and coordinates young researchers at the Leibniz Institute for Financial Research SAFE. His research focuses on equilibrium asset pricing, derivative securities, and empirical capital market analysis. Research Trends : Schlag’s recent work explores volatility dynamics, climate risk in asset pricing, return predictability, and investor behavior. His 2023 publications examine time-varying consumption growth risk, equity factors, and individual stock volatility models. Earlier studies (2021–2015) address pricing kernels, welfare costs of temperature volatility, and model mis-specification in hedging. Student Placements : Former advisees hold positions at institutions like the European Central Bank, INSEAD, Australian National University, and Warwick Business School. His Chair of Derivatives and Financial Engineering collaborates with networks across Europe, North America, and Asia.

Bénédicte Savoyمشاهده پروفایل

استاد

• Art History
• Cultural Property Restitution
• Colonial Heritage
• +۵ مورد دیگر

Bénédicte Savoy (born May 22, 1972 in Paris) is a renowned French art historian and Professor of Modern Art History at the Technical University of Berlin since 2009. Since 2016, she has also held positions at the Collège de France in Paris (2016-2021) and in November 2024 was appointed to the 'Cátedra del Prado' visiting professorship at the Prado Museum in Madrid. She is internationally recognized as a leading expert on cultural property restitution, particularly regarding colonial-era art theft and looted artifacts. Her research focuses on the complex histories of cultural displacement, with particular emphasis on European museums' colonial collections. Savoy has pioneered critical approaches to provenance research and has been instrumental in reshaping global debates about museum ethics and restitution practices. Her work bridges art history, postcolonial studies, and cultural policy, challenging traditional museum narratives and advocating for more transparent and ethical approaches to cultural heritage. Savoy's publications form a cohesive intellectual trajectory examining how cultural property has been transferred, often forcibly, across borders and continents. Her recent work increasingly focuses on African cultural heritage in European collections, with detailed case studies of Cameroon and broader analyses of restitution politics. The themes of historical justice, museum transparency, and decolonization of cultural institutions run consistently through her scholarship. Gottfried Wilhelm Leibniz Prize (2016), Germany's most prestigious research award TIME 100 most influential people in the world (2021) Ritterin der französischen Ehrenlegion (2022) Deutscher Kulturpolitikpreis (2022) Berliner Wissenschaftspreis (2023) Clark Prize for Excellence in Arts Writing (2024) Prix Européen de l'Essai 2025 (2025) As co-author of the groundbreaking 2018 report on African cultural restitution commissioned by French President Emmanuel Macron, Savoy has significantly influenced international policy. Her work has secured major research funding, including collaborative projects with African scholars. She has led influential research teams examining colonial collections, most notably the seven-member team that produced the 'Atlas der Abwesenheit' documenting Cameroonian cultural heritage in Germany. Her advocacy continues to shape museum practices worldwide, pushing institutions toward greater accountability regarding their colonial-era acquisitions.

• Quantum Chromodynamics (QCD)
• Heavy Quark Physics
• Lattice Gauge Theory
• +۴ مورد دیگر

Antonio Vairo is a full Professor at the Department of Physics, TUM School of Natural Sciences, Technical University of Munich, where he holds the Chair of Theoretical Physics - Applied Quantum Field Theory (T39) at the James-Franck-Str. 1/I campus in Garching bei München. His research focuses on the theoretical foundations of quantum chromodynamics with emphasis on heavy quark systems and non-perturbative phenomena. Professor Vairo's primary research interests include Quantum Chromodynamics (QCD), Heavy Quark Physics, Lattice Gauge Theory, Effective Field Theories, and Exotic Hadron Spectroscopy. His work bridges computational approaches with analytical frameworks to investigate quarkonium dynamics in extreme environments like the quark-gluon plasma, while developing novel applications of Born-Oppenheimer effective theory to multi-quark systems. Recent investigations extend into dark matter bound state formation in the early universe, demonstrating interdisciplinary reach across particle physics and cosmology. Analysis of his 2024-2025 publications reveals three dominant research thrusts: (1) quarkonium suppression mechanisms in heavy-ion collisions using open quantum systems approaches, (2) high-precision lattice QCD computations of static forces and chromoelectric correlators, and (3) systematic development of effective field theories for exotic hadrons and dark matter pairs. His work on pNRQCD (potential non-relativistic QCD) provides critical connections between lattice results and experimental observables in heavy-ion physics. Professor Vairo maintains active research leadership through collaborations with international groups including the Belle II experiment, as evidenced by his contributions to 'The Belle II Physics Book'. His methodological innovations in applying quantum trajectory methods to quarkonium evolution and developing FeynOnium computational tools for effective field theories demonstrate significant technical contributions to the field. Current research directions emphasize next-to-leading order corrections in heavy quark dynamics and Debye mass effects in dark matter bound state formation.

Thomas Wildمشاهده پروفایل

استاد

• Manycore system on chip (SoC) architectures
• Network processor (NPU) architectures
• On-chip communication architectures
• +۳ مورد دیگر

Dr.-Ing. Thomas Wild serves as an Academic Director at the Technical University of Munich (TUM), working within the TUM School of Computation, Information and Technology at the Chair of Integrated Systems. He maintains an active research and teaching role at the institution, with his office located in Building N1 (Theresienstr. 90), Room N2136 in Munich, Germany. Dr. Wild's research focuses on advanced computing architectures, with particular emphasis on manycore system on chip (SoC) architectures, network processor (NPU) architectures, on-chip communication architectures including networks on chip (NoC), and system level design methodologies. His work bridges theoretical research with practical implementation, often exploring design space exploration techniques to optimize system performance. The evolution of his research over two decades demonstrates a consistent focus on improving communication architectures and system-level design for embedded and high-performance computing platforms. His recent publications (2023-2025) reveal a growing integration of machine learning techniques with traditional hardware design, particularly in optimizing power-performance tradeoffs in embedded systems. There's a clear trend toward hardware-software co-design approaches, with significant work on SmartNICs, Linux system optimization, and network processing acceleration. His research shows strong interdisciplinary connections between computer architecture, networking, and machine learning. EUROPRACTICE representative for TUM city campus, facilitating access to commercial EDA tools for academic purposes Active collaborator with Professor Andreas Herkersdorf and other researchers at TUM Focus on practical implementations with FPGA-based prototyping and real system modifications Dr. Wild teaches several hardware design courses including VHDL Lab, SystemC Lab, and HW/SW Codesign, contributing to the education of next-generation computer engineers. His teaching directly complements his research in system design and hardware acceleration, providing students with hands-on experience in cutting-edge technologies.

• Embedded Systems
• Hardware-Software Co-Design
• Invasive Computing
• +۷ مورد دیگر

Prof. Dr.-Ing. Jürgen Teich is a full Professor and Chair for Hardware-Software Co-Design at the Department of Computer Science, Friedrich Alexander University Erlangen-Nuremberg (FAU). He serves as Head of Department Computer Science and Vice Dean of the Technical Faculty since August 2024, and has been Speaker of the FAU Research Center Embedded System Initiative (FAU ESI) since 2023. His educational background includes: Diploma degree in Electrical Engineering, University of Kaiserslautern (1989) Dr.-Ing. degree in Electrical Engineering, University of Saarland (1993) Habilitation (PD Dr.-Ing.) entitled "Synthesis and Optimization of Digital Hardware/Software Systems" (1996) Prof. Teich's research focuses on Embedded Systems , Invasive Computing , Hardware-Software Co-Design , and Reconfigurable Computing . His work spans from theoretical foundations to practical implementations, with particular emphasis on resource-constrained systems, many-core architectures, and energy-efficient computing. He has pioneered research in invasive computing paradigms that enable more efficient use of many-core processors by allowing applications to dynamically claim resources. His recent publications reveal a strong trend toward energy-efficient AI deployment on embedded devices , security of embedded systems , and novel memory technologies . There's a clear focus on practical implementations of machine learning on microcontrollers (TinyML), hardware acceleration for data processing, and innovative approaches to power management in self-powered systems. Among his notable scientific awards are: IEEE Fellow (since 2018) Member of Academia Europaea, Section Informatics (since 2011) Member of the National Academy of Science and Engineering (acatech) (since 2018) Member of the German Society of Humboldtians (since 2021) Prof. Teich has been Principal Investigator for numerous DFG-funded projects including SFB/Transregio 89 "Invasive Computing" (2010-2022), SFB 694, and multiple priority programs. He has coordinated large collaborative research efforts across Germany and internationally, with significant funding from DFG and other sources. His research group has produced influential work in embedded systems design and co-design methodologies. He leads the Hardware-Software Co-Design research group at FAU, which focuses on innovative approaches to embedded system design, invasive computing architectures, and efficient implementation of machine learning on resource-constrained devices. The group maintains strong collaborations with industry partners including Intel, Xilinx, and automotive companies.

Anne Koelewijnمشاهده پروفایل

استادیار

• Human Movement
• Optimal Control
• In the wild movement analysis
• +۴ مورد دیگر

Dr. Anne Koelewijn is an Assistant Professor leading the Biomechanical Motion Analysis and Creation (BioMAC) group at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) since 2019. Her research bridges biomechanics, computational modeling, and wearable technology to analyze human movement. She holds a Junior Professorship in Computational Movement Science within the Department of Electrical-Electronic-Communication Engineering. Her educational background includes a Doctor of Engineering in Mechanical Engineering from Cleveland State University (focus: prosthesis design and gait simulations), an MSc in Mechanical Engineering (BioMechanical Design specialization), and a BSc in Aerospace Engineering , both from Delft University of Technology. She completed postdoctoral work at École Polytechnique Fédérale de Lausanne on neuromuscular control. Research interests center on human movement optimization , neuromuscular control mechanisms , and in-the-wild movement analysis . Her work integrates musculoskeletal modeling, optimal control theory, and machine learning to study gait adaptations, exoskeleton design, and pathological movement patterns (e.g., Parkinson’s disease). Publications emphasize predictive simulations , wearable sensor technology , and biomechanical energy optimization , with recent advances in radar-based motion capture, inertial pose estimation, and digital twin applications for medical engineering. Promising Scientist Award , International Society of Biomechanics (2023) Best Paper Award , 5th International Symposium on Wearable Robotics (2020) She leads the BioMAC research group, focusing on computational methods for movement science and collaborating internationally on projects involving exoskeletons, injury prevention, and neuroprosthetics.

Robert Bruce Findlerمشاهده پروفایل

استاد

• Programming Languages
• Software Engineering
• Macro Systems
• +۲ مورد دیگر

Robert Bruce Findler is a Professor of Computer Science at Northwestern University, specializing in programming languages and software engineering. He serves as a core developer of the Racket programming language and has contributed extensively to language design, macro systems, and gradual typing. Affiliation: Department of Electrical Engineering and Computer Science, McCormick School of Engineering Research Interests: Programming Languages (PL), Domain-Specific Languages (DSLs), Macro Systems, Gradual Typing, Contracts His work spans both theoretical and practical domains, including the development of Racket's Redex framework for semantics engineering and innovative approaches to contract systems in gradual typing. He has been actively involved in the PL community through committee memberships and program organization. Recent research focuses on macro systems (Rhombus), contract optimization (Collapsible Contracts), and language interoperability (The Functional, the Imperative, and the Sudoku). His GitHub contributions reflect ongoing development in Racket and related tools. Key Collaborations: Racket development ecosystem, PLDI/POPL/ICFP/SPLASH conferences Committee Roles: ICFP Programme Committee, REBLS Program Committee, POPLmark Retrospective Panelist

Stefan Wildermannمشاهده پروفایل

استاد

• Reconfigurable Systems
• Edge Computing
• Organic Computing
• +۷ مورد دیگر

Stefan Wildermann is a Professor at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), where he leads the Reconfigurable Computing Group within the Chair of Computer Science 12 (Hardware-Software Co-Design) in the Department of Computer Science. He has maintained continuous research activity at FAU since 2006, progressing from researcher to his current leadership position. Dr. Wildermann earned his Diploma degree in Computer Science from FAU in 2006 and completed his doctorate (Dr.-Ing.) in Computer Science at the same institution in July 2012. His academic career has been entirely rooted at FAU, demonstrating a strong institutional commitment and progression through the ranks. His research spans multiple cutting-edge areas in computer science and engineering, with particular emphasis on reconfigurable systems and hardware-software co-design. Wildermann's work in edge computing explores efficient processing at the network periphery, while his research in organic computing investigates self-organizing systems that can adapt to changing environments. His expertise extends to optimization techniques for embedded systems, applying game theory principles and convex optimization methods to solve complex resource allocation problems. More recently, he has integrated reinforcement learning approaches to enhance system adaptability and performance. His teaching portfolio includes courses on event-driven systems, computer engineering fundamentals, embedded systems, and hardware-software co-design. Analysis of Wildermann's publication record from 2021-2025 reveals a strong focus on hardware acceleration, security, and embedded systems. His work demonstrates consistent evolution from foundational research in reconfigurable architectures toward practical applications in IoT, robotics, and secure computing. A significant portion of his recent work addresses near-data processing using FPGAs for database acceleration, while maintaining parallel research streams in side-channel security analysis and energy-efficient embedded systems design. His publications frequently appear in top-tier conferences including DATE, FPL, ASP-DAC, and HOST, reflecting strong recognition within the computer architecture and embedded systems communities. Wildermann has held significant leadership roles including Head of the Reconfigurable Computing Group since 2015 and previously served as Head of the Self-organizing Systems Group (2012-2015) and Lab Leader of the Automotive Lab within the Embedded Systems Initiative (2016-2020). His research has been consistently funded through multiple projects investigating invasive computing, reconfigurable architectures, and embedded systems design methodologies. Currently based in Room 02.116 at Cauerstr. 11, 91058 Erlangen, Wildermann continues to lead active research in the Hardware-Software Co-Design group, supervising projects that bridge theoretical computer science with practical hardware implementation challenges.

Ralf Kriegelمشاهده پروفایل

استاد

• Sports Management
• Fitness Facility Leadership
• Human Resources Management
• +۳ مورد دیگر

Prof. Ralf Kriegel holds a part-time professorship (0.5 PE) for Sports Science at the German University of Health and Sport (DHGS) in Ismaning, Faculty of Sport and Training Sciences. He concurrently serves as COO and authorized signatory at functional training movement GmbH (FTM), Munich, and previously held leadership roles in fitness management including Management Board membership at ACISO/ELEMENTS and regional manager at Migros Freizeit Deutschland GmbH/ELEMENTS. Education includes a PhD (2004) from the University of the Federal Armed Forces Munich on sports recommendations via internet applications, and a Diploma in Sports Science (1994) from the same institution. Research focuses on fitness facility management, human resources in sports sectors, and marketing strategies for fitness industries. His work bridges academic research (e.g., diabetes and exercise studies) with practical business applications in gym operations and client retention. Professional experience spans over 20 years in fitness industry leadership roles combined with academic teaching. Publications span strategic management in fitness, exercise physiology for chronic diseases, and innovative digital tools for sports recommendations.

• Organizational Economics
• Theory of the Firm
• Corporate Governance
• +۴ مورد دیگر

Prof. Dr. rer. pol. Bernd Frick is a full Professor of Economics at the University of Paderborn , Faculty of Business Administration and Economics, where he heads the Department of Economics – Institute Department 1: Management. Active and born in 1959, he is based in Paderborn, Germany, and his research spans Organizational Economics , Corporate Governance , Personnel Economics , Law & Economics , and Sports & Cultural Economics . Education & Academic Focus: Although specific degrees are not listed, his title "Dr. rer. pol." (Doctor of Economics and Social Sciences) indicates advanced training in economics. His work integrates microeconomic theory with empirical analysis, focusing on labor markets, firm governance, and the economics of professional sports. Research Interests: Organizational Economics & Theory of the Firm: Analyzing internal labor markets, co-determination, and governance structures. Personnel Economics & Labor Policy: Examining incentive systems, wage determination, and employment practices. Sports Economics: Extensive studies on player remuneration, coaching careers, doping, and the economic impact of regulations like the Bosman ruling. Law & Economics: Evaluating the economic effects of legal frameworks, including disability employment laws and co-determination statutes. Cultural Economics: Investigating art markets, reputation, and value creation in creative industries. Publication Trends: Over 100 peer-reviewed articles and monographs reveal a consistent focus on empirical sports economics (e.g., Bundesliga performance, marathon incentives), labor market institutions (works councils, co-determination), and governance issues. Recent work explores gender competitiveness in athletics and the longevity of coaching careers under performance pressure. Scientific Awards & Honors: While no major named awards are listed, his extensive publication record, editorship of academic volumes (e.g., Economics of Grassroots Sports ), and frequent policy-oriented commentary establish him as a leading voice in applied economics. Advising & Grants: Details on specific doctoral students or funded projects are not provided, but his role as editor, co-author with international scholars (e.g., Robert Simmons, Joachim Prinz), and policy consultant (e.g., Federal Ministry of Labour) imply active supervision and grant involvement. Labs & Teams: While no dedicated lab is mentioned, his institutional affiliation with the Institute Department 1: Management suggests collaboration within a multidisciplinary team of economists and management scholars at Paderborn.

Marie-Christine Dükerمشاهده پروفایل

استادیار

• high-dimensional statistics
• time series analysis
• functional data analysis
• +۱۱ مورد دیگر

Marie-Christine Düker is an Assistant Professor in the Department of Statistics and Data Science at Friedrich-Alexander University (Germany). Her research focuses on high-dimensional statistics, time series analysis, functional data analysis, and extreme value theory with applications in economics, psychology, chemistry, and ecology. Previously, she was a postdoctoral associate at Cornell University's Department of Statistics and Data Science under David Matteson. She earned her PhD in Mathematics from Ruhr-University Bochum under Herold Dehling and spent part of her doctoral studies at the University of North Carolina at Chapel Hill with Vladas Pipiras. Current Position: Assistant Professor, Department of Statistics and Data Science, Friedrich-Alexander University Previous Academic Affiliation: Postdoctoral Associate, Cornell University Education: PhD in Mathematics, Ruhr-University Bochum; Part-time research at University of North Carolina Research Interests: Her work spans high-dimensional time series under long-range dependence and nonstationarity, discrete data modeling, nonlinear dynamics, dimension reduction, and change-point analysis. Applications include econometrics, neuroscience, chemical data analysis, and ecological forecasting. Recent Publications: Her 2025-2024 work covers Hilbert space-valued linear processes, kernel estimation for nonlinear dynamics, confidence interval approximations, and latent Gaussian count time series. Earlier papers address simultaneous diagonalization, long-run variance matrices, and transition rate estimation challenges. Contact: marie.dueker@fau.de

Philipp Weissمشاهده پروفایل

پژوهشگر

• Automotive Systems
• Internet of Things (IoT)
• Fail-Operational Systems
• +۵ مورد دیگر

Philipp Weiss is a Researcher at the Technical University of Munich (TUM), affiliated with the Department of Electrical and Computer Engineering and the Chair of Embedded Systems and Internet of Things. Holding an M.Sc. degree, he actively contributes to research and teaching in embedded systems and IoT with a strong focus on automotive applications. His research spans Automotive Systems , Internet of Things (IoT) , Fail-Operational Systems , Reliability Analysis , Agent-Based Systems , and Distributed Systems . Weiss specializes in fail-operational automotive software design, dynamic agent-based mapping methods, and run-time reliability analysis, addressing critical challenges in autonomous vehicle safety and resilience through publications in DATE and DSD conferences. Analysis of his 2020-2021 publications reveals consistent focus on fail-operational architectures for automotive systems, with recurring themes in distributed agent-based modeling, timing analysis, and energy optimization within hybrid cloud environments. His work bridges theoretical reliability frameworks with practical automotive implementations. Weiss has supervised multiple Master's theses and final projects from 2019-2021 on topics including dynamic agent-based reliability analysis and fail-over timing for neural networks. As an educator, he serves as tutor for System Design for the Internet of Things and seminar manager for Advanced Seminar Embedded Systems and Internet of Things . Embedded within Prof. Sebastian Steinhorst's research team, Weiss contributes to major initiatives including Security for IoT and Autonomous Systems , Time-Sensitive Networking , and 6G Research Hub "6G-Life" , operating within TUM's IoT Remote Lab infrastructure for hands-on experimentation with industrial IoT systems.

Sebastian Maierمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Operating Systems
• Many-Core Architectures
• +۳ مورد دیگر

Sebastian Maier is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-University Erlangen-Nuremberg, part of the Faculty of Engineering. His work focuses on invasive computing, many-core architectures, and distributed systems. He has contributed to projects like the iRTSS (Invasive Run-Time Support System) and the OctoPOS kernel, emphasizing system software for resource arbitration and latency-aware systems. Maier has taught courses such as System-level Programming in C and Operating Systems exercises from 2013 to 2019. His research interests include hardware-software co-design, embedded systems security, and runtime systems for future architectures. He has advised students on thesis topics like distributed TCP/IP stacks and asynchronous communication interfaces in many-core systems. His recent work explores dynamic hardware-managed queues (DySHARQ) and resource arbitration mechanisms for tile-based architectures. These efforts aim to optimize parallel processing and real-time performance in embedded systems. Maier has also collaborated on latency-aware operating systems (LAOS) and security in embedded systems (SESES). Key Projects: iRTSS, AAM (Asynchronous Abstract Machines), SHARQ, LAOS Lab/Teams: Part of the Invasive Computing SFB/TRR 89 project (Project C1) His publications span conferences like ROME, ROSS, and HiPEAC, addressing challenges in many-core kernel design, scalability, and hardware-accelerated systems. Current research trends focus on adapting system software to heterogeneous and dynamic many-core environments.