جست‌وجوی استاد و پژوهشگر

Björn Brandenburgمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Scheduling Algorithms
• Real-Time Operating Systems
• +۵ مورد دیگر

Björn Brandenburg is a researcher at the Max Planck Institute for Software Systems (MPI-SWS) in Kaiserslautern, Germany. His work focuses on real-time systems, scheduling algorithms, and operating system design, with a particular emphasis on predictable resource allocation and performance guarantees in multiprocessor and cyber-physical environments. His research interests include real-time response-time analysis (e.g., PROSA ), locking protocols for multiprocessor systems, side-channel mitigation in cloud environments, and the verification of real-time scheduling policies. He has contributed to foundational studies on deadline failure probabilities, self-suspending tasks, and predictable real-time Linux implementations. Scientific awards include recognition for outstanding papers on TimerShield (2017) Offline Equivalence (2017) . His work intersects with practical systems like LITMUSRT and ROS 2, aiming to bridge theoretical guarantees with real-world applications in safety-critical and distributed real-time systems.

• Embedded Systems
• Real-Time Systems
• Cyber-Physical Systems
• +۷ مورد دیگر

Marco Caccamo is a Professor at the Technical University of Munich (TUM) , holding the Chair of Cyber-Physical Systems in Production Engineering within the Faculty of Mechanical Engineering. He is also a Principal Investigator and Professor at the Department of Computer Science, with courtesy appointments in Electrical and Computer Engineering, Coordinated Science Lab (CSL), and Aerospace Engineering at the University of Illinois at Urbana-Champaign (UIUC). His research spans Embedded Systems , Real-Time Systems , and Cyber-Physical Systems (CPS) , focusing on resource management, reinforcement learning architectures, and 6D pose recognition for robotics. University of Pisa (B.Sc., 1997) Scuola Superiore Sant'Anna (Ph.D., 2002) Research highlights include predictable resource management on heterogeneous platforms, security frameworks for AI-based controllers , and UAV testbed development . His work integrates deep learning and real-time constraints in industrial applications like avionics, farming, and automotive systems. His 15 most recent publications emphasize cache optimization , memory bandwidth regulation , and reinforcement learning for CPS , with a focus on multi-core processors and DNN inference . Awards include the IEEE Fellow (2018), Alexander von Humboldt Professorship (2018), and multiple Best Paper Awards at RTSS, RTNS, and RTAS. NSF CAREER Award (2003) IEEE Fellow (2018) Alexander von Humboldt Professorship (2018) Best Paper Awards (RTSS 2024, RTNS 2023, ECRTS 2019) He has advised numerous Ph.D. students and postdocs, with a track record in UAV development and industrial collaborations . His lab, the Real-Time and Embedded System Laboratory , focuses on real-time OS and predictable computing .

Andrea Bastoniمشاهده پروفایل

پژوهشگر ارشد

• Real-Time Systems
• Cyber-Physical Systems
• Operating System Design
• +۵ مورد دیگر

Dr. Andrea Bastoni is a Postdoctoral Researcher and Research Fellow at the Chair of Cyber-Physical Systems in Production Engineering at Technical University of Munich (TUM), Faculty of Mechanical Engineering. He is also the CTO and co-founder of Minerva Systems , developing operating system solutions for AI-ready embedded applications. His expertise spans real-time operating systems, cyber-physical systems, and predictable system design for heterogeneous platforms. His research focuses on enhancing predictability of memory hierarchies in complex SoCs through techniques like memory bandwidth regulation and cache partitioning. This work has industrial applications in safety-critical domains such as avionics and railways, where he contributes to certifiable hypervisors and operating systems. As former Software Architect of the PikeOS hypervisor at SYSGO GmbH (2012-2020), he specialized in DO-178C, IEC 61508, and EN 50128 standards. His academic background includes a Ph.D. in Computer Engineering from the University of Rome Tor Vergata (2007-2011), where he developed LITMUS^RT as part of UNC's Real-Time Systems Group during a visiting researcher period (2009-2010). His publications reflect ongoing work on Multicore Real-Time Scheduling , Mixed-Criticality Task Isolation, and Arm DynamIQ shared unit analysis. He actively participates in program committees for conferences like RTSS, DSN, and DATE.

• Embedded Systems
• Computer Engineering
• Electronics
• +۶ مورد دیگر

Prof. Akash Kumar is a Professor at the Chair of Embedded Systems at Ruhr University Bochum, Germany. He previously held professorships at TU Dresden (2015–2024) and the National University of Singapore (NUS; 2011–2015). His research focuses on design automation of embedded systems, reliability optimization, and approximate computing, with a strong emphasis on FPGA and emerging technologies. He leads projects such as Lean-MICS (DFG-funded) and SecuREFET-II, addressing cross-layer reliability and secure circuits. Education: PhD in Multimedia Multiprocessor Systems from Eindhoven University of Technology (TUe) and NUS (2005–2009), Master of Technological Design (Embedded Systems) from NUS (2003–2004), and B.Eng (Computer Engineering) from NUS (1999–2002, First Class Honours). Research interests span embedded systems, reconfigurable architectures, and hardware-software co-design. His work includes optimizing energy efficiency, fault tolerance, and cross-layer approximation techniques. Recent publications highlight advancements in FPGA-based accelerators, machine learning optimizations, and mixed-criticality systems. Active in grants and leadership, Kumar is Principal Investigator on multiple DFG and industry-funded projects, emphasizing collaborative research in distributed computing and approximate architectures. His contributions bridge theory and practice, with applications in edge AI, IoT, and cybersecurity.

Timo Hönigمشاهده پروفایل

استاد

• Operating Systems
• System Software
• Energy-Aware Computing Systems
• +۳ مورد دیگر

Prof. Timo Hönig is a Professor leading the Bochum Operating Systems and System Software (BOSS) Research Group at Ruhr-Universität Bochum (RUB). Previously, he served as an Assistant Professor at Friedrich-Alexander-University Erlangen-Nürnberg (FAU), where he was part of Department of Computer Science 4. His research focuses on Energy-Aware Computing Systems, Operating Systems, and System Software design with applications in embedded and real-time systems. Key research projects include the DFG Collaborative Research Center/TR 89 (Invasive Computing) and the DFG SPP 1914 (Latency- and Resilience-Aware Networking). He has received notable awards such as the SOSP SRC Gold Medal (2019) and the ISORC Best Paper Award (2017). He actively contributes to conferences like ACM EuroSys and USENIX ATC, and has led initiatives like the Albatross runtime system for energy-efficient HPC clusters. Teaching includes courses on Energy-Aware Computing and Operating Systems Technology. His work bridges theoretical system software design with practical applications in energy efficiency and heterogeneous architectures. The BOSS group explores future system software challenges for many-core and NVM-based systems.

• Biomedical Engineering
• Machine Learning
• Wearable Technology
• +۳ مورد دیگر

Muhammad Awais Bin Altaf is a researcher specializing in biomedical engineering, machine learning, and wearable technology. His work focuses on low-power embedded systems for neurological and cardiovascular monitoring, including EEG processors for seizure detection and PPG-based blood pressure classification. He has collaborated extensively with co-authors like Wala Saadeh and Jerald Yoo on IEEE journals and conferences. His research interests include Biomedical signal processing Wearable health devices Machine learning for medical diagnostics Energy-efficient hardware design Neurological disorder detection Embedded systems for clinical applications Recent publications highlight trends in shallow neural networks, autoencoders, and hardware acceleration for real-time health monitoring. Key subfields span seizure prediction, stress detection, and impedance-adaptive sensors. Collaborations include institutions in Germany, Finland, and Pakistan. His work often integrates open-source toolflows and industry-standard chip design techniques, emphasizing practical implementations for wearable environments. Contributions to HDR imaging algorithms and biomedical SoCs demonstrate interdisciplinary expertise in signal processing and healthcare technology.

• Real-time Systems
• Storage Systems
• Information Theory
• +۳ مورد دیگر

Carlos A. Rincon C. is an Instructional Associate Professor in the Computer Science Department at the University of Houston. Born in Venezuela, he brings extensive industry and international academic experience to his role, having previously served at Universidad del Zulia. His research integrates Information Theory with real-time systems scheduling to solve practical computing problems. Education includes: PhD in Computer Science, University of Houston (2014-2018) PhD in Informatics (Diploma of Advanced Studies), Universidad Politécnica de Madrid (2005-2008) Master in Telematics, Universidad Rafael Belloso Chacín (2001-2003) Bachelor in Computer Science, Universidad del Zulia (1994-2000) Research focuses on bridging theoretical computer science with real-world applications, particularly in: Real-time systems scheduling using entropy-based heuristics Storage system optimization through probabilistic compression Algorithmic efficiency in multiprocessor environments Publications demonstrate consistent focus on optimizing system performance through mathematical modeling, with recent work emphasizing entropy metrics in scheduling algorithms. Awards include: Best Paper Award nominee at IEEE International Symposium Outstanding Paper Award for multi-mode FRP task scheduling Advises graduate students on projects including disk failure prediction using ML and probabilistic compression optimization. Directs the ConocoPhillips Computer Science Learning Center, enhancing student resources for core CS courses.

Volkmar Siehمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Real-Time Systems
• Fault Tolerance
• +۴ مورد دیگر

Dr.-Ing. Volkmar Sieh is a researcher at the Chair of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg. His work focuses on fault-tolerant systems, real-time embedded systems, and virtualization technologies. He leads the FAUmachine project, developing advanced virtualization techniques for system simulation and fault injection. His research also includes energy-efficient real-time systems and hardware/software co-design. Research Activities: Design of Virtual Machines (FAUmachine) Restoration of Zuse Z23 computer Real-Time Systems with Mixed Criticalities WCET and WCEC Analysis Toolchains Energy-Neutral Real-Time System Kernels Key Contributions: He has published extensively on fault tolerance mechanisms, embedded system reliability, and energy-aware real-time systems. His work on the UMLinux tool and FAUmachine framework has advanced techniques for testing fault tolerance in networked systems and comprehensive system simulation. Technical Expertise: Virtualization and Hardware Simulation Real-Time OS Design WCET Analysis Energy Efficiency in Embedded Systems Fault Injection and Reliability Validation Labs/Projects: He is part of the FAUmachine research group, pioneering virtualization tools for complex system analysis and fault tolerance evaluation. His work integrates VHDL-based hardware models with software systems for comprehensive testing environments.

Jonas Rabensteinمشاهده پروفایل

پژوهشگر

• Operating Systems
• Distributed Systems
• System Software
• +۳ مورد دیگر

Jonas Rabenstein is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) within the Technische Fakultät at Friedrich-Alexander-Universität Erlangen-Nürnberg. His work focuses on invasive computing, distributed systems, and system software for many-core architectures. He contributes to the SFB/TRR 89 Invasive Computing project, particularly in developing the Invasive Runtime Support System (iRTSS). His research emphasizes resource arbitration, real-time systems, and embedded architectures. Research Interests: Rabenstein explores challenges in operating systems for heterogeneous hardware, virtual shared memory for MPSoCs, and scalable system software for future many-core processors. His projects address coherence management, task scheduling, and hardware-software co-design to optimize resource utilization. Teaching and Advising: He teaches System Programming courses and has advised multiple theses, including studies on relocating loaders for OctoPOS, system call frameworks, and distributed TCP/IP stacks for manycore systems. His supervision spans Bachelor's and Master's projects, emphasizing practical implementation of distributed and real-time systems. Affiliations: As part of the Distributed Systems and Operating Systems group, he collaborates on projects like OctoPOS and contributes to conferences such as HiPEAC and IPDPSW. His work bridges theoretical system design with practical deployment on emerging architectures.

• Computer Architecture
• Embedded Systems
• Parallel and Distributed Computing
• +۳ مورد دیگر

Jürgen Teich is a Professor at the University of Erlangen-Nuremberg, Department of Computer Science. His research focuses on computer architecture, embedded systems, and hardware-software co-design, with particular emphasis on energy-efficient and sustainable computing. He leads projects involving FPGA-based accelerators, neural networks on microcontrollers, and real-time systems optimization. His work spans topics such as approximation computing, MPSoCs (Multiprocessor Systems-on-Chip), and IoT device architectures. Key contributions include methodologies for optimizing resource allocation in heterogeneous systems and developing energy-harvesting solutions for embedded systems. Teich has authored numerous publications in top-tier conferences and journals, including DATE, FPL, and ACM Transactions. His research often collaborates with industry partners, emphasizing practical applications and open-source hardware.

• Real-Time Systems
• Database Systems
• Distributed Systems
• +۱۰ مورد دیگر

Ming Xiong is a researcher affiliated with Bell Labs , focusing on real-time systems, temporal consistency, and data freshness in embedded environments. His work spans concurrency control protocols, deferrable scheduling algorithms, and wireless communication systems. Key Research Areas: Real-time databases, XML data integration, location management in mobile networks, IoT semantic communication, and wireless channel modeling. Collaborations: Frequent co-authorship with Song Han, Deji Chen, Kam-yiu Lam, Krithi Ramamritham, and Wenfei Fan. His recent publications (2023-2025) emphasize semantic communication for IoT and wireless systems, temporal consistency in cyber-physical systems, and environmental data analysis via remote sensing. While no explicit awards or educational background are listed, his contributions to IEEE journals and conferences highlight expertise in real-time transaction processing and distributed systems.

Jian-Jia Chenمشاهده پروفایل

استاد

• Real-time systems
• Cyber-physical systems
• Embedded software
• +۴ مورد دیگر

Prof. Jian-Jia Chen is the Head of Chair at the Department of Computer Science (Computer Science 12) at Technische Universität Dortmund. He holds a Professorship in the Faculty of Computer Science, focusing on real-time systems, embedded software, and cyber-physical systems. His research emphasizes energy-efficient scheduling, fault resilience, and timing predictability in embedded systems. Education: Ph.D., 2002–2006: National Taiwan University (Dissertation: Energy-Efficient Scheduling for Real-Time Tasks) M.Sc., 2001–2002: National Taiwan University B.S., 1996–2001: National Taiwan University (Chemistry) Research Interests: His work spans real-time systems, low-power software design, and distributed computing. He has pioneered methods for optimizing energy efficiency in multiprocessor systems and developed fault-resilient architectures for embedded applications. Awards: ERC Consolidator Award (2019) Multiple Best Paper Awards at RTSS, RTCSA, and other conferences 2006 IICM Doctoral Dissertation Award Professional Experience: Juniorprofessor at Karlsruhe Institute of Technology (2010–2014) Postdoc at ETH Zurich (2008–2010) Postdoc and Research Assistant roles at National Taiwan University

• Hardware Security
• Cryptography
• Lightweight Cryptography
• +۴ مورد دیگر

Michael Tempelmeier is a researcher at the Chair of Information Security, Technical University of Munich (TUM), specializing in hardware security and cryptographic implementations. His work focuses on authenticated encryption, lightweight cryptography (NIST LWC/CAESAR), and the development of evaluation frameworks for cryptographic hardware. He actively contributes to teaching, holding the Zertifikat Hochschullehre der Bayerischen Universitäten and leading courses like Angewandte Kryptologie and SmartCard Projektpraktikum . Tempelmeier's research centers on optimizing and securing cryptographic implementations for embedded systems. Key areas include: Design of hardware APIs for lightweight cryptography Side-channel and fault-attack countermeasures Trusted hardware gateways for IoT devices Efficient benchmarking methodologies for cryptographic hardware His publications demonstrate consistent focus on hardware vulnerabilities, cryptographic efficiency, and standardized evaluation frameworks. He maintains active involvement in tool development (e.g., MaskVer for detecting flawed masking implementations) and contributes to major projects like the Hardware API for Lightweight Cryptography. No awards or direct student supervision are mentioned in the provided text.

• Computer Architecture
• Operating Systems
• Hardware/Software Co-Design
• +۳ مورد دیگر

Lars Nolte is a Researcher at the Chair of Integrated Systems (Lehrstuhl für Integrierte Systeme) at the Technical University of Munich, where he conducts cutting-edge research in computer architecture and operating systems with a focus on hardware acceleration for Linux kernel mechanisms using FPGA platforms. His primary research areas include Computer Architecture, Operating Systems, Hardware/Software Co-Design, Embedded Systems, FPGA Acceleration, and Linux Kernel Development. He investigates hardware-assisted solutions for inter-process communication, event notification, and thread synchronization to reduce latency in real-time systems, primarily through the PASSTA project which develops FPGA-based accelerators for Linux syscall optimization. Nolte's recent publications demonstrate a clear trend toward hardware-software co-design for Linux performance enhancement, with 10 publications since 2019 focusing on FPGA-accelerated kernel features like futex, epoll, and IPC. His work bridges computer architecture and systems software, targeting embedded and high-performance computing applications. He actively supervises student research, having guided numerous Bachelor's, Master's, and research internships on topics including hardware-accelerated Linux mechanisms, network processing, and tracing systems. Notable advisees include Maximilian Grözinger (Hardware Assisted Futex) and Jonas Kirf (Inter-Process Communication survey). The Chair of Integrated Systems, led by Prof. Andreas Herkersdorf, provides Nolte's collaborative research environment focused on integrated systems for cellular communications and embedded applications, with facilities including FPGA labs and Gem5 simulation infrastructure.

Georg von der Brüggenمشاهده پروفایل

پژوهشگر ارشد

• Real-time Systems
• Embedded Systems
• Real-time Scheduling Theory
• +۸ مورد دیگر

Georg von der Brüggen is a Senior Researcher at TU Dortmund University's Faculty of Computer Science, Department of Computer Science 12, working with the Design Automation for Embedded Systems Group since October 2021. He also supervises the Hardware Lab. Previously, he was a postdoctoral researcher at the Max Planck Institute for Software Systems (MPI-SWS) in Kaiserslautern from February 2020 to October 2021, where he worked in the Real-Time Systems Research Group led by Björn Brandenburg. His research focuses on real-time systems and embedded systems, with particular expertise in real-time scheduling theory, uncertain execution behavior, dynamic real-time systems, mixed-criticality systems, probabilistic schedulability, self-suspension, multiprocessor resource sharing, utilization bounds, and speedup factors. His work has significantly contributed to the theoretical foundations of real-time computing. Dr. von der Brüggen has received numerous prestigious awards including the RTSS 2024 Outstanding Paper Award, EMSOFT 2024 Best Paper Award, ECRTS 2023 Best Paper Award, and RTSS 2021 Best Paper Award. In 2020, he received the Graduation Award from the Expert Committee for Real-Time Systems of the German Informatics Society. RTSS 2024 Outstanding Paper Award EMSOFT 2024 Best Paper Award ECRTS 2023 Best Paper Award RTSS 2021 Best Paper Award Graduation Award of the Expert Committee for Real-Time Systems (2020) RTSS 2018 Outstanding Paper Award RTCSA 2018 Outstanding Paper Award He is actively involved in the academic community, currently serving on program committees for RTSS 2024, RTAS 2025, and ECRTS 2025. His extensive service history includes numerous conference organization roles such as Co-Chair for the Workshop on Mixed-Criticality at RTSS 2023, Co-Organizer of the Dagstuhl Seminar 23341 on Functionally Safe Multi-Core Systems, and various track chair and publicity roles at major real-time systems conferences. He also serves as a reviewer for prestigious journals including IEEE Transactions on Computers Real-Time Systems and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.