جستجوی استاد راهنمای دانشگاهی

• Embedded Security
• Cryptography
• Hardware Security
• +۵ مورد دیگر

Christof Paar is a Professor of Embedded Security at Ruhr University Bochum's Faculty of Computer Science. His work focuses on hardware security, cryptography, and embedded systems security. He leads the Embedded Security Group within the CASE Cluster of Excellence (Cyber Security in the Age of Large-Scale Attacks), addressing cutting-edge challenges in hardware Trojans, side-channel attacks, and cryptographic engineering. His research spans FPGA and IoT security, with contributions to physical-layer security, wireless jamming defenses, and tamper-resistant systems. Research Interests: Paar's expertise lies in hardware-software co-design for security, with a focus on embedded systems. His work includes analyzing vulnerabilities in FPGAs, developing countermeasures against side-channel attacks, and exploring physical-layer security mechanisms. He also investigates the human factors in hardware reverse engineering and the implications of adversarial machine learning on security systems. Notable Work: Recent publications highlight breakthroughs in detecting hardware Trojans across CMOS generations, breaking industry-standard IP protection mechanisms (IEEE 1735), and proposing novel defenses like IRShield against adversarial wireless sensing. His group actively contributes to standards for secure embedded systems and IoT devices, emphasizing practical implementations.

Jens Altenburgمشاهده پروفایل

استاد

• Robotics
• Embedded Systems
• Microprocessor Technology
• +۳ مورد دیگر

Prof. Jens Altenburg holds the position of Professor of Microprocessor Technology and Embedded Systems at Bingen University of Applied Sciences. His work focuses on robotics, embedded systems, and control engineering. He is affiliated with Department 2, where he contributes to study programs in Computer Science, Electrical Engineering, and related fields. His research interests span robotics, UAVs, and microprocessor-driven automation. Notable publications include works on flight control systems (AONE test bench), image processing for robots, and solar-powered robotics (SOPHOCLES). He has authored technical books on microcontroller programming and mobile robotics, emphasizing practical experimentation and AI integration. While no specific awards are mentioned in the text, his contributions to educational materials and experimental systems highlight his impact in engineering education and applied research.

Estela Suarezمشاهده پروفایل

استاد

• High Performance Computing (HPC)
• Heterogeneous HPC Architectures
• Modular Supercomputing Architecture
• +۴ مورد دیگر

Estela Suarez is a Professor of High Performance Computing at the University of Bonn's Computer Science Department and holds leadership roles at the Jülich Supercomputing Centre (JSC) in Forschungszentrum Jülich. Her work focuses on advancing modular supercomputing architectures, heterogeneous systems, and application optimization for exascale computing. She currently serves as Chair of the EuroHPC Joint Undertaking's Research and Innovation Advisory Group (RIAG) and leads the Next Generation Architectures and Prototypes research group at JSC. Education includes a PhD in Physics from the University of Geneva (2010) and a Master's in Physics (Astrophysics specialization) from Universidad Complutense de Madrid (2004). She has held senior research positions at JSC since 2010 and has led major EU-funded projects like DEEP, DEEP-ER, and DEEP-SEA. Research interests include HPC system design, hardware-software co-design, and energy-efficient supercomputing architectures. She was awarded the University of Bonn's 2023/2024 teaching award and actively contributes to initiatives like the European Processor Initiative (EPI) and the NUMERIQS consortium. Current projects include optimizing exascale systems for Earth system modeling (IFCES2), AI-driven data analytics (AIDAS), and modular supercomputing software (DEEP-SEA). During her 2024/2025 sabbatical, she is not accepting new students. Her work is published in journals like Geoscientific Model Development and conferences such as ISC and EuroHPC.

• Formal Verification
• Automated Reasoning
• SAT and SMT Solving
• +۷ مورد دیگر

Bernd Becker is a Professor in the Department of Computer Science at the Faculty of Engineering, University of Freiburg, Germany. He has been actively publishing in the fields of formal methods, hardware verification, and automated reasoning since the 1980s, with a sustained record of high-impact publications up to 2025. His research interests span formal verification, SAT and SMT solving, hardware testing, probabilistic systems, and embedded systems security. His work bridges theoretical advances in automated reasoning with practical applications in processor design, RISC-V verification, and safety-critical systems. The recent articles highlight a strong focus on applying formal methods to emerging challenges in hardware and AI, including POMDPs for robot planning, RISC-V security, GPU verification, and energy-efficient monitoring. There is a clear trend toward integrating symbolic computation with machine learning and probabilistic reasoning. Bernd Becker has collaborated extensively with researchers such as Ralf Wimmer, Ilia Polian, and Matthias Sauer, indicating leadership in a large, interdisciplinary research group. His work has been supported by numerous grants, though specific details are not listed in the source text. He has contributed to major conferences such as DATE, FMCAD, and SAT, and has mentored several students and researchers, though specific names are not provided. He is involved in projects related to secure scan networks, physical unclonable functions, and smart home systems.

Uwe Kastensمشاهده پروفایل

استاد

• Program Analysis
• Dynamic Optimization
• Static Analysis
• +۵ مورد دیگر

Prof. Dr. Uwe Kastens is a Professor at the University of Paderborn, affiliated with the Institute of Computer Science under the Faculty of Electrical Engineering, Computer Science and Mathematics. His research focuses on program analysis, dynamic and static optimization, compiler design, and visual programming languages. University: University of Paderborn School: Faculty of Electrical Engineering, Computer Science and Mathematics Department: Institute of Computer Science Academic Rank: Professor His work includes the development of the PAULI software infrastructure for analyzing Java class files, aiming to enhance dynamic program optimization through static analysis of libraries. This methodology addresses challenges in Java's execution model and dynamic class loading while supporting deployment strategies for multi-threaded applications. Uwe Kastens' research trends in publications emphasize static compositional analysis of software libraries, dynamic optimization techniques, and inter-library dependency studies in Java environments. His contributions span from foundational methods (pre-2001) to practical applications in virtual machine optimization. Student Council Award 2000 Weierstrass Prize 2001 He has advised Dr. Michael Thies, whose PhD thesis expanded on Kastens' work in Java optimization. Additional research includes design-space exploration for microprocessor architectures and optimizing compiler development for specific application domains.

Carsten Trinitisمشاهده پروفایل

استاد

• High Performance Computer Architectures
• Microprocessor Architectures
• Co-design
• +۵ مورد دیگر

Prof. Dr. Carsten Trinitis is a full professor at the Chair of Computer Architecture & Parallel Systems within the TUM School of Computation, Information and Technology. Specializing in high-performance computer architecture with a unique focus on spaceflight applications and informatics ethics, he leads the 'Gesellschaft für Informatik und Ethik' (Society for Informatics and Ethics). Ph.D. in Electrical Engineering from TUM (1998) Industry experience before returning to academia Former Assistant Professor in History of Science (2002-2010) at Universität der Bundeswehr München Full Professor of Distributed Computing at University of Bedfordshire (2010-2014) His research spans three major domains: High-Performance Computing: Focused on microprocessor architectures, hardware-oriented optimizations, and co-design approaches. Recent work includes GPU power capping strategies and Data Distribution Service (DDS) middleware enhancements. Space Systems: Pioneering computer architectures for nanosatellites with projects like MOVE-II mission and MicroPython-based satellite control systems. Digital Ethics: Through his 'Gewissensbits' initiative, he explores ethical decision-making frameworks for technology and contributes to the German Informatics Society's ethical guidelines. Key publication trends show interdisciplinary work connecting: HPC systems and edge AI applications FPGA-based verification and RISC-V processors Time series analysis at petascale performance Hardware-software co-design for extreme environments Continued emphasis on ethical computing frameworks Scientific Recognition: TeachInf Award for Outstanding Teaching (2023) Hans Meuer Award for Best Paper (2020) ZARM Master Thesis Awards (2016, 2017) Prof. Trinitis leads multiple research projects including: SEANERGYS (EuroHPC) - Energy-efficient computing systems PlasmaPEPS - Plasma physics simulation environments OpenCUBE - Open computing frameworks for space MUNIQC-ATOMS - Quantum computing integration

Dominik Aufderheideمشاهده پروفایل

استاد

• Computer Vision
• Multi-Sensor Data Fusion
• 3D Scene Reconstruction
• +۳ مورد دیگر

Prof. Dr. Dominik Aufderheide serves as a Professor in the Department of Electrical Power Engineering at South Westphalia University of Applied Sciences, Soest campus. He teaches undergraduate courses including Data Acquisition and Conversion I/II, Microprocessor Technology, and Image Processing/Computer Vision, alongside graduate instruction in Microprocessor Based Systems for the Advanced Engineering and Engineering Management Master's program. His research focuses on industrial sensor applications with core expertise in: Multi-Sensor Data Fusion for industrial metrology 3D Scene Reconstruction using multi-sensor inputs Adaptive Sensor Network optimization Real-time Computer Vision algorithms Embedded systems for measurement technology Signal processing in power engineering contexts Leading the Industrielle Messtechnik (iMe) research group, he integrates computer vision and sensor fusion techniques to develop robust industrial measurement solutions. His work bridges theoretical signal processing with practical power engineering applications, emphasizing accuracy enhancement through adaptive network architectures and advanced image analysis.

• Mechatronics
• Embedded Systems
• Control Systems
• +۵ مورد دیگر

Jürgen Schäfer is a Professor at Saarland University of Applied Sciences, specializing in embedded systems and mechatronics. He leads the Embedded Systems Laboratory and contributes to curriculum development in technical disciplines. Academic Affiliation: Saarland University of Applied Sciences Research Focus: Embedded systems, microcontroller applications, and energy conversion technologies. Lecture Topics: System dynamics, control systems, FPGA design, and computer architecture across winter and summer semesters. Laboratory Leadership: Head of the Embedded Systems Laboratory. Contact: Email juergen.schaefer@htwsaar.de, Room 5311, Saarbrücken campus.

Bernhard Langمشاهده پروفایل

استاد

• Digital Systems
• Embedded Systems
• FPGA Design
• +۳ مورد دیگر

Prof. Dr.-Ing. Bernhard Lang is a Professor at the Faculty of Engineering and Computer Science (IuI) at Osnabrück University of Applied Sciences. His research focuses on digital multimedia systems and microprocessor technology, with expertise in FPGA-based systems and RISC-V architectures. He leads the Laboratory for Digital and Microprocessor Technology, where he develops hardware GDB-Server solutions for embedded systems. His work includes projects such as a GDB-Server implementation for VexRiscv processors and fine-grained multithreading designs. He actively contributes to open-source projects, including hardware-software co-design frameworks for FPGAs. Prof. Lang teaches courses in digital systems and advises students on final theses in related fields. His research infrastructure includes the Basys3 FPGA board, with synthesized designs available for practical implementation.

Giovanni Beltrameمشاهده پروفایل

استاد

• Intelligent Systems
• Embedded Systems
• Aerospace
• +۱ مورد دیگر

Giovanni Beltrame is a Professor at Polytechnique Montréal's Department of Computer and Software Engineering, where he directs the MIST Laboratory. His work bridges academic research and aerospace engineering applications. Education: M.Sc. in Electrical Engineering and Computer Science, University of Illinois, Chicago (2001) Laurea in Computer Engineering, Politecnico di Milano (2002) MS in Information Technology, CEFRIEL, Milan (2002) Ph.D. in Computer Engineering, Politecnico di Milano (2006) Research Focus: His work spans four interconnected domains: Intelligent Systems (swarm robotics, distributed planning, SLAM), Embedded Systems (hardware/software modeling and verification), Aerospace (avionics, radiation-hardened systems), and Optimization (multi-objective algorithms, parallel programming). These areas converge in space-system applications and fault-tolerant computing. Leadership: As Principal Investigator, he leads multiple government and industry-funded projects. He actively recruits researchers through the MIST Laboratory's structured onboarding process, requiring candidates to demonstrate prior engagement with lab materials. Teaching: He instructs specialized courses including Swarm Intelligence (INF6593ME) and Space Systems Computing (AER8300), covering topics from microprocessor architecture to spacecraft data processing design. Lab Operations: The MIST Laboratory serves as the hub for his research activities, with documented procedures for student recruitment and project collaboration in swarm intelligence and embedded aerospace systems.

Rainer Lienhartمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Rainer Lienhart is a tenured Professor at the University of Augsburg, where he holds the Chair for Machine Learning & Computer Vision within the Faculty of Applied Computer Science's Institute of Computer Science. He has served as the executive director of the Institute for Computer Science since April 2010. His research group, the Machine Learning and Computer Vision Lab (MLCV Lab), focuses on large-scale image, video, human pose, sensor and data mining algorithms; object, human pose and action detection/recognition; and image, video, human pose and action retrieval. Dr. Lienhart received his PhD in Computer Science from the University of Mannheim, Germany in 1998. Prior to joining the University of Augsburg, he worked as a Staff Researcher at Intel's Microprocessor Research Lab in Santa Clara, California from August 1998 to July 2004. He has also taken sabbaticals at FXPAL (August 2017 to March 2018) and Willow Garage (2009). His research spans multiple areas of computer vision and machine learning with particular emphasis on object detection/recognition, human pose estimation, image/video captioning, automated visual inspection, medical image analysis, deep learning, statistical computing, and explainable AI. His work on multimedia data mining and signal processing has led to significant contributions in video content analysis, including text detection/recognition, commercial detection, face detection, shot and scene detection, and automatic video abstraction. The publication record shows a consistent research trajectory focusing on human pose estimation, winter sports analysis, scene graph generation, and segmentation techniques, with recent work emphasizing transformer-based architectures, 3D pose estimation, and physics-informed computer vision approaches. His research demonstrates a strong interdisciplinary focus, connecting computer vision with sports science, medical applications, and multimedia content analysis. Prof. Lienhart has served as general co-chair of ACM Multimedia 2017 and 2007, as well as SPIE Storage and Retrieval of Media Databases 2004 and 2005. He has served on editorial boards of three international journals and was vice chair of SIGMM from July 2009 to June 2017. His professional service includes committee membership for major conferences including ACM Multimedia, IEEE ICME, and SPIE Storage and Retrieval of Media Databases. His laboratory, the MLCV Lab, maintains an active research program with numerous collaborators and students working on cutting-edge computer vision problems. Current research directions include human pose estimation in sports contexts, winter sports equipment segmentation, scene graph generation, and medical image analysis applications.

Marius Rosenbaumمشاهده پروفایل

مدرس

• Embedded Systems
• Avionics
• Flight Control Systems
• +۳ مورد دیگر

Dr. Marius Rosenbaum is a Lecturer at the Faculty of Mathematics and Computer Science of FernUniversität in Hagen. Located in Room H113, Building 3, he teaches courses including Application-Oriented Microprocessors, Embedded Systems, FPGA programming, and seminars on Modeling/Simulation and Aviation Digitalization. His examinations are conducted in written format. Research interests focus on aviation technology and embedded systems, with emphasis on: Flight assistance systems (glide path calculation, emergency landing field detection) AI applications in avionics (neural networks for traffic forecasting) Distributed computing (Kubernetes-based neural architecture search) Sensor-based guidance systems (Lidar, multi-modal image processing) His publications (2017-2025) demonstrate strong thematic coherence around aviation safety systems, integrating computer vision, path planning algorithms, and machine learning. Recent works explore mixed reality interfaces for pilot assistance and real-time glide path optimization. He actively supervises student theses, with 2024 projects including electric skateboard control systems, flight simulator plugins, speech recognition for air traffic, and ARM processor design. Collaborative research involves colleagues like Wolfgang Schiffmann and Alexander Klos in projects spanning emergency landing systems and neural architecture frameworks.

Matthias Fertigمشاهده پروفایل

استاد

• Digital Systems
• Microprocessor Architecture
• VHDL Design
• +۶ مورد دیگر

Professor Matthias Fertig serves as Professor of Digital Systems at the Faculty of Electrical Engineering and Information Technology, Konstanz University of Applied Sciences. His academic profile bridges theoretical research with practical engineering applications in digital systems design. His research portfolio spans several critical domains: Near-/In-Memory Computing (Universal Memory Automata theory) Digital HDL Design methodology (RAPID VHDL package development) Massively Parallel EM-Simulation optimization Computational Optics using advanced Fourier methods (WPM/VWPM) ASIC design and implementation workflows Prior to academia, Professor Fertig gained substantial industry experience at IBM (microprocessor design), Dialog Semiconductor (Power Management ICs), and Volvo Construction Equipment (control systems for heavy machinery). This background informs his practical teaching approach that emphasizes real-world applications alongside theoretical foundations. His professional recognition includes an invitation to join the Editorial Board of the American Journal of Computer Science and Technology (AMJCST) in May 2025. Professor Fertig actively develops new course content, with a 'uProcessor Architecture' course scheduled for summer term 2026. He teaches across the curriculum from undergraduate Digital Engineering courses through specialized Master's level laboratories in Silicon Photonics and Electromagnetic Simulation, utilizing industry-standard Cadence tools to provide students with professional design experience.

Rainer Höckmannمشاهده پروفایل

پژوهشگر

• Digital Technology
• Microprocessor Systems
• FPGA Accelerators
• +۴ مورد دیگر

Rainer Höckmann is a Researcher at the Laboratory for Digital and Microprocessor Technology , part of the Faculty of Engineering and Computer Science at Osnabrück University of Applied Sciences . Since 2008, he has focused on digital systems, FPGA accelerators, and wireless network concepts. Education: Diplom-Ingenieur (FH) in Computer Science (2006) Research interests include: Digital and microprocessor technology FPGA-based hardware acceleration Embedded microcomputing systems Compiler construction and sensor technology Wireless network relaying strategies Quality-of-service mechanisms in telecom networks His publication trends show expertise in: Cooperative relaying topologies Multimedia broadcasting enhancements Portable FPGA design frameworks Next-gen network concepts Teaching activities include: Bildgebende Sensortechnik Compilerbau Digitaltechnik Embedded Systems Hardware/Software Co-Design Rechnerarchitektur Professional projects : HPVis visual data project (2012-2014) C-MOBILE (mobile multicast/broadcast) C-CAST (context-dependent data transport)

• Computer Architecture
• VLSI Design
• Hardware Testing and Verification
• +۳ مورد دیگر

Subhasish Mitra is a Professor in the Department of Electrical Engineering and by courtesy in Computer Science at Stanford University’s School of Engineering. His pioneering work focuses on creating robust, error-tolerant hardware systems through the Resilient Silicon paradigm, addressing critical challenges in modern microprocessors and memory design. Education Ph.D. in Electrical Engineering, Stanford University, 1999 B.Tech. in Electrical Engineering, Indian Institute of Technology Kharagpur, 1994 His research spans Computer Architecture , VLSI Design , and Hardware Security , with breakthroughs in defect-tolerant circuits and aging-induced error mitigation. Mitra’s work bridges theoretical innovation and industrial adoption, notably in Intel’s high-volume manufacturing processes. Key recognitions include: IEEE Fellow (2015) for “contributions to design and test of robust microprocessors” ACM Fellow (2015) for foundational reliability frameworks Phil Kaufman Award (2020), EDA’s highest honor He leads Stanford’s Robust Systems Group with sustained funding from NSF, DARPA, and semiconductor industry partners, driving next-generation secure hardware for AI accelerators and IoT devices.