جست‌وجوی استاد و پژوهشگر

Daniele Ottavianoمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Embedded Systems
• Virtualization
• +۴ مورد دیگر

Daniele Ottaviano is a Researcher at the Technical University of Munich (TUM) , affiliated with the Faculty of Mechanical Engineering and the Chair of Cyber-Physical Systems in Production Engineering . His work focuses on real-time virtualization , mixed-criticality systems , and embedded systems , particularly in optimizing memory hierarchies and managing heterogeneous processing elements including FPGA-based architectures . Education : Ph.D. in Fusion Science and Engineering (University of Padua & University of Naples Federico II, 2025), M.Sc. in Computer Engineering (University of Naples Federico II, 2021), B.Sc. in Computer Engineering (University of Naples Federico II, 2019). Prior Role : Visiting Researcher at Boston University's Cyber-Physical Systems Lab (2023-2024). His research investigates cache partitioning techniques , real-time virtualization for MPSoCs , and FPGA integration to enhance performance, isolation, and predictability in embedded systems. Publications highlight contributions to hypervisor optimization , container orchestration , and virtualization frameworks for mixed-criticality environments.

• Embedded Machine Learning
• Neural Architecture Search
• Signal Processing
• +۴ مورد دیگر

Christopher Ringhofer serves as a Researcher and PhD candidate at the Intelligent Embedded Systems department within the Faculty of Engineering and Computer Science at the University of Duisburg-Essen since April 2020. His work focuses on developing energy-efficient AI solutions for embedded platforms with current projects funded by the German Federal Ministry of Education and Research. He earned his BSc in Applied Informatics (2017) and MSc in Distributed Dependable Systems (2020) from the same institution, following three years of industry experience in IoT development at ithinx GmbH. His doctoral research centers on automated neural architecture search for signal processing on constrained devices. Ringhofer's research explores evolutionary algorithms for constructing latency-optimized neural networks targeting microcontrollers and embedded FPGAs, with primary applications in digital audio processing for studio/live environments. His work bridges hardware constraints with deep learning requirements through techniques like precomputed convolutional layers and hardware-aware NAS. He actively contributes to academic instruction through the Bachelor's course 'Embedded Systems' and specialized student projects on 'AI-based Neurosignal Processing', maintaining consistent teaching involvement since Winter Semester 2020/21. Current research projects include 'TransfAIr: Transfer Approaches for Artificial Intelligence in Industry' (since May 2024) and previous work on 'LUTNet' and 'KI-LiveS' initiatives. His technical contributions focus on the IoT Garage infrastructure and Elastic AI ecosystem development for pervasive computing environments.

• 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.

Christian Zengerمشاهده پروفایل

استاد

• IoT Security
• Wireless Communication Security
• Physical-Layer Security
• +۳ مورد دیگر

Prof. Christian Zenger is a Junior Professor at Ruhr University Bochum's Faculty of Electrical Engineering and Information Technology, leading the Secure Mobile Networking department. He co-founded PHYSEC GmbH in 2015, developing anti-tamper radio technology for IoT security, recognized with awards from MIT, BMWi, and ECSO. His academic roles include previous positions as a Lecturer and Post-Doc researcher at Ruhr University, alongside board memberships and advisory roles in cybersecurity and water management sectors. Education: PhD in Electrical Engineering (Ruhr University Bochum, 2013–2017) Research: Focuses on IoT security, wireless systems, nuclear disarmament, and start-up ecosystems. His work bridges academic research with industrial applications, highlighted by PHYSEC's commercial success. Publications: Over 30 peer-reviewed articles since 2013, emphasizing physical-layer security, 6G vulnerabilities, and tamper detection mechanisms. Notable recent work includes anti-tamper radio systems and reconfigurable intelligent surfaces. Awards: MIT Award (2023), BMWi Innovation Prize (2022), and ECSO Security Excellence Award (2021). Advisory Roles: Member of Competence Center Digital Water Management’s Advisory Board and Cube 5’s Technical Board, reflecting his interdisciplinary impact. His lab, Secure Mobile Networking, collaborates with the Horst Görtz Institute for IT Security and promotes start-up culture through academic mentorship.

• Robotics
• Autonomous Systems
• Machine Learning
• +۳ مورد دیگر

Prof. Dr. Ulrich Schrader serves as a Professor in the Faculty of Computer Science and Engineering at Frankfurt University of Applied Sciences, where he has been affiliated since 1998. He is a core member of the FUTURE AGING Research Center dedicated to developing autonomous mobile assistance robots that empower elderly individuals and people with disabilities to live independently through advanced task execution systems. His research spans critical robotics domains with practical healthcare applications: Autonomous navigation in variable and unstructured environments Independent gripping and handling of objects using robot arms Intelligent sensors and image processing for environmental perception Learning systems and machine decision-making frameworks Human-robot interaction design principles Prof. Schrader teaches specialized courses including Autonomous Intelligent Systems, Embedded Intelligent Systems, Robotics and autonomous systems, and Microcontroller technology, directly translating his research into educational practice. His work emphasizes real-world implementation of robotic solutions for assisted living, focusing on unstructured environment adaptability and user-centered interaction design.

Michael Rekeمشاهده پروفایل

استاد

• Autonomous Vehicles
• Vehicle Software Engineering
• Functional Safety (ISO 26262)
• +۶ مورد دیگر

Prof. Michael Reke is a Professor at the Institute for Mobile Autonomous Systems and Cognitive Robotics (MASKOR) within Aachen University of Applied Sciences' Department of Electrical Engineering and Information Technology. He chairs the Audit Committee and teaches courses on vehicle software, digital technology fundamentals, and functional safety (ISO 26262). His research focuses on autonomous driving, mining automation, V2X communication, and sensor systems, with a strong emphasis on practical applications through projects like the modified KIA Niro autonomous vehicle. His work bridges academic research with industry needs, addressing challenges in safety, embedded systems, and real-world implementation. Research interests include autonomous vehicle navigation, fleet management in unstructured environments (e.g., mining), and the integration of advanced sensor technologies like LiDAR. He collaborates with industry partners such as ETAS GmbH and APIS Informationstechnologien to develop tools and methodologies for automotive software development. His teaching modules emphasize hands-on laboratory work, including model-based design, microcontroller programming, and functional safety protocols. Key publications from 2020-2024 explore topics like operational design domains, teleoperation systems, and lifelong mapping approaches for autonomous systems. His work addresses both technical and legal challenges in deploying autonomous vehicles, emphasizing practical solutions for industry adoption. No scientific awards are explicitly mentioned, though his contributions to automotive engineering education and research are highlighted through ongoing projects and curriculum development.

Volodymyr Voitenkoمشاهده پروفایل

پژوهشگر

• Control Systems
• Unmanned Aerial Vehicles (UAVs)
• Image Processing
• +۷ مورد دیگر

Volodymyr Voitenko is a researcher in the Department of Automatic Control at the Faculty of Engineering, Lund University, Sweden, where he joined in June 2022. His work is focused on control systems, UAV technology, and real-time image analysis. He is currently leading a project funded by The Crafoord Foundation, co-financed by Scholars at Risk Sweden, on a subsystem for two-coordinate positioning of UAV auxiliary cameras (2DCAM), continuing prior work under a KAW grant. His research interests lie at the intersection of control engineering, robotics, and digital image processing. He has extensive experience in microprocessor-based control systems, having developed and taught courses such as Microcontrollers, Digital Image Processing, and Software for Robotic Systems at Chernihiv Polytechnic National University. His expertise includes pattern recognition, real-time embedded systems, and automation technologies. The available publications indicate a strong focus on accelerating image analysis from UAVs, reflecting trends in autonomous systems, real-time computing, and embedded vision. His work emphasizes practical implementations in robotics and control, particularly for improving processing speed and system responsiveness. Scientific awards: Dr. Voitenko has been involved in externally funded research projects, including grants from The Crafoord Foundation and the Knut and Alice Wallenberg Foundation. He has also received support through Scholars at Risk Sweden, which co-finances his current project. While no formal advising roles are listed, his prior role as a course developer and tutor indicates experience in academic supervision and student mentorship. He is affiliated with the Department of Automatic Control at Lund University, a leading research environment in systems, control, and robotics. His work aligns with broader initiatives in autonomous systems and real-time computing at the university.

• Embedded Systems
• Cyber-Physical Systems
• Computer Engineering
• +۴ مورد دیگر

Prof. Dr. Volker Strumpen is a faculty member at Hochschule Rhein-Waal, affiliated with the Faculty of Communication and Environment, where he specializes in Embedded Systems. He holds the academic rank of Professor and is based at the Kamp-Lintfort Campus. His research and teaching focus on embedded and cyber-physical systems, with applications in real-time computing, microcontroller-based design, and Internet of Things technologies. Given his departmental affiliation, his work likely bridges communication technologies and environmental system integration. No recent publications or scientific awards were listed in the source material. He advises students in engineering disciplines related to embedded systems, though specific advisees are not mentioned. There is no indication of external grants or funded projects in the provided text. He is associated with the Embedded Systems research group within the Faculty of Communication and Environment, which may involve interdisciplinary work in smart environments and sustainable technology integration.

Ralf Brederlowمشاهده پروفایل

استاد

• Integrated CMOS Circuit Design
• Intelligent Sensor Systems
• Analog and Digital Circuits
• +۳ مورد دیگر

Prof. Ralf Brederlow is a Professor and Chair of Circuit Design at the Technische Universität München (TUM), affiliated with the TUM School of Computation, Information, and Technology. He also serves as a consultant at the Fraunhofer Institute for Integrated Circuits (IIS). His research focuses on integrated CMOS circuits, intelligent sensor systems, and energy-efficient microelectronics. Academic career: Studied physics at Universität Würzburg and TU Munich, earned a doctorate in electrical engineering through a Siemens-TU Berlin collaboration. Held roles at Infineon, Texas Instruments (TI), leading projects like the ultra-low-power MSP430 microcontroller family and intelligent sensor research at TI’s Kilby Labs. Established TUM’s Circuit Design Chair in 2019. Key research areas include analog/digital circuit design, AI-driven sensor systems, and IoT applications. His work emphasizes energy efficiency, robust sensor architectures, and low-power electronics. Notable awards include the 2019 VLSI Circuits Symposium Best Student Paper Award and multiple industrial accolades for groundbreaking contributions to energy-harvesting technologies and low-power microcontrollers.

• Brain-Computer Interfaces
• Signal Processing
• Digital Image Processing
• +۳ مورد دیگر

Prof. Dr.-Ing. Ivan Volosyak is a Professor at Hochschule Rhein-Waal – University of Applied Sciences, where he leads research in biomedical engineering and brain-computer interfaces. He began his academic career with a Diploma in automation and control systems from Dnepropetrovsk State University, Ukraine, followed by a Ph.D. in electrical engineering from the University of Bremen, Germany. At the University of Bremen, he developed project management expertise through leadership roles in national and EU-funded initiatives, complemented by visiting positions at Graz University of Technology (Austria) and Glasgow University (UK). Education: Diploma in Automation and Control of Technical Systems, Dnepropetrovsk State University, Ukraine Ph.D. in Electrical Engineering, University of Bremen, Germany His research focuses on brain-computer interfaces, signal processing, and assistive technologies, particularly for spinal cord injury rehabilitation. He co-supervises 3 PhD students with Radboud University (Netherlands) and Bielefeld University (Germany), and teaches microcontroller and microprocessor courses that emphasize industry readiness and student independence. In his lab, he fosters a dynamic, action-oriented environment. Outside academia, he maintains a sharp mind through chess and enjoys family time. His work ethic and technical leadership are evident in projects like ABCI, EBCI, BCI@Home, and M³S, which highlight his expertise in third-party funded research initiatives.

Eberhard Binderمشاهده پروفایل

استاد

• Mechatronics
• Embedded Systems
• Automotive Electronics
• +۴ مورد دیگر

Prof. Dr. rer. nat. Eberhard Binder is a faculty member at Reutlingen University , serving as the Studiengangsleitung/Prodekan Mechatronik (Head of Study Program/Pro-Dean for Mechatronics). He is affiliated with the School of Engineering and actively involved in research areas related to Embedded Systems, Automotive Electronics, and System Simulation . Contact details: Office located in Building 4, Room 218 , reachable at +49 7121 271 7028. Office hours are held every Thursday from 10:00 to 11:00 AM. Research Focus : Embedded Systems and Microcontroller Applications Automotive Bus Systems and Automotive Informatics System Simulation and Electronics Drives Labs and Work Areas : Laboratory for Microcomputers Microcontroller Systems Automotive Bus Systems Automotive Informatics System Simulation

Maron Schlemonمشاهده پروفایل

پژوهشگر

• High-Performance Computing
• Parallel Programming
• Synthetic Aperture Radar
• +۷ مورد دیگر

Maron Schlemon is a Ph.D. candidate and Researcher at the Technical University of Munich (TUM), affiliated with the Chair of Computer Architecture and Parallel Systems . He also serves as the CEO of IT4Medic since January 2023, leading embedded software projects and IT infrastructure development. Education: M.Sc. in Industrial Engineering / Computer Science (April 2016 – September 2017), Braunschweig University of Technology , Final Grade: Excellent (GER: 1.5) Maron’s research focuses on High-Performance Computing (HPC) , Parallel Programming , and Synthetic Aperture Radar (SAR) processing, particularly optimizing algorithms for embedded and resource-constrained systems. His work bridges Hardware-Software Co-Design , LoRaWAN Applications , and STM32 Micro-Controller Programming . Recent publications highlight trends in FPGA Acceleration , On-Board SAR Image Processing , and Real-Time Systems for aerospace applications, reflecting expertise in integrating Embedded Systems with HPC Architectures . He received the Outstanding Paper Award from IEEE HPEC in 2022 for SAR optimization work. Awards & Honors: Outstanding Paper Award, IEEE High Performance Extreme Computing Conference, 2022 Projects & Software: Maron contributes to ongoing initiatives like SEANERGYS (EuroHPC) , PlasmaPEPS , and Q-DESSI (MQV) , while developing tools such as autopin , QMPI , and SWEET . His work extends to HPC assessments at the Munich Supercomputing Center (LRZ) and collaboration with the German Aerospace Center (DLR) since 2018.

• Side-channel attacks
• Post-Quantum Cryptography
• Cryptographic implementations
• +۳ مورد دیگر

Thomas Schamberger is a Researcher at the Chair of Information Security at Technical University of Munich, working under Prof. Dr.-Ing. Georg Sigl. He is based at Theresienstr. 90 in Munich and maintains an active research profile in cryptographic security with numerous publications spanning from 2018 to 2023. His primary research interests focus on side-channel attacks (particularly power analysis and electromagnetic analysis) targeting post-quantum cryptographic systems . He investigates efficient and secure implementations of post-quantum algorithms and develops countermeasures against side-channel vulnerabilities. His work bridges theoretical cryptography with practical hardware implementations. Analysis of his publication record from 2018-2023 reveals a strong focus on post-quantum cryptography security, with particular attention to NTRU, HQC, and Kyber cryptosystems. His research consistently addresses both attack methodologies (side-channel and fault attacks) and defensive countermeasures (masking techniques, DOMREP). The publications demonstrate expertise spanning hardware implementations, microcontroller security, and machine learning applications in side-channel analysis. While no specific scientific awards are mentioned in the available information, his work appears in prestigious venues including IEEE Transactions on Information Forensics and Security, IACR Transactions on Cryptographic Hardware and Embedded Systems, and major international conferences like CBCrypto and COSADE. Thomas actively supervises student research, offering opportunities for bachelor's and master's theses in his research areas. His position at the Chair of Information Security places him within TUM's broader research ecosystem focused on hardware security, cryptographic implementations, and countermeasures against physical attacks.

Jörg Vogtمشاهده پروفایل

استاد

• Computer Networks
• Communication Systems
• Internet Technologies
• +۵ مورد دیگر

Prof. Dr.-Ing. Jörg Vogt serves as Professor for Computer Networks / Communication Systems at the Faculty of Computer Science and Mathematics, Dresden University of Applied Sciences. His office is located in room Z361 with contact number +49 351 462 2491, and office hours are specified on his homepage. His research and teaching focus on network infrastructure and real-time systems, with particular expertise in internet protocols, distributed computing, and embedded systems. Current teaching activities include core courses across multiple degree programs including Computer Science, Media Informatics, and Business Informatics. Prof. Vogt actively supervises thesis work in communication systems, with detailed research topics and supervision opportunities available through his institutional homepage. His teaching portfolio demonstrates strong emphasis on practical implementation of networked systems across undergraduate and graduate levels. Current academic responsibilities include coordination of mandatory modules for seven distinct degree programs, with special focus on time-critical applications in industrial contexts. His laboratory work appears centered around sensor networks and microcontroller programming within applied informatics specializations.

Tobias Ellermeyerمشاهده پروفایل

استاد

• Embedded Systems
• Microcontrollers
• Electronics
• +۶ مورد دیگر

Prof. Dr.-Ing. Tobias Ellermeyer has been a Professor of Microcomputer Technology/Mechatronics at the Department of Mechanical Engineering, South Westphalia University of Applied Sciences (FH Südwestfalen), since October 2011. He specializes in embedded systems, microcontrollers (STM32, ARM Cortex, ESP32), electronics, and digital technology with a focus on hardware-related applications, brownfield systems, data acquisition (e.g., Raspberry Pi), smart sensors, and transmission protocols (MQTT, NB-IoT, LTE-M, Thread, Matter). His career spans roles as a Project Leader at Keysight Technologies (formerly MICRAM Microelectronic GmbH, 2002-2011), Design Engineering Manager at Multilink GmbH (2002), and Scientific Staff Member at Ruhr-Universität Bochum (1997-2001). He earned his Dipl.-Ing. and Dr.-Ing. degrees in Electrical Engineering and Information Technology from Ruhr-Universität Bochum (1997 and 2002, respectively), with a dissertation on monolithically integrated eye-opening analyzers for high-bit-rate fiber optic systems. Ellermeyer's research centers on high-speed digital/analog conversion systems (≥10 Gb/s), SiGe/CMOS integrated circuits, and automated test equipment (ATE) development. His publications highlight advancements in DACs, OFDM, multicarrier transmission, and Tb/s optical networks.