جست‌وجوی استاد و پژوهشگر

Marco Liessمشاهده پروفایل

پژوهشگر

• SmartNIC Development
• 6G Networking
• FPGA-based Networking
• +۴ مورد دیگر

Marco Liess serves as a Scientific Staff Member and doctoral candidate at the Chair of Integrated Systems within the TUM School of Computation, Information and Technology. His work focuses on hardware aspects of network interfaces and processing resources, with particular emphasis on SmartNIC development for next-generation networking systems. The chair participates in multiple research initiatives including the 6G Future Lab Bavaria and 6G Life projects. Dr. Liess holds a Master of Science in Electrical Engineering and Information Technology from TUM (2019-2021), with specialization in Embedded and Control Systems. His master's thesis on 'Frame Synchronization for Satellite-based IoT Applications' was completed at the German Aerospace Center (DLR). Previously, he earned a Bachelor of Science in the same field (2016-2019), focusing on Communication Networks, Embedded Systems, and Security, with his bachelor's thesis on 'Efficient Key Establishment for IoT Applications' conducted at Fraunhofer AISEC. His research primarily investigates hardware acceleration of data paths between network interfaces and processors, memory bottleneck avoidance, dynamic power management, and efficient hash algorithms. These interests align with current 6G research directions focusing on deterministic real-time processing for mission-critical applications. His work bridges hardware design (particularly FPGA implementations), operating system interactions, and networking protocols to create energy-efficient, high-performance network processing solutions. Analysis of his publication record reveals strong focus on SmartNIC architectures, with consistent contributions to major conferences in networking and computer architecture. His work demonstrates progression from satellite IoT communications toward advanced packet processing pipelines and real-time networking solutions for 6G infrastructure. Key themes include hardware-software co-design, power efficiency, and deterministic performance guarantees for time-sensitive networking applications. As an academic supervisor, Dr. Liess actively mentors students through various thesis projects ranging from FPGA-based network testers to Linux scheduler optimizations. His teaching responsibilities include 'Chip Multicore Processors' since SS 2024 and previously supervised 'Seminar Integrierte Systeme' and 'Seminar on Topics in Integrated Systems' from WS 2022/23 to WS 2023/24. Current projects under his supervision address critical challenges in 100Gbps networking, hardware tracing mechanisms, and server state tracking using SmartNIC technology.

• Computing-in-Memory
• Resistive RAM (RRAM) Technology
• Neuromorphic Computing
• +۷ مورد دیگر

Dr. Moritz Joseph serves as Professor and Chair of Software for Systems on Silicon at RWTH Aachen University's School of Electrical Engineering and Information Technology. His research group operates within the Institute for Communication Engineering (ICE), focusing on cutting-edge hardware architectures for next-generation computing systems. The chair maintains laboratory facilities in the ICT Cube 1 building at Kopernikusstr. 16 in Aachen, Germany. Professor Joseph's research spans Computing-in-Memory architectures , Resistive RAM technologies , and neuromorphic computing systems . His work addresses critical challenges in hardware acceleration for deep learning, with particular emphasis on reliability, security, and energy efficiency of novel memory-centric computing paradigms. His research bridges computer architecture, hardware security, and machine learning acceleration. Analysis of his recent publications reveals a strong focus on RRAM-based compute-in-memory systems, with increasing attention to security implications of thermal effects and side-channel attacks. His work demonstrates progression from fundamental memory characterization to system-level integration and security analysis, showing consistent innovation in memory-centric computing architectures over the past five years. Professor Joseph actively contributes to the development of simulation frameworks and evaluation methodologies for emerging memory technologies, as evidenced by his work on platforms like CIM-Explorer, Ratatoskr, and gem5 extensions. His research has significant implications for energy-efficient AI hardware and secure computing systems.

Safdar Mahmoodمشاهده پروفایل

استاد

• Machine Learning
• Reconfigurable Computing
• Robotics
• +۳ مورد دیگر

Professor Safdar Mahmood is a faculty member in the Department of Computer Engineering at Brandenburg University of Technology Cottbus-Senftenberg. His research focuses on machine learning, reconfigurable computing, robotics, and embedded systems with applications in FPGA acceleration, biomedical signal processing, and safety-critical systems. He leads projects in the UBICO team and has contributed to hardware-software co-design frameworks for AI applications. Research interests include domain-specific processor architectures, high-level synthesis for CNNs, and FPGA-based implementations of robotics algorithms. Recent work addresses challenges in landmine detection using deep learning, autonomous medical robotics, and spectroscopic data analysis. Notable contributions include a design-space exploration framework for machine learning accelerators and tooling for Tensilica ASIP architecture exploration. His work frequently bridges theoretical computer science with practical hardware implementations in reconfigurable systems. Advising includes mentoring doctoral candidates such as Dr. Mitko Veleski and Dr. Stefan Scharoba. He is affiliated with the Computer Engineering Group and has collaborated on projects like the InjectMeAI humanoid injection system and GPR-based landmine detection frameworks.

Shahram Rasoolzadehمشاهده پروفایل

پژوهشگر

• Symmetric Cryptography
• Cryptanalysis
• Boolean Functions
• +۴ مورد دیگر

Dr. Shahram Rasoolzadeh is a researcher in symmetric cryptography at Ruhr University Bochum's Faculty of Computer Science, specifically within the Chair for Symmetric Cryptography. He previously held post-doctoral positions at Radboud University and Ruhr University Bochum, and conducted PhD research at the HGI institute. His expertise spans cryptographic primitive design, Boolean function analysis, and embedded security. Education: PhD in Electrical Engineering (Symmetric Cryptography & Embedded Security), Ruhr University Bochum (2020) M.Sc. in Electrical Engineering (Cryptography), Sharif University of Technology (2015) B.Sc. in Electrical Engineering (Communication Systems), University of Tabriz (2013) His research focuses on cryptanalysis of symmetric ciphers, Boolean function applications in cryptography, and low-latency cryptographic designs. Notable contributions include the cryptanalysis of HALFLOOP and the design of lightweight block ciphers like CRAFT and SPEEDY. He has received the Best Paper Award at FSE/ToSC 2024 and Intel's Outstanding Research Award 2022. His work often emphasizes practical security in constrained environments and collaborative industry partnerships. Dr. Rasoolzadeh co-organizes significant events like the Spring School on Symmetric Cryptography and contributes to program committees for conferences like EuroCrypt and ASIACRYPT. He has taught courses on symmetric cryptanalysis and calculus/probability theory.

• Computer Science
• Information Security
• Computer Architecture
• +۳ مورد دیگر

Prof. Roland Hellmann is a Professor at the Faculty of Electronics & Computer Science of Hochschule Aalen . He specializes in computer architecture, IT security, and secure hardware design, with a focus on educating students through textbook publications and academic contributions. His research interests include foundational aspects of cybersecurity, modern computer system design, and mitigating vulnerabilities in hardware components. He authored key textbooks such as IT Security: An Introduction (2018), used in bachelor and master-level courses, and multiple editions of Computer Architecture (2013, 2016), which are standard references for hardware-related curricula. Prof. Hellmann’s publications emphasize practical applications, including exercises and solutions for students, ensuring alignment with academic and industrial needs. His work bridges theoretical concepts with real-world security challenges in digital systems.

• Computer Networks
• Cryptography
• Embedded Systems
• +۳ مورد دیگر

Fayez Gebali is a Professor in the Department of Informatics at the University of Bergen. His research focuses on secure communication systems, cryptographic hardware design, and embedded systems. He has contributed extensively to areas such as network security, signal processing, and wireless communication protocols. His work spans theoretical and applied domains, including hardware security for IoT devices, authentication protocols for vehicular networks, and radar signal processing. Key research interests include optimizing cryptographic algorithms for resource-constrained devices, analyzing hybrid communication networks (e.g., FSO/RF), and developing machine learning-based authentication systems for healthcare. He has collaborated with institutions like KAUST (via co-author Mohamed-Slim Alouini) and has published over 130 papers. His recent work emphasizes practical solutions for rural broadband access, satellite security, and combating misinformation in healthcare contexts. Notable contributions: PUFGuard authentication protocol, systolic array designs for modular multiplication, and secure multi-hop mobile communication frameworks. Focus areas: IoT security, radar waveform optimization, and low-power hardware implementations.

Ralf Ramsauerمشاهده پروفایل

پژوهشگر ارشد

• Modern Operating System Architectures
• Embedded Systems
• Embedded Virtualisation / Hardware Partitioning
• +۳ مورد دیگر

Dr.-Ing. Ralf Ramsauer is a postdoctoral researcher at the OTH Regensburg , affiliated with the Systems Architecture Research Group . His work focuses on Modern Operating System Architectures , Embedded Systems , and Mixed-Criticality System Design , with a particular interest in hardware/software co-design and real-time constraints. Academic Rank: Research Fellow Email: ralf.ramsauer@oth-regensburg.de Ramsauer's research explores Embedded Virtualisation , Hardware Partitioning , and Quantum-Classical Co-Design , often leveraging open-source development practices. His publications reveal trends in Database/OS Stack Optimization , Security Vulnerability Analysis , and Real-Time System Evaluation . Scientific Awards: 2013: Best Graduation Award in Computer Engineering, OTH Regensburg He has supervised numerous students across Bachelor's and Master's theses , including work on RISC-V Implementation , Linux Kernel Modules , and Hypervisor Optimization .

Christian Eichlerمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Cyber-Physical Systems
• Embedded Systems
• +۵ مورد دیگر

Christian Eichler is a researcher at Friedrich-Alexander University Erlangen-Nuremberg, affiliated with the Department of Computer Science (INF) and the Chair of Computer Science 4 (System Software). His work focuses on real-time systems, embedded computing, and cyber-physical systems. His research in real-time and embedded systems includes invasive computing frameworks, deterministic I/O management, and energy-constrained system analysis. He has contributed to tools like TASKers and GenEE for benchmarking and timing analysis of real-time software. His publications from 2017-2022 span conferences like HICSS, CCS, ISORC, and workshops on benchmarking, invasive computing, and cyber-physical systems. Key co-authors include Wolfgang Schröder-Preikschat and other researchers from FAU and international institutions.

• Database Systems
• Heterogeneous Computing
• GPU Acceleration
• +۴ مورد دیگر

David Broneske is a Researcher at the Otto von Guericke University of Magdeburg , Germany. His work spans Database Systems , Heterogeneous Computing , and Machine Learning Applications , with a focus on GPU/FPGA Acceleration and Non-volatile Memory (NVM) Optimization . He has contributed to projects like ADAMANT (co-processor integration) and GridTables (H2TAP data stores). Key Research Areas : Database acceleration via specialized hardware, Graph database applications in clinical/biological domains, and AutoML for domain-aware model selection. Collaborations : Frequent co-author with Gunter Saake, Bala Gurumurthy, and Sajad Karim on topics like NVM Storage and GPU-based Query Execution . Publications : Over 105 papers (2012–2025) covering Protein Identification Systems , Entity Resolution , and Software Evolution Datasets . Workshops : Co-organized the Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC) and contributed to standards like Backlogs/Interval Timestamps for temporal graph queries.

• Cryptography
• Hardware Security
• Side-Channel Analysis
• +۳ مورد دیگر

Maël Gay is a Researcher affiliated with the University of Stuttgart at its Hardware-Oriented Computer Science department. His work focuses on cryptographic hardware security, specializing in side-channel analysis, fault injection attacks, and masking schemes. Role: Researcher Department: Hardware-Oriented Computer Science University: University of Stuttgart Research Interests : Maël investigates vulnerabilities in cryptographic hardware through empirical analysis, with recent work on CRYSTALS-Kyber implementations, neural network applications for leakage detection, and robust error-detection masking schemes. His research combines formal methods with practical testing frameworks like TVLA. Publications : His work spans post-quantum cryptography (2025), side-channel countermeasures (2024), and automated fault attack methodologies (2019), often involving collaborations with Ilia Polian and Tarick Welling. Education : Holds a Dr. rer. nat. (Doctorate in Natural Sciences). Labs/Teams : Affiliated with the Hardware-Oriented Computer Science (HoCoS) group at the University of Stuttgart.

Rolf Drechslerمشاهده پروفایل

استاد

• Circuit Design
• System Design
• Formal Verification
• +۵ مورد دیگر

Prof. Dr. Rolf Drechsler is a Full Professor at the University of Bremen since 2001 and Director of the Cyber-Physical Systems Group at DFKI Bremen since 2011. He leads the Computer Architecture working group in the Faculty of Mathematics and Computer Science and previously held adjunct/visiting roles at Duke University, IIT Kharagpur, and ISI Kolkata. Education: Diploma in Computer Science, Goethe University Frankfurt (1992) PhD (summa cum laude), Goethe University Frankfurt (1995) Habilitation, Albert-Ludwigs-University Freiburg (1999) His research focuses on formal verification , design automation , and data structures for circuit/system design , with applications in RISC-V processors , quantum computing , and in-memory computing . Recent studies explore LLM integration in hardware verification and polynomial methods for arithmetic circuits. Key awards include IEEE/ACM Best Paper Awards (ICCAD 2018, DATE 2025), the Berninghausen Prize (2018), IEEE Fellow (2015), and ACM Fellow. He co-founded the Graduate School "System Design" and led editorial roles at IEEE/ACM journals.

David Mendlovicمشاهده پروفایل

استاد

• Optical interconnection networks
• Dynamic optical switches
• Temporal optics
• +۱۵ مورد دیگر

Prof. David Mendlovic is a Full Professor of electro-optics at the School of Electrical Engineering, The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. With a career spanning decades, he has established himself as a leading figure in optical engineering and signal processing, holding significant leadership positions including head of TAU Innovation Labs and board member of the Israel Innovation Authority (IIA). His academic journey began and continued at Tel Aviv University where he earned both B.Sc. and Ph.D. degrees in Electrical Engineering. His professional trajectory includes serving as Chief Scientist of the Israeli Ministry of Science (2008-2010), Co-Chair of the German Israeli Foundation for 6 years, and Vice Dean for Research of the Faculty of Engineering for a decade. Prof. Mendlovic's research spans computational photography for miniature imaging systems, advanced 3-D sensing, AI-based image processing, authentication systems, optical bio-sensing, and deep-fake detection. His work has produced worldwide breakthroughs including hollow fibers for IR transmission, extended depth of field imaging, multi-aperture camera systems, and innovations in the fractional Fourier transform. His recent publications demonstrate continued innovation with emphasis on thermal imaging applications for precision agriculture, dynamic identity authentication, light field photography, and advanced image processing leveraging deep learning approaches across computer vision, optical engineering, and thermal imaging domains. 1998 winner of ICO International Prize in Optics Ernst Abbe Medal by Carl Zeiss Fellow of The Optical Society of America Prof. Mendlovic has successfully translated research into commercial applications through multiple startups including Civcom (acquired by Padtec S/A of Brazil) and Eyesquad (acquired by Tessera Inc, later acquired by Samsung). He has mentored numerous graduate students with thesis topics spanning optical signal processing, diffractive optical elements, and imaging systems. His laboratory work bridges theoretical developments with practical implementations across security, healthcare, agriculture, and consumer electronics applications.

Adrian Sampsonمشاهده پروفایل

دانشیار

• computer architecture
• programming languages
• compilers
• +۴ مورد دیگر

Adrian Sampson is an Associate Professor in the Department of Computer Science at Cornell University's Bowers College of Computing and Information Science. He leads the Capra research group, focusing on breaking down abstraction barriers and rethinking the hardware-software interface. Prior to his current position, he served as an Assistant Professor at Cornell University from 2016 to 2022 and completed his Ph.D. at the University of Washington in 2015 under advisors Luis Ceze and Dan Grossman. His research spans computer architecture, programming languages, and compilers, with a notable focus on approximate computing—the concept that computers can be more efficient if allowed to make controlled mistakes. Sampson has made significant contributions to hardware acceleration, FPGA programming, and type systems for heterogeneous computing. His work bridges the gap between software abstractions and hardware realities, particularly in the realm of accelerator design languages. The publications reveal a consistent trajectory in hardware-software co-design, with recent work focusing on predictable accelerator design, timeline types for hardware description, and geometry types for graphics programming. His research group has produced influential work on tools like Dahlia, a programming language that uses type systems to restrict high-level synthesis programs to subsets with predictable semantics and performance. Cornell Bowers CIS Ann S. Bowers Research Excellence Award (2024) Cornell Bowers CIS Computer Science Faculty of the Year (2024) Distinguished Artifact Awards (ASPLOS 2023, 2024) IEEE TCCA Young Computer Architect Award (2021) NSF CAREER award (2019) Google Faculty Research Award (2016) Sampson has advised numerous Ph.D. students whose dissertations cover topics like geometry types for graphics programming, lightweight formal methods, and compiler-driven autovectorization. His research has been supported by prestigious organizations including NSF, Google, and Microsoft Research. He serves on numerous program committees and has held leadership roles in the computer architecture and programming languages communities, including serving on the ACM SIGARCH Board of Directors.

• System Security
• Automatic Software Testing
• Threat Mitigation
• +۶ مورد دیگر

Dr. Flavio Toffalini serves as Assistant Professor of Cybersecurity at Ruhr University Bochum (RUB) since September 2024, holding the Chair for Automated Security Analysis. His research group focuses on advancing system security through innovative approaches to software testing and trusted computing. Dr. Toffalini completed his Ph.D. at Singapore University of Technology and Design (SUTD) in 2021 under Professor Jianying Zhou, followed by postdoctoral research at EPFL's HexHive group with Professor Mathias Payer. His educational background includes a Master's degree from the University of Verona (2015) focused on web security. His research centers on system security with emphasis on automatic software testing (particularly fuzzing), threat mitigation, and trusted execution environments (SGX, TrustZone). Current projects explore browser/interpreter testing, memory safety mechanisms, and compiler-assisted security hardening. He actively develops novel fuzzing techniques to uncover deep vulnerabilities in complex systems. Analysis of his 2023-2025 publications reveals dominant themes in JavaScript engine security (DUMPLING), adaptive fuzzing (TuneFuzz), and trusted computing hardening (TLBlur). His work bridges theoretical security concepts with practical implementations, often yielding tools adopted by the security community. Notable scientific recognition includes: Distinguished Paper award at NDSS 2025 for JavaScript engine fuzzing research Distinguished Paper award at NDSS 2025 for type confusion mitigation Best Paper award at ACNS 2022 for IoT attestation systems Dr. Toffalini currently supervises three Ph.D. students (Tobias Wienand at RUB, Nicolas Badoux and Han Zheng at EPFL) and has guided multiple MSc theses. His research is supported through projects in software analysis, vulnerability detection, and system security, with active recruitment for students specializing in fuzzing and trusted computing. He leads the Automated Security Analysis research group at RUB, maintaining strong collaborations with EPFL's HexHive group. The team actively develops tools for interpreter testing, reverse engineering, and trusted execution environment security, with current projects focusing on extending fuzzing to new programming languages and mitigating microarchitectural vulnerabilities.

Martin Salingaمشاهده پروفایل

استاد

• Phase-Change Materials
• Amorphous Semiconductors
• Resistive Switching Materials
• +۷ مورد دیگر

Prof. Dr. Martin Salinga leads the research group at the Institute of Materials Physics , University of Münster. His work focuses on the dynamics of resistive switching materials, particularly phase-change materials, and their applications in novel electronic and photonic devices. He collaborates with institutions like IBM Zurich, the Pernice group, and European research centers. Investigates structural and electronic behavior of amorphous semiconductors Develops neuromorphic and in-memory computing hardware Utilizes ultrafast optical experiments and ab initio simulations Research Interests center on understanding how atomic configurations influence electrical properties in phase-change materials. His group explores non-equilibrium states, switching kinetics, and material optimization for applications in: Neuromorphic processors High-speed data storage Photonic waveguides Temperature-activated structural dynamics His Publications highlight advancements in phase-change material modeling, ultrafast switching mechanisms, and atomic-level insights into resistance drift. Key trends include leveraging density functional theory for nanoscale transport analysis and optimizing materials for adaptive nanosystems. Scientific Awards include an ERC Starting Grant for the NEURAMORPH project, supporting the development of neuromorphic hardware. He also secured funding through DFG Collaborative Research Centers Intelligent Matter (CRC 1459) and Nanoswitches (CRC 917). ERC grant: €1.5 million for synaptic component design DFG CRC 1459: Millions in funding for adaptive nanosystems IAPP DIASPORA: Industry-academia collaboration with IBM Team members like Nils Holle (summa cum laude PhD) and Sebastian Walfort (EDISON Young Researcher Award) contribute to projects on atomic simulations and optical measurements, while the Characterization Lab enables experimental validation of material properties.