جستجوی استاد راهنمای دانشگاهی

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.

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

Prof. Andrea Benigni is a Professor and Director at the Research Center Jülich GmbH, leading the Energy System Technology (ICE-1) department within the Institute of Climate and Energy Systems (ICE). His work focuses on advanced simulation tools for multi-energy systems, power grid optimization, and real-time control solutions. Key research areas include: Multi-energy system integration (power, gas, thermal) High-performance simulation frameworks (e.g., GasNetSim, HeatNetSim) Quantum computing applications for grid partitioning Hydrogen blending in gas networks Hardware-in-the-loop testing for control architectures PMU-based fault detection and grid resilience Benigni has pioneered open-source tools like HeatNetSim and contributed to FIWARE-based ICT platforms for building/district-level energy systems. His recent work emphasizes digital twin applications for pseudo-measurement generation and parallel simulation techniques leveraging GPUs and FPGAs. Notable achievements include: Development of MGRIT-based parallel-in-time electromagnetic simulations Optimization methods for battery sizing in multi-vector systems Quantitative analysis of high PV penetration impacts in African grids Current projects involve: Hydrogen integration strategies for Southern Italy gas networks DC microgrid communication protocols via low-frequency injection Cloud-based multi-agent systems for grid flexibility management

• Energy Systems
• Power Grids
• Simulation Tools
• +۵ مورد دیگر

Sai Manoj Pudukotai Dinakarrao is a Professor in the Department of Computer Engineering at Rochester Institute of Technology's College of Engineering. He is an active researcher with numerous publications spanning hardware security, machine learning applications, VLSI design, and IoT security. His work focuses on developing innovative solutions for security challenges in hardware and embedded systems. Dr. Dinakarrao's research interests center around hardware security, machine learning for security applications, VLSI design methodologies, and IoT security frameworks. His work has pioneered approaches to hardware Trojan detection, processing-in-memory architectures, and energy-efficient security mechanisms for resource-constrained devices. He has made significant contributions to the understanding of hardware vulnerabilities and the development of robust countermeasures. His recent publications demonstrate a clear trend toward integrating machine learning techniques with hardware security solutions, particularly focusing on processing-in-memory architectures for efficient security implementations. His work spans both theoretical foundations and practical implementations, with applications in IoT security, malware detection, and hardware verification. The research shows increasing sophistication in addressing security challenges through novel hardware-software co-design approaches. Dr. Dinakarrao has mentored numerous graduate students who have co-authored publications with him, indicating an active research group focused on cutting-edge security and hardware design topics. His collaborations span multiple institutions and research groups, demonstrating his integration within the broader academic community.

• Hardware Security
• Machine Learning for Security
• VLSI Design
• +۷ مورد دیگر

Miguel L. Pardal is an Assistant Professor at Instituto Superior Técnico, Universidade de Lisboa, and a researcher at INESC-ID's Distributed Systems Group (GSD). His work focuses on Cybersecurity, Distributed Systems, Internet of Things (IoT), and Cloud Computing. He has led projects like the EU-funded Safe Cloud initiative and contributed to intrusion recovery systems (e.g., MIRES, μVerum) and blockchain-based solutions (e.g., ChainGuard, EvoChain). His research addresses challenges in secure communication, resilient distributed architectures, and location-based systems. Since 2002, he has taught courses on Network Security, Distributed Systems, and Operating Systems. His projects often intersect academia and industry, emphasizing practical applications in critical infrastructure and smart technologies. Collaborations include developing systems for vehicle-pedestrian safety (SafeWalk) and decentralized identity management. He has authored over 30 publications, with recent work covering blockchain resilience, intrusion detection in industrial processes (IM-DISCO), and generative AI for distributed algorithms. His contributions span academic conferences (DSN, EuroSys) and journals (IEEE Transactions).

• Distributed Systems
• Cybersecurity
• Internet of Things
• +۲ مورد دیگر

Michael Gruber is a researcher and teaching associate at the Lehrstuhl für Sicherheit in der Informationstechnik (Chair for Security in Information Technology) at Technische Universität München (TUM) , under Prof. Georg Sigl. His role involves conducting advanced research in hardware security and teaching specialized courses in cryptographic implementations. Research Focus: Gruber's work centers on fault attacks , side-channel attacks , and secure implementations of cryptographic systems, with applications in embedded security and cryptanalysis . He actively contributes to projects involving hardware reverse engineering , FPGA security , and post-quantum cryptography . Teaching Contributions: He co-leads the SmartCard Laboratory and teaches Secure Implementation of Cryptographic Algorithms , providing hands-on experience in secure hardware design and vulnerability assessment. Publications: Gruber has authored numerous peer-reviewed papers (2017–2024) in top-tier venues like HOST , FDTC , and ASPDAC , focusing on novel attack methodologies and countermeasures for secure hardware. Collaborations: His work often involves collaboration with PhD students and industry partners, as evidenced by co-authored papers with researchers like Matthias Probst, Patrick Karl, and Georg Sigl.

• Fault Attacks
• Side-Channel Attacks
• Secure Implementations
• +۳ مورد دیگر

Christian Dietrich is a Professor for Reliable Distributed Systems at Technical University of Braunschweig since 2024, where he heads the Reliable System Software research group within the Institute of Operating Systems and Computer Networks, part of the Faculty of Electrical Engineering, Information Technology, and Physics. He previously held positions at Leibniz Universität Hannover where he completed his distinguished doctoral research. Professor Dietrich's research focuses on operating systems, distributed systems, and reliable systems with particular expertise in memory management, real-time systems, and embedded systems. His work spans both theoretical foundations and practical implementations, with significant contributions to system software reliability and efficiency. His research interests include operating system design, memory management techniques, real-time computing, embedded systems, fault tolerance, and compiler optimizations for system software. Dietrich's recent publications demonstrate a strong focus on memory management innovations (particularly for persistent memory), virtualization techniques, and reliability mechanisms for distributed systems. His work frequently bridges the gap between theoretical computer science and practical system implementation, with many contributions finding their way into production systems. The research shows increasing emphasis on hardware-software co-design and adapting operating systems to modern hardware capabilities. His scientific achievements have been recognized with numerous prestigious awards: USENIX ATC Distinguished Artifact Award (2023) for LLFree USENIX ATC Best Paper Award (2017) for cHash RTAS Best Paper Award (2015) for dOSEK Multiple Outstanding Paper Awards at ECRTS, OSPERT, and ISORC Wissenschaftspreis Hannover (2020, awarded in 2024) Professor Dietrich has secured significant research funding including multiple DFG projects (DI 2840/1-1, DI 2840/2-1) and has been involved in collaborative projects with industry partners. His teaching portfolio includes advanced courses on operating systems, programming languages, and compilers, for which he received teaching excellence awards. He leads an active research group focused on reliable system software with ongoing projects including ParPerOS (Parallel Persistency OS) and ATLAS (Adaptable Thread-Level Address Spaces). The Reliable System Software group maintains strong connections with both academic and industrial partners, contributing to open-source projects and collaborating on cutting-edge research in system software reliability. The group's work has practical impact, with some findings leading to more than 100 accepted patches in the Linux mainline kernel.

• Operating Systems
• Distributed Systems
• Reliable Systems
• +۴ مورد دیگر

Coen De Roover is a Professor at the Software Languages Lab (SOFT) of Vrije Universiteit Brussel (VUB) since October 2015, where he leads the Code Analysis and ManiPulation (CAMP) subgroup. His research focuses on program analysis design and its applications to software quality, including soft verification of contracts, incremental abstract interpretation, vulnerability detection in infrastructure code, and mining change patterns in commits. Key Research Areas: static analysis, dynamic analysis, mining software repositories, software engineering tools, security, and empirical studies. Conference Roles: Organizing Committee Chair for ECOOP Academy (2026), Steering Committee Member for GPCE, Program Committee Member for ICFP, SANER, and VMCAI, and Session Chair for multiple research tracks. Notable Contributions: Publications on WebAssembly analysis, Ansible security, concolic testing, and abstract interpretation frameworks. He also serves as Programme Director for the Bachelor in Computer Science at VUB since 2019-2020.

• program analysis
• program transformation
• software engineering
• +۸ مورد دیگر

Luigi De Simone is an Assistant Professor (non-tenure track) in the Department of Information Technology and Electrical Engineering at the University of Naples Federico II. He is a member of the DESSERT (Dependable and Secure Software Engineering and Real-Time Systems) research group and collaborates with the CINI laboratory (Consorzio Interuniversitario Nazionale per l'Informatica). His academic journey at Federico II University spans from undergraduate studies through his PhD and into his current faculty position. His educational background includes: M.Eng. (2013): Master of Engineering in Computer Engineering (cum laude), University of Naples Federico II B.Eng. (2009): Bachelor of Engineering in Computer Engineering, University of Naples Federico II Luigi De Simone's research focuses on the dependability of computing systems, with particular emphasis on fault injection testing methodologies for operating systems and cloud environments. His work bridges theoretical foundations with practical applications in virtualization technologies, exploring how these technologies can enhance system reliability while addressing the challenges of mixed-criticality environments. He investigates the intersection of cloud computing, virtualization, and system dependability, with applications spanning from industrial systems to telecommunications infrastructure. His research often involves developing novel testing frameworks and analytical models to assess system behavior under fault conditions. His recent publications demonstrate a consistent focus on virtualization technologies and their application in critical systems. There's a clear trajectory from foundational work on fault injection in cloud systems to more specialized applications in 5G networks, railway systems, and Industry 4.0 environments. His research increasingly incorporates machine learning techniques for failure prediction and analysis, showing adaptation to emerging methodologies in the field. The work spans both theoretical modeling (queueing theory, performability analysis) and practical implementation (tools like ThorFI and IRIS). His notable scientific achievements include: Reusable and Available Badge (2019) for paper at ESEC/FSE PhD Thesis Award from Associazione GUFPI-ISMA (2019) Best Paper Award at NetSoft 2015 Best Student Presentation Award at ISSRE 2014 PhD fellowship from University of Naples Federico II (2014) As an educator, De Simone has taught a range of courses from fundamental computer science to advanced specialized topics, with a particular focus on virtualization technologies and advanced programming. His teaching reflects his research interests, creating a synergy between his scholarly work and educational contributions. He has been involved in numerous research grants related to dependable systems, cloud computing, and virtualization technologies, contributing to both national and international research projects. He is actively involved with the DESSERT research group, which focuses on dependable and secure software engineering and real-time systems. His work with the CINI laboratory extends his research impact into national collaborative efforts in computer science. These affiliations provide the infrastructure for his experimental work on virtualized systems and fault injection methodologies.

• Dependability
• Fault Injection Testing
• Operating Systems Reliability
• +۷ مورد دیگر

Dr. Michal Kruszewski serves as a Senior Researcher at the Department of Engineering Geology and Hydrogeology at RWTH Aachen University, where he leads investigations in reservoir geomechanics, rock mechanics, and fault mechanics with applications in deep geothermal energy systems. His expertise spans numerical modeling, hydraulic testing, and stress state analysis, contributing significantly to sustainable geothermal resource development. His academic credentials include: Ph.D. in Geosciences from Ruhr University Bochum (2023) M. Eng. in Geology and Mining from AGH University of Science and Technology, Cracow, Poland (2017) Dr. Kruszewski's research focuses on the critical relationship between crustal stress states and fault behavior in geothermal reservoirs. His work examines how stress conditions affect fault stability and permeability, with direct implications for induced seismicity risk during geothermal operations. He employs advanced numerical modeling techniques combined with field data analysis to address challenges in geothermal energy development, particularly in the Ruhr region of Germany and Los Humeros in Mexico. His investigations into fault reactivation potential during fluid injection operations have provided valuable insights for safer geothermal system design. His publication record demonstrates consistent research productivity with numerous high-impact articles focusing on geomechanical characterization of geothermal systems. A significant portion of his work addresses the practical challenges of deep geothermal energy development, particularly the relationship between stress states, fault reactivation, and fluid flow in the subsurface. His recent publications (2023-2025) show continued innovation in modeling techniques and field applications. Dr. Kruszewski maintains active membership in key professional organizations: European Geosciences Union (EGU) American Geophysical Union (AGU) International Geothermal Association (IGA) Polish Geothermal Society (PSG) Society of Petroleum Engineers (SPE) As project lead for SIEGFRIED (BMWK) and contributor to PRECODE (BGE), he oversees research initiatives addressing critical challenges in underground engineering and geothermal development. His work on the PRECODE project investigates excavation-induced damage in tunnel environments, with implications for deep geological repositories. Dr. Kruszewski maintains strong international collaborations, particularly with Mexican research institutions through the GEMex project, advancing understanding of superhot geothermal systems in volcanic environments.

• Reservoir Geomechanics
• Rock Mechanics
• Crustal State of Stress
• +۶ مورد دیگر

Mohammadreza Jalali serves as Professor and Chair of Engineering Geology and Hydrogeology at RWTH Aachen University's Faculty of Civil Engineering. His academic journey spans multiple prestigious institutions including ETH Zurich and the University of Waterloo, with extensive industry experience at Schlumberger and GEOMEC Engineering. His current research focuses on the intersection of geomechanics and hydrogeology with practical applications in energy and waste management systems. Dr. Jalali earned his Ph.D. in Earth & Environmental Sciences from the University of Waterloo (2013), following an M.Sc. in Petroleum Engineering (2007) and B.Sc. in Mining Engineering (2004), both from the University of Tehran. His educational background combines engineering fundamentals with earth sciences expertise, providing a strong foundation for his interdisciplinary research approach. His research interests center on Rock and Geomechanics, Applied Hydrogeology, and their applications to critical infrastructure challenges. Specializing in Thermo-hydro-mechanical coupled problems in rocks, he investigates Hydro-mechanical characterization of rocks, Hydraulic stimulation techniques, and Discrete fracture network modeling. His work has significant implications for Nuclear Waste Repositories and Deep Geothermal Energy systems, addressing some of the most pressing energy and environmental challenges of our time. Analysis of his recent publications reveals a strong focus on the mechanical behavior of clay-rich formations, particularly Opalinus Clay which is crucial for nuclear waste disposal. His work combines advanced experimental techniques with sophisticated numerical modeling to understand rock behavior under complex thermo-hydro-mechanical conditions. The research shows increasing emphasis on energy storage applications, particularly hydrogen storage in salt caverns, reflecting emerging energy transition needs. Dr. Jalali maintains active collaborations with major underground research laboratories including the Grimsel Test Site in Switzerland and the Bedretto Underground Laboratory. His work integrates field-scale experiments with laboratory investigations and numerical modeling, creating a comprehensive research framework that bridges theoretical understanding with practical engineering applications.

• Rock and Geomechanics
• Applied Hydrogeology
• Nuclear Waste Repositories
• +۶ مورد دیگر

Dr. Michael Schwarz is a tenured professor at CISPA Helmholtz Center for Information Security in Saarbrücken, Germany. His research focuses on microarchitectural side-channel attacks and system security , with notable contributions to vulnerabilities like Meltdown , Spectre , and ZombieLoad . He leads the RootSec Research Group and is a regular speaker at top-tier conferences including Black Hat and IEEE S&P. PhD in Computer Science from Graz University of Technology (2019) Two master’s degrees in Computer Science and Software Engineering His work spans CPU security , transient execution attacks , and side-channel defenses , with 15 recent publications on topics like cache timing analysis, browser sandbox breaches, and compiler-induced vulnerabilities. Awards include multiple Busy Beaver Awards , Pwnie Awards , and recognition for foundational papers like Meltdown . Collaborated with Daniel Gruss (PhD advisor) Advises on hardware-software security interactions Publications reveal a trend toward microarchitectural attack surfaces and practical exploitation frameworks , often leveraging hardware features (e.g., CPU caches, prefetchers) for security analysis. He has also contributed to secure memory allocation and browser-based fingerprinting research.

• Microarchitectural Attacks
• Side-Channel Attacks
• System Security
• +۳ مورد دیگر

Professor Gabriele Taentzer serves at Philipps University of Marburg within the Department of Mathematics and Computer Science, holding key roles as Professor of Software Engineering and Deputy Executive Director of the Marburg Center for Digital Culture and Infrastructure (MCDCI). She leads the Software Engineering research group and contributes significantly to academic governance as a member of the MArburg University Research Academy Board and the Cooperative Doctoral Platform. Her research centers on Model-Driven Software Development with specialized expertise in Model Transformation, Software Quality Assurance, and Graph Transformation systems. She investigates formal methods for ensuring model consistency, developing rule-based approaches for graph repair, and integrating data quality perspectives into software engineering processes. Her work bridges theoretical computer science with practical applications in distributed systems and mobile application development. Professor Taentzer has demonstrated exceptional leadership in the academic community through extensive committee service. She chaired the ETAPS-conference 'Fundamental Approaches to Software Engineering (FASE)' Steering Committee (2011-2021), served as General Conference Chair for STAF 2017, and held PC chair positions for major conferences including MODELS 2023 and FASE 2010. Her editorial contributions include membership on the SoSym journal editorial board and reviewing for top-tier publications like IEEE TSE and ACM Computing Surveys. Philipps-Universität Marburg Teaching Award 2020 She actively mentors students and researchers in software engineering methodologies while leading collaborative projects through the Marburg Center for Digital Culture and Infrastructure. Her research group maintains strong connections with international conferences and workshops, particularly in graph transformation and model-driven engineering domains.

• Model-Driven Software Development
• Model Transformation
• Graph Transformation
• +۳ مورد دیگر

Matthias Probst is a Researcher at the Department of Information Security, Technical University of Munich (TUM), specializing in hardware security and neural network implementations. His work bridges cryptographic engineering with emerging computing paradigms, focusing on vulnerabilities in neuromorphic hardware and side-channel analysis of neural networks. Research Focus: Probst investigates Side-Channel Analysis techniques against neuromorphic systems, particularly Spiking Neural Networks (SNNs) and Physical Unclonable Functions (PUFs). His recent publications reveal expertise in Hardware security countermeasures (DOMREP series) Fault injection methodologies (Switch-Glitch) Secure neural network acceleration Quantum-resistant hardware implementations His work demonstrates how timing and electromagnetic emanations can extract secrets from emerging hardware architectures. Publication Trends: Analyzing Probst's 2019-2025 publications shows increasing focus on neural network security (60% of recent work), with growing emphasis on neuromorphic hardware (40% since 2022). His research uniquely combines traditional side-channel analysis with next-generation computing architectures, revealing critical vulnerabilities in spiking neuron implementations and PUF-based security primitives. Key themes include timing-based attacks on loop PUFs, electromagnetic fault injection sweet spots, and masked neural network accelerators. Collaboration Network: Probst consistently collaborates with TUM's Chair of Information Security team led by Prof. Georg Sigl, particularly with Manuel Brosch and Michael Gruber. His 2024 EMDRIVE Architecture paper involves cross-institutional work spanning embedded diagnostics to edge computing.

• Side-Channel Analysis
• Neural Networks
• Neuromorphic Hardware
• +۳ مورد دیگر

Massimiliano Di Penta is a Full Professor at the University of Sannio, Italy, working within the Department of Engineering. He has established himself as a prominent researcher in software engineering with extensive contributions to software evolution, software analytics, DevOps, and software engineering with/for AI. His academic leadership is evident through his roles as program co-chair of major conferences including ICSE 2023 and ESEC/FSE 2021, and his editorial positions as associate editor-in-chief of IEEE Transactions on Software Engineering and co-editor-in-chief of the Journal of Software: Evolution and Processes. His research interests span multiple critical areas in modern software engineering: Software evolution and maintenance Software analytics and mining software repositories DevOps practices and tooling Integration of AI in software engineering processes Technical debt management Software testing and quality assurance Analysis of his recent publications (2024-2025) reveals a strong focus on the intersection of AI and software engineering, particularly examining how large language models impact development practices, the challenges in software supply chain security through Software Bills of Materials (SBOM), and the application of AI techniques to traditional software engineering problems. His work demonstrates a consistent emphasis on empirical validation and practical applicability to real-world development scenarios. Notable scientific recognition includes: Four ACM SIGSOFT Distinguished Paper awards Multiple distinguished reviewer awards Extensive service on program committees for over 100 conferences Professor Di Penta has advised numerous students and has been instrumental in shaping research directions through his editorial work and conference leadership. His lab and research team at the University of Sannio focus on empirical studies of software development practices with particular attention to modern challenges in AI-assisted development and software supply chain security. His future work appears to be increasingly focused on the implications of generative AI for software engineering practices and the evolving landscape of software supply chain management.

• Software Evolution
• Software Analytics
• DevOps
• +۵ مورد دیگر

Yu Li is a Researcher affiliated with the Physics Institute at the University of Stuttgart . Their work focuses on advancing robotics and cyber-physical systems , with a particular emphasis on anomaly detection, risk assessment, and fault tolerance in autonomous systems. They specialize in applying machine learning techniques like MLSTM-FCN and transformers to enhance system reliability. Research interests include Robotic manipulation under uncertainty ROS-based fault injection frameworks Hybrid probabilistic risk modeling Real-time anomaly detection in industrial systems Recent work emphasizes automated risk assessment for software-defined robotic systems, leveraging SysML V2 models and continuous monitoring. Their publications span robotics, AI, and safety-critical system design, reflecting interdisciplinary collaboration across engineering and computer science domains.

• Robotics
• Cyber-Physical Systems
• Machine Learning
• +۳ مورد دیگر