جستجوی استاد راهنمای دانشگاهی

Prof. Dr. Sebastian Steinhorst is an Associate Professor (W3-level with tenure) at the Technical University of Munich (TUM) within the Embedded Systems and Internet of Things group at the TUM School of Computation, Information and Technology . His research focuses on advancing the security, predictability, reliability, and interoperability of smart connected and autonomous systems, particularly for applications in Internet of Things (IoT) , Industry 4.0 , and automotive systems . PhD in Computer Science (2011) from Goethe University Frankfurt Postdoctoral roles at TUMCREATE Singapore (2011-2016) and Aarhus University (2016) Joined TUM in 2016 as Rudolf Moessbauer Tenure Track Professor His research areas include decentralized embedded systems, hardware/software co-design, modeling and verification of cyber-physical systems, security protocols for automotive networks, and time-sensitive networking (TSN) for industrial applications. Recent work explores blockchain-based data sovereignty, zero-knowledge proofs for vehicle authentication, and resilient architectures for autonomous systems. Key scientific contributions include the 2019 ACM TODAES Best Paper Award and pioneering work on CyberSecDome , LeapChain , and Simutack frameworks. He serves on editorial boards and conference committees, including co-organizing the Autonomous Systems Design initiative at DATE. His teaching portfolio spans lectures on System Design for IoT , Software Architecture for Distributed Systems , and IoT Security across multiple semesters. He also leads advanced seminars on embedded systems and IoT.

• Embedded Systems
• Internet of Things (IoT)
• Cyber-Physical Systems
• +۵ مورد دیگر

Nils Ole Tippenhauer is a faculty member at the CISPA Helmholtz Center for Information Security , leading the SCy-Phy research group . His academic journey includes an Assistant Professorship at the Singapore University of Technology and Design (SUTD) (2014–2018), a PhD in Computer Science from ETH Zurich (2012), and a Diploma in Computer Engineering from Hamburg University of Technology (2007). He also holds an exchange study year at the University of Waterloo (2004–2005) supported by a DAAD scholarship. Research Interests focus on practical systems security , particularly Security of Cyber-Physical Systems Industrial Control Systems (ICS) and Industrial IoT (IIoT) Physical-Layer Security and Wireless Security Privacy-Preserving Technologies (e.g., DP3T project) Embedded Systems Security Threat Detection & Defenses His work integrates both theoretical and applied approaches, addressing vulnerabilities in critical infrastructures like water systems and power grids. Recent Publications highlight trends in Anomaly detection evasion in industrial networks Microarchitectural side-channel defenses Localization techniques in cellular networks Security analysis of ICS protocols Data-driven vulnerability assessments for robotics Cyber-physical simulation for infrastructure security Scientific Awards include Best paper at DIMVA'23 Distinguished Paper at ACSAC 2022 Best paper at CPSIOTSEC 2022 Best paper at CPSS 2017 K-H Ditze Award for diploma thesis (2007) SG Mark Institution award (2016) Runner-Up at smart energy hackathon (2013) Advising and Grants feature PhD defenses of Daniele Antonioli and Hamid Reza Ghaeini (2022), co-organizing conferences like WiSec and CPSS , and leading projects such as the National Science Experiment (NSE) with 50,000 mobile sensors in Singapore. He also contributed to the DP3T project for privacy-preserving contact tracing. Labs and Teams include the SCy-Phy research group at CISPA and the development of testbeds like SWaT (Secure Water Treatment), WADI (Water Distribution), and EPIC (Electric Power and Industrial Control) at SUTD. These platforms enable hands-on security research in realistic industrial environments.

• Cyber-Physical System Security
• Industrial Control Systems Security
• Physical-Layer Security
• +۷ مورد دیگر

Christian Haubelt is a Professor at the Institute of Computer and Network Engineering, School of Engineering, University of Rostock, Germany. He is actively engaged in research and teaching in the areas of embedded and cyber-physical systems, smart implants, and IoT. His work is supported by multiple national and international projects including ELAINE (SFB 1270), SmILE (EU), 6G-Health (BMBF), and GenerIoT (BMBF). His research interests include: Embedded and Cyber-Physical Systems Smart Sensors and Smart Implants System-Level Design Methodologies SystemC-based Modeling and Verification Design Space Exploration and Multi-Objective Optimization Industrial Internet of Things and 6G for Healthcare His recent publications focus on real-time communication protocols, 5G/6G localization, smart implants, and secure IoT systems. Trends show a strong emphasis on integrating embedded systems with medical and industrial applications, particularly leveraging TSN, MQTT-SN, and OPC UA for reliable and secure communication. His work bridges theoretical modeling with practical implementation in safety-critical domains. Christian Haubelt has supervised multiple researchers including Michael Nast, Benjamin Rother, Nico Kalis, and Nico Graumüller. He leads several funded research projects such as ELAINE, SmILE, 6G-Health, and SUSTAIN, which focus on smart implants, secure IoT, and next-generation medical systems. These projects involve collaboration with DFG, EU, and BMBF. He is involved in the following research labs and teams: Embedded Systems and Cyber-Physical Systems Group Smart Implants Research Team (SmILE, ELAINE) 6G-Health Localization Team Industrial IoT Security (SUSTAIN, CargoAssist)

• Embedded Systems
• Cyber-Physical Systems
• Smart Sensors
• +۹ مورد دیگر

Julian Oertel, a Ph.D. candidate at the University of Rostock's Institute of Computer Science, specializes in software engineering, code summarization, and human factors in software development. His work explores AI techniques like large-language models for accelerating software development. His research spans: Software comprehension and code summarization Human-computer interaction in AI-assisted programming Model-driven engineering (MDE) and modeling experience (MX) Time-sensitive networking (TSN) and network calculus His recent publications focus on GitHub Copilot's impact on coding workflows and empirical studies of model-driven engineering. Oertel's work bridges theoretical analysis with practical tool evaluation in modern software development contexts.

• Software Engineering
• Code Summarization
• Human Factors in Software Development
• +۴ مورد دیگر

Saravanan Ramanathan serves as a Research Fellow at TUMCREATE Singapore, a research initiative established by the Technical University of Munich (TUM) in Singapore. Based in the Electrification Suite & Test Lab, he contributes to critical research in security and networking for next-generation technologies. His expertise spans: IoT Security : Developing frameworks for industrial and autonomous IoT systems Autonomous Systems Security : Addressing vulnerabilities in self-driving vehicles Time-Sensitive Networking (TSN) : Researching deterministic Ethernet for real-time industrial applications Wireless-TSN : Extending TSN capabilities to wireless domains Industrial IoT Interoperability : Enabling seamless communication across heterogeneous systems 6G Networks : Contributing to next-gen wireless via the 6G-Life hub Cybersecurity for Internet of Vehicles : Creating adaptive frameworks like nIoVe Dr. Ramanathan actively participates in high-impact projects including nIoVe (adaptive cybersecurity for Internet-of-Vehicles), Drives 5G, and ReMiX, focusing on data sovereignty and decentralized system security. His work directly supports TUMCREATE's mission to advance sustainable urban mobility solutions in Singapore and globally.

• IoT Security
• Autonomous Systems Security
• Time-Sensitive Networking
• +۴ مورد دیگر

Tatjana Wingarz is a Research Associate and PhD student in the IT-Security and Security Management (ISS) research group at the University of Hamburg's Department of Computer Science (MIN). She holds a Master's degree in IT-Security from Ruhr-University Bochum (2020) and a Bachelor's in Media Communication and Computer Science from Rhine-Waal University of Applied Sciences (2017). Her research focuses on Secure Machine Learning and Privacy-preserving Data Processing , addressing challenges in data integrity, cryptographic protocols, and network security. Recent publications highlight contributions to QUIC-aware load balancing, privacy-preserving data sharing, and edge computing middleware. Team & Collaborations: She collaborates closely with Prof. Mathias Fischer and colleagues like Dr. Heiko Bornholdt, Liliana Kistenmacher, and Kevin Röbert. Her work spans interdisciplinary projects in network security, functional encryption, and educational innovation in computer science pedagogy. Contact: tatjana.wingarz@uni-hamburg.de | Office F 624

• Secure Machine Learning
• Privacy-preserving Data Processing

Dr. Nurefşan Sertbaş Bülbül is a Research Associate/Postdoc at the University of Hamburg's Department of Informatics, part of the Faculty of Mathematics, Informatics and Natural Sciences. She completed her PhD at the University of Hamburg in 2023 under Prof. Mathias Fischer, following two Bachelor's degrees (Electronics and Communication Engineering, Computer Engineering) from Istanbul Technical University and a Master's from Boğaziçi University. Her research focuses on programmable networks, TSN (Time Sensitive Networks), and network security. Key areas include SDN (Software Defined Networking), attack detection, and reinforcement learning applications in networking. Her work addresses critical challenges like DoS attack mitigation in TSN, dynamic path reconfiguration, and P4-based solutions for network security. She has contributed to publications at IEEE GLOBECOM, IFIP Networking, and other conferences. Her research emphasizes practical implementations and resilient network designs, particularly for mission-critical systems. She is part of the Computer Networks research group, previously known as the IT-Security and Security Management group. Dr. Bülbül's recent projects include developing TSN Gatekeeper mechanisms and Transparent TSN solutions for agnostic end-hosts, leveraging SDN and reinforcement learning. Her work bridges theoretical advancements and real-world network challenges, ensuring robust and adaptable network infrastructures.

• Time Sensitive Networks (TSN)
• Software Defined Networking (SDN)
• Network Security
• +۳ مورد دیگر

Prof. Dr. Tobias Heer serves as Professor and Dean of Computer Science and Engineering at Esslingen University of Applied Sciences, where he also holds Senate and Building Committee roles. Based in Room F 01.312 at Campus Esslingen (Flandernstraße 101, 73732 Esslingen), he leads the IT Security Lab while teaching Network Security, IT Security, Offensive Security, and Security of Industrial Networks courses. His research spans industrial network security with emphasis on time-sensitive networking (TSN), deterministic networking (DetNet), and offensive security methodologies. Key focus areas include spoofed traffic detection, secure resource allocation protocols, internet-wide scanner analysis, and global software patching practices. His work bridges theoretical protocol design with industrial implementation challenges in critical infrastructure systems. Recent publications (2022-2024) reveal strong trends in industrial network security, particularly TSN/DetNet integration and real-time traffic protection. His team develops evaluation frameworks like GeNESIS for industrial scenarios while analyzing global patching discipline across sectors. Earlier foundational work includes Host Identity Protocol standards (RFC 7401, 8002) and distributed hash table applications for mesh networks. No scientific awards are documented in the provided materials. While advising activities aren't specified, his patent portfolio indicates active industry collaboration. He heads the IT Security Lab which focuses on industrial network security testing and protocol development, with recent projects examining PRP-based transmission systems and time-deterministic firewall mechanisms.

• Network Security
• IT Security
• Offensive Security
• +۵ مورد دیگر

Marc Boyer is a Research Director at ONERA, the French Aerospace Lab, within the Department of Aerospace and Information Systems Technologies (DTIS). He is actively affiliated with the Université de Toulouse, where he teaches at the M2 level in computer science and engineering programs at UPS and ENSEEIHT. His research lies at the intersection of formal methods, real-time systems, and embedded networking, with a strong focus on network calculus and Time-Sensitive Networking (TSN). Institution: ONERA / DTIS Teaching Affiliations: Université de Toulouse (UPS, ENSEEIHT) Doctoral School: MITT (Mathematics, Computer Science, Telecommunications) His research interests include formal verification of real-time networks, worst-case performance evaluation, scheduling models, and deterministic networking. He has made significant contributions to the theoretical and practical application of network calculus in avionics (AFDX), automotive, and space systems. His work bridges theory and industry applications, particularly in safety-critical domains. His recent publications (2020–2024) show a consistent focus on refining network calculus models for TSN, CQF, credit-based shaping, and sporadic traffic integration. These works are published in top-tier venues such as ECRTS, RTAS, ETFA, and IEEE Transactions, indicating high impact and relevance in real-time systems research. Best Paper Award, JRWRTC 2023 Best Paper Award, ICATPN 2007 Co-chair, RTNS 2023 Program Committee Active in ECRTS, RTAS, DATE, ETFA program committees Marc Boyer supervises multiple PhD students and offers internships through the MITT doctoral school. He leads the MOIS doctoral reception team and is involved in industrial challenges like Resilient TSN. He has developed tools like NC-maude for formal analysis and contributes to open research datasets and reproducibility. His work combines theoretical rigor with practical implementation, influencing both academic and industrial standards in deterministic networking. He is also active in educational outreach, delivering lectures on digital transformation and cognitive biases in engineering, and promoting tools like Emacs for productivity.

• Formal Methods
• Network Calculus
• Real-Time Systems
• +۷ مورد دیگر

Ralf Kundel is a Professor of Computer Science at the University of Applied Sciences Darmstadt, Germany. He holds a Ph.D. (2022) and dual M.Sc./B.Sc. degrees (2015-2017) from TU Darmstadt. His research focuses on network programmability, hardware acceleration using FPGAs and P4-programmable switches, Quality of Service (QoS), Time Sensitive Networking (TSN), and Network Intrusion Detection Systems (NIDS). He leads the Adaptive Communication Group (ACS) since 2021, emphasizing network data plane programmability. Key projects include BMWK's Real Lab Drive 4.0 (TSN in industrial networks), Deutsche Telekom's Dynamic Networks (SDN and FPGA-based carrier networks), and BMBF initiatives like Open 6G Hub (disaggregated O-RAN architectures) and AI-NET-PROTECT (machine learning for network security). He contributed to open-source frameworks like P4-UPF (5G UPF implementation), P4-CoDel (AQM), and P4STA (network testing). Publications span over 25 peer-reviewed works and five patent applications, with recent focus on high-performance network evaluation and programmable hardware applications.

• Hardware Acceleration
• FPGAs and P4
• Network Intrusion Detection Systems
• +۳ مورد دیگر

Luxi Zhao is a Research Fellow at Technische Universität München's Embedded Systems and Internet of Things department, specializing in Time-Sensitive Networking (TSN) and real-time network calculus. Working under the supervision of Prof. Sebastian Steinhorst, Zhao contributes to projects like ReMiX and 6G-Life, focusing on security, performance analysis, and configuration optimization of deterministic networks. Research Focus: Worst-case latency analysis in TSN networks Runtime configuration and reconfiguration problems Hybrid scheduling of processing and communication Network calculus modeling for heterogeneous systems Security challenges in industrial IoT and autonomous systems Interoperability of IoT systems in Industry 4.0 Teaching Activities: Secure Autonomous Systems (2025) Software Architecture for Distributed Embedded Systems (2025) IoT Security (2025) IoT Remote Lab practical courses across multiple semesters Advanced Seminar series (2020-2025)

• Time-Sensitive Networking
• Network Calculus
• Real-Time Systems
• +۳ مورد دیگر

Manuel Eppler is a doctoral student and research assistant at the University of Tübingen , affiliated with the Faculty of Mathematics and Natural Sciences and the Department of Computer Science , specifically the Chair of Communication Networks . He holds a B.Sc. in Computer Science (2020), a B.Sc. in Mathematics (2021), and an M.Sc. in Computer Science (2022), all from the University of Tübingen. Education B.Sc. in Computer Science (2016-2020) B.Sc. in Mathematics (2018-2021) M.Sc. in Computer Science (2020-2022) His research focuses on communication networks , particularly Time-Sensitive Networking (TSN) and scheduling algorithms . Key contributions include work on Integer Linear Programming (ILP) for TSN scheduling and clustering algorithms for BIER-based multicast scalability. He also explores integrating container platforms with TSN for industrial IoT applications. Recent publications highlight advancements in TAS (Time-Aware Shaper) performance optimization and container-adjacent network management. His work bridges theoretical modeling (e.g., ILP, clustering) with practical implementations in industrial networks. Eppler collaborates with Siemens AG 's Industrial Networks division, contributing to lectures on topics like network simulation , cybersecurity , and IT service management . He is associated with the Chair of Communication Networks at the University of Tübingen, which provides a hub for his research activities.

• Communication Networks
• Time-Sensitive Networking (TSN)
• Network Technologies
• +۵ مورد دیگر

Fabian Ihle is a Researcher & PhD Student at the Chair of Communication Networks , Department of Computer Science , University of Tübingen . He works on Software-Defined Networking (SDN) , P4 Programming Language , and MPLS Network Actions , focusing on Time-Sensitive Networking and Network Resilience . His research includes data plane programming , network protocol development , and high-speed switching using hardware like Intel Tofino. He has contributed to IETF Internet Drafts and presented at workshops including ReNeSys 2025 and IETF MPLS WG meetings. Academic Background : B.Sc. and M.Sc. in Computer Science from University of Tübingen (2021-2023) His publications address MPLS extensions , BIER-TE , and P4-based tools for traffic generation and runtime control. He actively participates in KuVS workshops and serves as a reviewer for journals like IEEE Transactions on Cognitive Communications .

• Software-Defined Networking (SDN)
• P4 Programming Language
• Time-Sensitive Networking (TSN)
• +۳ مورد دیگر

Dirk Timmermann is Senior Professor of Computers in Technical Systems at the Institute for Applied Microelectronics and Data Technology , University of Rostock , Germany. He is affiliated with the Interdisciplinary Faculty (INF) within the Department of Life, Light & Matter. Academic Role: Senior Professor focusing on technical systems Research Areas: Digital CMOS circuits, energy-efficient systems, wireless communication protocols Teaching: Advanced VLSI design and digital systems Current Projects: Deep brain stimulation devices, TSN networking, medical device interoperability His recent publications (2023-2025) emphasize preclinical neurostimulation research (STN-DBS applications in Parkinsonian models), time-sensitive networking (TSN scheduling, IEEE 802.11 protocols), and medical device integration (IEEE 11073 SDC implementations). He contributes to: Ad hoc sensor network architectures Energy-efficient FPGA designs Service-oriented medical device connectivity Building automation security frameworks Prof. Timmermann serves on the Senate Committee on Budget, Personnel and Construction at University of Rostock.

• Microelectronics
• Embedded Systems
• Wireless Sensor Networks
• +۳ مورد دیگر

Dr. Giang T. Nguyen is an academic researcher affiliated with Dresden University of Technology (Germany), specializing in advanced networking technologies. His primary affiliation is with the College of Computer Science and the Department of Networking and Communication Systems. He collaborates extensively with Prof. Frank H. P. Fitzek and other researchers on cutting-edge projects. Research Interests: Giang's work focuses on Network Functions Virtualization (NFV) , Edge Computing , Time-Sensitive Networking (TSN) , 5G/6G Technologies , and In-Network Computing (COIN) . He explores applications in industrial automation, tactile internet, and immersive media delivery, with a strong emphasis on latency reduction and network reliability. Publications: His recent work includes advancements in programmable network coding, TSN testbed development, and latency-optimized architectures for XR and IoT systems. Over 100+ publications since 2013 reflect his contributions to edge computing frameworks, network simulation tools (e.g., ns-3, OMNeT++), and collaborative SLAM systems. Key Projects: He leads initiatives like the TSN-FlexTest measurement testbed and the NET Playground heterogeneous network lab. His research bridges theoretical networking concepts with practical implementations in industrial robotics and emergency response systems.

• Networking
• Edge Computing
• 5G/6G Technologies
• +۵ مورد دیگر