Jan Lauinger

Jan Lauinger serves as a Researcher at the Technical University of Munich (TUM) within the Department of Electrical and Computer Engineering, specifically in the Associate Professorship of Embedded Systems and Internet of Things directed by Prof. Sebastian Steinhorst. Located in Munich, Germany, he actively teaches courses including "System Design for the Internet of Things" and "IoT Security" across multiple academic semesters, and contributes to research in security for IoT and autonomous systems.

His research interests center on IoT Security, Decentralized Systems, Privacy-Preserving Computation, Zero-Knowledge Proofs, Data Provenance, and Identity Management. He explores modern identity frameworks, data compliance mechanisms, and verifiable computation techniques, with applications in decentralized environments and the Internet of Vehicles (IoV). His work addresses critical security and privacy challenges in emerging technologies.

Recent publications (2020-2024) highlight his focus on cryptographic solutions for decentralized identity and data security, including zero-knowledge proofs for single sign-on, anonymous domain ownership, and blockchain-based trust management. He has developed frameworks for intrusion response in connected vehicles, attack data generation for autonomous systems, and secure publish/subscribe systems, demonstrating a cohesive research trajectory in securing IoT and autonomous infrastructures.

No scientific awards, fellowships, or major prizes are documented in the provided materials.

Lauinger has supervised over 15 student theses at TUM, including Master's and Bachelor's projects. His advisees have investigated topics such as TLS support evaluation, secure data distribution using ledger technology, decentralized oracles for web data, sensor attack simulation for autonomous vehicles, and policy-based publish/subscribe security. This reflects his active role in mentoring the next generation of security researchers.

As part of Prof. Steinhorst's research group, Lauinger contributes to projects including nIoVe (a cybersecurity framework for the Internet-of-Vehicles), Time-Sensitive Networking, and the Web of Things for Industry 4.0. The team operates within TUM's advanced facilities for embedded systems research, focusing on practical security solutions for industrial IoT and autonomous systems.