Herr Julius Adelt, Institut für Informatik

Private Homepagehttps://www.uni-muenster.de/EmbSys/team/adelt/index.shtml
Current PublicationsAdelt J.; Bruch S.; Herber P.; Niehage M.; Remke A. Shielded Learning for Resilience and Performance Based on Statistical Model Checking in Simulink. Bridging the Gap Between AI and Reality - First International Conference, AISoLA 2023, Crete, Greece, October 23–28, 2023, ProceedingsLecture Notes in Computer ScienceLecture notes in computer science, 2024, pp 94-118 online
Adelt J; Liebrenz T; Herber P Formal Verification of Intelligent Hybrid Systems that are modeled with Simulink and the Reinforcement Learning Toolbox. Software EngineeringLNI Vol. P-332, 2023, pp 29-30 online
Adelt, Julius; Brettschneider, Daniel; Herber, Paula Reusable Contracts for Safe Integration of Reinforcement Learning in Hybrid Systems. Automated Technology for Verification and Analysis - 20th International Symposium (ATVA)Lecture Notes in Computer Science Vol. 13505, 2022, pp 58-74 online
Adelt Julius, Gebker Julian, Herber Paula Towards Reusable Formal Models for Custom Real-Time Operating Systems. Formal Methods for Industrial Critical Systems - 27th International Conference, {FMICS} 2022, Warsaw, Poland, September 14-15, 2022, ProceedingsLecture Notes in Computer Science Vol. 13487, 2022, pp 69-85 online
Adelt, Julius; Herber, Paula; Niehage, Mathis; Remke, Anne Towards Safe and Resilient Hybrid Systems in the Presence of Learning and Uncertainty. Leveraging Applications of Formal Methods, Verification and Validation. Verification Principles - 11th International Symposium, ISoLA 2022, Rhodes, Greece, October 22-30, 2022, Proceedings, Part ILecture Notes in Computer Science, 2022, pp 299-319 online
Adelt J, Liebrenz T, Herber P Formal Verification of Intelligent Hybrid Systems that are Modeled with Simulink and the Reinforcement Learning Toolbox. Formal Methods, 2021, pp 349-366 online
Herber P, Liebrenz T, Adelt J Combining Forces: How to Formally Verify Informally Defined Embedded Systems. Formal Methods, 2021, pp 3-22 online
Herber Paula, Adelt Julius, Liebrenz Timm Formal Verification of Intelligent Cyber-Physical Systems with the Interactive Theorem Prover KeYmaera X. Proceedings of the Software Engineering 2021 Satellite Events, Braunschweig/Virtual, Germany, February 22 - 26, 2021CEUR Workshop Proceedings, 2021, pp 1-4 online
Current ProjectsSafe Integration of Learning In Autonomous cyber-physical Systems

Cyber-physical systems are systems that combine discrete control (or cyber) aspects with physical aspects. We can find examples of such systems in cars, airplanes, or water supply systems. With the current trend towards self-driving cars and smart infrastructures, these systems are becoming increasingly autonomous. This means that they use learning to take good control decisions in unforeseen situations and dynamic environments. While learning significantly increases their flexibility, it also increases their complexity. At the same time, failures often have serious consequences in cyber-physical systems, as they may cause huge financial losses or even loss of lives. Thus, the correctness and reliability of these systems are of vital importance. Formal verification techniques, which establish correctness using rigorous mathematical methods, can provide us with guarantees about crucial safety properties of cyber-physical systems. However, formal verification is known to be enormously expensive. Techniques for automatic verification explore the underlying state space of a given system, which is often too large to be fully explored. Deductive verification techniques provide a powerful solution to this problem by leveraging abstract mathematical reasoning, but they require tremendous effort and expertise to provide the necessary abstractions and proof ideas to guide the verification process. This problem is especially severe for autonomous cyber-physical systems, because the trial-and-error processes and statistical methods that are commonly used in learning are hard to capture formally.The main goal of this project is the safe integration of learning in autonomous cyber-physical systems with acceptable effort. Our key concept to achieve this is reusability. In particular, we investigate reusable abstractions for autonomous cyber-physical systems. By providing novel concepts for systematic reuse of formal specifications and abstractions (for example, property and specification patterns), we will significantly reduce the required manual effort and expertise, and thus increase the applicability and acceptance of deductive verification in industrial design processes for autonomous cyber-physical systems.

E-Mailjulius dot adelt at uni-muenster dot de
Phone+49 251 83-33807
FAX+49 251 83-32742
Secretary   Sekretariat Kaiser-Mariani
Frau Julia Kaiser-Mariani
Telefon +49 251 83-32740
Fax +49 251 83-32742
Zimmer 704
AddressHerr Julius Adelt
Institut für Informatik
Fachbereich Mathematik und Informatik der Universität Münster
Einsteinstrasse 62
48149 Münster
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