- alexander.bork at cs.rwth-aachen.de
- Address
- Room 4205
Ahornstraße 55
D-52074 Aachen - Phone
- +49 241 80 21252
I have been a PhD student at the Software Modeling and Verification Group (MOVES) headed by Professor Joost-Pieter Katoen since April 2021. Additionally, I am a doctoral researcher within the Research Training Group UnRAVeL.
Research
We cannot avoid POMDPs (…) because the real world is one.
Stuart J. Russel, Peter Norvig
Artificial Intelligence – A Modern Approach (Fourth Edition), p.578
My research focus is on the verification of partially observable stochastic models, in particular the analysis of partially observable Markov decision processes (POMDPs). In contrast to classical stochastic models, in partially observable models a decision maker must base its decisions on the available information in a state and not the complete state itself. A special focus of my work is the development of approaches that can be used in practice to verify certain properties on partially observable models and to synthesise strategies for such properties.
I am also interested in general topics of probabilistic verification, in particular probabilistic model checking.
I am a developer of the probabilistic model checker Storm.
Thesis Projects
If you are interested in writing a Bachelor’s/Master’s thesis within my research area, don’t hesitate to contact me!
Finished Projects
- Sven Büge, Implementing Goal-HSVI for POMDPs in the Probabilistic Model Checker Storm, Bachelor’s Thesis, 2024.
- Umut Dural, Automatic Algorithm Selection for Probabilistic Model Checking using Machine Learning, Bachelor’s Thesis, 2023.
- Gergana Tropcheva, Strategy Computation for a Markovian Disease Spread Model, Bachelor’s thesis, 2023.
- Christina Gehnen, POMDP-based Execution Models for Probabilistic Programs with Partial Observability, Master’s thesis, 2022. (co-supervised with Tobias Winkler)
Peer Reviews
Journals
- Logical Methods in Computer Science (lmcs) 2022/23 – Reviewer
Conferences
- TACAS 2025 – Subreviewer
- AAMAS 2025 – Subreviewer
- FM 2024 – Subreviewer
- UAI 2024 – External Reviewer
- TACAS 2024 – Member of Artifact Evaluation Committee
- AAMAS 2024 – Subreviewer
- UAI 2023 – External Reviewer
- TACAS 2023 – Member of Artifact Evaluation Committee
- CAV 2022 – External Reviewer
- FoSSaCS 2022 – External Reviewer
Teaching
I’m currently involved in the following teaching activities:
- Lecture: Model Checking (W 24)
- Seminar: Probabilistic Programming (W 24)
Past Semesters
- Seminar: Trends in Model Checking (S 24)
- Proseminar: Data Structures and Algorithms (S 24)
- Lecture: Modeling and Verification of Probabilistic Systems (W 23)
- Lecture: Model Checking (S 23)
- Proseminar: Programming Languages (S 23)
- Seminar: Probabilistic Programming (W 22)
- Lecture: Model Checking (S 22)
- Proseminar: Introduction to Program Analysis (S 22)
- Lecture: Modeling and Verification of Probabilistic Systems (S 21)
Publications
| 2024 | |
|---|---|
[bibtex]
[issue]
|
Alexander Nikolai Bork, Debraj Chakraborty, Kush Grover, Jan Křetínský, Stefanie Mohr. Learning Explainable and Better Performing Representations of POMDP Strategies, 30. International Conference TACAS (TACAS 2024), Volume 14571 of LNCS, 299-319, Springer, 2024. |
| 2023 | |
|
[bibtex]
[issue]
|
Roman Andriushchenko, Alexander Nikolai Bork, Milan Češka, Sebastian Junges, Joost-Pieter Katoen, Filip Macák. Search and Explore: Symbiotic Policy Synthesis in POMDPs, 35. International Conference on Computer-Aided Verification (CAV 2023), Volume 13966 of LNCS, 113-135, Springer, 2023. |
| Show all | |