CV
Curriculum vitae. The content is generated from _data/cv.yml.
Contact Information
| Name | Felix Gigler |
| Professional Title | PhD Candidate · Junior Scientist |
| felix.gigler@tuwien.ac.at |
Professional Summary
PhD candidate in Automated Reasoning at TU Wien, in collaboration with AIT Austrian Institute of Technology, where I also work as a Junior Scientist. My research is in formal methods and autonomous systems: specification languages, sampling algorithms for formal formalisms, and scenario-based testing of autonomous vehicles.
Experience
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2025 - present Vienna, Austria
PhD Candidate in Automated Reasoning
TU Wien
In collaboration with AIT Austrian Institute of Technology.
- Uniform sampling and volumetry for timed regular expressions.
- Declarative, scenario-based testing of autonomous driving functions.
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2022 - present Vienna, Austria
Junior Scientist
AIT Austrian Institute of Technology
- Virtual testing strategies for autonomous vehicle controllers.
- Tooling for state-of-the-art scenario description languages (OpenSCENARIO 2.1 DSL).
- Plan synthesis with answer-set programming for scenario-based testing.
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2024 Grenoble, France
Research Intern
Université Grenoble Alpes (VERIMAG)
- Volumetry and uniform sampling algorithms for timed regular expressions.
- Implementation of VolTRE, a library for uniform sampling of TRE.
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2021 - 2022 Vienna, Austria
Teaching Assistant
TU Wien
- Teaching assistant for three courses on mathematical modeling and simulation.
- Developed MATLAB material on ODE solvers.
- Supervised student projects on discrete-event, agent-based and cellular-automata modeling.
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2020 - 2021 Vienna, Austria
Research Freelancer
AIT Austrian Institute of Technology
- Sampling strategies for shape expressions; open-source tool ShapEx.
- Formal verification research on specification languages for real-valued time series.
- Co-authored two peer-reviewed papers on shape expressions.
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2019 Vienna, Austria
Research Intern
AIT Austrian Institute of Technology
- ANTLR4 parser for the specification language shape expressions.
- Prototype generating training data for a learned time-series monitor.
Education
Awards
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2026 Best Paper Award Nomination
HSCC 2026, CPS Week
Nominated in the Systems and Applications track for Declarative Scenario-based Testing with RoadLogic, Saint-Malo, France.
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2022 Best Creative Lab Idea Award
CPS Summer School
Awarded for the RAVYOLO tool pitch at the Creative Lab, Pula, Sardinia.
Skills
Programming: Python, MATLAB, ANTLR4, C/C++, R
Methods: Formal methods, answer-set programming, modeling & simulation, MCMC sampling
Tools: Git, LaTeX, Markdown, Docker
Languages
German : Native speaker
English : Full working proficiency