Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published an article on 'Generalized Input-Output Hidden Markov Models for Supervising Industrial Processes'.
- Discussed challenges in integrating data-based digital twins into the process industry.
- Participated in research work related to electricity load forecasting.
Research Experience
- Involved in the research of green energy project Flex+ at Software Competence Center Hagenberg.
- Developed the PaRLSched C++ library for optimally scheduling parallel threads on a many-core platform using distributed reinforcement learning.
Background
Research interests include artificial intelligence, intelligent decision support systems, predictive modeling and learning, and industrial process supervision.
Miscellany
Gave an interview for I4EU discussing SCCH and the role of AI in Industry 4.0.