Resume
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.