Dr Ciprian Zavoianu
|Biography||I am a Research Fellow in the School of Computing Science and Digital Media and my general research interests for the past 10+ years have included theoretical and practical concepts of Artificial Intelligence (AI). In particular, my research is primarily concerned with evolutionary computation algorithms and their application on complex real-world problems that have solutions predicated on combining simulation, optimization and data-driven modelling.
I earned my PhD in Computer Science in 2015 from the Johannes Kepler University Linz (JKU) in Austria with a thesis focused on developing and enhancing multi-objective evolutionary algorithms used for solving computationally-intensive optimization problems.
Before joining the RGU in 2019, I worked as a university assistant & postdoc researcher at the JKU for approx. 4 years. While this position entailed regular teaching activities for computer science and mathematics subjects, it also enabled me to apply and build upon my PhD research as I actively contributed to three large (EUR 2mil+) interdisciplinary industrial research projects funded by the FFG (the Austrian Research Promotion Agency).
|Research Interests||Key reasearch foci:
Secondary research foci:
Data Mining & Machine Learning (especially when used for on-the-fly surrogate modelling)
Timetabling and Rostering
Parallel / Distributed Computing
|Teaching and Learning||Postgraduate and PhD students.
Open PhD studentship:
Optimisation of Operational Performance Based on Data-Driven Dynamic Thermal Models.
For details, please see: http://www.comp.rgu.ac....dynamic-thermal-models/
|Scopus Author ID||https://www.scopus.com/authid/detail.uri?authorId=36095402800|