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Dr Ciprian Zavoianu
|Biography||Dr Zavoianu is a Research Fellow in the School of Computing and his research interests for the past 10+ years have included theoretical and practical concepts of Artificial Intelligence (AI).
In particular, his 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.
Dr Zavoianu was awarded a 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 RGU in 2019, he worked as a postdoc researcher at the JKU for 4 years. While this position entailed regular teaching activities for computer science and mathematics subjects, it also enabled him to apply and build upon his PhD research as he actively contributed to three large (€2m+) interdisciplinary industrial research projects funded by the FFG (the Austrian Research Promotion Agency).
|Research Interests||Key research 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.|
|Scopus Author ID||https://www.scopus.com/authid/detail.uri?authorId=36095402800|