Dr Zavoianu leads the Net Zero Operations research programme in the National Subsea Centre 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.
Ciprian 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.
Over the years, Ciprian’s research has been applied internationally for (i) improving hi-tech manufacturing processes, (ii) discovering optimal trade-offs in the design of various electrical and mechanical assemblies, (iii) modelling and optimising multi-modal transport networks. He has published over 40 peer-reviewed articles in leading AI conferences and journals including: GECCO, PPSN, CEC, Knowledge-Based Systems, Applied Soft Computing, Engineering Applications of Artificial Intelligence, Information Sciences and Transactions on Evolutionary Learning and Optimization.
Research Interests
Key research foci:
Evolutionary Computation
Multi-Objective Optimization
Secondary research foci:
Data Mining & Machine Learning (especially when used for on-the-fly surrogate modelling)
Timetabling and Rostering
Parallel / Distributed Computing
