معرفی
Rebeka Čorić is a Lecturer at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek. She holds a PhD in Computing from the Faculty of Electrical Engineering and Computing, University of Zagreb (2021), an MSc in Mathematics from the University of Osijek (2014), and a BSc in Mathematics from the same institution (2011). Her research focuses on fitness landscape analysis, genetic programming, scheduling optimization, and container relocation problems. She actively contributes to projects like the Hyper-Heuristic Design for Container Relocation (Croatian Science Foundation, 2023-2027) and has co-authored over 10 peer-reviewed publications in journals like *Expert Systems with Applications* and *Journal of Language Modelling*. Her teaching includes courses on Heuristic Algorithms, Web Programming, Data Structures, and Deep Learning for Natural Language Processing.
Her research has addressed diverse topics, including energy-efficient container relocation rules, Croatian verb stem analysis via neural networks, and pollen concentration prediction using RNN-based models like PollenNet. She has also explored hyperheuristic approaches to scheduling problems and fitness landscape analysis in genetic programming. Her work bridges theoretical advancements with practical applications in logistics, linguistics, and environmental science.
Professionally, she has presented at international conferences (e.g., GECCO, MIPRO) and contributed to service activities like workshops at the Festival of Science and teaching at summer schools. Her current projects emphasize automated heuristic design and optimization techniques across multiple disciplines.
