معرفی
Domagoj Ševerdija is an Assistant Professor at the School of Applied Mathematics and Informatics at Josip Juraj Strossmayer University of Osijek, where he leads the Computer Science and Machine Learning Research Group. He holds a PhD in Electrical Engineering (2013) and a dual BS in Mathematics and Computer Science (2007) from the University of Osijek.
His research spans computational linguistics, natural language processing, machine learning, and combinatorial optimization, with applications in bioinformatics, robotics, and energy systems. Recent work focuses on neural language models, domain adaptation techniques, and efficient algorithm design.
Publications show strong interdisciplinary trends: computational linguistics (Croatian morphology, sentence embeddings), bioinformatics (cell typing, RNA splicing), and algorithm optimization (terrain guarding, matrix operations). Recent papers emphasize knowledge distillation, domain adaptation, and compressed representations.
Awards:
- Best paper award in AIS - Artificial Intelligence Systems track (MIPRO 2023)
Research funding includes:
- Computer-Assisted Corpus Linguistics (UNIOS, 2019-2020)
- Croatian Identity Network Framework (Adris Foundation, 2020-2021)
- Croatian Language in Global Cloud (Adris Foundation, 2019-2020)
Leads the Computer Science and Machine Learning Research Group, coordinating projects in NLP, computational geometry, and AI applications.
