معرفی
Domagoj Matijević is an Associate Professor at the School of Applied Mathematics and Informatics within Josip Juraj Strossmayer University of Osijek. His academic career spans computational geometry, optimization algorithms, and bioinformatics applications.
- PhD in Computer Science (Algorithms and Complexity), Max-Planck-Institute for Computer Science, Saarbrücken (2007)
- MS in Computer Science, Saarland University (2002)
- BS in Mathematics and Computer Science, University of Osijek (2001)
Research interests focus on Machine Learning, Computational Geometry, and Bioinformatics, particularly through software tools like Fortuna for RNA splicing analysis and Trajan for comparing single-cell trajectories. His work bridges theoretical computer science with practical implementations in C++, Python, and CUDA for high-dimensional data processing.
- 2023 Best Paper Award at MIPRO's Artificial Intelligence Systems track
- Key contributor to Neural Network-Based Pollen Prediction and Well-Separated Pair Decomposition implementations
- Developed Trajan for dynamic pseudotime warping and Fortuna for novel splicing event detection
Currently teaches Algorithm Complexity, Computational Geometry, and Embedded Systems. Past projects include NVIDIA-funded GPU implementations and German-Croatian collaborations on kinetic spanners.
