Tin worked at the SADA lab in the academic year 2021/2022 while on a Swiss Government Excellence Scholarship (ESKAS). He completed his Ph.D. from the University of Zagreb, Croatia in 2022 where he is now a Post-doctoral researcher.
Within the scholarship program, my research focused on solving wave-based inverse problems with a help of implicit neural representations.
I received the B.Sc. and M.Sc. degrees in electrical engineering and information technology from the University of Zagreb, Croatia, in 2015 and 2017, respectively, where I am currently a Ph.D. candidate in electrical engineering, expecting to graduate in 2022.
You can contact me via email at tin.vlasic at fer.hr
Research interests
My research interests are in the field of image and signal processing, specializing in particular on inverse problems, sparse modeling, and sampling theory.
Selected papers
- T. Vlašić, D. Seršić, "Sampling and Reconstruction of Sparse Signals in Shift-Invariant Spaces: Generalized Shannon's Theorem Meets Compressive Sensing," IEEE Transactions on Signal Processing, 2022, in press.
- T. Vlašić, D. Seršić, "Single-Pixel Compressive Imaging in Shift-Invariant Spaces via Exact Wavelet Frames," arXiv: 2106.00404, 2021.
- T. Vlašić, D. Seršić, "Sub-Nyquist Sampling in Shift-Invariant Spaces," 2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam, 2021, pp. 2284-2288.
- T. Vlašić, I. Ralašić, A. Tafro, D. Seršić, "Spline-Like Chebyshev Polynomial Model for Compressive Imaging," Journal of Visual Communication and Image Representation, vol. 66, 102731, 2020.