Vedran Mihal

E-mail:
Address: Universitätstrasse 6, 8092 Zürich, Switzerland
Office: CAB H 65

Hello! I am a PhD Student under the supervision of Markus Püschel, specializing in Graph Signal Processing. My current research involves developing models and Fourier-based representations for signal processing on directed and directed acyclic graphs. My broader research interests include machine learning and methods for analyzing graph and other irregularly structured data.

Publications

Möbius Fourier Basis For DAGs With Nonnegative Edge Weights
Vedran Mihal, Markus Püschel
to appear at ICASSP 2026 - IEEE International Conference on Acoustics, Speech and Signal Processing

Orthogonal Fourier Analysis on Directed Acyclic Graphs via Möbius Total Variation
Vedran Mihal, Markus Püschel
IEEE Transactions on Signal Processing, 2025

Learning Signals and Graphs from Time-Series Graph Data with Few Causes
Panagiotis Misiakos, Vedran Mihal and Markus Püschel
ICASSP 2024 - IEEE International Conference on Acoustics, Speech and Signal Processing

Möbius Total Variation for Directed Acyclic Graphs
Vedran Mihal, Markus Püschel
ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing

Porting Signal Processing from Undirected to Directed Graphs: Case Study Signal Denoising with Unrolling Networks
Vedran Mihal, Bastian Seifert and Markus Püschel
EUSIPCO 2022 - 30th European Signal Processing Conference

Education

Master (M.Sc.) in Mathematics, ETH Zürich, Switzerland	September 2020
Bachelor (B.Sc.) in Computer Science, Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia	July 2018