Ivan Dokmanić

Prof. Dr. Ivan Dokmanić is an Associate Professor for Data Analytics at the Department of Mathematics and Computer Science, University of Basel, where he leads the Research Group Signal and Data Analytics. His work bridges data science, signal processing, and physics to address challenges in computational imaging, acoustics, and audiovisual reasoning.

His research focuses on developing principled machine learning and signal processing techniques grounded in physical models. Key interests include:

• Signal Processing (especially scientific and wave-based)
• Scientific Machine Learning (SciML)
• Inverse Problems and Imaging
• Computational Acoustics and Audio
• Seismic Signal Processing

Dokmanić is the principal investigator of the ERC Starting Grant project SWING (Signals, Waves, and Learning), which aims to create a data-driven framework for wave-based inverse problems. This project underscores his leadership in integrating physical models with modern learning techniques.

He has received significant recognition through competitive funding, most notably the ERC Starting Grant, highlighting the innovative and high-impact nature of his research. While no detailed list of publications is provided in the text, his work appears to trend toward interdisciplinary methodologies combining physics, signal processing, and machine learning for scientific discovery.

Dokmanić is actively involved in research and academic leadership. He supervises a research group and contributes to the academic mission of the University of Basel. Although specific advisees are not listed, his group likely includes PhD and master’s students working on advanced topics in data analytics and signal processing. He has secured substantial grant funding, indicating active research projects and collaboration opportunities.

He is affiliated with the Research Group Signal and Data Analytics, which serves as the hub for his interdisciplinary investigations into wave phenomena, inverse modeling, and data-driven scientific computing.