معرفی
Filip Elvander is an Assistant Professor in the Department of Information and Communications Engineering at Aalto University, Finland. Previously, he served as a postdoctoral research fellow at KU Leuven (2020-2022), supported by the Research Foundation - Flanders (FWO).
- PhD in Mathematical Statistics (2020) and MSc in Industrial Engineering and Management (2015) from Lund University
- Assistant Professor at Aalto University since 2022
- Leader of the Structured and Stochastic Modeling Group (SSMG)
His research focuses on statistical signal processing, particularly inverse problems and optimal transport theory. Key application areas include acoustic localization, spectral estimation, audio processing, and spectroscopy. Current research directions involve:
- Optimal transport for geometric signal space modeling
- Spatio-temporal signal modeling in remote sensing and audio
- Misspecified modeling impacts and mitigation
- Optimal sampling schemes for efficient data collection
Recent publications demonstrate trends in optimal transport applications for multi-pitch estimation, room acoustics, sensor networks, and audio restoration. His group includes 5 PhD students working on these topics.
Awards include FWO postdoctoral fellowship (2021-2022). Collaborations span Lund University, KU Leuven, and Aalto University research teams.