Formal Bio

Elvin Isufi was born in Vlore, Albania, in 1989. He received his Ph.D. degree from the Delft University of Technology, The Netherlands, in 2019 with advisor Prof. G. Leus. He received the M. Sc. degree (cum laude) and the B. Sc. degree in Electrical Engineering from the University of Perugia, Italy, respectively in 2014 and 2012 both with thesis advisor Prof. P. Banelli. Since July 2019, Elvin Isufi has been an Assistant Professor in the Faculty of Electrical Engineering, Mathematics, and Computer Science of the Delft University of Technology, The Netherlands. He is also co-founder and co-director of AIdrolab -one of the 24 TU Delft AI labs researching AI techniques for water networks and flood modeling. Before this appointment, he was a Postdoctoral Researcher at the University of Pennsylvania, United States with advisor Prof. A. Ribeiro. 

His research focuses on the fundamental study of network-based data processing and learning techniques. The meta-level question he targets is how to analyze and process network data to learn meaningful representations to better understand their behavior. For this, he relies on techniques from signal processing, machine learning, mathematical modeling, and network theory. Elvin Isufi has contributed to 100 papers, including 35 journal articles and 65 conference papers. He received the 2022 IEEE Signal Processing Society (SPS) Best PhD Dissertation Award and paper recognition awards at the IEEE CAMSAP 2017, DSLW 2021, DSLW 2022, and ICASSP 2023. In 2019, his Marie Curie individual fellowship proposal was selected for funding (not finalized) for the Got Energy Talent Program Co-fund with host Prof. A. G. Marques. He was a holder of the AdisuPG scholarship for an interrupted period of five years (2008-2013) and recipient of the Student of Excellence Award 2013 by the University of Perugia, Italy. 

Elvin Isufi is a member of ELLIS, IEEE SPS Signal Processing for Communication and Networking Technical Committee, and IEEE SPS Youth Professional Committee. He serves as Associate Editor for the IEEE Transactions on Signal Processing (2024-2026) and has held the same role for Elsevier Signal Processing (2021-2024) and was the Lead Guest Editor for the special issue Processing and Learning over Graphs in the same journal. He was with the organizing committees of the 2024 Graph Signal Processing Workshop and the 2020 EURASIP EUSIPCO conference.  He has served as an expert grant  reviewer for the U.S. Army Research Office (ARO) and as a panel member for the Research Foundation Flanders (FWO), Belgium.