Co-authored open-access book 'Computational Imaging' published by MIT Press; received multiple awards including Best Paper Award at Sampling Theory and Applications Conference 2025, IEEE ICCP 2020, Best Student Paper Award (senior co-author) at IEEE ICASSP 2019; his doctoral work was awarded the IEEE Best PhD Dissertation Award from the Signal Processing Society in 2020; recipient of the President's Medal for Outstanding Early Career Researcher at Imperial College London in 2021; recipient of the Frontiers of Science Award at the International Congress of Basic Science (ICBS) in 2023; awarded the ERC Starting Grant in 2024 for his work on computational sensing.
Research Experience
2018 - present, Associate Professor, Department of Electrical and Electronic Engineering, Imperial College London; 2019, August-Wilhelm Scheer Visiting Professor, Department of Mathematics, Technical University of Munich.
Education
2018, Ph.D., Massachusetts Institute of Technology, for his work on computational sensing and imaging.
Background
Research Interests: Inverse Problems, Signal Processing, Computational Sensing and Imaging. Applications: Scientific Imaging (3D, bio, medical etc.), Novel Sensors, Internet-of-things.
Miscellany
Elected member of the Signal Processing Theory and Methods Technical Committee of the IEEE Signal Processing Society and an Associate Editor for IEEE Transactions on Computational Imaging; has given keynotes and tutorials at various prestigious academic conferences; his research has been widely covered in press and media (e.g., BBC news).