Dr. Ayush Bhandari 

 
Associate Professor/Sr. Lecturer (UK)

Inverse Problems • Computational Sensing • Applied Mathematics

profile pic

Office 802
Communications & Signal Processing Group
Department of Electrical and Electronic Engg.
Imperial College London, London SW7-2AZ

Email:

  • Official:   a.bhandari \(\alpha\tau\) ic.ac.uk

  • Personal: ayush \(\alpha\tau\) alum.mit.edu

Phone: +44 (0) 20 759 46233

Research Interests

  • Areas: Inverse Problems | Signal Processing | Computational Sensing and Imaging

  • Applications: Scientific Imaging (3D, bio, medical etc.) | Novel Sensors | Internet-of-things


Recent History

2018 PhD, Massachusetts Institute of Technology
2018 Assistant Professor (Lecturer), Imperial College London
2019 August-Wilhelm Scheer Visiting Professor,
Department of Mathematics, Technical University of Munich
2019 UKRI Future Leaders Fellow [Link]
2022 Associate Professor (Sr. Lecturer), Imperial College London


Biographical Sketch

Ayush Bhandari received the Ph.D. degree from Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, in 2018, for his work on computational sensing and imaging which, in part, led to the co-authored open-access book Computational Imaging in MIT Press. He is currently a faculty member with the Department of Electrical and Electronic Engineering, Imperial College London, U. K. He has held research positions at INRIA (Rennes), France, Nanyang Technological University, Singapore, the Chinese University of Hong Kong and Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland among other institutes. He was appointed the August–Wilhelm Scheer Visiting Professor (Department of Mathematics), in 2019 by the Technical University of Munich.

He has been a tutorial speaker at various venues including the ACM Siggraph (2014,2015) and the IEEE ICCV (2015) and he was the keynote speaker at the Intl. Workshop on Compressed Sensing applied to Radar, Multimodal Sensing and Imaging (CoSeRa), 2018. Some aspects of his work have led to new sensing and imaging modalities which have been widely covered in press and media (e.g. BBC news). Applied aspects of his research have led to more than 10 US patents. His scientific contributions have led to numerous prizes, most recently, the Best Paper Award at IEEE ICCP 2020 (Intl. Conf. on Computational Photography) and the Best Student Paper Award (senior co-author) at IEEE ICASSP 2019 (Intl. Conf. on Acoustics, Speech and Signal Processing). In 2020, his doctoral work was awarded the IEEE Best PhD Dissertation Award from the Signal Processing Society. In 2021, he received the President's Medal for Outstanding Early Career Researcher at Imperial College London. In 2023, he was the recipient of the Frontiers in Science Award at the International Congress of Basic Science (ICBS) for his work on Unlimited Sensing.