Imperial College London

Dr. Ayush Bhandari

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Senior Lecturer



+44 (0)20 7594 6233a.bhandari Website




802Electrical EngineeringSouth Kensington Campus





For details: Personal Website.

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. 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.

Computational Imaging (MIT Press) | Link | PDF
Computational Imaging Book

My research revolves around the theme of Computational Sensing or how can we co-design hardware and mathematical algorithms so that popularly held limits in data capture and imaging can be broken.

  • Interested Postdoctoral researchers and PhD students can directly email me their CVs. For applying, please check the page on How to Apply.
  • MSc students interested in working with me can check the list of proposed thesis topics and setup a meeting via email.



Liu Z, Bhandari A, Clerckx B, 2023, λ–MIMO: massive MIMO via modulo sampling, Ieee Transactions on Communications, ISSN:0090-6778

Shtendel G, Florescu D, Bhandari A, 2023, Unlimited Sampling of Bandpass Signals: Computational Demodulation via Undersampling, Ieee Transactions on Signal Processing, Vol:71, ISSN:1053-587X, Pages:4134-4145

Bhandari A, 2022, Back in the US-SR: unlimited sampling and sparse super-resolution with Its hardware validation, Ieee Signal Processing Letters, Vol:29, ISSN:1070-9908, Pages:1047-1051

Fernandez-Menduina S, Krahmer F, Leus G, et al., 2022, Computational Array Signal Processing via Modulo Non-Linearities, Ieee Transactions on Signal Processing, Vol:70, ISSN:1053-587X, Pages:2168-2179


Beckmann M, Bhandari A, 2022, MR. TOMP : INVERSION OF THE MODULO RADON TRANSFORM (MRT) VIA ORTHOGONAL MATCHING PURSUIT (OMP), IEEE International Conference on Image Processing (ICIP), IEEE, Pages:3748-3752, ISSN:1522-4880

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