Imperial College London

Dr. Ayush Bhandari

Faculty of EngineeringDepartment of Electrical and Electronic Engineering




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




802Electrical EngineeringSouth Kensington Campus





For details: Personal Website.

  • 2018: PhD, Massachusetts Institute of Technology
  • 2018: Lecturer/Asst. Prof. at Imperial College London
  • 2019: August-Wilhelm Scheer Visiting Professor
                 Department of Mathematics, TU Munich.
  • 2019: UKRI Future Leaders Fellowship (FLF).
  • 2021: Forthcoming Book
                 Computational Imaging (MIT Press) | Link | PDF
    Computational Imaging Book
  • Previously. Visiting Researcher at INRIA-Rennes, NTU Singapore, CUHK Hong Kong and EPFL Switzerland among other institutes.

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.



Bhandari A, Krahmer F, Poskitt T, 2021, Unlimited sampling from theory to practice: fourier-prony recovery and prototype ADC, Ieee Transactions on Signal Processing, ISSN:1053-587X

Bhandari A, Krahmer F, Raskar R, 2020, On unlimited sampling and reconstruction, Ieee Transactions on Signal Processing, Vol:69, ISSN:1053-587X, Pages:3827-3839


Bhandari A, Beckmann M, Krahmer F, 2021, The Modulo Radon Transform and its Inversion, 28th European Signal Processing Conference (EUSIPCO), IEEE, Pages:770-774, ISSN:2076-1465

Bouis V, Krahmer F, Bhandari A, 2021, Multidimensional Unlimited Sampling: A Geometrical Perspective, 28th European Signal Processing Conference (EUSIPCO), IEEE, Pages:2314-2318, ISSN:2076-1465

Fernandez-Menduina S, Krahmer F, Leus G, et al., 2021, DoA Estimation via Unlimited Sensing, 28th European Signal Processing Conference (EUSIPCO), IEEE, Pages:1866-1870, ISSN:2076-1465

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