Imperial College London

Dr. Ayush Bhandari

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Lecturer
 
 
 
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Contact

 

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

 
 
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Location

 

802Electrical EngineeringSouth Kensington Campus

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Summary

 

Summary

For details: Personal Website.

  • 2018: PhD, Massachusetts Institute of Technology
  • 2019: August-Wilhelm Scheer Visiting Professor
                 Department of Mathematics, TU Munich.
  • 2019: UKRI Future Leaders Fellowship (FLF).
  • 2021: Forthcoming Book
                 Computational Imaging (MIT Press).
  • 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.

Publications

Journals

Bhandari A, Conde MH, Loffeld O, 2020, One-Bit Time-Resolved Imaging, Ieee Transactions on Pattern Analysis and Machine Intelligence, Vol:42, ISSN:0162-8828, Pages:1630-1641

Bhandari A, Eldar YC, 2019, Sampling and super resolution of sparse signals beyond the Fourier domain, Ieee Transactions on Signal Processing, Vol:67, ISSN:1053-587X, Pages:1508-1521

Bhandari A, Raskar R, 2016, Signal processing for time-of-flight imaging sensors: an introduction to inverse problems in computational 3-D imaging, Ieee Signal Processing Magazine, Vol:33, ISSN:1053-5888, Pages:45-58

Conference

Graf O, Bhandari A, Krahmer F, 2019, ONE-BIT UNLIMITED SAMPLING, 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Pages:5102-5106, ISSN:1520-6149

Bhandari A, Krahmer F, Raskar R, 2017, On unlimited sampling, 2017 International Conference on Sampling Theory and Applications (SampTA), IEEE, Pages:31-35

More Publications