Deepak K. Gupta bio photo

Deepak K. Gupta

Postdoctoral Researcher
University of Amstedam
Amsterdam, Netherlands

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I am currently working as a Research Scientist at Transmute AI Research solving fundamental and applied problems at the intersection of deep learning and computer vision. Earlier, I was a postdoctoral researcher affiliated with QUVA Lab and Informatics Institute, at University of Amsterdam. I am primarily interested in developing algorithms for efficient deep learning and computer vision.

I am also involved in research projects at the intersection of physics, mathematics and machine learning focused towads applications in medical imaging and geophysics. If you would like to collaborate on exciting research problems from these domains, please drop me an email. Regarding internships or graduation projects with me, check these opportunities.

Recent News

[Apr 2021] [-New-] Paper titled Improving solar cell metallization designs using convolutional neural networks is accepted at SimDL workshop of ICLR 2021 and can be accessed here.
[Mar 2021] Paper titled Rotation Equivariant Siamese Networks for Tracking is accepted at CVPR 2021 and can be accessed here.
[Jan 2021] Paper titled ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations is accepted at ICLR 2021 and can be accessed here.

More news here.


  1. PhD in Computational Science from Delft University of Technology (2013-17)
    Thesis: Topology Optimization for High Resolution Designs.

  2. M.Sc. Tech (5 yr.) in Applied Geophysics from Indian Institute of Technology (ISM), Dhanbad (2008-13)
    Thesis: Soft Computing for Intelligent Interpretation of Petroleum Data and Characterization of Reservoirs.

Recent Publications

  1. Deepak K. Gupta, Nathan de Bruijn, Andreas Panteli, Efstratios Gavves, 2019
    Tracking-Assisted Segmentation of Biological Cells
    Workshop: Medical Imaging at NeurIPS (Med-NeurIPS) 2019

  2. Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders, 2019
    Model Decay in Long-Term Tracking

  3. Deepak K. Gupta, Fred van Keulen, Matthijs Langelaar, 2019
    Design and analysis adaptivity in multi-resolution topology optimization
    Journal: International Journal for Numerical Methods in Engineering (IJNME)

  4. Deepak K. Gupta, Matthijs Langelaar, Fred van Keulen, 2018
    QR-patterns: artefacts in multiresolution topology optimization
    Journal: Structural and Multidisplinary Optimization (SMO)


Uni. Amsterdam
Royal Dutch Shell
TU Delft
NWO Netherlands
IIT(ISM) Dhanbad
Uni. Sydney
Winter 2011-12
Summer 2012