Photo of Subhadip Mukherjee

Subhadip Mukherjee

Assistant Professor, Dept. of Electronics & Electrical Communication Engineering, IIT Kharagpur, India

I am an Assistant Professor at the Department of Electronics & Electrical Communication Engineering, IIT Kharagpur, India, where I am a member of the Image Processing and Computer Vision (IPCV) Lab. Prior to this, I had a short stint as an Assistant Professor (Lecturer) in ML & AI at the Department of Computer Science, University of Bath, UK (Sep. 2022 to Apr. 2023).

Research areas

Deep learning Inverse problems Medical imaging Optimization

I work in the area of deep learning and inverse problems in imaging. My research objective is to develop novel, computationally efficient, and provably convergent algorithms for challenging image analysis problems by combining model- and data-driven approaches.

I was a postdoc with Prof. Carola-Bibiane Schönlieb at the Cambridge Image Analysis (CIA) group, DAMTP, University of Cambridge, where I was a member of the AI and image analysis team for the all-in-one cancer imaging project conducted by a group of mathematicians, computer scientists, and radiologists at the University of Cambridge.

Before joining Cambridge, I worked with Prof. Ozan Öktem as a postdoc in the imaging group at the Dept. of Mathematics, KTH, Sweden. I completed my Ph.D. in September 2018, at the Indian Institute of Science (IISc.), Bangalore, under the supervision of Prof. Chandra Sekhar Seelamantula.

Prospective students: I am looking for students with a strong mathematical background and programming skills for both Ph.D. and master's projects. Feel free to get in touch to set up a chat.

News & timeline

Jun 2026
Invited talk at SIAM Conference on Optimization (OP26), Edinburgh, presenting joint work with Hong Ye Tan and Carola-Bibiane Schönlieb at a mini-symposium organized by Camille Castera, Jalal Fadili, and Peter Ochs.
15 Jun–31 Aug 2026
Hosting Julian Seither, a summer intern from Heidelberg University, funded by the DAAD-RISE Worldwide programme.
May 2026
Review article on plug-and-play denoisers — their connections to monotone operator theory and classical regularization theory for inverse problems, with applications including Bayesian inversion.
Dec 2025
Paper accepted to AAAI (poster): a lower bound on the statistical complexity of approximating bounded Sobolev functions on compact manifolds, depending only on intrinsic manifold properties.
Apr 2025
Invited talk on "Operator sketching for deep unrolling" in an invited session at ICASSP 2025.
7 May 2024
Our book chapter "Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging" is accepted for the RICAM series "Data-driven models in inverse problems". Paper
2 May 2024
Paper on "Weakly convex regularisers for inverse problems" accepted at ICML-2024. Paper
25 Mar 2024
Paper on "Convergent regularization in inverse problems" accepted in Foundations of Computational Mathematics. Paper
23 Dec 2023
Paper on Langevin Monte Carlo with flow-based priors accepted to SIAM Journal on Imaging Sciences. Paper
27 Nov 2023
Paper on plug-and-play quasi-Newton methods accepted to SIAM Journal on Imaging Sciences. Paper
22 Oct 2023
Paper accepted for oral presentation at the NeurIPS-2023 Workshop. Paper
19 Oct 2023
Paper accepted in IEEE Transactions on Medical Imaging. Paper
5 & 7 Sep 2023
Two invited mini-symposium talks at the 11th Applied Inverse Problems Conference.
19 Aug 2023
Preprint on bilevel learning with inexact line-search. Paper
9 Aug 2023
Preprint on learned mirror descent. Paper
18 Jul 2023
Preprint on plug-and-play regularizers. Paper
12 May 2023
Joined IIT Kharagpur as Assistant Professor (Grade-I).
9 May 2023
Preprint on plug-and-play quasi-Newton methods. Paper
4 Apr 2023
Invited talk at the British Applied Mathematics Colloquium.
30 Mar 2023
Invited talk on data-driven optimization at QMUL.
1 Mar 2023
Paper on data-driven mirror descent accepted to SIAM Journal on Mathematics of Data Science. Paper
3 Feb 2023
Invited talk at the RNTW01 workshop, Isaac Newton Institute.
24–26 Jan 2023
Invited poster at the ICMS workshop in Edinburgh.
2 Dec 2022
Invited talk at the Bath Numerical Analysis seminar series.
2 Nov 2022
Talk at the University of Bath Centre for Mathematics and Algorithms for Data.
27 Sep 2022
Invited talk at the SIAM MDS22 conference.
13 Sep 2022
Invited talk on deep learning for image reconstruction at a UCL workshop.
1 Sep 2022
Joined University of Bath as Assistant Professor (Lecturer) in ML and AI.
27 Aug 2022
Accepted paper in IEEE Signal Processing Magazine. Paper
26 Jul 2022
Invited talk at the CMIH Academic Engagement Event, Cambridge.
14 Jun 2022
Preprint on learned mirror-descent. Paper
11 Jun 2022
Preprint on data-driven methods. Paper
26 May 2022
Invited talk at the IPMS-2022 mini-symposium.
16 Apr 2022
Invited talk at the IIT Kharagpur Winter School.
21–25 Mar 2022
Co-organized a mini-symposium at SIAM IS22.
21 Mar 2022
Presented work at the SIAM IS22 mini-symposium.
7 Mar 2022
Paper on INSIDEnet accepted to Medical Physics. Paper
28 Feb–4 Mar 2022
Co-organized the LMS lecture series.
22 Oct 2021
Paper on learning convex regularizers accepted to the NeurIPS-2021 Workshop. Paper
11 Oct 2021
Paper on StyleGAN inversion. Paper
28 Sep 2021
Paper on unrolled adversarial regularization accepted to NeurIPS-2021. Paper
8 Jun 2021
Paper combining end-to-end reconstructions and data-driven regularization. Paper, Code
30 Mar 2021
Work on adversarially learned iterative reconstruction. Paper, Code
11 Mar 2021
Talk with Prof. Schönlieb at the Oberwolfach Workshop.
9 Mar 2021
Talk at pre-GAMM 2021.
14 Aug 2020
Presented work at MCQMC-2020. Video
6 Aug 2020
Preprint on data-driven convex regularization. Paper, Code
23 Jul 2020
Presented Ph.D. work at SPCOM-2020. Video
26 Aug–30 Sep 2019
Visiting researcher at the Cambridge Image Analysis group.
26 Sep 2018
Defended Ph.D. thesis at IISc Bangalore.