Arghya Sinha
👨🔬 Research Scholar
Department of Computational and Data Sciences
Indian Institute of Science, Bangalore
I am a Prime Minister Research Fellow (PMRF) at the Indian Institute of Science, currently engaged in the Lab of Imaging Sciences (LISA) within the Department of Electrical Engineering, IISc, under the guidance of Prof. Kunal Narayan Chaudhury.
My research lies at the intersection of computational imaging, inverse problems, optimization, and machine learning. I develop reconstruction algorithms that are both practically effective and mathematically robust, with a focus on integrating learned models into iterative reconstruction methods without compromising stability or interpretability. Much of my recent work focuses on deep denoiser-driven regularization, trainable nonexpansive denoisers, and stable iterative algorithms for inverse problems such as image deblurring and super-resolution.
Before joining IISc, I completed my master’s in Mathematics at IIT Kanpur, where I worked on embeddings of graphs on higher-dimensional manifolds under the supervision of Prof. Bidyut Sanki. I continue to have a broader interest in topology and related topics.
🗞️ News
June 2026 — 🎉 Paper accepted at ECCV 2026!
Stabilizing Deep Reconstruction Operators with Contractive Anchoring
Arghya Sinha · Trishit Mukherjee · Kunal N. ChaudhuryMay 2026 — 🎉 Paper accepted at ICML 2026!
Trainable Nonexpansive Denoisers for Contractive Image Reconstruction
Arghya Sinha · Aditya Banerjee · Trishit Mukherjee · Kunal N. ChaudhuryAugust 2025 — 🎉 Awarded the Qualcomm Innovation Fellowship 2025 India.
📚 Recent Publications
📖 A. Sinha and K. N. Chaudhury, Strong Convexity of (Kernel) Laplacian Regularization, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026
📖 A. Sinha, B. Kumar, C. D. Athalye and K. N. Chaudhury, “Linear Convergence of Plug-and-Play Algorithms with Kernel Denoisers,” IEEE Transactions on Signal Processing, 2025
📖 A. Sinha and K. N. Chaudhury, “FISTA Iterates Converge Linearly for Denoiser-Driven Regularization,” SIAM Journal on Imaging Sciences, vol. 18, issue 1, 2025
📖 A. Sinha and K. N. Chaudhury, “On the Strong Convexity of PnP Regularization Using Linear Denoisers,” IEEE Signal Processing Letters, vol. 31, pp. 2790-2794, 2024
🔬 Research Interests
- 📌 Convex and Nonconvex Optimization
- 📌 Image Processing and Algorithm Development
- 📌 Machine Learning and Deep Denoising Techniques
- 📌 Algebraic Topology and Topological Data Analysis
🏆 Scholarships and Awards
- 🎖️ Recipient of Prime Minister Research Fellowship (2022 - Present)
- 🎖️ NBHM Masters Scholarship (2019-2021)
- 🎖️ Academic Excellence Award (2019, IIT Kanpur)
- 🎖️ Academic Excellence Award (2020, IIT Kanpur)
- 🎖️ Member of Advanced Learner Group, IQAC, Maulana Azad College, Kolkata