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 primary research is on convex and nonconvex optimization for the development of novel algorithms that help in improved image reconstruction. We use supervised learning as well as classical frameworks to design data-driven priors for regularization in a large class of inverse problem frameworks such as superresolution and deblurring. We establish convergence guarantees for various algorithms using optimization and algebraic approach to obtain stable and high-quality reconstructions.
Additionally, I have a keen interest in topology and topological data analysis. For my master’s project at IIT Kanpur, I explored embeddings of graphs on higher-dimensional manifolds, under the supervision of Prof. Bidyut Sanki.
📚 Recent Publications
📖 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