Seminars

• Deep Learning for Inverse Problems in Imaging: Review and Open Problems. School of Mathematical Science, Liaocheng University, December 2022.  

• Plug-and-Play Regularization: Fixed-Point and Objective Convergence. School of Mathematical Science, Liaocheng University, August 2021.  

Tutorials

• Large-Scale Convex Optimization for Image Processing. Summer School on Large-Scale Optimization, IISc, July 2016.

• Sparse Signal Processing. Department of Avionics, Indian Institute of Space Science and Technology (IIST), August 2014.

• Semidefinite Relaxation: Theory, Algorithms, and Applications. SPCOM, Indian Institute of Science, July 2014.

Talks

•  Bilevel Optimization. Faculty Development Program, Indian Institute of Space Science and Technology (IIST), Thiruvananthapuram, Dec 2024.

• A Surprising Application of the Contraction Mapping Theorem. Dept. of Applied Mathematics and Scientific Computing, IIT Roorkee, March 2024.

• The Deep Learning Revolution in Imaging. National Conference on Computational Imaging, Bangalore, Jan 2023.

• On the Theoretical Convergence of Plug-and-Play Iterations. School of Mathematical Science, Liaocheng University, Jan 2021.

• Regularization using Denoising. School of Mathematical Science, Liaocheng University, Dec 2019.

• Fast Kernel Filtering. School of Mathematical Science, Liaocheng University, Dec 2019.

• Linear Transforms for Image Processing. Ramaiah Institute of Technology, March 2019.

• Optimizing to Learn. AICTE Short-Term Course, TKM College of Engineering, Kollam, Dec 2018.

• Optimization for Deep Learning. Workshop on AI and ML, Ramaiah Institute of Technology, July 2018.

• Linear Algebra in Image Processing. Department of Mathematics, Bangalore Institute of Technology, April 2018.

• Bernstein’s Proof of the Weierstrass Approximation Theorem. EE Seminar, IISc, April 2018.

• Semidefinite Approximation of Quadratic Problems. Summer School on Large-Scale Optimization, IISc, July 2016.

• Sparse Models and Algorithms for Image Processing. Government Engineering College, Thrissur, Dec 2015.

• Convex Models and Algorithms for Image Processing. DRDO, Bangalore, Aug 2015.

• Convex Relaxation and Its Applications. Department of Electrical Engineering, NIT Raipur, Aug 2015.

• Convex Optimization Models and Algorithms for Image Processing. EEE Department, IIT Guwahati, May 2015.

• Sparse Signal Processing. Department of Computer Science and Engineering, IIT Varanasi, May 2015.

• Localization of Point Clouds from Incomplete Distances. EECS Students Research Symposium, IISc, Feb2015.

• Rigid Registration of Point Clouds using Semidefinite Programming. IIIT Delhi, Dec 2014.

• Non-Linear Filters for Edge-Preserving Smoothing. Ramaiah Institute of Technology, Bangalore, Dec 2014.

• Foundations of Sparse Signal Processing. International Conference on  Signal and Speech Processing, Kollam, August 2014.

2013 and earlier

• Robust Image Restoration in Patch Space. A. K. Chowdhuri School of Information Technology, University of Calcutta, March 2013.

• Robust Optimization Frameworks for Image Restoration and Molecular Conformation. IIT Bombay and IISc Bangalore, March 2013.

• Global Registration of Multiple Point Clouds using Semidefinite Programming. IDeAS Seminar, Princeton University, February 2013.

• Robust Patch-Based Image Restoration. IDeAS Seminar, Princeton University, October 2012.

• Constant-Time Bilateral Filter Using Shiftable Kernels. BIG Seminar, EPFL, November 2010.

• Fast Space-Variant Elliptical Filtering Using Box Splines. IOA Talk, EPFL, July 2009. 

• Construction of Hilbert Transform Pairs of Wavelet Bases and Optimal Time-Frequency Localization. ICASSP, April 2008. 

• Construction of Hilbert Transform Pairs of Wavelet Bases and Gabor-like Transforms. IOA Talk, EPFL, June 2007.