Talks

Graphon Pooling in Graph Neural Networks. EUSIPCO January 19, 2020. [video][slides]

Algebraic Neural Networks: Symmetry and Stability (delivered by Professor Alejandro Ribeiro). Workshop on Equivariance and Data Augmentation at University of Pennsylvania, September 4, 2020. [Video][slides]

Blue Noise and Optimal Sampling on Graphs (Dissertation Defense). Department of Electrical and Computer Engineering, University of Delaware, July 2019. [slides]

Blue-Noise Sampling on Graphs. 2019 Graph Signal Processing Workshop, MINNEAPOLIS, MN. [slides]

Optimal Sampling Sets in Cographs. 2019 IEEE Data Science Workshop, MINNEAPOLIS, MN. [link]

Sampling of Graph Signals with Blue Noise Dithering. 2019 IEEE Data Science Workshop, MINNEAPOLIS, MN. [link]

Blue Noise and Optimal Sampling on Graphs (Dissertation Proposal). Department of Electrical and Computer Engineering, University of Delaware, April 2019. [slides]

Introduction to Compressed Sensing. Seminar of the Computational Imaging and Data Science Group. Department of Electrical and Computer Engineering, University of Delaware, Fall 2015. [slides]

Compressed Sensing (Basics). Computational Imaging Seminar (ELEG 667), Fall 2016. [slides]

Compressed Sensing (Reconstruction Algorithms). Computational Imaging Seminar (ELEG 667), Fall 2016. [slides]