“**Algebraic Neural Networks: Stability to Deformations**“. Talk at the THEORINET Retreat. [slides]

“**Algebraic Neural Networks: Stability to Deformations**” (delivered by professor Alejandro Ribeiro). Seminar “Physics meets Machine Learning” at CERN. [video]

“**Stability of Algebraic Neural Networks to Small Perturbations**“. ICASSP 2021. [video][slides]

**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]

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