Teaching

1) (Founder/Instructor) MIT 16.S498 Risk Aware and Robust Nonlinear Planning (rarnop)

In this graduate level course, I address state-of-the-art optimization-based techniques for control and safety verification of nonlinear uncertain autonomous systems.
Course Website:
1. https://ocw.mit.edu/courses/16-s498-risk-aware-and-robust-nonlinear-planning-fall-2019/
2. rarnop.mit.edu
Code Repository: https://github.com/jasour/rarnop19

1) (Founder/Instructor) MIT 16.S498 Risk Aware and Robust Nonlinear Planning (rarnop)

2) Generative AI Foundations: Algorithms and Architectures

2) Generative AI Foundations: Algorithms and Architectures

Generative AI Foundations: Algorithms and Architectures” offers a comprehensive and technical guide to modern generative modeling. It introduces fundamental principles, key algorithms—such as flow models, diffusion models, VAEs, GANs, and autoregressive models—and the neural architectures—such as CNNs, U-Nets, Transformers, and multimodal frameworks—that power state-of-the-art generative AI systems.
Course Website: https://jasour.github.io/generative-ai-course