This work will focus on adapting novel AI techniques concerning causality, explainable AI, and related concepts to high-impact areas including: – Manufacturing – Sustainability – Supply chain understanding – Agriculture – Medical diagnosis – Physical security.
Specific technical challenges to be addressed include: – Revolving “black box” issues – Addressing causality and not just correlation – Adapting solutions to complex environments – Software driven by active data, not canned datasets – Software with a clear transition path.

This is a Fall 2022 project.

Resume Copy of current transcript Work sample (paper, thesis, website, Github, etc.) Letters of rec not needed, but a plus;  minimum GPA: 3.00.

Email Paulo Shakarian: pshak02@asu.edu