Summary
Saman Khamesian is a research-driven machine learning engineer and PhD candidate in Computer Science at Arizona State University with eight years of experience applying ML to real-world problems. He combines academic rigor—4.0 GPA in his PhD program and advanced degrees in AI and computer engineering—with industry impact, having built production-ready LSTM models, recommender systems, and robust eKYC spoof-detection pipelines. Currently affiliated with Mayo Clinic and ASU, his research focuses on improving Type 1 diabetes outcomes by developing data-driven closed-loop insulin delivery tools and a smartphone/smartwatch app that fuses CGM and behavioral data. Comfortable spanning end-to-end ML lifecycles from data curation and pipeline automation to deployment, he is notable for translating signal-processing and reinforcement-learning ideas into clinical and financial applications.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.0/4.0, Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 at Arizona State University
Master's degree, Artificial Intelligence, 3.88/4.0 (17.59/20.0), Master's degree, Artificial Intelligence, 3.88/4.0 (17.59/20.0) at Shahid Beheshti University
Diploma, Mathematics and Physics, 19.53/20.0, Diploma, Mathematics and Physics, 19.53/20.0 at National Organization for Development of Exceptional Talents (Sampad)
English, Persian