Summary
Andrew Mahyari is a research professor and machine learning researcher with dual degrees in Electrical Engineering and Statistics and over a decade of R&D experience across academia and industry. He has published 25+ papers, holds nine US and international patents, and has led teams working on computer vision, reinforcement learning, deep generative models, recommendation systems, cybersecurity, speech processing, and graph-based methods. His career includes applied R&D at ABB Robotics—where he contributed to patented predictive-maintenance technology—and deep methodological work on graph mining, tensor methods, and distributed compressive sensing from his Michigan State research. Known for bridging theory and real-world systems, he combines rigorous academic training (PhD) with hands-on engineering leadership to turn complex high-dimensional ML problems into deployable solutions.
8 years of coding experience
4 years of employment as a software developer
Dual Degree: Doctor of Philosophy (PhD), Electrical, Electronics and Communications Engineering, 4.00, Dual Degree: Doctor of Philosophy (PhD), Electrical, Electronics and Communications Engineering, 4.00 at Michigan State University
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at _
English