Ali Dadgar is an Adjunct Associate Professor of Mechanical Engineering with over 20 years of industrial experience specializing in systems engineering and multivariate machines. His expertise spans industrial automation, digital control, system identification, optimal control, robotics, and machine vision. He focuses on machine intelligence and real-time AI systems, with a particular emphasis on semi-supervised and unsupervised machine learning, to develop multi-agent, non-deterministic, and partially observable Artificial Intelligence architectures. His work is dedicated to solving complex industrial challenges through the advancement of tailored hardware and smart software solutions for modern applications.