Alex Vakanski

Alex Vakanski, Ph.D., P.E., is an Associate Professor in the Department of Industrial Technology at the University of Idaho's College of Engineering. He is based at the Idaho Falls Center and teaches courses including Quality Assurance, Project Management, Robotics Manufacturing, Adversarial Machine Learning, and Applied Data Science with Python. His research focuses on industrial technology, robotics, and data-driven systems. He holds a Ph.D. in Mechanical and Industrial Engineering from Toronto Metropolitan University (2013), an M.A.Sc. in Mechanical Engineering from Ss. Cyril and Methodius University (2003), and a B.Eng. in Mechanical Engineering from the same institution (1998).

His professional background includes expertise in engineering education and applied technology. The page highlights his involvement in research projects and selected publications, though specific details are not listed here. No awards, grants, or advising activities are explicitly mentioned on this profile.

He is reachable at his office TAB 311 in Idaho Falls or via email: vakanski@uidaho.edu.