Rate My Professor Jeremy Bos

Jeremy P. Bos is an Associate Professor in the Department of Electrical and Computer Engineering at Michigan Technological University, where he also serves as Faculty Advisor for the Robotic Systems Enterprise. He earned his Ph.D. in Electrical Engineering from Michigan Technological University in August 2012 and his M.S. in Electrical Engineering from Villanova University. A licensed Professional Engineer in Michigan, Bos's career includes prior experience in the automotive industry and positions such as instructor and postdoctoral fellow. His research interests include atmospheric optics, statistical optics, quantum optics, image and signal processing, autonomous vehicles and vehicular networks, and industrial automation and controls. These areas inform his work on optical scintillation, lidar in adverse weather, underwater optical turbulence, and autonomous control on snow and ice.

Bos received the Air Force Office of Scientific Research Young Investigator Program award in 2017 for his project 'Imaging Theory and Mitigation in Extreme Anisoplanatism.' In 2022, he was selected for Michigan Technological University's Deans' Teaching Showcase. He was elevated to Fellow of SPIE in 2025, having been a Senior Member since 2016, and received the Matt Wolfe Award from the ECE Department in 2012. Key publications include 'Technique for simulating anisoplanatic image formation over long horizontal paths' in Optical Engineering (2012), 'Drivable path detection using CNN sensor fusion for autonomous vehicles in adverse winter weather' (2021), 'Winter adverse driving dataset for autonomy in inclement winter weather' (2023), 'Propagation geometry and its effect on peak scintillation of intensity' (2023), and 'Characterization of Underwater Optical Turbulence in Lake Superior Using an Autonomous Underwater Vehicle' (2025). His contributions extend to affiliations with the Great Lakes Research Center, Institute for Computing and Cybersystems, and Center for AI, as well as delivering engineering lectures, chairing faculty searches, and mentoring students in robotics and data sciences.