Department of Applied Computing Mechatronics/MERET tenure-track faculty candidate Haluk Kucuk will give a research presentation on Thursday, April 11, 2024, from 4-5 pm in Rekhi 217. The title of Kucuk’s research presentation is, “Applied Artificial Intelligence for Diagnostics.”
Also on April 11, in Rekhi 101, faculty are invited to visit with Kucuk from 1:30-2:30 pm, and students may visit with Kucuk from 3-4 pm.
Talk Abstract
Dynamic machinery diagnostics stands out as a highly promising field for the application of Artificial Intelligence, serving as a key driver for sustainable, intelligent manufacturing, remote monitoring, diagnostics, inference, and closely intertwined technologies such as IoT and cloud computing. This presentation will delve into recent advancements in roller bearing and gear failure diagnosis through intelligent methodologies. Additionally, the efforts in commercial driver profiling utilizing CAN bus data and assessment outcomes will be addressed. Furthermore, the discussion will extend to biomedical applications, specifically focusing on Alzheimer’s disease diagnostics.
Candidate Bio
Haluk Kucuk holds a B.S. degree in Mechanical Engineering and an M.S. degree in Management Engineering from Istanbul Technical University, Turkey, obtained in 1993 and 1995, respectively. He also earned M.S. degree in Mechanical Engineering from Bogazici University, Turkey, in 1995, followed by a Ph.D. in Mechanical Engineering–Engineering Mechanics from Michigan Technological University, USA in 1999. His professional journey includes roles as an Integration Engineer at General Motors, Milford Proving Grounds, Michigan, USA, and positions within the Mechatronics Engineering and Electrical Engineering Departments at Marmara University, Turkey. He further enriched his career as a professor of robotics and artificial intelligence at the Department of Industrial Engineering, Universitat Ramon Llull, Barcelona, Spain. Presently, Dr. Kucuk serves as an Assistant Professor of Mechatronics within the School of Engineering and Technology at Lake Superior State University. His research interests encompass diagnostics, machine learning, and robotics.