Mahmoud Dinar

Education: Ph.D. in Mechanical Engineering, Arizona State University
M.S. in Product Development, Chalmers University of Technology (Sweden)
B.S. in Manufacturing Engineering, Amirkabir University of Technology – Tehran Polytechnic (Iran)

Courses Taught:

• MEGR 7090 – Machine Learning in Manufacturing and Materials
• MEGR 2240 – Computational Methods for Engineers

Biography:

Mahmoud Dinar is an Assistant Professor in the department of Mechanical Engineering and Engineering Science. He received his PhD. from Arizona State University in 2015. Prior to joining UNC Charlotte, he was a postdoctoral fellow at the Georgia Institute of Technology, and an Assistant Professor at California State University Sacramento.

His research primarily involves implementing a variety of computational frameworks and representations to understand and aid engineering design and manufacturing. Currently, his focus is on sustainable design through reuse by solving packing problems where recovered non-functional parts and pieces with different shapes and materials are combined into new functional parts, as well as capturing the knowledge of manufacturing process capability through machine learning. His research has been supported by the National Science Foundation.

Personal Website: https://coefs.charlotte.edu/mdinar/