Speaker: Amir Kordijazi, Ph.D, Assistant Professor of Industrial Engineering, College of Science, Technology, and Health, University of Southern Maine
About the speaker: Dr. Kordijazi is an interdisciplinary scholar with a strong passion for teaching and research, specializing in the field of Industry 4.0. His expertise centers around the application of artificial intelligence (AI) and data analytics in industrial context. In 2021, he earned his Ph.D. in Industrial & Manufacturing Engineering from the University of Wisconsin, Milwaukee. During his doctoral studies, he dedicated his research to developing and employing AI/ML and statistical techniques, aimed to enhance the design, characterization, and manufacturing processes of high-performance alloys and nanocomposites.
In the fall of 2023, Dr. Kordijazi took on the position of Assistant Professor of Industrial Engineering at the University of Southern Maine. His research group is involved in thrusts such as computer vision for industrial applications, predictive analytics for advanced manufacturing processes, and autonomous experimentation. Recently, his lab secured grants from the Maine Space Grant Consortium (MSGC) and the Maine Economic Improvement Fund (MEIF) to establish self-driving materials manufacturing labs. This facility aims to design innovative materials with functional and structural applications. Additionally, in spring 2024, he commenced an Inaugural Associate position at the Institute of Medicine at the University of Maine, where he directs his research towards designing novel materials and manufacturing processes with biomedical applications.
Learn more about Dr. Kordijazi
About the seminar: This seminar explores the integration of artificial intelligence with biomedical and advanced manufacturing research through three innovative projects. The first focuses on optimizing a novel cellulose nanofibril coating process for single-use medical waste using machine learning, aiming to replace plastics with sustainable materials. The second investigates enhancing the growth rate of mycelial materials by leveraging computer vision and convolutional neural networks for quantitative growth analysis. The third project involves developing a low-cost, reusable microdroplet generator in collaboration with a Maine-based paper mill, incorporating machine learning to optimize droplet production and automate result interpretation. Together, these projects showcase cutting-edge interdisciplinary research that addresses pressing environmental, medical, and technological challenges.
The event is free but registration is required. Please use this registration link to sign up for the Zoom event.