题 目：Applications of Custom 3D Printing and Machine Learning for Pre-Surgery Planning
时 间：2018年7月6日（星期五） 10:00-11:30
讲座内容：3D printing is finding more and more applications in medical fields, particularly personalized healthcare, due to its capabilities of producing patient-specific products, devices, and prototypes/models. This presentation introduces an innovative method of producing patient-specific, tissue-mimicking heart valves for cardiologic treatment and intervention by integrating metamaterial design and multi-material 3D printing techniques. The physiological models can help surgeons or cardiologists make informed diagnosis, and optimize pre-surgery planning. In addition, the tissue-mimicking heart valves can provide effective means for generating “virtual patients” that can be used to augment historical patient data. This talk presents a machine learning method for developing more reliable predictive models with fusion of actual patients data and the 3D printed “virtual patients” data. The predictive models can be used by physicians and surgeons to make more informed decisions and pre-surgery plans. The method is demonstrated through an application case for transcatheter aortic valve replacement (TAVR) procedure for treating aortic stenosis conditions.
报告人简介：Dr. Chuck Zhang is Professor in the School of Industrial & Systems Engineering and Georgia Tech Manufacturing Institute at Georgia Institute of Technology. He is also an affiliated faculty member of Georgia Tech Manufacturing Institute. Prior to joining Georgia Tech, Dr. Zhang served as Professor and Chair in the Department of Industrial & Manufacturing Engineering and the Deputy Director of the High-Performance Materials Institute at the Florida State University. Dr. Zhang received his Ph.D. degree (1993) in Industrial Engineering from the University of Iowa. Prior to the doctoral degree, he received an MS degree (1990) in Industrial Engineering from the State University of New York at Buffalo, and MS (1987) and BS (1984) degrees in Mechanical Engineering from Nanjing University of Aeronautics and Astronautics in China. His current research interests include additive manufacturing, cyber-physical systems, advanced composites/nanocomposites manufacturing, and inspection, maintenance and repair (IMR) of advanced systems. Dr. Zhang has managed or conducted over 40 research projects sponsored by major federal agencies including National Science Foundation, National Institute of Standards and Technology, Department of Defense, and Department of Veterans Affairs, as well as industrial companies such as ATK, Cummins, Delta Air Lines and Lockheed Martin. He is a fellow of Institute of Industrial & Systems Engineers (IISE). He has published over 180 refereed journal articles and 200 conference papers. Dr. Zhang also holds 24 U.S. patents.