Artificial Intelligence Expert Panel

Tuesday, November 14, 2023 12:30 pm - 1:20 pm EST (GMT -05:00)
AI Expert Panel

Join the Department of Systems Design Engineering for a panel discussion with artificial intelligence experts.

Dr. Bryan Tripp, Associate Professor, Systems Design Engineering

Dr. Tripp uses computational models to study how the brain processes information. He integrates neurobiological models and deep learning to study visuomotor processes. He is also interested in applying these models in challenging robotics tasks, to better understand how the brain deals with the complex physical world.

Dr. Mihaela Vlasea, Associate Professor, Mechanical and Mechatronics Engineering

Additive manufacturing is rapidly changing the manufacturing landscape. Dr. Vlasea’s research focuses on innovative design, process optimization and adoption of new materials for powder bed fusion and binder jetting additive manufacturing processes. The research goals are to bridge the technological gaps necessary to improve part quality, process repeatability and reliability.

Dr. Alex Wong, Canada Research Chair in Artificial Intelligence and Medical Imaging, Professor, Systems Design Engineering

Dr. Wong is internationally recognized for his pioneering contributions to operational artificial intelligence and computational medical imaging. His work on scalable and explainable deep learning aims at making AI technology accessible to everyone, and at gaining a deeper understanding in how neural networks think. A prolific innovator, his creative work in computational medical imaging has led to the invention of a new form of MRI designed for cancer detection, the first blood-flow imaging system for observing arterial and venous flow from a distance, and a spectral light-field fusion microscope without lenses.

Panel moderator: Dr. Ewen MacDonald, Assistant Professor, Systems Design Engineering

Dr. MacDonald is an expert in hearing, speech perception and production, and hearing-assistive device research. His current focus is timing of turn taking in interactive conversation and how this can be used to evaluate hearing-aid signal processing.

Attend in-person in E5-6006 or on Teams