Guest Seminar: "Towards Guaranteed Artificial Intelligence Methods"

Abstract:

In recent years, the integration of artificial intelligence (AI) into mechatronics systems has demonstrated significant promise across diverse industries, including manufacturing automation, smart manufacturing, and aerospace engineering. However, ensuring the reliability and trustworthiness of AI procedures, particularly in sensitive manufacturing applications, remains a critical challenge. In this research seminar, I will address the issue of guaranteeing AI procedures through hybrid control methods, which facilitate the development of certified learning algorithms essential for ensuring dependable performance in complex mechatronic systems. Furthermore, I will explore how adversarial machine learning techniques can enhance safety and security in control procedures for manufacturing and aerospace applications. Through these discussions, we aim to advance the application of AI in critical industrial domains while ensuring robustness and reliability in operational outcomes.

The seminar explores the practical implications of these methodologies, demonstrating their potential to advance manufacturing automation, optimize smart manufacturing processes, and fortify control systems in aerospace engineering. By examining the intersection of certified learning and adversarial machine learning with mechatronics, this presentation illuminates innovative pathways toward enhancing efficiency, safety, and resilience across vital industrial sectors.

Biography:

Dr. Ladan Khoshnevisan is a Postdoctoral Fellow at the University of Waterloo, specializing in Guaranteed Artificial Intelligence, Certified Control, and Smart Intelligent Systems. Her research focuses on developing advanced control methodologies that integrate AI techniques with certified control approaches to provide safe and verified operations in industrial applications. She holds a Ph.D. in Electrical Engineering/Control Systems from the University of Tehran, where she designed and implemented various control strategies. Ladan has also contributed to interdisciplinary research as an International Visiting Ph.D. Student in the Department of Applied Mathematics and a Research Assistant in the Department of Mechanical and Mechatronics Engineering, both at the University of Waterloo. She is also a member of the Association of Women in Mathematics (AWM), advocating for diversity and innovation in STEM fields.