The RANCS (Resilient and Networked Control Systems) research group takes immense pleasure in extending a warm welcome to Dr. Ali Arab, who will be delivering a presentation on the subject of “Agile Safe Autonomous Systems.” This distinguished talk is scheduled for Wednesday, November 08, 2023, from 5:00 pm to 6:00 pm. We eagerly anticipate your presence at this engaging event.
Nov 08, 2023, 5:00 pm – 6:00 pm, EST
Location: ONLINE LINK
(Please contact firstname.lastname@example.org if you have any difficulties with the provided link)
Title: Agile Safe Autonomous Systems
Presenter: Dr. Aliasghar (Ali) Arab
Bio: Dr. Ali Arab, one of the Co-founders of General Autonomous Inc., holds a distinguished academic background, having earned his Doctor of Philosophy (Ph.D.) degree in Mechanical and Aerospace Engineering from Rutgers University. He boasts an extensive professional career spanning eight years, with valuable experience garnered in both the autonomous vehicle and telecommunications industries. Dr. Arab’s research pursuits encompass a wide array of fields, including autonomous vehicles, intelligent robotics, dynamic systems, control theories, motion planning, networked systems, reinforcement learning, and constrained optimization. Beyond his professional endeavors, Dr. Arab also engages in the sport of semi-professional rollerblade skating during his leisure time.
Dr. Arab presents an overview of his PhD dissertation focused on ensuring the safety of autonomous systems. The presentation will delve into the realm of safe motion planning and control with a specific application to autonomous race cars. Dr. Arab provides a thorough examination of select research projects, offering insights into critical aspects related to autonomous system safety. These discussions will encompass rigorous testing and verification procedures, as well as the crucial phase of practical implementation and deployment in real-world scenarios. The goal of this presentation is to provide students and attendees with a deeper understanding of the complexities involved in guaranteeing safety within autonomous systems.