Tuesday, July 01
03:30 PM - 04:00 PM
Live in San Francisco
Less Details
Presenting the results of our World Cafés: The moderators summarize the key takeaways of their World Café Round Tables on the main stage and share the main findings with all attendees.
Received the B.S. and M.S. degrees in aerospace engineering in 2012 and the Ph.D. degree in reliability engineering and system analysis in 2018, both from the Bauman Moscow State Technical University, Russia. From 2012 to 2016, used to be a Reliability Engineer in several major Russian radar and electronics companies. Since 2016, has been a System/Functional Safety Engineer with RoboCV, Russian-based warehouse automation start-up based in Skolkovo Innovation Centre, Moscow. Later in 2017 joined Arrival Ltd., a UK-based electric vehicles start-up where he was in the position of the Head of Functional Safety. Dr. Babaev is the author of more than 25 publications in reliability and safety engineering, as well as 2 patents in automotive and machinery safety areas. His research interests include reliability and safety engineering, system analysis, machine learning and statistics methods in safety. Dr. Babaev is a co-guest Editor of the MDPI 'Artificial Intelligence for Connected and Automated Vehicles' journal. He is also a part of UK ISO 21448 workgroup and TUV Rheinland certified functional safety engineer.
Experienced automotive and mobility consultant with over 18 years of diverse experience in strategic planning, research, and technology & management consulting, with a strong focus on smart mobility solutions, alternate propulsion technologies (electric, hydrogen, sustainable fuels), and advanced automotive technologies. An incisive understanding of the ever-evolving market technology and consumer trends and their implications for products and services. Led multiple consulting project studies across topics such as on electrification, digital technologies, market fit and technology forecast, organization benchmarking, M&A due diligence, strategic sourcing, manufacturing business case, consumer behaviors, competitor benchmarking and solutions. Adept at leading global teams and collaborating across departments and stakeholders to achieve business objectives.
Sudeep Fadadu is a Staff Engineer and Tech Lead at Aurora, where he develops fail-safe perception systems for self-driving vehicles. Sudeep has 10+ years of experience building algorithms for motion prediction, object detection, and sensor fusion technologies. Before joining Aurora, Sudeep was a research engineer at Vicarious AI (now part of Alphabet), where he developed closed loop AI control system and target tracking system for robotic arm platforms. He holds masters in computer vision from Carnegie Mellon University where he specialized in Machine Learning and Geometry based Computer Vision.
The Pop in Your Job – What drives you? Why do you love your job?
The challenge of safely integrating these powerful technologies into society is what truly drives me. I'm drawn to the development of novel approaches that can ensure AI-based automation is not only powerful but also safe, scalable, and truly beneficial to all. What excites me most is bridging the gap between theoretical safety standards and practical implementation of those in ML based systems. It's the opportunity to make a tangible, positive impact on the world that I love about my job.
Hands on leader in Autonomous Driving industry, expertise in both hardware (camera, radar, lidar, ultrasonics, control modules) and software (computer vision). Lead cross-functional teams to deploy large-scale production systems. Refine product development processes to foster innovation. Open to hands-on leadership roles in startups working on cutting edge tech.
Eyad Zeino is an experienced engineer specializing in localization and mapping for autonomous systems, with a strong background in both passive and active sensing technologies. He has contributed to the development of advanced algorithms for robotics and autonomous driving applications. His expertise spans software development across multiple layers, from low-level integration to high-level decision-making systems. Eyad’s work focuses on creating reliable and efficient solutions to support autonomy in complex environments.
Mohammad Horani is a visionary Director of Advanced Engineering in the automotive industry with a strong background in telecommunications and electronics engineering. He leads teams developing next-generation cockpit solutions, including driver and occupant monitoring systems, exterior sensing, and infotainment. He also oversees projects that leverage mobility technologies for positive societal impact. With degrees from the University of Aleppo and the University of Detroit Mercy, he contributes to research in automotive security, connectivity, and software platforms.