An AI-first Approach to Accelerating Autonomous Trucking

Of interest, December 7 

Reminder: December 7 Talk, "An AI-first Approach to Accelerating Autonomous Trucking" with Raquel Urtasun, Founder and CEO of Waabi

If you haven't done so yet, register now  for the next free ACM TechTalk, "An AI-first Approach to Accelerating Autonomous Trucking," presented on Wednesday, December 7 at 12:00 PM ET/17:00 UTC by Raquel Urtasun, Founder and CEO of Waabi, Professor at the University of Toronto, and a co-founder of the Vector Institute for AI. The co-editors of the ACM Journal on Autonomous Transportation Systems, Satish Ukkusuri and Vaneet Aggarwal, of Purdue University, will moderate the questions and answers session following the talk.

Leave your comments and questions with our speaker now and any time before the live event on ACM's Discourse Page.     And check out the page after the webcast for extended discussion with your peers in the computing community, as well as further resources on AI and autonomous vehicles.

(If you'd like to attend but can't make it to the virtual event, you still need to register to receive a recording of the TechTalk when it becomes available.)

Note: You can stream this and all ACM TechTalks on your mobile device, including smartphones and tablets.

Founded in 2021 by world-leading AI pioneer, Raquel Urtasun, Waabi is a next-generation autonomous vehicle company with a radically new AI-first approach to autonomous driving, starting with the trucking industry. In this talk, Raquel will dive into the ground-breaking AI-first approach needed to accelerate autonomy, and what it takes to bring the promise of self-driving closer to commercialization than ever before.

Duration: 60 minutes (including audience Q&A)

Presenter:   Raquel Urtasun, Founder and CEO, Waabi

Raquel Urtasun is the Founder and CEO of Waabi, a Full Professor in the Department of Computer Science at the University of Toronto, and a co-founder of the Vector Institute for AI. She is a world leading expert in AI for self-driving cars. Her research interests include ML, computer vision, robotics, AI, and remote sensing. Her lab was selected as an NVIDIA NVAIL lab. Urtasun is a recipient of an NSERC EWR Steacie Award, an NVIDIA Pioneers of AI Award, a Ministry of Education and Innovation Early Researcher Award, three Google Faculty Research Awards, an Amazon Faculty Research Award, two NVIDIA Pioneer Research Awards, a Connaught New Researcher Award, a Fallona Family Research Award, and two Best Paper Runner up Prize awarded at CVPR in 2013 and 2017 respectively. She was also named Chatelaine 2018 Woman of the year and one of Toronto's 2018 top influencers by Adweek magazine. She was a panelist at ACM's 75th Anniversary Celebration in 2022.

Moderator: Satish Ukkusuri, Professor, Purdue University; Co-editor of the ACM Journal of Autonomous Transportation Systems

Satish Ukkusuri is a Reilly Professor in the Lyles School of Civil Engineering at Purdue University and Director of the Urban Mobility Networks and Intelligence (UMNI) Lab. He is a University Faculty Scholar (2017-present), ASCE Fellow, Fulbright Fellow, a selectee of the National Academy of Engineering (NAE) JAFOE conference (2016), a selectee of the National Academy of Science (NAS) Arab American Frontiers of Science, Engineering and Medicine in 2017 and a CUTC/ARTBA Faculty Award (2011) among other awards. He has published more than 350 peer reviewed papers in journals such as PNAS, Nature Communications, and Transportation Research Part B. He is the Editor in Chief of the Journal of Big Data Analytics in Transportation and co-Editor in Chief of the ACM Journal of Autonomous Transportation.

Moderator:

Vaneet Aggarwal, Professor, Purdue University; Co-editor of the ACM Journal of Autonomous Transportation Systems

Vaneet Aggarwal is currently a Full Professor in the School of Industrial Engineering & the School of Electrical and Computer Engineering (by courtesy) at Purdue University, where he has been since 2015. Prior to this, he worked as a researcher at AT&T Labs-Research. He received his BTech degree in 2005 from the Indian Institute of Technology, Kanpur, India and MA and PhD degrees in 2007 and 2010 from Princeton University, all in Electrical Engineering. Aggarwal was the recipient of Princeton University's Porter Ogden Jacobus Honorific Fellowship in 2009. He received the Vice President Award, Senior Vice President Award, and Key Contributor Award while at AT&T Labs. He also received Purdue’s Most Impactful Faculty Innovator Award in 2020. He is currently serving on the Editorial Board of the IEEE/ACM Transactions on Networking and is a co-Editor in Chief of the ACM Journal of Autonomous Transportation.

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