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ECE Graduate Seminar Lecture by Dr. Alvin Chin, AI Researcher, BMW Group Technology Office, Silicon Valley

Wednesday, January 19, 2022
3:00 pm to 4:00 pm
Floor/Room #: 
Via Zoom Webinar - Pre-registration is required to attend this seminar. Please use the link below to register:

Title:

Machine Learning for the Connected Car

 

Abstract:

As cars are now being connected to the Internet and the car platforms become like computers with hardware and software, machine learning and AI become paramount for connected and autonomous driving as well as predictive vehicle maintenance. Data mining plays an important part in the evolutionary development of these systems. Connected and self-driving vehicles generate vast amounts of data that can be used for building internal user profiles and building predictive models of preferences. Machine learning can help connected and autonomous vehicles find optimal patterns to create safe, useful, and enjoyable passenger experiences. In this talk, I will explain three applications for applying machine learning for the connected car in journey management, predictive vehicle maintenance and personal preferences.

 

Speaker:

Dr. Alvin Chin

AI and Emerging Technology Researcher, Innovation and Research Department,

BMW Group Technology Office,Silicon Valley

 

Bio:

Dr. Alvin Chin is AI and Emerging Technology Researcher in the Innovation and Research Department at BMW Group Technology Office USA in Silicon Valley.  His current research involves exploring AI and emerging technologies to solve business problems at BMW, in particular causal machine learning, complexity management, neuromorphic computing and detecting parts involved in a car crash. Previously, he was Senior Machine Learning Researcher at BMW Technology Corporation in Chicago where he worked on big data and machine learning for improving driving behavior. Prior to BMW, he was Senior Researcher at Microsoft and Nokia in Beijing working on big data and analytics for browsing behavior in Xpress Browser, and Senior Researcher at Nokia Research Center working on mobile social networking in particular proximity social networks for inferring social activity, collaboration and recommendation in real physical environments. Dr. Chin has authored more than 30 publications and 10 patents including those pending. He has a Bachelors degree in Computer Engineering from the University of Waterloo, Masters degree in Software Engineering from the University of Waterloo, and a PhD degree in Computer Science from the University of Toronto. Alvin can be contacted at alvin.chin@ieee.org and his website is https://nam11.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.alvinychin.com%2F&data=04%7C01%7Csweeney%40wpi.edu%7C6fbeb46e1ff74bdc280808d9d4c597c7%7C589c76f5ca1541f9884b55ec15a0672a%7C0%7C0%7C637774767412738364%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=2LphWblCJ3GMSN%2FR%2FMKaudAKTBTogT6Fml5BMUXCInM%3D&reserved=0.

 

Host: Professor Alex Wyglinski