Skip to main content
arc logo
Automotive Research Center
hero image

News

Updates about our researchers and their work will be featured here, from media coverage to conference appearances and journal publications.

Features

All features
Prof. Bogdan Epureanu standing in front of a presentation screen and behind a podium, explaining the contents to members of an audience in board room.
From Lab Models to Real Vehicles: College of Engineering Leadership Advisory Board visits U-M Automotive Research Center

On October 17, 2025, U-M’s Automotive Research Center (ARC) hosted the Dean’s Leadership Advisory Board for interactive demonstrations of cutting-edge autonomous and connected vehicle technologies. Board members experienced hands-on labs and real-time displays—from teleoperation and LiDAR-equipped vehicles to AI-driven control systems and driver cognitive monitoring. ARC researchers highlighted how models move rapidly from lab to hardware, supporting both defense and civilian advances. The visit reinforced ARC’s commitment to innovation, safety, and student growth, reflecting the center’s mission to solve complex mobility challenges through collaborative, real-world research.

Read more

In the Media

All articles

Announcements

All announcements
Oct 7, 2024

Dr. Bogdan I. Epureanu, ARC Director: “I’m genuinely excited about the University of Michigan’s ‘Campus Plan 2050: Blueprint for Our Future,’ which sets a clear vision for the growth and development of North Campus, home to ARC and the core of U-M’s mobility research. This forward-looking plan will significantly strengthen our infrastructure, supporting key research areas like autonomous vehicles, electric vehicles, and mobility technologies. By enhancing these capabilities, we are well-positioned to maintain our leadership in mobility research and continue making transformative contributions both nationally and globally.”

LinkedIn

Publications

All publications
Accounting for Test Variability through Sizing Local Domains in Sequential Design Optimization with Concurrent Calibration-based Model Validation