Dawn Tilbury

Professor

Corresponding Member of the Division of Mathematics and Natural Sciences abroad since 2026

  • Professor and Chair, Robotics Department, University of Michigan

Dawn Tilbury

Orcid-ID:

0000-0002-2510-0556

Research Areas:

  • Electrical Engineering, Electronics, Information Engineering
  • Automation
  • Robotics
  • Control engineering
  • Computer integrated manufacturing (CIM)

Profile:

CV/Website

Publications:

Website

Selected Memberships:

  • Member, US National Academy of Engineering
  • Fellow, IEEE (Institute of Electrical and Electronics Engineers)
  • Fellow, ASME (American Society of Mechanical Engineers)
  • Fellow, IFAC (International Federation of Automatic Control)
  • Life Member, SWE (Society of Women Engineers)

Selected Prizes:

  • ASME Dynamic Systems and Control Division, Henry M. Paynter Outstanding Investigator Award, 2022
  • John R. Ragazzini Education Award, American Automatic Control Council, 2025
  • Hideo Hanafusa Outstanding Investigator Award, International Symposium on Flexible Automation, 2022
  • ASME Dynamic Systems and Control Division, Michael J. Rabins Leadership Award, 2014
  • SWE Distinguished Engineering Educator Award, 2012

Selected Publications:

  • J. L. Hellerstein, Y. Diao, S. Parekh, and D. M. Tilbury, Feedback Control of Computing Systems, Wiley–IEEE Press, 2004.
  • J. Moyne, Y. Qamsane, E. C. Balta, I. Kovalenko, J. Faris, K. Barton, and D. M. Tilbury, “A Requirements Driven Digital Twin Framework: Specification and Opportunities,” IEEE Access, 8:107781–107801, June 2020.
  • J. K. Yook, D. M. Tilbury, and N. R. Soparkar, “Trading Computation for Bandwidth: Reducing Communication in Distributed Control Systems using State Estimators,” IEEE Transactions on Control Systems Technology, 10(4), pp. 503–517, July 2002.
  • F.-L. Lian, J. R. Moyne, and D. M. Tilbury, “Network Design Consideration for Distributed Control Systems,” IEEE Transactions on Control Systems Technology, 10(2), pp. 297–307, March 2002.
  • D. M. Tilbury, “Cyber-Physical Manufacturing Systems,” Annual Review of Control, Robotics, and Autonomous Systems,” 2:427–443, May 2019.