Welcome to the Automation and Digital Manufacturing (ADM) Lab! The ADM Lab is directed by Dr. Chenhui Shao. To learn more about our research, please visit the research and publications pages.

Recent News

  • Kai, Zheng, and Hao’s Work on Multi-body Dynamics Modeling Published in VSDNovember 2, 2018

    Read the paper here.

  • An aerial view of campus
    Welcome Qasim, Hao and Lucy!October 18, 2018

    We are pleased to announce that Qasim Nazir, Hao Wu and Lucy Sun join our ADM Lab in this semester. Mr. Qasim Nazir is a M.S. student in the Department of Mechanical Science and Engineering at UIUC. He received his B.S. degree in Mechanical Engineering from National University of Sciences & Technology, Pakistan in 2015. Mr. Hao Wu is a one […]

  • Project on Waste Heat Recovery Funded by DOEAugust 21, 2018

    Our project “Roll-to-Roll Manufactured Hybrid Metal-Polymer Heat Exchangers with Anti-Fouling and Self-Monitoring for Waste Heat Recovery”  is funded by the U.S. Department of Energy (DOE).  We will collaborate with Prof. Sinha, Prof. Miljkovic, Prof. Ferreira and Prof. Salapaka to develop an innovative waste heat recovery method that aims to resolving the long-standing challenges of low-grade heat recovery through four instinctive […]

  • Prof. Shao Named Among SME 30 Under 30July 30, 2018

    Prof. Chenhui Shao was named to SME’s 2018 class of 30 Under 30 honorees, a program that recognizes individuals who exemplify extraordinary promise in manufacturing and the STEM skills that support the discipline. The program is designed to recognize and encourage young people who can make a difference in manufacturing, whether on the shop floor, in an engineering or R&D […]

  • Yuhang’s Work on Spatial Modeling Published in ASME JMSEJuly 30, 2018

    Read the paper here.

  • Project on Deep Learning and High-Speed Train Funded by CRRCOctober 13, 2017

    Our project “Research on Key Technology of Rail Transit-Based Wireless Sensor Intelligence Data” is funded by China Railway Rolling Stock Corporation (CRRC). We will work with Professor Niao He‘s lab to develop deep learning and sensor fusion methodologies that will enhance the intelligence and automation of rolling stock, especially high-speed trains. The project (budget $300k) is […]