Welcome to the Automation and Digital Manufacturing Lab! We are an interdisciplinary research group that conduct research and innovation activities to enhance the automation and intelligence of manufacturing. In order to achieve this mission, we develop and apply methodologies from a wide range of disciplines, e.g., machine learning, statistics, and automatic control. To learn more about our research, please visit the research and publications pages.

Recent News

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    Kuan-Chieh receives fellowship from the Ministry of Education in TaiwanSeptember 13, 2021

    The Government Scholarship to Study Abroad, a fellowship funded by the Ministry of Education in Taiwan, encourages exceptional doctoral students to study abroad in STEM and other fields. This fellowship is competitive since only ten students have the honor to receive it at the end. Kuan-Chieh is a Ph.D. student working on the quality control […]

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    Paper on Hybrid Multi-Task Learning-Based Response Surface Modeling Published in JMSApril 28, 2021

    A paper entitled “hybrid multi-task learning-based response surface modeling in manufacturing” is recently published in the Journal of Manufacturing Systems. The paper was co-authored by Yuhang Yang and Chenhui Shao. This paper developed a hybrid multi-task learning-based method tocost-effectively model the response surfaces of multiple similar-but-not-identical manufacturing processes. The method was evaluated using a simulation-based numerical […]

  • ADML Wins New NSF Project on Digital BiomanufacturingMarch 2, 2021

    The project is titled, “Collaborative Research: A Digital Manufacturing Platform to Democratize Biological Tissue Access Using Smart Two-Photon Polymerization.” The funding comes from the NSF’s Advanced Manufacturing (AM) program within the Division of Civil, Mechanical and Manufacturing Innovation (CMMI). Working with our collaborators at Brown University, we will create a digital manufacturing platform for cloud-based […]

  • ADML Receives Funding from AIFSFebruary 11, 2021

    The Artificial Intelligence Institute for Next Generation Food Systems, or AIFS, was launched October 1, 2020 to solve the world’s biggest challenges to crop and food production facing our planet. For more information about AIFS, please see this news article and the AIFS website. In the first year of the Institute, we will work on […]

  • ADML Receives Funding from DOEFebruary 10, 2021

    The group receives funding from the Advanced Manufacturing Office of the U.S. Department of Energy (DOE). The project, entitled “Novel Energy-Efficient Drying Technologies for Food, Pulp and Paper, and other Energy Intensive Manufacturing Industries,” aims to develop innovative dryer platforms for the food and forest products industry to reduce energy consumption and to improve product […]

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    Review Paper on Data-Driven Intelligent 3D Surface Measurement Published in MachinesFebruary 3, 2021

    A feature article titled “data-driven intelligent 3D surface measurement in smart manufacturing: review and outlook” has been published in Machines recently. The paper was co-authored by Yuhang Yang, Zhiqiao Dong, Yuquan Meng and Chenhui Shao. This paper reviewed and summarized existing research in interpolation and sampling design techniques in various manufacturing scenarios, which can potentially […]