Sixian Receives Fellowship From Ronald Kee-Young Chao Fund

Ronald Kee- Young Chao acted as Novel Enterprises’ Managing Director from 1987-1996, and has served as vice-chairman and director since. He is committed to investing in future generations of leaders through education and established the Asian Future Leaders Scholarship program. Sixian is a first-year Ph.D. student working on the nano Manufacturing project in the Automation […]

Paper on Multi-Task Learning of Spatiotemporal Processes Published in JMS

A paper entitled “multi-task learning for data-efficient spatiotemporal modeling of tool surface progression in ultrasonic welding” is recently published in the Journal of Manufacturing Systems. The paper was co-authored by Haotian Chen, Yuhang Yang, and Chenhui Shao. This paper developed a multi-task learning method to enable data-efficient spatiotemporal modeling. The method was evaluated using tool […]

Yuquan’s Work on Multi-Objective Optimization Published in AIMS MBE

Ultrasonic metal welding (UMW) is a solid-state joining method with various industrial applications including battery assembly, automotive body construction, and electronic packaging. Among the advantages of UMW over conventional fusion welding are the ability to join dissimilar metals, reduced energy consumption and short welding time. Despite of its numerous advantages, this technique has a relative […]

ADML Receives Funding from National Science Foundation (NSF)

A new project entitled “Smart Drying Enabled by Multi-Source Data Fusion and Machine Learning” is funded by NSF through The Center for Advanced Research in Drying (CARD). CARD is an NSF-Sponsored Industry/University Cooperative Research Center (I/UCRC) devoted to research in drying of moist, porous materials such as food and other agricultural products, forestry products, chemical […]

ADML Receives Funding from Center for Adaptive, Resilient Cyber-Physical Manufacturing Networks

The Center on Adaptive, Resilient Cyber-Physical Manufacturing Networks (AR-CyMaN) is recently established by the University of Illinois at Urbana-Champaign’s Grainger College of Engineering and Zhejiang University. AR-CyMaN aims to define the science and technology for creating smart and highly flexible manufacturing networks. We will develop machine learning solutions that can enhance the flexibility of manufacturing. […]

Siyuan and Yuquan’s Work on Fault Diagnosis Published in IEEE/ASME Transactions on Mechatronics

Fault diagnosis for rolling elements in rotating machinery persistently receives high research interest due to the said machinery’s prevalence in a broad range of applications. State-of-the-art methods in such setups focus on effective identification of faults that usually involve a single component while rejecting noise from limited sources. This paper studies the data-based diagnosis of […]

Boge and Siyuan’s Work on Human Action Detection and Monitoring Published in Computers in Industry

This paper presents a new approach for temporal detection of short human activities in untrimmed videos. Most present methods for temporal action detection, to our best knowledge, are trained on public action datasets that feature actions spanning up to tens and hundreds of seconds. However, it is often desired in manufacturing, transportation, and other safety-critical […]

Qasim Will Start His Career at MathWorks

Qasim has accepted a Full-Time job offer from MathWorks. He will join MathWorks’s Engineering Development Group (EDG) after his graduation in May 2020. As an application support engineer, he will help customers solve complex technical problems using MATLAB and Simulink. He will also work with various internal teams on software development projects.  His MS research […]

Min-Hsiu Will Start His Internship at iRobot

Min-Hsiu received an internship offer from iRobot and will join iRobot as a Data Science intern in 2020 summer. He will conduct research projects on predictive maintenance of robot vacuums, which is closely related to the field of data science, machine learning, and predictive analytics. The projects are aiming to provide novel solutions for the […]

Prof. Shao Won an NSF CAREER Award

Prof. Chenhui Shao has won an NSF Faculty Early Career Development (CAREER) award for his project “Dynamic Process-Attribute-Data-Performance Modeling to Enable Smart Ultrasonic Metal Welding.” The CAREER Program offers NSF’s most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances […]