- CIMS Lab: 2024 Year in Review
Looking back on 2024, we reflect on an eventful and rewarding year for our group at the University of Michigan—a year of growth, achievements, and exciting new directions. Here are some highlights from the past year: 🌟 Student Success Our students have excelled, securing full-time job offers and internships at […] - Paper on uncertainty-aware constrained optimization for air convective drying of thin apple slices using machine-learning-based response surface methodology
Our paper, “Uncertainty-aware constrained optimization for air convective drying of thin apple slices using machine-learning-based response surface methodology,” has been published in the Journal of Food Engineering. This study introduces a Monte Carlo simulation approach to quantify inherent uncertainties in sample characteristics during food drying. By integrating machine-learning-based response surface […] - Paper on WeldMon: A Cost-effective Ultrasonic Welding Machine Condition Monitoring System Published in IEEE UEMCON (Best Paper Award)
Our paper titled “WeldMon: A Cost-effective Ultrasonic Welding Machine Condition Monitoring System” has been published in the IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). The paper was co-authored by Beitong Tian, Ahmadreza Eslaminia, Kuan-Chieh Lu, Yaohui Wang, Prof. Klara Nahrstedt, and Prof. Chenhui Shao. WeldMon: A Cost-effective Ultrasonic […] - Exciting Summer 2025 Internships
Li-Wei will begin a summer internship in Research and Development for Advanced Joining Processes. He will utilize his advanced expertise in deep learning and computer vision methods for non-destructive quality monitoring in joining systems. His Ph.D. research focuses on leveraging computer vision and machine learning for manufacturing process monitoring, including […] - Paper Published at SME NAMRC 52 Conference
Our PhD student Alice published a paper and presented her research at NAMRC 52 at the Knoxville Convention Center (Knoxville, TN) this summer. She also visited Oak Ridge National Laboratory, one of the world’s premier research institutions, for advanced manufacturing tools. Alice’s paper titled “Deep Learning of 3D Point Clouds […] - Yuquan has joined City University of Hong Kong as a Assistant Professor
Yuquan Meng has joined the Department of System Engineering in City University of Hong Kong as an Assistant Professor. His primary research interests lie in data-efficient learning, physics-informed machine learning, in-situ process monitoring and smart decision-making, manufacturing systems control and automation and 3D metrology. […] - Shichen, Sixian, and Alice Launching Their Internships at Meta, Wayfair, and TSMC This Summer
Shichen will begin an internship position as a Software Engineer in Machine Learning at Meta in Summer 2024. She will utilize advanced machine learning methods to conduct feature engineering and improve the content click-through rate for Facebook apps. Sixian will start a summer internship as a Machine Learning Scientist (PhD) at Wayfair in Boston. […] - Manan will start working as a Senior Data Scientist at C3 AI
After graduating with his Ph.D. in Mechanical Engineering (with a graduate minor in Statistics) from our lab, Manan will start his career in industry as a Senior Data Scientist at C3.ai in Redwood City, CA. Founded by veteran Silicon Valley entrepreneur Tom Siebel, C3 AI is a leading provider of Enterprise AI […] - ADML celebrates Yuquan and Manan’s Ph.D. graduation!
Two students from our lab at Illinois – Yuquan Meng and Manan Mehta – graduated with their Ph.D. degrees this May! Both students were hooded by Prof. Shao in the university-wide Ph.D. hooding ceremony held on 10th May 2024 at the State Farm Center at the University of Illinois Urbana-Champaign. Our […] - PAPER ON HYBRID PHYSICS-GUIDED DATA-DRIVEN MODELING IN TWO-PHOTON LITHOGRAPHY PUBLISHED IN JOURNAL OF MANUFACTURING PROCESS
Our paper titled “Hybrid physics-guided data-driven modeling for generalizable geometric accuracy prediction and improvement in two-photon lithography” has been published on Journal of Manufacturing Processes. The paper was co-authored by Sixian Jia, Jieliyue Sun, Andrew Howes, Prof. Michhelle R. Dawson, Prof. Kimani C. Toussaint Jr. , and Prof. Chenhui Shao. Two-photon […]
