April 12, 2023
Dr. Wang receives NSF CAREER Award "Transforming Machine Learning Models Developed in Labs to Manufacturing Plants for In-Process Quality Prediction". More information about the award can be found on the award webpage.
April 5, 2023
Matthew Russell has successfully defended his Ph.D. dissertation "Generalizable and adaptable data-driven methods for overcoming barriers to practical industrial condition monitoring". Big Congratulations, Dr. Russell!
July 14, 2022
Yuming Wang successfully defended his master thesis "Explainable Data-driven Analysis in Industrial Motor Condition Monitoring and Fault Diagnosis". Congrat, Yuming!
June 30, 2022
Dr. Wang was awarded the 2022 Sandra L. Bouckley Outstanding Young Manufacturing Engineers from the Society of Manufacturing Engineers, at the 2022 North American Manufacturing Research Conference (NAMRC) held at Purdue University in June 2022.
Jan 1, 2022
With the fellowships, Brennen will work on predictive analysis for machine health monitoring and predictive maintenance, and Xijia will work on low-cost IoT, edge-cloud data processing solutions for machine predictive maintenance.
Jan 4, 2022
Dr. Wang has been appointed as Associate Editors of IEEE Sensors Journal (IF: 3.301) and Journal of Intelligent Manufacturing (IF: 6.485). He will process submission on the topic of sensors data processing for IEEE Sensors Journal.
June 24, 2021
Our paper "Stochastic Modeling for Tracking and Prediction of Gradual and Transient Battery Performance Degradation" received the Outstanding Technical Paper Award from the 2021 North American Manufacturing Research Conference (NAMRC).
August 13, 2020
Our paper "Transferable Two-stream Convolutional Neural Network for Human Action Recognition" received the Outstanding Technical Paper Award from 2020 North American Manufacturing Research Conference (NAMRC).
July 24, 2020
We have received another prestigious award from National Science Foundation for the project “NRI: FND: Intelligent Co-robots for Complex Welding Manufacturing through Learning and Generalization of Welders Capabilities”. This 3-year project will start from 08/01/2020.
July 21, 2020
We have received a prestigious award from NSF for the project “Understanding Manufacturing Process Dynamics and Machine Tool Anomaly Detection Through Process Sensing and Machine Learning”. This 3-year project will start from 08/01/2020.
July 09, 2020
Dr. Wang served as a session chair at the 53rd CIRP Conference on Manufacturing Systems (CMS) and 2020 International Symposium on Flexible Automation (ISFA), which were virtually held this year due to Covid-19.
July 3, 2020
Our collaborative paper with Case Western Reserve University, "Attention Mechanism-Incorporated Deep Learning for AM Quality Prediction", won the Best Paper Award at the 53rd CIPR Conference on Manufacturing Systems, which is virtually hosted this year.
May 10, 2020
Our project, "Stochastic Modeling of Lithium-ion Battery Aging for Predictive Maintenance and Advanced Health Management", was selected by the University of Kentucky Energy Research Prioritization Partnership (ERPP) for seed grant support.
August 01, 2019