Raed Al Kontar is an assistant professor at the University of Michigan College of Engineering. He received his PhD in Industrial and Systems Engineering at the University of Wisconsin Madison. He received his M.S. in statistics from the University of Wisconsin Madison in 2017 and his B.S. in Civil and Environmental Engineering from the American University of Beirut in 2014.
Professor Al Kaontar's research broadly focuses on developing data analytics and decision-making methodologies specifically tailored for Internet of Things (IoT) enabled smart and connected products/systems. He envisions that most (if not all) engineering systems will eventually become connected systems in the future. Therefore, his key focus is on developing next-generation data analytics, machine learning, individualized informatics and graphical and network modeling tools to truly realize the competitive advantages that are promised by smart and connected products/systems.
Jahani, S., Kontar, R., Zhou, S. (2018), “Statistical Monitoring of Multiple Profiles Simultaneously Using Gaussian Processes,” Quality and Reliability Engineering International, accepted.
Kontar,, Zhou, S., Sankavaram, C., Du, X., and Zhang, Y. (2017), “Nonparametric Modeling and Prognosis of Condition Monitoring Signals Using Multivariate Gaussian Convolution Processes,” Technometrics, accepted.
Kontar,, Zhou, S., Sankavaram, C., Du, X., and Zhang, Y. (2017), “Nonparametric-Condition-Based Remaining Useful Life Prediction Incorporating External Factors,” IEEE Transactions on Reliability, 67(1), 41-52.
Kontar, R., Son, J., Zhou, S., Sankavaram, C., Zhang, Y., and Du, X. (2016), “Remaining Useful Life Prediction Based on the Mixed Effects Model with Mixture Prior Distribution,” IISE Transactions, 49(7), 682-697.
Kontar, R., Zhou, S., and Horst, J. (2016), “Estimation and Monitoring of Key Performance Indicators of Manufacturing Systems Using the Multi-Output Gaussian Process,” International Journal of Production Research, 55(8), 2304-2319.