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College of Computer Science and Engineering


Systems Engineering Department


"Dynamic Robust Sparse Modelling Of High-Dimensional Data Streams For Online Monitoring"



Date: Wednesday, 13th Nov, 2019

Time:  3:00 pm

Location: Building 22, Room 130



Dr. Mohammad Nabhan

Assistant Professor

Systems Engineering Department

King Fahd University of Petroleum and Minerals



Current manufacturing and service systems are capable of generating an overwhelmingly large amount of data in real time throughout all stages of operation.  This is largely due to the incredible development in sensing technology as well as the ubiquitous and abundance use of sensors.  While the resulting plethora of information likely hold key performance measurements and indicators of process efficiency and capability, identifying and extracting these informative features is extremely challenging at best with current benchmark techniques.  This research focuses on addressing crucial challenges that commonly arise when dealing with manufacturing and service systems that generate data rich environments. stems. We develop a dimension reduction method named “Robust Sparse Principal Component Analysis” (RS-PCA), that is designed to robustly estimate a lower dimensional subspace by exploiting sparse data structures.     


Speaker Bio:

Dr. Mohammad Nabhan is an assistant professor in the systems engineering department at KFUPM. He received his PhD. degree (in 2019) and M.S. degree in Industrial Engineering (in 2013) from Georgia Institute of Technology. Before that, he obtained his B.S. degree in Industrial Engineering (in 2011) from King Fahd University of Petroleum and Minerals. His research interests include machine learning and data analytics for high-dimensional data in different engineer and industrial applications, Image and profile data modeling and monitoring for change detection and localization. 



All faculty, researchers and graduate students are invited to attend.


Systems Engineering Department, College of Computer Sciences and Engineering

Telephone: +966 (13) 860 2988, Email:, Website:


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13 Nov 2019


03:00 PM to 04:00 PM