Yousef Oleyaeimotlagh

Yousef Oleyaeimotlagh is a Ph.D candidate in the Department of Industrial Engineering (IE) at the University of Pittsburgh (PITT). He is working on his Ph.D. dissertation under the supervision of Dr. Taposh Banerjee. He uses techniques such as optimization, modeling, simulation, machine learning, big data, and stochastics in his research. His current Ph.D. advisor sparked his interest in the quickest anomaly detection in social, physical, and biological systems before joining PITT, as a GRA and student at the ECE department at the University of Texas, San Antonio, from January 2021 to August 2022. He was a GRA and student at UCF's IEMS department, where his main task was to develop ubiquitous computing and machine-learning applications for transportation data from 2016 to 2021.

  • PhD Student in Industrial Engineering, University of Pittsburgh, 2022 - 2026
  • MS in Industrial-Engineering - Management Systems and Productivity, Iran University of Science and Technology, 2011 - 2013
  • BS in Applied Mathematics, Urmia University, 2007 - 2010

  • Hou, Y., Oleyaeimotlagh, Y., Mishra, R., Bidkhori, H., & Banerjee, T. (2024). Robust quickest change detection in nonstationary processes. SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, 43(3), 275-300.Taylor & Francis. doi: 10.1080/07474946.2024.2356555.
  • Oleyaeimotlagh, Y., Banerjee, T., Taha, A., & John, E. (2023). Quickest change detection in statistically periodic processes with unknown post-change distribution. SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, 42(4).Taylor & Francis. doi: 10.1080/07474946.2023.2247035.
Research Interests