School of Industrial & Systems Engineering
Bio: Kamran Paynabar is an Assistant Professor in the H. Milton Stewart School of Industrial & Systems Eng. at the Georgia Institute of Technology. He received B.Sc. and M.Sc. in Industrial Eng. from Iran University of Science and Technology and Azad University in 2002 and 2004, respectively, and Ph.D. in Industrial and Operations Eng. from The University of Michigan in 2012. He holds an M.A. in Statistics from The University of Michigan.
Research Interests: High-dimensional data analysis for systems monitoring, diagnostics and prognostics, and statistical and machine learning for complex-structured streaming data including multi-stream signals, images, videos, point clouds and network data with applications ranging from manufacturing including automotive and aerospace to healthcare.
News and Updates
- September 2016: Our paper “Residual Useful Lifetime Prediction Using a Degradation Image Stream” with my Ph.D. student, Xiaolei Fang, and Professor Nagi Gebraeel, was selected as one of the four finalists for 2016 QSR Best Paper Competition at INFORMS.
- September 2016: My Ph.D. student, Hao Yan, is one of the four finalists of the QSR Best Student Paper Award at INFORMS 2016 for his paper “AKMM: Adaptive Sensing for Online Anomaly Detection” with K. Paynabar, J. Shi.
- April 2016: I was elected as the 2016 President-Elect of the QCRE Division of Institute of Industrial & Systems Eng. (IISE).
- April 2016: My Ph.D. student, Chitta Ranjan, is one of the four finalists in the QCRE Best Student Paper Award at ISERC 2016 for his paper “Repeatability Analysis for Longitudinal Data Under the Absence of Repetition” with K. Paynabar, M. Reuter, and K. Jafari.
- Our paper “Real-time Monitoring and Diagnosis of High-Dimensional Data Streams via Spatio-Temporal Smooth Sparse Decomposition” with my Ph.D. student, Hao Yan, and Professor Jan Shi, was selected as the Best QSR Paper at INFORMS 2015.
- Professor Nagi Gebraeel and I were awarded a research grant by National Science Foundation: “A Prognostic Modeling Methodology for Multi-Stream Degradation-based Signal.”
- My Ph.D. student, Hao Yan, received the QCRE Best Student Paper Award in ISERC 2015 for his paper “Monitoring and Diagnostics of Streaming Videos Via Spatio-Temporal Smooth-Sparse Decomposition.”
- Our paper “An Integrated System for Hospital Census Modeling and Resource Optimization” with my Ph.D. student, Chitta Ranjan, and Professor Jonathan Helm, was selected as the Best Paper in POMS College of Healthcare Operations Management Best Paper Competition.
- My Ph.D. student, Hao Yan, received the Data Mining Best Student Paper Award in INFORMS 2014 for his paper “Image Denoising and Defect Detection Via Smooth-Sparse Decomposition.”