Fouts Family Early Career Professor and Associate Professor
H. Milton Stewart School of Industrial & Systems Engineering
Bio: Kamran Paynabar is the Fouts Family Early Career Professor and Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He received his B.Sc. and M.Sc. in Industrial Engineering from Iran in 2002 and 2004, respectively, and his Ph.D. in Industrial and Operations Engineering from The University of Michigan in 2012. He also holds an M.A. in Statistics from The University of Michigan. His research interests comprise both applied and methodological aspects of machine-learning and statistical modeling integrated with engineering principles. He is a recipient of the INFORMS Data Mining Best Student Paper Award, the Best Application Paper Award from IIE Transactions, the Best QSR refereed paper from INFORMS, and the Best Paper Award from POMS. He has been recognized with the Georgia Tech campus level 2014 CETL/BP Junior Faculty Teaching Excellence Award and the Provost Teaching and Learning Fellowship. He served as the chair of QSR of INFORMS, and the president of QCRE of IISE.
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
- October 2019: Zhen Zhong won the QSR Best Student Paper Award at INFORMS..
- August 2019: Dr. Mostafa Reisi joined the Department of Industrial & Systems Engineering at University of Florida as an Assistant Professor.
- November 2018: Mostafa Reisi won the SAS Data Mining Best Student Paper Award at INFORMS.
- August 2018: Dr. Xiaolei Fang joined the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University as an Assistant Professor.
- May 2018: Dr. Samaneh Ebrahimi joined Pandora, Internet Radio as a Senior Data Scientists.
- August 2017: Dr. Hao Yan joined the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University as an Assistant Professor.
- October 2016: Xiaolei Fang won the SAS Data Mining Best Paper Award at INFORMS.
- 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.”