Develop machine learninng models and efficient real-time large-scale optimization algorithms for high-dimensional data (i.e., Images, profiles, signals) in different industrial systems and spatio-temporal systems for anomaly detection and system modeling
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Ph.D. in Industrial Engineering, 2017
Georgia Institution of Technology
M.S. in Statistics, 2016
Georgia Institution of Technology
M.S. in Computational Science and Engineering, 2016
Georgia Institution of Technology
B.S. in Physics, 2011
Beijing University
Sep 2021, our paper “Low-rank and Sparse Tensor Decomposition with RidgeRegularized Subspace Clustering for Metro Passenger Flow Modeling” has been selected as the best paper finalist in the theoretical track for the 16th INFORMS Hybrid Workshop on Data Mining and Decision Analytics on Saturday, October 23, 2021.
Sep 2021, our paper “Tensor Topic Models with Graphs and Their Applications on Individualized Travel Patterns” has been selected as the best paper finalist in the applied track for the 16th INFORMS Hybrid Workshop on Data Mining and Decision Analytics on Saturday, October 23, 2021.
Aug 2021, my Ph.D. student Nurretin Dorukhan Sergin has successfully defend his dissertation and congratulation to Dorukhan.
July 2021, our project “Photovoltaic Plant Predictive Maintenance Optimization under Uncertainties Using Probabilistic Information Fusion” is funded by Solar Energy Technologies Office | Department of Energy to artificial intelligence techniques in solar industries, Amount: 750K + 380K Cost share. Role: PI, See Award Annoucement and News.
Nov 2020, INFORMS QSR Best Paper Competition, 2020 for our paper “Adaptive Partially-Observed Sequential Change Point Detection with Multiple Failure Modes”. See the Awards - Quality, Statistics & Reliability.