CV

You can find my Curriculum Vitae here.

Education

• Ph.D. in Industrial Systems & Engineering, University of Southern California (USC), 2018-2023
• Master of Science in Computer Science, University of Southern California (USC), 2020-2022
• Master of Science in Electrical Engineering, Harbin Institute of Technology (HIT), 2016-2018
• Bachelor of Science in Electrical Engineering, Harbin Institute of Technology (HIT), 2012-2016

Work experience

• 2023.6 ~ present, Postdoctoral Researcher, National Renewable Energy Laboratory (NREL)
• 2022.10 ~ 2023.6, Research Intern, National Renewable Energy Laboratory (NREL)
• 2018.8 ~ 2020.6, Research Assistant, University of Southern California (USC)

Skills

• Computer Science: Analysis of Algorithms; Machine Learning; Deep Learning and Its Applications; Foundations of Artificial Intelligence; Database Structure
• Operation Research: Foundations of Optimization; Foundations of Stochastic Process; Large Scale Optimization for Machine Learning; Advance Design of Experiments; Linear Programming; Mixed-Integer Programming
• Statistics: Mathematical Statistics; Numerical Analysis and Computation; Theory of Probability; Real Analysis
• Software/Tools: Pytorch; TensorFlow; AWS; Keras; Tableau; GitHub; Google Colab; Latex; Simulink Programming Language: Python (pandas, numpy, scikit-learn, etc); R (dplyr, ggplot2, Shiny); SQL; MATLAB

Publications

• Mingyi He, Mingdong Lyu et al., “A Hierarchical Optimization MEthod (HOME) for eVTOL Network Design”, Computer-Aided Civil and Infrastructure Engineering, 2023 (Under review)
• Mingyi He, Mingdong Lyu et al., “GravAttn: A spatially-transferable gravity model for trip distribution based on Graph Attention Network and self-attention”, Transportation Research Board, 2023
• Mingdong Lyu, R. Hall et al., Dynamic Vaccine Allocation for Control of Human Transmissible Disease, Health Care Management Science, 2023 (Under review)
• Mingdong Lyu, R.Hall, A.Moore, “Modeling Reported Covid19 with Time Varying Case Fatality and Transmission Rates”, Computational and Mathematical Methods in Medicine, 2023 (Under review)
• A. Moore, Mingdong Lyu, R. Hall, “Tracking Covid-19 Cases and Deaths in the United States Distribution of Events by Day of Pandemic”, Statistical Methods in Medical Research, 2021
• Decker Nathan, Mingdong Lyu, Yuanxiang Wang, Qiang Huang. “Geometric Accuracy Prediction and Improvement for Additive Manufacturing Using Triangular Mesh Shape Data.” Journal of Manufacturing Sci. and Eng., June 2021
• Q. Huang, Y. Wang, Mingdong Lyu, and W. Lin, “Shape Deviation Generator—A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy”, IEEE Trans. Autom. Sci. Eng., January 2020

Awards

• Health Systems Science and Innovation Student Innovators Fellowship 2022
• USC Viterbi Ph.D. Fellowship in Industrial & Systems Engineering 2018~2019
• Outstanding Graduate of Harbin Institute of Technology 2018
• First Prize Academic Scholarship of Harbin Institute of Technology 2016~2017
• First Prize Scholarship Sponsored by Infineon Technology 2016~2017
• First Prize Scholarship for Graduate Student of Harbin Institute of Technology 2015~2016
• Outstanding Graduate Thesis of Harbin Institute of Technology 2016
• Meritorious Winner of Mathematical Contest in Modeling 2015