Education

Ph.D. in Electrical and Computer Engineering (3.82/4.0)

2020 - 2024
Georgia Institute of Technology

MS in Electrical and Computer Engineering (3.8/4.0)

2018 - 2020
Georgia Institute of Technology

MS in Computer Science (4.0/4.0)

2018 - 2022
Georgia Institute of Technology

BS in Automation (3.75/4.0)

2013 - 2017
Nankai University, China

BS in Mathematics and Applied Mathematics (3.75/4.0)

2013 - 2017
Nankai University, China

Experiences

Intern

2019/05 - 2019/07
Georgia Tech Lorraine

d2-net SLAM

  • Design Jaco Vision System using Solidworks
  • Combine D2-net with SLAM
  • Object detection using Faster RCNN, YOLO

Intern

2016/07-2018/05
Tianjin Key Laboratory of Intelligent Robotics, Nankai University

Design controller and build model for nonlinear systems.

  • Research on two-DOF soft robotic arm with pneumatic artificial muscle: modeling and controller design (2017/09-2018/5)
  • Research on control of overhead cranes with flexible rod (2017/06-2018/5)
  • Precise localization of mobile robots (2015/08-2015/11)

Intern

2016/06-2017/06
School of Mathematical Sciences, Nankai University

The research of probability inference model based on Gaussian belief propagation

  • Analyze the inference problem of gaussian graphic models based on walks in a graph
  • Analyze the relationship with dominant model, attractive model, and non-frustrated model
  • Approximate loopy belief propogation

Volunteer

2020/01-2024/05
  • Reviewer for ACC, CDC, IFAC, IEEE communications Magzine, IEEE Journal on selected areas in communications
  • Organizer of the 2022 Georgia Tech Decision and Control Laboratory (DCL) Student Symposium
  • Committee member of IROS workshop 2022
  • Georgia Tech ORS mentor (2022)
  • Women in ECE Volunteer for K12 education
  • Attendee of WE22 conference for women in engineering and technology
  • Volunteer of service for disabilities in Tianjin
  • Running a wechat official account that publish articles to help mathematics learning for high school and junior high school students (2017-Present)

Reward

  • Schlumberger GTL Fellowship (2019 fall)
  • National Encouragement Scholarship (2015-2016)

Projects

Using Machine Learning Method to Predict Chaotic Behavior of Lorenz System - Echo State Network, LSTM (keras), Multi-step Prediction
Anti-swing and Positioning Control for Overhead Cranes - Designed an efficient sliding mode controller to control an underactuated crane system
Online commodity sales forecasting based on the analysis of the picture emotions - Predicted sales of a given commodity based on the emotions of this picture gives for buyer on Taobao

Publications

A novel sliding mode control method for underactuated overhead cranes
Mi Zhou, Ning Sun, Yongchun Fang
Chinese Congress of Automation (CAC), 2017
A flexible rope crane control method
Ning Sun, Jianyi Zhang, Tong Yang, Yu Fu, Mi Zhou
IEEE International Conference on Real-time Computing and Robotics, 2018
A Performance Comparison of LSTM and Recursive SID Methods in Thermal Modeling of Implantable Medical Devices
A. Ermis, M. Zhou, Y.-P. Lai, and Y. Zhang
2020 IEEE Conference on Control Technology and Applications (CCTA)

Skills & Proficiency

Python & Tensorflow & Pytorch

Matlab

C++ & ROS

HTML5 & CSS

Java

Latex