Tian-hao Li | 李添豪

Master of Computer Science
Supervisor: Bao-Liang Lu

Research Interest

Machine Learning Deep Learning Emotion Recognition

Education

2018.09 - Now
Master of Computer Science
Shanghai Jiao Tong University
2014.09 - 2018.06
Bachelor of Computer Science
Shanghai Jiao Tong University

PROFESSIONAL EXPERIENCE

2020.6 - now
Microsoft
  • Service engineer intern (Azure Media Services)
  • CIS based automation of the Kusto cluster creation and configuration

Projects

2018.9 - now
Emotion recognition based on multi-modal signals
  • Project investigates multimodal emotion recognition based on EEG signals and eye movement signals
  • Responsible for data collection, data cleaning, feature extraction and model selection
  • Paper: Classification of Five Emotions from EEG and Eye Movement Signals: Discrimination Ability and Stability over Time
2016.10 - 2018.2
Development of Table Tennis Robot Vision System
  • The project realizes the speed detection and trajectory prediction of high-speed table tennis
  • Responsible for the implement of the real-time detection system using on MATLAB, OpenCV and CUDA, and developed a trademark-based feature matching algorithm to solve the dependency of Artificial mark
  • Link: https://github.com/EmileTomas/BallTracker
2016.7 - 2016.9
The 9th Intel Cup National University Student Software Innovation Competition
  • The project aims to develop an application that helps users record and share the memories of life, including text, images, music and books.
  • Responsible for the design and development of the android application, including multi-threaded data download, UI update, and local persistence of user data
  • Link: https://github.com/EmileTomas/APP_Memory

Publication

  • Tian-Hao Li, Wei Liu, Wei-Long Zheng and Bao-Liang Lu: Classification of Five Emotions from EEG and Eye Movement Signals: Discrimination Ability and Stability over Time, in Proc. of the 9th International IEEE EMBS Conference on Neural Engineering (NER2019), 2019.

Coding

  • Experiences with with Python
  • Experiences with common neural network models and machine learning algorithms
  • Familiar with common data structures and algorithms
  • Familiar with common application architecture design, such as load balancing

Scholarship

  • 2014 Wu Weiquan Award Scholarship
  • 2015 National Inspirational Scholarship
  • 2015 School Scholarship: C category
  • 2017 National Inspirational Scholarship

Language

CET-6