Chengeng Liu

Chengeng Liu

Ph.D. student @ Nanyang Technological University

I am currently pursuing a Ph.D. degree in the School of Computer Science and Engineering at Nanyang Technological University under the supervision of Prof. Qian Kemao. My research focuses on the fields of image processing, deep learning, and their applications in optical metrology. Specifically, I am dedicated to leveraging deep learning techniques to address various metrology challenges, such as phase demodulation, which finds applications in structured light and interferogram analysis. Additionally, I have a keen interest in computational imaging and its integration with deep learning methodologies.

Prior to joining NTU, I earned a Master of Engineering degree from the University of Melbourne, and prior to that, I completed my Bachelor of Science degree, also at the University of Melbourne.

Education

Nanyang Technological University, Singapore, 2022 - present

  • Ph.D. in Computer Science

The University of Melboourne, Australia, 2019 - 2020

  • MEng, Software Engineering

The University of Melbourne, Australia, 2016 - 2018

  • BS, Computing and Software Systems

Publications

  • Liu, C., & Yin, Q. (2021, September). Automatic Diagnosis of COVID-19 Using a tailored Transformer-Like Network. In Journal of Physics: Conference Series (Vol. 2010, No. 1, p. 012175). IOP Publishing.

  • Wei, D. L., Liu, C. G., Liu, Y., Liu, J., Zhu, X. G., & Zeng, X. H. (2022, May). Look, Listen and Pay More Attention: Fusing Multi-Modal Information for Video Violence Detection. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1980-1984). IEEE. (CCF-B conference)

Awards

  • A*STAR-SINGA Scholarship Award

Teaching

  • CE1106 Computer Organisation & Architecture, 2023 Spring
  • CE1103 Introduction to Computational Thinking and Programming, 2023 Fall
  • SC1015 Introduction to Data Science and Artificial Intelligence, 2024 Spring

Skills

  • Programming Language: Python, C, C#, Java, JavaScript, SQL, Haskell, Ada, Shell Script
  • Machine Learning: Pytorch, TensorFlow, Triton, Numpy
  • Technologies: Git, Selenium, Spring Boot, Jenkins, MongoDB, Redis, PostgreSQL, Docker, Burp Suite
  • Language: Chinese(native speaker), English(working proficiency)