Yiting Tsai

Yiting Tsai

Yiting has obtained both his BASc and MASc degrees at CHBE. His current PhD research is focused on feature extraction, the identification of combined raw input variables which contribute to various process outcomes. This is achieved using Machine Learning algorithms such as Deep Learning, Variational Autoencoders, and Generative Adversarial Networks. Yiting is also working as a part-time data analyst in a consulting company, where he uses his fluency in Python to design predictive models to forecast and diagnose anomalies for real-time process data.

📚 Program/Degree
PhD, since 2016
📝 Research
Data-based Deep Optimal Feature Learning
📨 Contact

DAIS Lab Publications

  1. Journal Paper
    A Comparison of Clustering and Prediction Methods for Identifying Key Chemical–Biological Features Affecting Bioreactor Performance
    Yiting Tsai, Susan A. Baldwin, Lim C. Siang, R. Bhushan Gopaluni
    Processes. 2019 [PDF] [Code]
  2. Journal Paper
    State of charge estimation in Li-ion batteries: A particle filter approach
    Aditya Tulsyan, Yiting Tsai, R. Bhushan Gopaluni, Richard D. Braatz
    Journal of Power Sources, 331.
    pp. 208 – 223. 2016
  3. Conference Proceedings Invited Paper
    Pattern and Knowledge Extraction using Process Data Analytics: A Tutorial
    Yiting Tsai, Qiugang Lu, Lee D. Rippon, Siang Lim, Aditya Tulsyan, R. Bhushan Gopaluni
    In Proceedings of ADCHEM Conference, Shengyang, China.
    pp. 13-18. 2018
  4. Conference Proceedings
    A novel algorithm for model-plant mismatch detection for model predictive controllers
    Yiting Tsai, R. Bhushan Gopaluni, D.J. Marshman, T. Chmelyk
    In proceedings of International Symposium on Advanced Control of Chemical Processes (ADCHEM), Whistler, Canada.
    pp. 747 – 753. 2015
  5. Conference Proceedings Keynote Presentation
    An Algorithm for Optimal Charging of Li-ion Batteries Using a Single Particle Model
    Yiting Tsai, R. Bhushan Gopaluni
    In Proceedings of the 5th International Symposium on Advanced Control of Industrial Processes, Hiroshima, Japan. 2014

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Our group is recruiting year-round for postdocs, MASc and PhD students, visiting students and undergraduate students.

All admitted students will receive a stipend.

If you're interested in pursuing research or graduate studies, please email a copy of your

(1) CV, and
(2) Research Statement