Recruitment
We recruit year-round for postdocs, MASc and PhD students, visiting students and undergraduate students. Please see our Opportunities page for more information.
Siang Lim
Siang graduated from UBC with distinction in chemical engineering and was selected as a 2017 Faculty of Applied Science Rising Star. He completed an NSERC USRA term with the DAIS Lab and is currently pursuing a MSc in Computer Science (OMSCS) at Georgia Tech while working on process control and data science at the Burnaby Refinery.
đź“š Program/Degree
GROUP ALUMNI (2017) |
Undergraduate
| Started 2017
đź“ť Research
Machine Learning and Process Control
DAIS Lab Publications
-
Conference Proceedings
Invited Paper
Pattern and Knowledge Extraction using Process Data Analytics: A Tutorial
In Proceedings of the 10th ADCHEM Conference, Shengyang, China.
pp. 13-18. 2018 [Code] -
Journal Paper
A Comparison of Clustering and Prediction Methods for Identifying Key Chemical–Biological Features Affecting Bioreactor Performance
Processes. 2019 [PDF] [Code] -
Journal Paper
Interactive Visualization for Diagnosis of Industrial Model Predictive Controllers with Steady-State Optimizers
Control Engineering Practice. 2021 [PDF] [Thesis] [Video] -
Conference Proceedings
Soft Sensor Change Point Detection and Root Cause Analysis
Society of Instrument and Control Engineers (SICE) Annual Conference, Kumamoto, Japan (To Appear). 2022 [PDF] [Slides] -
Journal Paper
Causal Discovery based on Observational Data and Process Knowledge in Industrial Processes
Industrial & Engineering Chemistry Research. 2022 [PDF] -
Journal Paper
Tracking the green coke production when co-processing lipids at a commercial fluid catalytic cracker (FCC): combining isotope 14C and causal discovery analysis
Sustainable Energy & Fuels. 2022 [PDF] -
Conference Proceedings
Interpretable Soft Sensors using Extremely Randomized Trees and SHAP
In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Slides] [Video] -
Conference Proceedings
Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics
In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Slides] [Video] [arXiv] -
Conference Proceedings
Interpretable Industrial Soft Sensor Design Based on Informer and SHAP
In Proceedings of the 12th IFAC International Symposium on Advanced Control of Chemical Processes (ADCHEM). 2024 [PDF] -
Journal Paper
Real-Time Tracking of Renewable Carbon Content with AI-aided Approaches During Co-Processing of Biofeedstocks
Applied Energy. 2024 [PDF]
DAIS Lab Member? Submit a pull request or join the @daisubc organization on GitHub to update your profile - Siang Lim.md.