Faculty profile
Chi-Guhn Lee
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Research
Latest papers
Joint optimization of degradation assessment and remaining useful life prediction for bearings with temporal convolutional auto-encoder.
ISA transactions · 2024 · senior author
Quantum computing reduces systemic risk in financial networks.
Scientific reports · 2023 · senior author
A stochastic model for tumor geometry evolution during radiation therapy in cervical cancer.
Medical physics · 2014
Latest funding
- $65,571
Optimizing energy efficiency and plant operations through advanced data analytics
NSERC · 2024 · Principal investigator
- $142,200
Reinforcement learning framework of Sim2Real for Robotic applications
NSERC · 2022 · Principal investigator
- $128,542
Data-Driven Approaches to Promotional Decision Making for Retail Supply Chain
NSERC · 2022 · Principal investigator
3 publications.
Joint optimization of degradation assessment and remaining useful life prediction for bearings with temporal convolutional auto-encoder.
Ding Y, Jia M, Zhao X, Yan X, Lee CG
Quantum computing reduces systemic risk in financial networks.
Aboussalah AM, Chi C, Lee CG
A stochastic model for tumor geometry evolution during radiation therapy in cervical cancer.
Liu Y, Chan TC, Lee CG, Cho YB, Islam MK
Optimizing energy efficiency and plant operations through advanced data analytics
Principal investigators: Lee, Chi-Guhn C-G
Keywords: automotive parts manufacturing; control systems; data analytics; dynamic systems; energy consumption forecast; energy monitoring; machine learning; process optimization; scheduling; sustainability
Reinforcement learning framework of Sim2Real for Robotic applications
Principal investigators: Lee, Chi-Guhn C-G
Keywords: artificial intelligence; control systems; machine learning; non-invasive medical procedures; reinforcement learning; robotics; robotics simulation; sim-to-real transfer; transfer learning
Data-Driven Approaches to Promotional Decision Making for Retail Supply Chain
Principal investigators: Lee, Chi-Guhn C-G
Keywords: anomaly detection; computer vision; inventory management; supply chain
Reinforcement learning approach to the optimal stopping problem
Principal investigators: Lee, Chi-Guhn
Keywords: markov decision processes; optimal stopping problem; reinforcement learning; approximate dynamic programming
Additive Manufacturing of Automotive Tooling Components: Defect Reduction, Process Optimization and Powder Development
Principal investigators: Zou, Yu Y
Transfer learning for continual learning in non-stationary environments
Principal investigators: Lee, Chi-Guhn
Machine Learning-enhanced approaches to optimization of supply chain management at Nestlé Canada
Principal investigators: Lee, Chi-Guhn
Assistive sequential decision making framework
Principal investigators: Lee, ChiGuhn
Dynamic Optimization with Learning Approach to Dynamic Pricing with Financial Milestones
Principal investigators: Lee, ChiGuhn
Data-driven condition-based maintenance models
Principal investigators: Lee, ChiGuhn
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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