Publications
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A Deep Reinforcement learning framework for Column Generation
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Quantum computing reduces systemic risk in financial networks
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Recursive Time Series Data Augmentation
Invited Talks
- Research Symposium, Vector institute, Toronto, 2/22/2023
- SIAM Conference on Optimization, Seattle, 05/31/2023
- Poster workshop on Quantum Computing and Operations Research, Fields institute, Toronto, 10/22/2022
On-going projects
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Neural ODE for control
- Collaborators: None
- Contributions: Main idea, all coding, first author
- Detail
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IC-IMPACTS funded research projects
- Collaborators: Professor Chi-Guhn Lee (U of T), Professor Subimal Ghosh (IIT- Bombay)
- Contributions: Main idea, all coding, writing, first author
- To listed projects report page 12: Irrigation Scheduling Using Model-Based Reinforcement Learning for Stochastic Differential Equation Control
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No arbitrage ANN option pricing
- Collaborators: Professor Amine Aboussalah (NYU), Professor David Shimko (NYU)
- Contributions: Idea on no-arbitrage PINN training with high order terms, coding, co-author
- Detail
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Central bank cascade free control
- Collaborators: Professor John Birge (University of Chicago), Professor Amine Aboussalah (NYU)
- Contributions: Main idea on the control problem formulation and low level optimizations, most of the coding, co-author
- Detail