Research Roadmap

Stream 1: Sustainable Operations
- Cycling Infrastructure Planning [1][2][5][8]
- Electric Vehicle Fleet Operations [6][7]
- Gender Disparity in STEM Education [9]
Stream 2: Cross-fertilization between Predictive and Prescriptive Analytics
- ML for optimization [1][6]
- Optimization for ML [3][4]

Selected Working Papers (comments welcome)

Machine Learning-Augmented Optimization of Large Bilevel and Two-stage Stochastic Programs: Application to Cycling Network Design
with Timothy Chan and Shoshanna Saxe
Under review, 2024
[arXiv], [PDF], [Code]
- Runner Up, CORS 2023 Best Student Paper Competition
- UofT Data Science Institute Research Software Development Support Award, 2024
- Finalist, 2024 Gilbert Laporte Student Paper Award (winner TBD)
- Accepted to 2024 Princetop Workshop on Optimization, Learning, and Control
Exploring the Geographical Equity-Efficiency Trade-off in Cycling Infrastructure Planning
with Madeleine Bonsma-Fisher, Timothy Chan and Shoshanna Saxe
Major revision, Journal of Transport Geography, 2024
[SSRN], [PDF]
- Preliminary version accepted to TRB 2024
Contextual Risk Measures
with Timothy Chan and Erick Delage
Work in progress, 2024
Conformal Inverse Optimization
with Timothy Chan and Erick Delage
Work in progress, 2024
[arXiv], [PDF] (Preliminary)

AutoLTS: Assessing Cycling Stress via Contrastive Learning and Spatial Post-processing
with Timothy Chan and Shoshanna Saxe
Proceedings of the AAAI Conference on Artificial Intelligence, 2024
[DOI], [arXiv], [PDF], [Code & Data]
- Preliminary version accepted to AAAI 23 Workshop on AI for Social Good
- Accepted to INFORMS 2023 Data Mining and Decision Analytics Workshop
Deep Reinforcement Learning for Electric Vehicle Routing with Time Windows
with Bissan Ghaddar and Jatin Nathwani
IEEE Transactions on Intelligent Transportation Systems, 2022
[DOI], [arXiv], [PDF]
Optimizing Electric Vehicle Routing and Charging/Discharging Under Time-Variant Electricity Prices
with Bissan Ghaddar and Jatin Nathwani
Transportation Research Part C: Emerging Technologies, 2021
[DOI], [arXiv], [PDF]
The Impact of COVID-19 Cycling Infrastructure on Low-Stress Cycling Accessibility: A Case Study in the City of Toronto
with Timothy Chan and Shoshanna Saxe
Findings, 2021
[DOI], [PDF], [Data]
- Media Coverage: University of Toronto News, CBC News, Toronto Star

Text Mining Applications to Undergraduate Engineering Programs: Analyzing Differences in Gender, Nationality and Socio-economic Status
with Bissan Ghaddar and Ada Hurst
The method is not relevant anymore after LLMs came out, 2022
[arXiv], [PDF]

AutoLTS: Computer vision models to assess cycling stress of road networks:
LTS-TRT: The level of traffic stress network in the City of Toronto (July 2021):
R2D-VRP: A hierarchical reinforcement learning framework for solving the vehicle routing problem :
OCT: Python implementations of optimal classification tree formulations and their computational performance:

Ad-hoc Journal Referee:
- IEEE Transactions on Intelligent Transportation Systems
- IEEE Transactions on Transportation Electrification
- IEEE Transactions on Vehicular Technology
- IEEE Transactions on Smart Grid
- INFORMS Journal on Computing
- INFOR: Information Systems and Operational Research
- npj Sustainable Mobility and Transport
Ad-hoc Conference/Workshop Referee:
- AAAI 2023, 2024
- NeurIPS 2023
Conference Session Chair
- INFORMS 2023