Scholar
Juan Sebastian Rojas
Google Scholar ID: jrWXzhMAAAAJ
PhD Student, University of Toronto
Citations & Impact
Citations
5
H-index
2
i10-index
0
Publications
7
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- October 2025 - Paper: Ergodic Risk Measures: Towards a Risk-Aware Foundation for Continual Reinforcement Learning
- January 2026 - Paper: A Differential Perspective on Distributional Reinforcement Learning, published at AAAI-26 Conference
- August 2025 - Paper: Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes, published in Reinforcement Learning Journal
- September 2022 - Paper: Comparison of Machine Learning Models for Quantitative Risk Modelling of Pipeline Systems, presented at ASME International Pipeline Conference
- September 2022 - Paper: Subset Simulation of Pipeline Corrosion, Crack, and Dent Defects Considering Multiple Limit States With Large-Scale Validation, presented at ASME International Pipeline Conference
Research Experience
- PhD student at the University of Toronto, conducting research as part of the Dynamic Optimization & Reinforcement Learning Lab. Over five years of industry experience spanning machine learning, robotics, software engineering, and data science.
Education
- Bachelor's degree in engineering with a minor in mathematics from the University of Alberta.
Background
- Research interests lie in the theory and application of artificial intelligence (AI) in real-world, safety-critical settings. Current research focuses on developing machine learning frameworks and algorithms that incorporate the notions of risk and safety into the learning, planning, and decision-making processes of autonomous agents operating in dynamic, uncertain, and safety-critical environments.
Miscellany
- In his spare time, he enjoys swimming, watching movies, and learning new things.
