Asha Ramanujam

Asha Ramanujam works on optimization and decision-making methods for engineering and operations research problems, including techniques that combine planning across different time scales (e.g., fast and slow decision cycles) with reinforcement learning (a machine learning approach where an algorithm learns by trial and error to make good decisions). Recent work focuses on developing algorithms and benchmark tools for solving constrained, safety-relevant decision problems, such as those found in energy systems, vehicle routing, and industrial process management.

Publication output was minimal or absent for most of the past decade but has grown noticeably since 2023, with a small but steady stream of papers appearing each year through 2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026