Eashwar Sathyamurthy

About Me

Hi there! I’m Eashwar Sathyamurthy, a PhD candidate in Mechanical Engineering at the University of Maryland. I design energy‑aware routing algorithms for battery‑operated drone fleets, factoring in limited capacity, recharging stops, and potential vehicle failures, and I integrate GNN‑based weather and road‑condition forecasts to adjust routes in real time, especially for icy roads in winter. This journey began in my MS thesis on failure‑aware, capacity‑constrained routing and has evolved into my current work on embedding live GNN predictions into planners to keep drones safe and efficient under changing weather.

During my master’s, I turned theory into practice through collaborations with the Army Research Laboratory on multi‑agent navigation, with the Maryland Industrial Partnerships program on meta‑reasoning UGV policies, and as part of the Crossfire wildfire inspection team, sharpening my skills at the intersection of optimization, machine learning, and real‑world robotics.

I’m also passionate about swarm intelligence and the study of emergent behavior, exploring how simple local interactions can give rise to robust, scalable coordination across multi‑robot systems.