Eashwar Sathyamurthy
Papers
1
Total Citations
4
H-Index
1
About
Eashwar Sathyamurthy is a rising researcher in combinatorial optimization and logistics, with a focus on sustainable and autonomous systems. His work centers on developing hybrid metaheuristic approaches for complex routing problems, particularly those involving unmanned aerial vehicles and ground robots. His most-cited paper, "Hybrid Metaheuristic Approaches for the Multi-Depot Rural Postman Problem With Rechargeable and Reusable Vehicles" (2024, 4 citations), addresses a critical challenge in autonomous fleet management: extending operational range through efficient recharging strategies. By modeling the limited battery life of drones and robots, Sathyamurthy integrates classical rural postman problem formulations with modern constraints, proposing novel hybrid algorithms that optimize routes while accounting for periodic recharging. This work has immediate implications for last-mile delivery, disaster response, and environmental monitoring, where autonomous systems must operate continuously. Though early in his career, his contributions are already gaining traction, bridging theoretical optimization with real-world logistics. Sathyamurthy’s research promises to shape the future of sustainable, autonomous transportation systems.
Research Focus
Key Achievements
Top Papers
- 1