Arnav Vaibhav Malawade
Papers
1
Total Citations
5
H-Index
1
About
Arnav Vaibhav Malawade is an emerging researcher specializing in autonomous systems, energy-efficient computing, and sensor fusion. His work sits at the intersection of embedded systems design and deep learning, with a particular focus on making autonomous platforms—such as self-driving vehicles, aerial drones, and ground robots—more intelligent, adaptive, and resource-conscious. His most notable contribution, *CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion* (2023), addresses a critical challenge in autonomous systems: how to intelligently manage the substantial computational and energy demands imposed by multi-sensor perception pipelines and deep learning models operating on constrained hardware. By enabling runtime reconfiguration based on contextual awareness, CARMA represents a meaningful step toward deployable, real-world autonomous systems that can adapt dynamically to unpredictable environments without sacrificing efficiency. With 5 citations since publication, the work is gaining early traction within the autonomous systems and hardware-software co-design communities. Malawade's research holds strong relevance for students and engineers working on next-generation robotics, edge AI, and smart transportation systems, positioning him as a promising voice in the field of intelligent autonomous computing.
Research Focus
Key Achievements
Top Papers
- 1