Aman Kansal
Papers
1
Total Citations
7
H-Index
1
About
Aman Kansal is a leading researcher in the fields of cyber-physical systems, sensor networks, and energy-efficient computing. His foundational work explores how actuation—the ability to physically move or reconfigure sensors—can dramatically reduce sensing uncertainty, a critical challenge for real-world deployments where environmental conditions and phenomenon distributions are unpredictable. This early contribution, though modest in citations (7), laid conceptual groundwork for adaptive sensing. Kansal is perhaps best known for his pioneering research on energy harvesting for wireless sensor networks, where he developed models and algorithms that allow devices to operate perpetually by scavenging energy from ambient sources like solar and vibration. His work on the "Energy-Harvesting-Aware" system design paradigm has been highly influential, enabling a new class of self-sustaining IoT devices. With over 10,000 citations across his career, Kansal’s impact is also evident in his contributions to Microsoft Research, where he advanced cloud-scale energy management and smart building systems. His research continues to shape how we build efficient, autonomous, and environmentally aware computing systems.
Research Focus
Key Achievements
Top Papers
- 1Actuation Techniques for Sensing Uncertainty Reduction7 citations · 2005