Susheel Badha
Papers
1
Total Citations
3
H-Index
1
About
Dr. Susheel Badha is a leading researcher in battery management systems (BMS) and embedded machine learning, with a focus on making energy storage safer, smarter, and more efficient. His work centers on developing practical, scalable algorithms for real-time state estimation—particularly State of Charge (SoC) and State of Health (SoH)—using tiny machine learning models that can run directly on low-power microcontrollers. His most cited paper, “Embedded strategy for battery module states estimation using tiny machine learning models” (2026), has already garnered 3 citations, reflecting growing interest in his approach to bridging advanced AI with resource-constrained hardware. Dr. Badha’s contributions are notable for their emphasis on deployability and real-world impact, offering a path toward more intelligent battery systems for electric vehicles, portable electronics, and grid storage. His work is especially relevant as the demand for battery-powered systems accelerates, and his embedded ML strategy promises to reduce computational overhead while maintaining high accuracy. For students and researchers, Dr. Badha’s research represents a compelling intersection of energy systems and edge AI, with clear applications in sustainable technology and the Internet of Things.
Research Focus
Key Achievements
Top Papers
- 1