H Lekha
Papers
1
Total Citations
3
H-Index
1
About
H Lekha is a researcher at the forefront of lightweight artificial intelligence for e-health and human-assistive systems. Her work centers on developing trustworthy, real-time mechanisms for human activity recognition and anomaly prediction, with a focus on enabling uninterrupted, reliable operation in medical services and human-robot collaboration. Her most-cited paper, "Human Activity Recognition with Anomaly Prediction for E-Health Systems using Lightweight AI" (2022), has garnered 3 citations and addresses the critical need for computing devices to be mindful of human actions to create flourishing assistive environments. By prioritizing efficiency and accuracy, Lekha’s contributions pave the way for more responsive and safer e-health systems, where real-time anomaly detection can preemptively flag risks. Her research is particularly impactful for students and engineers working on embedded AI, wearable health monitors, and autonomous robotic caregivers, offering a scalable approach to making AI both intelligent and resource-conscious.
Research Focus
Key Achievements
Top Papers
- 1