Recent research:
This body of work advances smart sensing, IoT-enabled monitoring, and sustainable mobility through integrated hardware-software solutions and data-driven analysis. Across projects, the author designs practical intercom and health-monitoring devices for safety and community health, leveraging microcontrollers (Arduino), wireless communication (GSM, IoT), and sensor arrays (ultrasonic, environmental, biomedical). Methodologies include hardware prototyping, C++ programming, data visualization on Raspberry Pi and cloud platforms, and statistical processing (ANOVA, RMSE, accuracy measures) to evaluate performance. The research also explores energy-aware transportation systems, vibration and power-train analysis in hybrid vehicles, and the deployment of laboratory practices for electronics education. A recurring impact theme is improving real-time situational awareness and decision support for safety, environmental monitoring, and sustainable mobility, while identifying range limitations and infrastructure needs to guide future enhancements and policy considerations.