Ajay Malepati

National Institute of Technology Rourkela

Papers

Total Citations

H-Index

About

Ajay Malepati is a researcher focused on embedded systems and intelligent sensing technologies for safety-critical applications. His most cited work, "IMU based Accident Detection and Intimation System" (2018), addresses a pressing global issue: reducing fatalities from road traffic accidents by minimizing delays in emergency medical services. Malepati’s key contribution lies in developing an automated accident detection framework using inertial measurement units (IMUs), which can instantly alert emergency responders without human intervention. This system targets the critical first step in saving lives—rapid, reliable detection and notification. With 13 citations, this paper has influenced subsequent research in vehicular safety and IoT-based emergency response systems. Malepati’s work exemplifies how low-cost sensor integration can bridge the gap between real-world hazards and timely intervention, making him a notable contributor to the field of intelligent transportation and assistive technology. His research continues to inspire innovations in automated safety systems, particularly for developing regions where emergency response delays are most acute.