Adarsh Dubey

Papers

Total Citations

H-Index

About

Adarsh Dubey is a rising researcher at the intersection of artificial intelligence and real-world sensing, making early-career strides in human activity recognition (HAR) and AI-driven pharmaceutical innovation. His most cited work, "IMU Data Based HAR Using Hybrid Model of CNN & Stacked LSTM" (2024, 7 citations), pioneers a novel deep learning architecture that fuses convolutional neural networks with stacked long short-term memory networks to interpret inertial measurement unit data from gyroscopes and accelerometers. This hybrid model enables precise tracking of human activities—from health monitoring to robotics and security—demonstrating how wearable sensors can be transformed into intelligent behavioral observers. In parallel, Dubey’s "New Era’s of Artificial Intelligence in Pharmaceutical Industries" (2024, 2 citations) explores AI’s transformative potential to automate dangerous production tasks, boost manufacturing efficiency, and streamline drug development pipelines. Though early in his career, Dubey’s work signals a dual commitment to advancing both personal health technologies and industrial AI applications. His contributions are particularly notable for bridging low-cost sensor data with sophisticated neural architectures, offering scalable solutions for smart healthcare and automated manufacturing. As his citation footprint grows, Dubey stands as an emerging voice in applied AI, poised to shape how machines perceive human motion and revolutionize pharmaceutical workflows.