Prashant Vats
Papers
2
Total Citations
26
H-Index
2
About
Prashant Vats is a forward-looking researcher working at the intersection of artificial intelligence, cloud computing, and smart systems. His primary research areas include deep learning for operational management, the Internet of Things (IoT), and wearable robotics, with a strong emphasis on real-world applications in healthcare and precision agriculture. In his highly cited 2022 paper, “Deep Learning and Machine Intelligence for Operational Management of Strategic Planning” (23 citations), Vats explores how AI can optimize complex decision-making processes, offering a framework for more efficient strategic planning in organizations. His 2023 work, “The Implications of Cloud Computing, IoT, and Wearable Robotics for Smart Healthcare and Agriculture Solutions,” demonstrates a practical edge: he shows how sensor data—categorized by factors like soil nutrition, moisture, and animal presence—can trigger automatic alerts when conditions become unfavorable. This integration of cloud-based analytics with wearable robotics points toward a future where farms and healthcare systems are not only automated but also responsive and resilient. Vats’s research is notable for bridging theoretical AI models with tangible, sensor-driven solutions, making his work valuable for students and practitioners aiming to build smarter, more adaptive environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2