Sanjay Chaudhary
Papers
2
Total Citations
41
H-Index
2
About
Sanjay Chaudhary is a researcher at the intersection of software engineering and intelligent systems, with key contributions in model-driven development and applied machine learning. His work on the Sense-Compute-Control (SCC) paradigm, notably through a 2014 paper with 23 citations, established a model-driven framework for orchestrating heterogeneous sensor-actuator networks—enabling seamless interactions between physical-world sensing, computation, and actuation. This foundational contribution has influenced the design of cyber-physical systems and IoT applications. More recently, Chaudhary has advanced agricultural technology, as evidenced by his 2021 paper (18 citations) on computer vision and machine learning in agriculture, where he applies deep learning and image analysis to crop monitoring, disease detection, and yield optimization. His research bridges theoretical frameworks with practical, high-impact solutions, demonstrating versatility across domains. With a growing citation footprint, Chaudhary’s work continues to shape how developers build responsive, intelligent systems—from smart environments to precision agriculture—making him a notable figure for students and researchers exploring model-driven engineering and AI-driven automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Computer Vision and Machine Learning in Agriculture18 citations · 2021