Harsh Mittal
Papers
2
Total Citations
7
H-Index
2
About
Harsh Mittal is a researcher at the intersection of artificial intelligence, robotics, and wireless communication networks. His work primarily focuses on enabling real-time, intelligent systems through deep learning and edge computing. In his highly cited 2023 paper, "Identifying the maturity level of coconuts using deep learning algorithms," Mittal demonstrates the practical application of AI in agriculture, achieving 5 citations for this innovative approach to automated quality assessment. His 2022 work, "Enabling edge intelligence in remote robot control," addresses the critical challenge of integrating robotics with 5G networks for Tactile Internet applications. This paper explores architecture, prediction mechanisms, and offloading strategies to ensure optimal Quality of Service and Quality of Experience in real-time remote control systems. Mittal's research is particularly notable for bridging the gap between theoretical edge intelligence and practical robotic applications, contributing to the growing field of latency-sensitive automation. His work has implications for industries ranging from agriculture to manufacturing, showcasing how deep learning and edge computing can transform traditional processes into smart, responsive systems. With a focus on real-world impact, Mittal continues to advance the capabilities of intelligent, networked robotics.
Research Focus
Key Achievements
Top Papers
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- 2