Amita Mahor
Papers
1
Total Citations
16
H-Index
1
About
Amita Mahor is a prominent researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and smart city infrastructure. Her work is best known for pioneering the integration of reinforcement learning into IoT-driven urban systems, a contribution that has garnered significant attention in the field. Her most-cited paper, "Reinforcement Learning Concepts Ministering Smart City Applications Using IoT" (2020, 16 citations), lays a foundational framework for how autonomous agents can optimize resource allocation, traffic management, and energy efficiency in real-time urban environments. This work not only demonstrates a novel algorithmic approach but also provides a practical blueprint for deploying self-learning systems in complex, data-rich city networks. Mahor’s research is distinguished by its focus on bridging theoretical machine learning models with tangible, scalable solutions for modern urban challenges. Her ability to translate complex reinforcement learning concepts into actionable IoT applications marks her as a key contributor to the next generation of intelligent, adaptive cities. For students and researchers, her work offers a compelling case study in applying advanced AI to real-world infrastructure problems.
Research Focus
Key Achievements
Top Papers
- 1