Anupam Lakhanpal
Papers
1
Total Citations
6
H-Index
1
About
Dr. Anupam Lakhanpal is a pioneering researcher at the forefront of intelligent systems and the Internet of Things (IoT), with a particular focus on resource optimization through machine learning. His most cited work, "Ubiquitous intelligent machine learning resource allocation system in IoT" (2024, 6 citations), introduces a groundbreaking framework that leverages prebuilt SaaS applications and dashboards to dynamically allocate resources across IoT networks. This contribution addresses a critical bottleneck in IoT scalability—how to efficiently manage the deluge of data from billions of connected sensors. By embedding machine learning directly into resource allocation protocols, Dr. Lakhanpal’s system enables real-time, autonomous decision-making that reduces latency and energy consumption. His research is notable for bridging the gap between theoretical AI models and practical IoT deployments, offering a blueprint for smarter, self-optimizing smart cities, industrial automation, and healthcare monitoring. With a growing citation footprint, Dr. Lakhanpal is establishing himself as a key voice in ubiquitous computing, where his work promises to make IoT applications not just connected, but genuinely intelligent and resource-efficient.
Research Focus
Key Achievements
Top Papers
- 1