Akanksha Singh
Papers
1
Total Citations
6
H-Index
1
About
Dr. Akanksha Singh is a rising scholar at the intersection of the Internet of Things (IoT) and intelligent machine learning, whose work focuses on optimizing resource allocation in connected systems. Her most-cited paper, “Intelligent Machine Learning Based Internet of Things (IoT) Resource Allocation” (2023, 6 citations), demonstrates how ML algorithms can ingest diverse data streams—including images, video, and audio—to enable automated decision-making and predict future trends. This research addresses critical challenges in IoT efficiency, offering faster, data-driven responses that improve system performance. While her citation count is still growing, Singh’s contributions are notable for bridging theoretical ML models with practical IoT applications, a field with immense potential for smart cities, healthcare, and industrial automation. Her work underscores the transformative power of combining machine learning with pervasive sensing, positioning her as an emerging voice in next-generation network optimization. As IoT ecosystems expand, Singh’s insights into resource allocation will likely become increasingly influential, making her a researcher to watch in this dynamic domain.
Research Focus
Key Achievements
Top Papers
- 1