Papers
2
Total Citations
119
H-Index
2
About
Poonam Chahal is a researcher whose work sits at the dynamic intersection of Artificial Intelligence, Machine Learning, and emerging technologies. Her scholarship focuses on the critical challenges and opportunities presented by the explosive growth of Big Data, driven largely by the proliferation of Internet of Things devices and their integration into modern digital ecosystems. Chahal's research examines how AI and machine learning algorithms can be harnessed to extract meaningful insights from massive datasets, with particular attention to real-world applications such as e-healthcare and organizational decision-making. Her most influential contribution, "Artificial Intelligence and Machine Learning Algorithms," has demonstrated remarkable staying power across multiple publication cycles, accumulating 73 citations in its 2019 iteration and an additional 46 citations in a 2022 follow-up — reflecting sustained and growing interest in her foundational work. Together, these papers have garnered nearly 120 citations, underscoring her role as a consistent and reliable voice in a rapidly evolving field. For students and researchers navigating the complexities of AI-driven data analysis, Chahal's work provides an accessible yet rigorous entry point into understanding how intelligent systems can transform raw data into actionable knowledge across diverse industries.
Research Focus
Key Achievements
Top Papers
- 1Artificial Intelligence and Machine Learning Algorithms73 citations · 2019
- 2Artificial Intelligence and Machine Learning Algorithms46 citations · 2022