Dr. Anas Rao | Data-Driven Decision Making | Best Researcher Award
Lecturer | UET Lahore | Pakistan
Dr. Anas Rao is a researcher at UET Lahore, Pakistan, specializing in data-driven decision making for advanced energy and mechanical systems. His work integrates machine learning, artificial intelligence, and statistical modeling to optimize hydrogen-enriched internal combustion engines, with a strong focus on NOx emission prediction, combustion analysis, and performance optimization. He applies ANNs, SVMs, and hybrid AI models to experimental and simulation data, enabling accurate, real-time decision support for cleaner and more efficient engine design and operation.
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Featured Publications
Experimental and Artificial Neural Network Study of Hydrogen-Enriched CNG Engine
– Applied Energy, 2018 (149 citations)
– Applied Energy, 2018 (149 citations)
Comparative Study of NOx Prediction Models for HCNG Engines
– Int. Journal of Hydrogen Energy, 2017 (51 citations)
– Int. Journal of Hydrogen Energy, 2017 (51 citations)