AIML Faculty Publishes Research in Scopus & Web of Science Journal

Anurag University proudly congratulates Ms. Nagineni Venkata Sireesha, Assistant Professor, Department of Artificial Intelligence & Machine Learning (AIML), on the successful publication of her research paper titled "Performance Enhancement of a 15-Level Reduced-Switch MLI through THD Reduction using Hybrid Metaheuristic Optimization Techniques." The paper has been published in Discover Applied Sciences, an internationally recognized journal indexed in Scopus and Web of Science, with an Impact Factor of 3.8 and an H-Index of 90.

The research focuses on enhancing the performance of a 15-level reduced-switch multilevel inverter (MLI) by minimizing Total Harmonic Distortion (THD) through advanced hybrid metaheuristic optimization techniques. The proposed approach improves power quality, system efficiency, and reliability, making it highly relevant for modern power electronics, renewable energy integration, and smart electrical systems.

This publication reflects the Department of AIML's commitment to interdisciplinary research that combines artificial intelligence with cutting-edge engineering applications. It also reinforces Anurag University's dedication to fostering impactful research that addresses real-world technological challenges and contributes to advancements in sustainable and intelligent energy solutions.