Akhilesh Kumar Khan

Papers

Total Citations

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About

Dr. Akhilesh Kumar Khan is a pioneering researcher at the intersection of artificial intelligence, machine learning, and applied engineering, whose work is shaping the future of smart systems and business management. His most influential paper, "The Emergence of Artificial Intelligence and Machine Learning in Contemporary Business Management" (2023), with 64 citations, establishes him as a leading voice on how supervised and unsupervised learning algorithms can revolutionize corporate decision-making. Dr. Khan’s contributions extend into critical infrastructure, where his work on "Software Reliability Analysis with Various Metrics using Ensembling Machine Learning Approach" (17 citations) introduces novel ensemble methods for enhancing the dependability of military surveillance robots—a vital advancement for national security. His forward-looking research on "AI-Driven Traffic Control Systems For Smart Cities In Civil Engineering" (2 citations) demonstrates his commitment to integrating IoT and data-driven automation into urban planning. By bridging the gap between theoretical machine learning and real-world applications in business, defense, and civil engineering, Dr. Khan’s work is not only highly cited but also foundational for students and researchers seeking to understand how AI can drive efficiency and reliability across diverse sectors.