Aquib Ali Khan

Papers

Total Citations

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About

Aquib Ali Khan is a pioneering researcher at the intersection of artificial intelligence and forensic dentistry, with his most cited work, "Artificial intelligence in forensic odontology – A review" (2023, 11 citations), serving as a cornerstone for the field. His research focuses on leveraging AI-driven robotic advancements to revolutionize dental and medical documentation, particularly through cloud-based systems that ensure reliable data backup and retrieval. Khan’s major contribution lies in demonstrating how machine learning algorithms can mimic human cognitive functions to enhance accuracy in forensic identification, a critical advancement for legal and humanitarian applications. His work has already garnered attention for its potential to streamline evidence analysis in criminal investigations and disaster victim identification. By bridging cutting-edge AI with traditional forensic odontology, Khan is shaping a future where automated systems can assist experts in solving complex cases with unprecedented precision. His review paper stands as a vital resource for researchers and practitioners alike, highlighting the transformative role of artificial intelligence in modern forensic science.