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About

Aamir Khan is a multidisciplinary researcher working at the dynamic intersection of robotics, automation, and chemical synthesis. His work spans two compelling domains: intelligent robotic inspection systems for manufacturing and remanufacturing industries, and the automation of complex chemical synthesis processes. Khan's contributions to automated chemistry have been particularly impactful. His landmark 2022 paper on digitizing chemical synthesis literature within the ChemPU platform — garnering 95 citations — demonstrated that a database of 100 diverse organic reactions could be made automatically executable, representing a significant leap forward in synthetic chemistry automation. Building on this, his 2024 work introduced a self-optimizing programmable chemical synthesis engine capable of real-time adaptation, discovering and optimizing new molecules through continuous sensor monitoring, already accumulating 47 citations. In parallel, Khan has advanced vision-guided robotic inspection, developing adaptive systems for non-destructive testing and quality assurance in circular economy manufacturing contexts, with his 2020 paper earning 55 citations. Together, his research portfolio reflects a broader mission: deploying intelligent, adaptive robotic systems to solve complex real-world challenges in both industrial inspection and scientific discovery.