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About

Mohammad Ahsan Chishti is an emerging researcher whose work spans two dynamic and increasingly intersected fields: artificial intelligence applications in finance and autonomous mobile robotics. His 2024 paper on AI applications in accounting and finance, already garnering 16 citations, examines how Industry 4.0 transformations are reshaping financial ecosystems through intelligent automation and strategic digital adoption — establishing him as a thoughtful voice at the intersection of technology and business. Alongside this, Chishti has developed a substantial body of work focused on mobile robot navigation, contributing comprehensive reviews of path planning techniques and AI-enhanced navigation strategies in both known and unknown environments, each attracting meaningful early citations within the research community. His 2025 work on deep reinforcement learning — specifically an improved Twin Delayed Deep Deterministic Policy Gradient (TD3) framework — demonstrates his commitment to advancing practical, mapless robot navigation. Notably, his research on autonomous robot-assisted logistics during Hajj highlights a rare ability to apply cutting-edge robotics to real-world humanitarian challenges. With a growing citation record and cross-disciplinary reach, Chishti represents a promising voice in applied AI research.