Papers
3
Total Citations
77
H-Index
3
About
Muhammad Abeer Irfan is a multidisciplinary researcher whose work spans robotics, artificial intelligence, cybersecurity, and healthcare informatics. His research portfolio reflects a consistent drive to apply intelligent computational methods to complex, real-world systems. In the domain of autonomous robotics, Irfan has made significant contributions through his work on attitude estimation for micro-aerial vehicles, leveraging feature matching techniques and deep learning models to address cybersecurity vulnerabilities in robotic applications — a paper that has garnered 32 citations since its 2022 publication. Equally impactful is his earlier foundational work on auction-based task allocation for heterogeneous robotic swarms, also accumulating 32 citations, which advanced collective decision-making frameworks in multi-robot coordination. More recently, Irfan has extended his expertise into AI-driven healthcare, authoring a systematic exploration of advancements, challenges, and future directions in smart medical AI systems, already attracting 13 citations within its first year. Across these diverse domains, his research consistently bridges theoretical innovation with practical application, positioning him as a versatile and forward-thinking contributor to the growing intersection of artificial intelligence, autonomous systems, and intelligent healthcare solutions.
Research Focus
Key Achievements
Top Papers
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