Max Robotics — Global Service Robot Directory + US Certification

About

Mahmood Shafiee is a prominent researcher whose work spans the intersecting domains of artificial intelligence, robotics, autonomous systems, and engineering health management. His most influential contribution, "Artificial Intelligence in Prognostics and Health Management of Engineering Systems" (2021), has garnered over 131 citations, establishing him as a leading voice in applying AI-driven methodologies to predict and manage the lifecycle of complex engineering assets. Shafiee has significantly advanced the field of machine learning for robotic inspection, demonstrating how deep learning can be harnessed to analyze complex datasets in mechanical and civil infrastructure contexts — work that has attracted 64 citations since 2022. His research extends into cutting-edge medical robotics, with highly cited reviews on augmented reality in surgical systems (62 citations) and snake robots for surgical applications (46 citations), collectively pushing boundaries in minimally invasive surgical technology. Beyond theoretical contributions, Shafiee bridges research and practical application, as evidenced by his hands-on work designing Android-controlled robotic arms using rapid prototyping. Across his portfolio, Shafiee demonstrates a rare ability to connect foundational AI techniques with real-world engineering and healthcare challenges, making his work essential reading for researchers in robotics, autonomous systems, and intelligent maintenance.