Papers
14
Total Citations
129
H-Index
6
About
Hamed Fazlollahtabar is a distinguished researcher whose work sits at the intersection of reliability engineering, industrial automation, and intelligent manufacturing systems. His scholarly contributions span fault tree analysis, autonomous guided vehicles, robotic system reliability, and the evolving paradigms of Industry 4.0 and 5.0, making him a pivotal figure in advancing modern manufacturing intelligence. Fazlollahtabar's most impactful contribution, "Fault Tree Analysis for Reliability Evaluation of an Advanced Complex Manufacturing System" (2018, 42 citations), introduced an integrated approach combining minimal paths and cuts techniques with reliability block diagrams to rigorously assess industrial robot reliability — a methodology now widely referenced in the field. His 2015 monograph on autonomous guided vehicles further cemented his expertise in optimal path planning for automated environments. His more recent work reflects a forward-looking vision, exploring IoT-integrated SCADA systems, fuzzy neural Bayesian networks for robotic decision-making, retrieval-augmented generation for human-robot interaction, and game-theoretic models for Industry 5.0 adoption in developing economies. This breadth demonstrates his ability to bridge foundational reliability theory with cutting-edge artificial intelligence applications. Collectively, his publications have garnered over 100 citations, establishing Fazlollahtabar as an influential voice shaping the future of intelligent, reliable, and autonomous manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Autonomous Guided Vehicles: Methods and Models for Optimal Path Planning15 citations · 2015
- 4Reliability Models of Complex Systems for Robots and Automation13 citations · 2017
- 5
- 6
- 7
- 8
- 9
- 10