Masoud Mohammadian
University of Canberra, Edith Cowan University, Monash University
Papers
12
Total Citations
170
H-Index
7
About
Masoud Mohammadian is a prominent researcher whose work spans computational intelligence, fuzzy logic systems, and rehabilitation robotics — fields in which he has made sustained and increasingly impactful contributions over three decades. His early foundational work focused on intelligent control systems, most notably the development of hierarchical fuzzy logic controllers and genetic algorithm-based learning frameworks for multi-robot collision avoidance and mobile robot navigation, establishing him as a pioneer in adaptive autonomous systems. His edited volumes on computational intelligence and intelligent systems, published around 2000, helped shape the broader research community by consolidating emerging theory and applications across the field. In more recent years, Mohammadian has pivoted toward the growing intersection of robotics and physical rehabilitation, earning his most-cited work — a 2021 review of lower limb exoskeleton robots (73 citations) — that has become an essential reference for engineers and clinicians alike. His subsequent research on topology optimization of underactuated rehabilitation robots and deep learning-enhanced exoskeleton control reflects a commitment to translating intelligent systems principles into life-changing assistive technologies. Collectively, his body of work demonstrates a coherent trajectory from foundational AI theory to real-world human-centered robotics, making him a valuable figure for students working at this compelling interdisciplinary frontier.
Research Focus
Key Achievements
Top Papers
- 1
- 2New Frontiers in Computational Intelligence and its Applications30 citations · 2000
- 3Adaptive two layer fuzzy control of a mobile robot system12 citations · 2002
- 4Modelling, Control and Prediction using Hierarchical Fuzzy Logic Systems11 citations · 2017
- 5Knowledge acquisition for target capture9 citations · 2002
- 6Advances in Intelligent Systems: Theory and Applications9 citations · 2000
- 7Self-learning Hierarchical Fuzzy Logic Controller in Multi-Robot Systems8 citations · 1995
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- 10