Amelia Ritahani Ismail
International Islamic University Malaysia, University of York
Papers
9
Total Citations
77
H-Index
4
About
Amelia Ritahani Ismail is a pioneering researcher at the intersection of biologically inspired computing, artificial immune systems, and swarm robotics. Her work is distinguished by a remarkable creative leap: translating the human immune system's defensive mechanisms — particularly granuloma formation — into algorithms that enable robot swarms to detect, respond to, and recover from faults autonomously. This "self-healing" paradigm represents a significant contribution to the field of resilient robotic systems, addressing one of swarm robotics' most pressing practical challenges. Her most influential work, "An immune-inspired swarm aggregation algorithm for self-healing swarm robotic systems" (2016), has garnered 42 citations and stands as the cornerstone of her research program, which she developed progressively from early foundational studies beginning in 2009. Beyond fault tolerance, Ismail has expanded her scope to tackle energy management in swarm systems, exploring foraging-based charging strategies and immune-inspired energy sharing algorithms — critical concerns for real-world deployment. Her body of work, accumulating over 77 citations, has helped establish immunological principles as a credible and productive framework for engineering robust, self-organizing multi-robot systems, inspiring subsequent researchers to look to biology for solutions to complex engineering problems.
Research Focus
Key Achievements
Top Papers
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- 3Immune-inspired self-healing swarm robotic systems8 citations · 2011
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- 8An Artificial Immune System for Self-Healing in Swarm Robotic Systems2 citations · 2015
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