Murali Krishnan

Singapore University of Technology and Design

Papers

Total Citations

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About

Murali Krishnan is a multidisciplinary researcher whose work bridges advanced manufacturing and neural engineering. His primary research areas include automated fibre placement (AFP) for composite fabrication and electroencephalography (EEG)-based brain-machine interfaces (BMI) for robotic control. In manufacturing, Krishnan has made significant contributions by experimentally investigating the fabrication of thermoset prepreg composites using robot-based AFP combined with 3D-printed substrates—a novel approach that addresses critical tooling challenges for large, complex-geometry composite structures. This work, published in 2019, has garnered 14 citations and highlights his role in advancing AFP toward industrial maturity. In neural engineering, Krishnan authored a comprehensive 2015 review on EEG-based BMIs for controlling mobile robots, which has accumulated 12 citations. This paper systematically examines the rapid evolution of thought-based brain signal control systems, a multidisciplinary field that has seen remarkable achievements. Krishnan’s work demonstrates a unique ability to integrate materials science, robotics, and neuroscience, offering practical solutions for both high-performance composites and assistive technologies. His research continues to influence students and researchers exploring the frontiers of smart manufacturing and brain-controlled systems.