Papers
13
Total Citations
364
H-Index
8
About
Mufti Mahmud is a multidisciplinary researcher whose work bridges neuroengineering, brain-machine interfaces, assistive robotics, and artificial intelligence. With a career spanning over fifteen years, he has made foundational contributions to the development of EEG-based brain-machine interfaces, pioneering early systems that enabled the navigation of mobile and robotic devices through decoded neural signals — work that laid groundwork for more sophisticated neuroprosthetic applications. His 2016 paper on neuroengineering trends, cited 78 times, articulated a compelling vision for brain-inspired, energy-efficient communication between biological and artificial systems, positioning him as a forward-thinking voice in the neuroprosthetics field. Mahmud's research has expanded meaningfully into healthcare robotics and AI-driven assistive technologies, including anomaly detection systems for monitoring older adults' daily activities — addressing urgent global challenges around aging populations and independent living. His 2020 paper on healthcare robots combating COVID-19, his most cited work with 92 citations, demonstrated his ability to apply robotics expertise to pressing real-world health crises. More recently, his contributions span underwater target detection and intelligent automation frameworks. Collectively, his portfolio reflects a researcher committed to translating computational and robotic innovation into tangible humanitarian benefit.
Research Focus
Key Achievements
Top Papers
- 1Healthcare Robots to Combat COVID-1992 citations · 2020
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- 4EEG based brain-machine interface for navigation of robotic device28 citations · 2010
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- 8Intelligent Automation Framework Using AI and RPA: An Introduction11 citations · 2023
- 9EEG Based Brain-Machine Interfacing: Navigation of Mobile Robotic Device7 citations · 2011
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