Summary
Yusnaidi Yusof is a Senior Lecturer and researcher based in Kuala Lumpur with over a decade of experience applying machine learning to Wireless Sensor Networks (WSNs). He specializes in radio scheduling for WSNs, combining practical expertise with TinyOS, OMNeT++/C++ simulations and TelosB sensor motes to bridge theory and deployment. His background in real-time systems (MSc Software Engineering) informs Mobile-AI work for Android and iOS, enabling efficient edge intelligence solutions. Having researched at Newcastle University and led AI-for-WSN projects at Universiti Teknologi Malaysia since the late 1990s, he brings deep institutional knowledge and long-term continuity in the field. Beyond publications and simulations, he has hands-on experience porting ML insights into constrained devices — a niche that sits between networking, embedded systems and mobile AI.
10 years of coding experience
4 years of employment as a software developer
MSc Software Engineering, Real Time Systems, MSc Software Engineering, Real Time Systems at Universiti Teknologi Malaysia
Malaysian Certificate of Education, Science Stream, Malaysian Certificate of Education, Science Stream at Ahmad High School, Pekan, Pahang
English, Malay