Summary
Fuad Noman is a lecturer and researcher with eight years of experience applying signal processing and machine learning to biosignals, specializing in cardiovascular and neurological anomaly detection. Holding a PhD in Bioengineering from Universiti Teknology Malaysia, he combines algorithm research and operations‑research optimization with practical data‑driven decision making in academic and applied settings. His background spans postdoctoral roles and current teaching at Monash University Malaysia, reflecting a strong record of translating research into usable systems and user‑centered designs. Early industry roles in software engineering and logistics honed his systems troubleshooting and stakeholder communication skills, giving him a pragmatic edge when moving prototypes toward real-world use. Known for fast self‑learning and execution, he brings creativity in user experience and interdisciplinary collaboration to bridge engineering, healthcare, and education.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Telecommunication Systems., A, Master's degree, Telecommunication Systems., A at Universiti Teknikal Malaysia Melaka (UTeM)
Doctor of Philosophy (PhD), Bioengineering and Biomedical Engineering, Doctor of Philosophy (PhD), Bioengineering and Biomedical Engineering at University Technology Malaysia
Bachelor degree, Electronics Engineering; Telecommunications, A, Bachelor degree, Electronics Engineering; Telecommunications, A at Sudan University for Science and Technology (SUST)