Saiful Bahri Mohamed

Universiti Teknologi MARA, Sultan Zainal Abidin University

Papers

Total Citations

125

H-Index

About

Saiful Bahri Mohamed is a pioneering researcher in the intersection of biomedical engineering and human-computer interaction, with a primary focus on emotion detection through neurophysiological signals. His most impactful work, "Human Emotion Detection via Brain Waves Study by Using Electroencephalogram (EEG)" (2016), has garnered 112 citations, establishing him as a key contributor to affective computing. This research revolutionizes how emotions are identified by analyzing brain wave patterns rather than relying on ambiguous facial expressions or behavior, and it includes the development of software capable of rapidly detecting human emotional states. Beyond this, Mohamed has contributed to manufacturing systems with his work on "A Cell Management System to Support Robotic Assembly" (2001), demonstrating versatility in engineering. His EEG-based emotion detection research holds significant promise for applications in mental health monitoring, adaptive learning systems, and human-robot interaction. By bridging neuroscience and technology, Mohamed provides a more objective, data-driven approach to understanding human emotions, making his work essential for students and researchers exploring non-invasive brain-computer interfaces and the future of emotionally intelligent machines.