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About

Dr. Zairi Ismael Rizman is a pioneering researcher at the intersection of biomedical engineering, artificial intelligence, and robotics. His most influential work, "Human Emotion Detection via Brain Waves Study by Using Electroencephalogram (EEG)" (112 citations), has significantly advanced affective computing by demonstrating that human emotions can be reliably identified through brain wave analysis—a breakthrough with profound implications for mental health diagnostics and human-computer interaction. Dr. Rizman has also made substantial contributions to nonlinear system modeling, developing novel optimization algorithms for structure selection in NARMAX models. His work on Binary Particle Swarm Optimization (57 citations) and Binary Artificial Bee Colony algorithms has provided powerful tools for feature selection in complex dynamical systems, particularly for flexible robot arm control. Further extending his impact into robotics, he has optimized Central Pattern Generator controllers using genetic algorithms for legged locomotion and developed voice recognition systems for robotic control. With a research portfolio spanning EEG-based emotion detection, nonlinear system identification, and intelligent robotics, Dr. Rizman’s work demonstrates remarkable versatility, bridging theoretical algorithm development with practical applications in assistive technology and autonomous systems.