His main interests includes the research and study of brain-inspired functional and computational models of memory structures that underlie the human reasoning process. In addition, advanced brain-inspired reasoning and cognition frameworks such as focus of attention, affect modeling, skill learning from novice to expert are actively investigated using the neurocognitive informatic approach. Fuzzy, Fuzzy neural, Neural, GA, GA-Neural, Rough set that maps formal fuzzy logical structures onto neural systems to perform fuzzy set derivation and Rule identification/reduction are investigated. The development of architectures that supports on-line and off-line learning fuzzy intelligent rule based systems is examined. The research issues cover fuzzy clustering, learning, modeling, fuzzy rule model, etc. These basic techniques are used to craft the brain-inspired memory learning systems. These memory learning structures are the building blocks of the functional neuro-cognitive brain and they can be broadly classified into huppocampal global semantic memories and neocortical like semantic association memories. In addition, research into CMAC and in-house developed MCMACs and Fuzzy MCMACs are actively pursued. They form a class of cerebellar like association memories that have excellent memory resolution and recall. The application areas are extensive as they rely heavily on the basic research into brain-inspired learning memory structures and brain-inspired cognitive architectures for emotion, cognition and perception modeling. The exciting application areas include computational finance ? arbitration, portfolio, trend analysis, bond and commodity trading; biomedical engineering ? diabetes modeling and control, ICU ventilator control; Affect modeling for edutainment, forensic tools, marketing research tools; Medical decision support tools ? thermograph analysis, pediatric leukemia and ovarian cancer analysis; Intelligent transportation analysis tools ? trend analysis and incident monitoring; as well as student affect modeling in Intelligent Tutoring System
