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Dr. Tofazzal Hossain earned his Doctorate in Engineering from the Graduate School of Information, Production and Systems at Waseda University in Japan in 2013. His research experience includes develop computational model of automated and intelligent systems for optimal solutions in the complex problems using Evolutionary Computation (EC) methods, Machine Learning, and Artificial Intelligence (AI). In his research, Dr. Tofazzal utilized complex genetic and evolutionary functions, such as Selection, Crossover, Mutation, and Elite Preservation in each generation of the evolution. He used an upper level evolutionary method named, Masbiole (Multiagent Systems with Symbiotic Learning and Evolution) to introduce “Symbiosis”, a biological relationship between two species in the ecosystem in which they live in close proximity to each other and interact regularly in such a way as to benefit both species, sometimes one species benefits at the other’s expense, and in other cases nether species benefits. Dr. Tofazzal finds 6 kinds of symbiotic relations possible between 2 species in the echo system, such as Mutualism, Predation, Altruism, Harm, Self-Improvement, and Self-Deterioration. He mapped these relations to algorithm to solve the Multi-objective optimization of the problem. Currently Dr. Tofazzal is working as a senior researcher at the Advanced Technological Research and Development Institute of Intec Inc, Japan.
His research tasks include develop algorithm, computational and mathematical model for data mining and data fusion to predict, optimize, and analysis big data using machine learning methods, AI, and applied statistical functions.