The complexity and depth of the problems organizations are facing today, the remarkable advances in computing and new technologies, and access to large data, have created situations that organizations, policymakers, and decision-makers are facing great challenges. On one hand, the complexity of the problems, and in particular their dramatic financial, social, and environmental consequences, make it difficult to achieve efficient solutions. On the other hand, the spectacular competition in all aspects and the need for a decent solution have tremendous acceleration.
Based on the belief in scientific and research progress in the context of deep and extensive cooperation between the university and organizations, industries, and society, the CIIORG of the Persian Gulf University, here at Bushehr, was established in July the 19th, 2017. Since then and based on the scientific background of its members, the CIIORG has produced valuable scientific achievements. We offer solutions and organizational applications based on computational intelligence, intelligent optimization, simulation, and scientific-practical advanced and intelligent algorithms that relate to metaphors and techniques of computational and artificial intelligence.
The focus of research is to build, expand, and innovate in new computing techniques, bio-based computing, evolution, operating-based technology, systems dynamics, and hyper-algorithms. In this research group, novel methods on the boundaries of knowledge will be developed to solve the micro, macro, and strategic issues of organizations and industries, in particular in the areas of energy, healthcare, transportation, petrochemicals, organizations, and the public sector (government and municipalities).
Currently, this research group is dealing with the following projects:
Machine Learning methods in fighting against the Coronavirus pandemic,
Machine Learning methods in Vitamin D ِDeficiency,
Machine Learning methods in the treatment of Breast Cancer,
Integration of Data Science and Optimization methods to minimize carbon footprint in hospitals.
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