Assistant Professor experienced in Artificial Intelligence (AI). Has over 10 years’ experience in developing and leading information technology projects. Worked on many research projects in the fields of data Science, artificial intelligence, machine learning, Brain Computer interface (BCI) and multidisciplinary fields such as bio-signals, preference recognition, neuromarketing, recommender system and case base reasoning. A highly motivated and experienced professional who seeks to leverage big data to discovery insights and identify patterns that have real human impact.
Individual choices and preferences are important factors that impact decision making. Artificial intelligence can predict decisions by objectively detecting individual choices and preferences…
Neuro-tourism is the application of neuroscience in tourism to improve marketing methods of the tourism industry by analyzing the brain activities of tourists. Neuro-tourism provides accurate real…
In education, it is critical to monitor students’ attention and measure the extents to which students participate and the differences in their levels and abilities. The overall goal of this study…