Babatunde Hezekiah

University of Virginia

Dr Hezekiah Babatunde is a faculty at the University of Virginia’s College at Wise, VA, USA. He completed his PhD degree in Computer Science from the School of Computer and Security Science, Edith Cowan University, Perth, WA, Australia in 2015. He developed an award-winning computer-based vision system for automatic identification of plant species based on the images of their leaves during his Ph.D. candidacy. He also holds a B.Sc degree in Mathematical Sciences (computer major) and three different MSc degrees in Applied Mathematics, Computer Sciences and Organizational Leadership from FUNNAB, University of Ibadan and Charleston Southern University (USA) respectively. He has worked as a Postdoctoral Research Associate in Systems Biology in Professor John Yin’s Laboratory at the university of Wisconsin, Madison, USA where he studied and made research on Systems Biology. His interests cut across machine learning, image and signal processing, systems biology, operations research, mathematical modeling (using ODE, PDE and SDE). His educational, teaching, and research experiences span the region of Africa, Australia, and North America (USA). He has been teaching both online and in-class courses for more than 12 years, using several LMS tools such as Blackboard, Moodle, Canvas and Zoom. He uses other tools suitable for teaching computer programming, IT, and mathematics courses, and such includes Microsoft whiteboard, Google classrooms and few others. He is an Arcitura Certified Big Data Consultant and currently conducting research on data science solutions, information security, and systems biology (mathematical modeling and simulation of chemical and biological systems). He is able to proactively identify and deliver value-add statistical and data science insights and solutions, engaging and influencing stakeholders to drive incremental value. He has analytics experience that can help business users discern and capture the Voice of Customers (VoC) from online media such as blogs, forum postings and news articles; from email, chat interactions and others.