Okoye,Kingsley Arinze

Dr. Kingsley Okoye received his Ph.D. in Software Engineering from the University of East London, UK, in 2017. He also completed an MSc in Technology Management in 2011, and a BSc in Computer Science in 2007. He is a devoted researcher both in Industry and Academia, in hardware and software fields of Computing such as Data Science, Machine Learning, Artificial Intelligence, Big Data and Advanced Analytics, Software Development and Programming, and Business Process Management. He has taught Software Programming and Development for the undergraduates courses, worked as a Data Architect, and currently a Research Professor at Institute for Future of Education, in Center for Educational Innovation, Tecnologico de Monterrey. He is a member of the Mexican National Academy of Researchers (SNI), Senior Member of The Institute of Electrical and Electronics Engineers (IEEE), Member of Institution of Engineering and Technology UK (IET), Machine Intelligence Research Labs, USA, IEEE SMCS Technical Committee (TC) on Soft Computing, and IEEE Computer Society. It is Kingsley's mission is to foster sustainable technical research and development, and provide solutions through critical thinking, creative problem-solving and cross-functional collaboration. He has contributed to research and project outcomes by participating, assessing, and evaluating their impact upon the scientific and industrial communities. He has more than 40+ scientific publications published as Books, Journal articles, Book chapters, and Conference proceedings (including Best Paper Award) in high-indexed Q1/Q2 reputable journals, book publishers, and conferences in the areas of Computing, Higher Education, and Educational Innovation, as a result of his research. He also serve as Associate Editor, Book Editor, Guest Editor, Editorial board member, Program committee, Co-chair and Special-session organizer in reputable journals and conferences, and publishers in Computer Science and Education; such as Journal of Big Data (Springer), Computers and Electrical Engineering (Elsevier), Frontiers in Education and Frontiers in Computer Science (Frontiers), IEEE sponsored (Scopus-indexed) Conferences and Workshop, and Elsevier Publishing Ltd. His research interests include: Process Mining and Automation, Semantic Web Technologies, Learning Analytics and Systems Design, Data Science, Educational Technologies, Artificial Intelligence, Machine Learning, Text Mining, Computer and Education, Educational Innovation, Knowledge Engineering and Data Management, Internet Applications and Ontology.