Research Groups

Dr Helen Crompton is the Executive Director of the Research Institute for Digital Innovation in Learning (RIDIL) at ODUGlobal and an Associate Professor of Instructional Technology, at Old Dominion University (ODU). She is also the Director of the Virtual Reality Lab at ODU. She draws from 30 years in education and a Ph.D. in educational technology and mathematics education from the University of North Carolina at Chapel Hill. Crompton is on Stanford’s list of the top 2% of scientists in the world and she has received numerous awards in the USA and her home country England for her work in technology integration, including the SCHEV award for the Outstanding Professor of Virginia. She is a consultant for various governments and bilateral and multilateral organizations, such as the United Nations and the World Bank on educational technology topics. She also consults for organizations, such as the International Society for Technology in Education (ISTE). Dr. Crompton has published over 150 articles on technology integration including authoring publications for the United Nations, the World Bank, and ISTE.

Pushpendra Kumar is a young mathematician from India. He holds a master's degree from the Central University of Punjab, Bathinda. He has published nearly 50 research papers in more than 20 reputed international journals. His research works are related to the mathematical modelling of various real-world problems, fractional calculus, and computational methods. More specifically, Mr Kumar has done novel work on the modelling of infectious diseases. He is a reviewer for several international journals.

Professor Charis Harley is Head of the Data Science Across Disciplines Research Group at the IFK and 4IR Professor in the Faculty of Engineering and the Built Environment at UJ. She is an accomplished researcher in the field of computational mathematics with over 30 articles, experience at a range of elite universities, and multiple research grants. She also has experience in industry as an analyst and quantitative analyst, with practise in data analysis ranging from the use of filters; Auto-Correlation; Principal Component Analysis; Exploratory Data Analysis, to the use of more advanced methods of data analytics.