Dr. Nina Kajiji holds a B.Com. (1980) from Bombay University, India; an M.B.A. (1982), a M.S. Statistics (1991), and a Ph.D. Applied Mathematics (2001), from the University of Rhode Island, Kingston, Rhode Island. Nina’s principal research interest centers on the application of econometric and multivariate data techniques to research problems facing the financial services industry and in the field of education. As part of her Masters’ thesis development, she applied factor analytic methods to the construction of a market optimal insurance industry price index. As part of her dissertation, she enhanced a traditional radial basis function (RBF) artificial neural network (ANN) by incorporating closed-form solution to the regularization parameters (K4 RBF ANN). The network was used to predict volatility of the S&P 500 Options on Futures from high-frequency data. Nina is the co-owner of the NKD Group, Inc. The firm produces web-enabled analytical and decision-making software for the student market. The main product, WinORSe-AI, incorporates principles of financial engineering, statistics, operations research, and economics primarily for students of business.
Research models using WinORSe-AI have been presented to capital market professionals in Italy, India, Thailand, South Africa, and Lithuania. Recently, Dr. Kajiji presented classification and prediction models developed using the proprietary k4 RBF ANN to researchers in the field of education in Tunisia, Germany, and Canada. Dr. Kajiji’s research has been published in: Canadian Journal of Operational Research and Information Processing (INFOR),Operational Research, The African Finance Journal,The Journal of Multi-Criteria Decision Analysis, and Journal of Computing and e-Systems. Dr. Kajiji has also published analytical software in financial engineering, statistics, and operations research (with Dr. Dash). The two-volume set is entitled: Operations Research Software, Volumes I and II (Richard D. Irwin, Inc.). Other publications include 9 years of Information Works! the official State Report Card that measures Rhode Island schools for change. This was a yearly publication that was jointly produced by the University of Rhode Island and Rhode Island Department of Elementary and Secondary Education. In addition to her research and programming responsibilities, Nina has taught several courses in Statistics, Operations Research, and Finance at the University of Rhode Island, Rhode Island College, and Johnson & Wales University. She was invited as a Visiting Professor of Statistics at Adjunct Professor, Istituto Superiore per Imprenditori e Dirigenti di Azienda, Italy (ISIDA) where she taught the course Advanced Multivariate Methods.