Most recently, Rada's application area has shifted to finance, and his intention is to explore the intersections of information systems and investing with an emphasis on the evolving knowledge structures underlying these systems. He has systematically reviewed the application of machine learning techniques to investing and shown the open problem of how to add knowledge to these applications. He is now building an Evolving Investing system. This system will support experiments in which knowledge about finance is a substrate for machine learning techniques. Part of the Evolving Investing research program is to theorize, engineer, and experiment. The research program will also address how financial groups and organizations achieve synergy with their information systems.
For information about Professor Rada’s research funding history, click this link.