Hussein Issa

Hussein Issa received his Ph.D. in Accounting Information Systems from Rutgers University in October 2013. He led numerous research projects with banks, large multinational consumer products companies, a telecommunication company, and one of the Big Ten university’s internal audit department, among others. His research focuses on the applications of emerging technologies, such as blockchain, RPA, artificial intelligence and machine learning to Auditing and Accounting. He developed different methodologies to identify and prioritize exceptions (which was the topic of his dissertation "Exceptional Exceptions"). In these projects, Hussein developed various statistical and machine learning models to address business problems, such as fraud detection, outlier identification, pattern recognition, operational efficiency, customer profiling, and continuous control monitoring of procurement systems, among others. Hussein has also recently taken interest in Robotic Process Automation (RPA) and the application of AIS methodologies to Government Reporting. Hussein also serves on the dissertation committees of several Ph.D. students.

Hussein teaches/taught Data Analytics Seminar (Doctorate of Business Administration), ...