Hussein Issa

Hussein Issa is an Associate Professor of Accounting Information Systems at Rutgers Business School. He received his PhD in Accounting Information Systems from Rutgers University in 2013. Hussein led numerous research projects with banks, large multinational consumer products companies, a telecommunication company, one of the Big Ten university’s internal audit department, among others. His research focuses on the applications of emerging technologies, with a focus on AI and ML, in Auditing and Accounting. In these projects, Hussein proposed various statistical and machine learning models to address business problems, such as fraud detection, outlier identification, pattern recognition, operational efficiency, customer segmentation, continuous control monitoring of procurement systems, among others. Hussein’s research interests include applications of AI and ML, Robotic Process Automation (RPA), blockchain, and generative AI, in accounting and auditing both in the private and public sectors. Hussein also serves on the dissertation committees of several doctoral students.

Hussein teaches/taught Data Mining and Business Intelligence (Doctorate of Business Administration), Advanced Design and Development of Information System (Masters in Accountancy in Governmental Accounting), Design and Development of Information System (Masters in Accountancy in Governmental Accounting), Information Technology in the Digital Era (Professional Accounting MBA), Audit Analytics (Undergraduate), and Introduction to Financial Accounting (Undergraduate). He also co-teaches a PhD level course discussing current topics in AIS Research. Additionally, Hussein is currently leading the AI integration across all curricula and various AI initiatives at Rutgers Business School, such as an AI certificate program that was launched in Spring 2026, and manages the Build Your Own Course (BYOC) series. He is overseeing the creation of various AI agents that include a virtual academic assistant, a module recommender system for the BYOC courses, and virtual TA. Hussein also serves on the Academic Technology Advisory Council, and recently served on the AI Academic working group.