Alexander Kogan

Professor

Area of expertise

973-353-1064 kogan@business.rutgers.edu Curriculum Vitae

Professor Kogan’s areas of research include expert systems and artificial intelligence, internet technology and electronic commerce, knowledge-based decision support systems, accounting information systems, reasoning under uncertainty, productivity accounting and data analysis.

Academic degrees

Ph.D., Computer Center of the USSR Academy of Sciences; Computer Science

Publications

Publications with PhD Students and Alumni:

Cong Y. Kogan A. and Vasarhelyi M. "The Association between Firms' Nature and Financial Statement Presentation Formats: On the Comparability of Income Statement Formats" Working Paper, Towson, 2005.

A.Kogan. M.Alles. M.Vasarhelyi. J.Wu. Continuity Equations in Continuous Assurance. Presented at AAA annual meeting. Orlando, 2004.

Dissertations Supervised

Name: Wei, Danyang
Graduation Date: 2024/May

Name: Tojiboyev, Nuriddin
Graduation Date: 2022/May

Name: Freiman, Jamie
Graduation Date: 2020/October

Name: Wang, Yunsen
Graduation Date: 2018/May
Thesis Title: Designing Continuous Audit Analytics and Fraud Prevention Systems Using Emerging Technologies

Name: Yin, Cheng
Graduation Date: 2018/May
Thesis Title: The Utilization and Effect of Information Transfer in Auditing: Among Audit Engagement Teams, Audit Clients, and Supply Chain Partners

Name: Li, Pei
Graduation Date: 2016/May
Thesis Title: Analytics with Exception Prioritization, Consumer Search Volume, and Social Capital

Name: Byrnes, Paul
Graduation Date: 2015/October
Thesis Title: Developing an Automated Application for Clustering and Outlier Detection: Data Mining Implications for Auditing Practice

Name: Chychyla, Roman
Graduation Date: 2014/May
Thesis Title: Essays on Accounting Data Difference and Audit Learning

Name: Issa, Hussein
Graduation Date: 2013/October
Thesis Title: Exceptional Exceptions

Name: Chan, David
Graduation Date: 2012/May
Thesis Title: The Relationship between an Independent Audit and Financial Reporting Quality: Evidence from Small Private Commercial Banks