Ali Tosyali Headshot

Ali Tosyali

Assistant Professor

Department of MIS, Marketing, and Analytics
Saunders College of Business
atosyali@saunders.rit.edu
585-475-7051
Office Location
LOW-3342

Ali Tosyali

Assistant Professor

Department of MIS, Marketing, and Analytics
Saunders College of Business

Bio

Ali Tosyali is an Assistant Professor of Management Information Systems in RIT’s Saunders College of Business. His research interests lie at the intersection of network science, machine learning, and information systems, with applications in financial services analytics, social network analysis, healthcare analytics, digital platforms, and business analytics. His research has been published in the Proceedings of the National Academy of Sciences (PNAS), Journal of Management Information Systems (JMIS), IEEE Transactions on Engineering Management, and International Journal of Production Research, among other journals.

atosyali@saunders.rit.edu
585-475-7051

Select Scholarship

See my Google Scholar for all publications.

Tutun, S., Topuz, K., Tosyali, A., Bhattacherjee, A., & Li, G. (2024). Explainable artificial intelligence for mental disorder screening: A computational design science approach. Journal of Management Information Systems, 41(4), 958-981.

Xie, Y., Wang, T., Jeong, Y. S., Tosyali, A., & Jeong, M. K. (2024). True sparse PCA for reducing the number of essential sensors in virtual metrology. International Journal of Production Research, 62(6), 2142-2157.

He, S., Hollenbeck, B., Overgoor, G., Proserpio, D., & Tosyali, A. (2022). Detecting fake-review buyers using network structure: Direct evidence from Amazon. Proceedings of the National Academy of Sciences, 119(47), e2211932119.

Tosyali, A., Kim, J., Choi, J., Kang, Y., & Jeong, M. K. (2020). New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation networks. Annals of Operations Research, 288(1), 457-474.

Choi, J., Tosyali, A., Kim, B., Lee, H. S., & Jeong, M. K. (2019). A novel method for identifying competitors using a financial transaction network. IEEE Transactions on Engineering Management, 69(4), 845-860.

Tosyali, A., Kim, J., Choi, J., & Jeong, M. K. (2019). Regularized asymmetric nonnegative matrix factorization for clustering in directed networks. Pattern Recognition Letters, 125, 750-757.

Rodriguez, A., Tosyali, A., Kim, B., Choi, J., Lee, J. M., Coh, B. Y., & Jeong, M. K. (2016). Patent clustering and outlier ranking methodologies for attributed patent citation networks for technology opportunity discovery. IEEE Transactions on Engineering Management, 63(4), 426-437.

 

Currently Teaching

MGIS-355
Business Intelligence
3 Credits
The course is intended to provide an integrative foundation in the field of business intelligence at both the operational and strategic levels. Students will experience a variety of contemporary tools to analyze complex business data and arrive at a rational solution. Topic such as data warehousing, visualization and data mining will be covered, along with other topics relevant to the field of business intelligence. The computer will be used extensively throughout the course.
MGIS-489
Seminar in MIS
3 Credits
Advanced study of MIS topics reflecting contemporary issues and/or current technological advancements impacting the development, implementation and management of information systems in organizations. Seminar topics have ranged from new technological developments to management security issues in MIS systems. Topics for a specific semester will be announced prior to the course offering.
MGIS-650
Introduction to Data Analytics and Business Intelligence
3 Credits
This course serves as an introduction to data analysis including both descriptive and inferential statistical techniques. Contemporary data analytics and business intelligence tools will be explored through realistic problem assignments.

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