Ali Tosyali
Assistant Professor
Ali Tosyali
Assistant Professor
Bio
Ali Tosyali is an assistant professor of management information systems at the Rochester Institute of Technology. His research interests lie broadly at the intersection of network science, machine learning, and information systems, driven by applications in financial services analytics, social network analysis, healthcare analytics, digital platforms, and business analytics.
Select Scholarship
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)
Tutun, S., Tosyali, A., Sangrody, H., Khasawneh, M., Johnson, M., Albizri, A., & Harfouche, A. (2022). Artificial intelligence in energy industry: forecasting electricity consumption through cohort intelligence adaptive neural fuzzy inference system. Journal of Business Analytics, 1-18.
Yu, Y., Tosyali, A., Baek, J., & Jeong, M. K. (2022). A Novel Similarity-Based Link Prediction Approach for Transaction Networks. IEEE Transactions on Engineering Management.
Tosyali, A., & Tavakkol, B. (2021). A node-based index for clustering validation of graph data. Annals of Operations Research, 1-25.
Tosyali, A., Choi, J., Kim, B., Lee, H., & Jeong, M. K. (2021). A dynamic graph-based approach to ranking firms for identifying key players using inter-firm transactions. Annals of Operations Research, 303(1), 5-27.
Tosyali, A., Song, R., Guo, W. G., Abolhassani, A., & Kalamdani, R. (2021). Data-Driven Gantry Health Monitoring and Process Status Identification Based on Texture Extraction. Journal of Computing and Information Science in Engineering, 21(1).
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. (2022). 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
In the News
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June 2, 2023
2022-23 Saunders Faculty and Staff Go Above and Beyond
Saunders College of Business recognizes the accomplishments of its outstanding employees throughout the 2022-23 academic year.
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January 9, 2023
RIT, UCLA professors investigate whether all Amazon product reviews are real
Spectrum News talks to Ali Tosyali and Gijs Overgoor, assistant professors in the Department of MIS, Marketing, and Analytics, about their research into fake product reviews on Amazon.
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December 5, 2022
Fake reviews make it hard to buy online. RIT professors are trying to fix that
WXXI talks to Ali Tosyali and Gijs Overgoor, assistant professors in the Department of MIS, Marketing, and Analytics, about their research into fake product reviews on Amazon.
Featured Work
Research Insights: How do you spot a fake Amazon review?
Ali Tosyali, Gijs Overgoor
New research by Saunders professors offers a way.