Ali Tosyali, PhD

Research

I am an assistant professor of management information systems at Rochester Institute of Technology. My research lies at the intersection of network science and machine learning, applied to problems in digital platforms, healthcare, and cybersecurity. I received my PhD in Industrial & Systems Engineering from Rutgers University.

Publications

Journal Articles

• Detecting fake-review buyers using network structure: Direct evidence from Amazon
  He, S., Hollenbeck, B., Overgoor, G., Proserpio, D., & Tosyali, A. · Proceedings of the National Academy of Sciences (PNAS), 119(47) (2022)
  PNAS · IF 9.1

  Media coverage: Forbes, The Wall Street Journal, WIRED, UCLA Anderson Review

• Explainable artificial intelligence for mental disorder screening: A computational design science approach
  Tutun, S., Topuz, K., Tosyali, A., Bhattacherjee, A., & Li, G. · Journal of Management Information Systems, 41(4), 958–981 (2024)
  JMIS · FT50 · IF 6.2

  Earlier version won first prize, 2023 IISE Innovation Cup Competition

• True sparse PCA for reducing the number of essential sensors in virtual metrology
  Xie, Y., Wang, T., Jeong, Y. S., Tosyali, A., & Jeong, M. K. · International Journal of Production Research, 62(6), 2142–2157 (2024)
  IJPR · IF 7.3
• A novel similarity-based link prediction approach for transaction networks
  Yu, Y., Tosyali, A., Baek, J., & Jeong, M. K. · IEEE Transactions on Engineering Management, 71, 981–992 (2024)
  IEEE TEM · IF 5.2
• Robust asymmetric non-negative matrix factorization for clustering nodes in directed networks
  Yu, Y., Baek, J., Tosyali, A., & Jeong, M. K. · Annals of Operations Research, 341(1), 245–265 (2024)
  AOR · IF 4.5
• A node-based index for clustering validation of graph data
  Tosyali, A., & Tavakkol, B. · Annals of Operations Research, 341(1), 197–221 (2024)
  AOR · IF 4.5
• Artificial intelligence in energy industry: forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system
  Tutun, S., Tosyali, A., Sangrody, H., Khasawneh, M., et al. · Journal of Business Analytics, 6(1), 59–76 (2023)
  IF 1.6
• A dynamic graph-based approach to ranking firms for identifying key players using inter-firm transactions
  Tosyali, A., Choi, J., Kim, B., Lee, H., & Jeong, M. K. · Annals of Operations Research, 303(1), 5–27 (2021)
  AOR · IF 4.5
• Data-driven gantry health monitoring and process status identification based on texture extraction
  Tosyali, A., Song, R., Guo, W., Abolhassani, A., & Kalamdani, R. · Journal of Computing and Information Science in Engineering, 21(1), 011003 (2021)
  JCISE · IF 3.3
• New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation networks
  Tosyali, A., Kim, J., Choi, J., Kang, Y., & Jeong, M. K. · Annals of Operations Research, 288(1), 457–474 (2020)
  AOR · IF 4.5
• A novel method for identifying competitors using a financial transaction network
  Choi, J., Tosyali, A., Kim, B., Lee, H. S., & Jeong, M. K. · IEEE Transactions on Engineering Management, 69(4), 845–860 (2019)
  IEEE TEM · IF 5.2
• Regularized asymmetric nonnegative matrix factorization for clustering in directed networks
  Tosyali, A., Kim, J., Choi, J., & Jeong, M. K. · Pattern Recognition Letters, 125, 750–757 (2019)
  IF 3.3
• Patent clustering and outlier ranking methodologies for attributed patent citation networks for technology opportunity discovery
  Rodriguez, A., Tosyali, A., Kim, B., Choi, J., et al. · IEEE Transactions on Engineering Management, 63(4), 426–437 (2016)
  IEEE TEM · IF 5.2

Under Review & Working Papers

• Beyond the Boilerplate: An Analysis of Firm Cybersecurity Disclosure Behavior and the Impact of Prior Data Breaches
  with Biju Varghese, Kyunghoon Ban, & Sean Hansen
  R&R · JAIS
• PRISM: A Self-Learning Agentic AI Framework for Intent-Aware Harm Detection and Threat Mapping
  with Biju Varghese, Anol Bhattacherjee, Kazim Topuz, & Salih Tutun
  Target: Information Systems Research
• The Importance of Networks for Career Success: Evidence from the Real Estate Industry
  with Soon Hyeok Choi & Patrick Smith
  Target: American Economic Review
• Addressing Large-scale Reviewer Recruitment on Amazon: A Reviewer-centric Approach to the Fake Review Problem
  with Ethan Feldman & Gijs Overgoor
  Target: Information Systems Research
• Adaptive Screening Under Constraints: A Multi-Agent Reinforcement Learning Framework for Efficient Diagnostic Question Selection
  with Salih Tutun, Simon Cho, Anol Bhattacherjee, & Kazim Topuz
  Target: INFORMS Journal on Computing

Grants & Honors

Teaching

Rochester Institute of Technology

• MGIS650 Introduction to Data Analytics and Business Intelligence
• MGIS489 Seminar in MIS — Artificial Intelligence for Business
• MGIS355 Business Intelligence
• BANA255 Data Literacy & Analytics

University of Delaware

• MISY262 Fundamentals of Business Analytics
• MISY367 Social Network Analysis
• MISY225 Introduction to Programming Business Applications