Shaya Sheikh

Shaya Sheikh

Title: Associate Professor

Department: Quantitative and Business Analytics

Campus: New York City

Area(s) of Expertise: Data-Driven Models, Meta-learner interpretability and AI model transparency, AI-Integration in Business

Education Credentials: Ph.D.

Joined New York Tech: 2015


Shaya Sheikh obtained his Ph.D. from Case Western Reserve University in 2013. He worked as a scheduling and optimization scientist at Lancaster Laboratories and as a visiting professor at the University of Baltimore before joining New York Institute of Technology in 2015. Currently, he serves as a professor of business analytics and the associate dean of graduate programs at the School of Management. His research interests include the integration of AI in business and the application of state-of-the-art data-driven models to address various business challenges. Shaya has authored more than 40 research papers in highly ranked peer-reviewed journals and conference proceedings such as Decision Support Systems, Energy, International Journal of Production Research, Applied Mathematical Modeling, Computers & Industrial Engineering, Journal of Intelligent Manufacturing, International Journal of Advanced Manufacturing Technology, Operations Research Perspective, Journal of Wireless Networks, and IEEE international conferences. In addition, he serves as an editorial board member for journals covering management and business analytics.

Recent Projects and Research

Selected Publications and Presentations

Journal Publications
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Honors and Awards

Courses Taught at New York Tech

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