Raha Imanirad

Raha Imanirad is an Assistant Professor of Operations Management and Information Systems at the Schulich School of Business, York University. Her research focuses on advanced analytics for socio-economic systems, combining operations research methods with fuzzy logic and machine learning. She specializes in developing novel DEA (Data Envelopment Analysis) models for efficiency evaluation in complex systems, particularly addressing challenges like negative data, undesirable outputs, and uncertainty.

Her work integrates interdisciplinary approaches to solve real-world problems, including airline operational efficiency assessment and human development index modeling. She has collaborated with scholars like Hashem Omrani and Zijiang Yang on impactful studies published in journals like Socio-Economic Planning Sciences and Annals of Operations Research.

Raha's methodologies incorporate Z-number theory, artificial neural networks, and fuzzy clustering to handle uncertain data and provide actionable insights. Her research bridges theoretical advancements in operations management with practical applications in socio-economic policy analysis and transportation systems optimization.