معرفی
Dr. Avi H. Giloni serves as Associate Dean, Chair of the Information and Decision Sciences Department, and Associate Professor of Operations Management and Statistics at Yeshiva University's Sy Syms School of Business. He holds a PhD in Statistics and Operations Research from New York University's Stern School of Business (2000), along with prior degrees from NYU. His research focuses on robust forecasting, optimization, stochastic systems, and their applications to supply chain management. He teaches courses emphasizing randomness modeling and risk analysis in Operations Management and Statistics.
His work bridges theoretical advancements in robust statistical methods (e.g., LAD regression) with practical challenges in supply chain coordination, inventory management, and demand forecasting. Notable contributions include analyzing ARMA demand models, information sharing mechanisms, and inventory policy optimization. He has published extensively on topics like cluster analysis for aggregated demand forecasting and the impact of exponential smoothing techniques.
Dr. Giloni's recent research trends highlight advancements in supply chain transparency through information sharing, minimizing forecasting errors via clustering methodologies, and evaluating robust statistical techniques under varying conditions. His articles often address the interplay between operational decisions and systemic risks in dynamic environments.
He advises on graduate studies as the school's area coordinator for Information and Decision Sciences, fostering academic-industry collaboration through Yeshiva University's multi-campus presence (Wilf and Beren). His offices are located at both campuses, reflecting his active role in campus administration and pedagogy.
