PhD in Management Sciences and Research Master from ESADE - Universitat Ramon Llull, Master in Industrial Engineering, and bachelor degrees in Mechanical Engineering and Industrial Engineering from the Sharif University of Tehran, Iran. He is professor of the Master of Science in Management at UPF Barcelona School of Management.
He has been an associate professor at Universitat Pompeu Fabra since 2017. His research areas are quantitative methods, marketing analytics, and decision sciences.
- Business & Management Strategy
- Doctor, Social and Legal Sciences, Business Administration and Management
- Master Universitario, Social and Legal Sciences, Business Administration and Management
- Master Of Science, Engineering and Architecture, Creativity and Technology
- Engineer, Engineering and Architecture, Creativity and Technology
- Engineer, Engineering and Architecture, Creativity and Technology
Professor
- Master of Science in Management specialization in Operations and Supply Chain Management
- Faculty - UPF Barcelona School of Management
- Faculty - ESADE
- Faculty - Sharif University of Technology
Actividad Investigadora y transferencia
- GHADERI, M. (2022). Coopetition for innovation - the more, the better? An empirical study based on preference disaggregation analysis. European Journal of Operational Research.
- GHADERI, M. (2021). Public health interventions in the face of pandemics: Network structure, social distancing, and heterogeneity. European Journal of Operational Research.
- GHADERI, M. (2021). Incorporating uncovered structural patterns in value functions construction. Omega.
- GHADERI, M. (2020). Contingent preference disaggregation model for multiple criteria sorting problem. European Journal of Operational Research.
- GHADERI, M. (2021). Preference disaggregation: a probabilistic view. European Conference on Operational Research.
- GHADERI, M. (2019). Incorporating group-level uncovered structural patterns in estimation of individual-level preferences. European Marketing Academy.
- GHADERI, M. (2018). Better Together: Improved Predictive Accuracy of Preference disaggregation by Discovering Structural Similarities in Preference Models. 89th. Meeting of EURO Working Group on Multiple Criteria Decision Aiding.