Ali Hassanzadeh

Ali joined the Alliance Manchester Business School as a lecturer in management science in September 2021, after completing his PhD in operations and decision technologies at the Paul Merage School of Business, University of California Irvine. He holds an MSc from KOC University, Istanbul (2015) and a BSc from Sharif University of Technology, Tehran (2013), both in industrial engineering. He has worked briefly at Bayer Crop Science, Saint Louis, Missouri, as a data science intern in 2019.

Ali’s research has mostly centered around developing mathematical models to help high-level decision makers to improve operations in their organizations. Theory-wise, he primarily has worked with combinatorial optimization models, distributed optimization, algorithm design, and machine learning techniques. Application-wise, he has been involved in projects in sports analytics and resource sharing and resource exchange in multi-agent systems (e.g., alliance of production and service companies). He has extensive teaching experience in the business school for various programmes, including MBA, Master of Business Analytics, and undergraduate, and different courses including predictive analytics, analytical decision making, management science, operations management, and statistics. Ali was a fellow of the Division of Teaching Excellence and Innovation (DTEI) at UC Irvine in 2020 and holds a certificate in “Remote Instruction” from that division.

Keywords

• Sports analytics, Predictive analytics, Prescriptive analytics, Resource exchange, Graph algorithms

Education / academic qualifications

• 2021 - Doctor of Philosophy, New operations research models for emerging problems in service operations, The Paul Merage School of Business (2015 - 2021)
• 2015 - Master of Science, Two optimization-based algorithms for the graph partitioning problem, Koc University (2013 - 2015)
• 2013 - Sharif University of Technology (2008 - 2013)