Summary

Ali Forouzesh is an academic known for designing and delivering Agile project management and IT courses and workshops. With practical experience in the IT and telecom industries, he integrates real-world knowledge into his teaching.

His application of artificial intelligence to enhance learning outcomes demonstrates his ability to combine Agile project management expertise with academic methodologies, contributing to both professional and academic environments. 

Biography

Before transitioning into academia, Ali spent over 15 years in the IT and Telecom industries, holding a variety of roles, including Product Manager, Agile Project Manager, and Systems Analyst and Designer. During this time, he contributed to the success of major projects and gained invaluable industry knowledge, which now enriches his academic career. He had the opportunity to work with leading companies such as Ericsson, Nokia, and MTN, where he not only contributed to key initiatives but also delivered professional development courses and served as a consultant and instructor for various organizations. 

With over five years of teaching experience, he has actively contributed to academia through published research and thought leadership in his field. He takes pride in blending practical industry experience with academic theory, ensuring that his students gain a deep understanding of real-world applications in IT and Agile project management. 

Maintaining a strong connection between hands-on experience and academic rigor is a core principle in his work. This integration offers immense value to both students and professionals, helping them bridge the gap between theory and practice for more impactful learning and growth 

Research interests

• Explainable Artificial Intelligence and Machine learning  

• Agile Project Management 

• Digital transformation 

• Deep Reinforcement Learning 

Publications

Leagile and sustainable supplier selection problem in the Industry 4.0 era: a case study of the medical devices using hybrid multi-criteria decision making tool 

A hybrid data-driven model for project portfolio selection problem based on sustainability and strategic dimensions: a case study of the telecommunication industry 

Agile Project Status Prediction Using Interpretable Machine Learning 

Optimizing Project Time and Cost Prediction Using a Hybrid XGBoost and Simulated Annealing Algorith

Teaching responsibilities

• Web Product Development and Management  

• Architecture and Operating Systems 

• Database Management System 

• Core Computing Concepts