Ali Forouzesh headshot

Ali Akbar Forouzesh Nejad

Lecturer in Information Systems and Computer Science

ºÚÁÏ³Ô¹Ï London Campus

Ali.Forouzesh@port.ac.uk

Summary

Ali Forouzesh is a seasoned academic renowned for designing and delivering state-of-the-art Agile project management and IT courses and workshops. With extensive practical experience in the IT and telecom industries, he skillfully integrates real-world knowledge into his teaching. His innovative application of artificial intelligence to enhance learning outcomes highlights his unique ability to merge hands-on project management expertise with advanced academic methodologies, making a significant impact in both professional and academic arenas

Biography

Before transitioning into academia, I 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, I contributed to the success of major projects and gained invaluable industry knowledge, which now enriches my academic career. I had the opportunity to work with leading companies such as Ericsson, Nokia, and MTN, where I not only contributed to key initiatives but also delivered professional development courses and served as a consultant and instructor for various organizations.

I hold both a Bachelor's and Master's degree in Information Technology and am currently pursuing a PhD in Artificial Intelligence at the ºÚÁϳԹÏ.

With over five years of teaching experience, I have actively contributed to academia through published research and thought leadership in my field. I take pride in blending practical industry experience with 

academic theory, ensuring that my 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 my work. I believe that 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

Teaching responsibilities

  • Web Product Development and Management 
  • Architecture and Operating Systems
  • Database Management System
  • Core Computing Concepts