Dr Alireza Jahani
Lecturer (Education)
Summary
Dr Alireza Jahani is a Lecturer (Academic Education) in the Department of Computer Science at Brunel University London. His academic work combines computer science education with research in computational modelling, agent-based simulation and artificial intelligence.
His research focuses on applying computational methods to complex real-world challenges, particularly forced migration, disaster-induced displacement and climate-related humanitarian crises. He has contributed to international research projects involving large-scale simulation, high-performance computing and uncertainty quantification.
Alongside his research, he is committed to delivering high-quality, research-informed computer science education, supporting student development and contributing to curriculum development and academic quality enhancement.
His broader interests include multi-agent systems, machine learning, computational social science and the application of advanced computing techniques to societal and environmental challenges.
Qualifications
He obtained his PhD in Computer Science from University Putra Malaysia (UPM) in 2014 and he received his Master of Science in e-Commerce from Iran University of Science and Technology in 2008.
Responsibility
Dr Alireza Jahani is a Lecturer (Academic Education) in the Department of Computer Science at Brunel University London. His academic work combines computer science education with research in computational modelling, agent-based simulation and artificial intelligence.
His research focuses on applying computational methods to complex real-world challenges, particularly forced migration, disaster-induced displacement and climate-related humanitarian crises. He has contributed to international research projects involving large-scale simulation, high-performance computing and uncertainty quantification.
Alongside his research, he is committed to delivering high-quality, research-informed computer science education, supporting student development and contributing to curriculum development and academic quality enhancement.
His broader interests include multi-agent systems, machine learning, computational social science and the application of advanced computing techniques to societal and environmental challenges.