Rate My Professor Amin Beheshti

Amin Beheshti is a Full Professor of Data Science in the School of Computing within the Faculty of Science and Engineering at Macquarie University, Sydney, Australia. He completed his PhD in Computer Science and Engineering at the University of New South Wales (UNSW Sydney) in 2013, following a postdoctoral fellowship there. Beheshti also holds a Master's degree and a Bachelor's degree in Computer Science, both with First Class Honours. Prior to pursuing his PhD in 2009, he accumulated over a decade of professional experience in industry as a founder and CEO, consultant, and Solution Architect for national and international organizations. In 2021, he was promoted from Senior Lecturer to Full Professor at Macquarie University due to his outstanding performance. He founded and directs the Centre for Applied Artificial Intelligence, heads the Data Science Lab, and established the Big Data Society. Additionally, he serves as Acting Director of Industry and External Relations in the School of Computing and is affiliated with several research centres including Data Horizons, Future Communications, FinTech and Banking, Pollinator Futures, and Applied AI Research Centre.

Professor Beheshti's research specializations encompass Data Science, Artificial Intelligence, Big Data Analytics, and Applied AI, with a vision to apply AI practically to real-world problems. He has secured over 70 research projects, amassing more than $50 million in funding. As a distinguished researcher, he has been invited as a keynote speaker, general chair, program committee chair, organization chair, and program committee member at top international conferences. He is a leading author of books including Social Data Analytics (2022) and editor of Artificial Intelligence and Data Science in Environmental Sensing (2022), alongside numerous peer-reviewed articles such as 'A comprehensive survey on customer churn analysis studies' (2026) and 'Design methodology for service-based data product sharing and trading' (2021). His contributions have earned prestigious accolades, including the Australian National AI Award for AI Academic/Researcher of the Year (2024 winner), finalist for AI Leader of the Year – Enterprise (2024 and 2025), finalist for AI Rising Star of the Year – Enterprise (2024), Macquarie University Excellence Awards (2022, 2023, 2025), and National Security Impact Awards from D2D CRC (2016, 2017). He has also served as a distinguished jury for the Aegis Graham Bell Award and on steering committees for workshops like the International Workshop on AI-enabled Policing and Law Enforcement.