Rate My Professor Pooyan Asgari

Pooyan Asgari earned his Bachelor of Engineering in Computer Software Engineering from Tehran Azad University between 2000 and 2005. He then pursued a Master of Engineering in Information Technology at Macquarie University from 2006 to 2008, graduating with a perfect GPA of 4.0 and receiving the Vice-Chancellor's Award for Excellence in Academic Achievements. Subsequently, he completed a Doctor of Philosophy in Statistical Natural Language Processing and Machine Learning at the University of Sydney from 2008 to 2012, funded by an Australia Postgraduate Award scholarship recognizing exceptional research potential. During this period and shortly after, Asgari served as a Computer Science Lecturer and Tutor from 2008 to 2013. His academic foundation has supported a distinguished career in data science and artificial intelligence. Currently, Pooyan Asgari holds the position of Chief Data Officer at Domain Group, where he oversees data management, analytics, business intelligence, and AI initiatives across the organization. With over 20 years of professional experience, his previous roles include Head of Data Products and Insights at Domain Group (formerly Fairfax Media) from 2015 to 2017, Head of Analytical Products at Health Language Analytics Group from 2010 to 2015, Analytical Specialist and Data Engineer at Card Access Services from 2007 to 2008, and Data Team Lead and Analytical Software Designer at Stanco Import / PAP Co. from 2001 to 2005.

Asgari's research contributions focus on machine learning, natural language processing, advanced analytics, and AI applications in real-world scenarios. He has co-authored recent publications such as 'Next-generation price recommendation with LLM-augmented graph transformers' (2025), developed in collaboration with researchers from Macquarie University's School of Computing, and 'A competitive-cooperative approach to dynamic pricing for two-sided platforms' (2025). Earlier works include contributions to clinical informatics, notably 'Improving accuracy of identifying clinical concepts in noisy clinical notes' around 2010 with colleagues at the University of Sydney. In 2023, the United States Patent and Trademark Office issued him a patent for 'Frameworks and methodologies for enabling searching and/or categorisation of digitised information.' Asgari has delivered an invited industry talk at Macquarie University's School of Computing and participates in ongoing collaborations with the Centre for Applied Artificial Intelligence there. He has also contributed to industry-academia panels alongside professors from Macquarie University's Department of Computing. His work bridges academic research and practical industry applications, particularly in AI-driven data processing and recommendation systems.