Araz Nasirian

Dr. Araz Nasirian is an academic specializing in artificial intelligence and business analytics, with a particular interest in machine learning and mathematical optimization. His work connects methodological research with practical applications to support better business decisions.

Dr. Nasirian has developed or delivered more than 20 business courses. He also designs engaging educational applications and games that help students understand and apply complex concepts in artificial intelligence and business analytics. His contributions to teaching have been recognized through university awards and a national teaching award nomination.

Research and Publications

Dr. Nasirian’s research applies artificial intelligence, mathematical optimization, and machine learning to decision-making challenges across supply chain management, construction, human resources, transportation, and education. His work focuses on improving resource allocation, operational efficiency, and decisions under uncertainty. His research has been published in leading international journals, including the European Journal of Operational Research and ACM Computing Surveys, contributing to scholarship across operations research and computing.

 

Research Funding and Industry Engagement

 

Dr. Nasirian has secured more than AUD 700,000 in research funding to support collaborative initiatives involving artificial intelligence and business analytics. Working with industry partners, he translates practical business challenges into research projects and develops AI-driven and data-driven decision-support tools. These collaborations connect academic research with operational data and industry expertise, supporting the development of practical solutions and industry-engaged doctoral research.

 

Awards and Recognition

 

• 2022 — RMIT Vice-Chancellor’s Teaching Citation: Recognition for contributions to university teaching.
• 2022 — Teaching Technology Award, School of Accounting, Information Systems and Supply Chain, RMIT University: Recognition for innovative use of technology in teaching.
• 2023 — Australian Awards for University Teaching (AAUT): Nominee.