Araz Nasirian

Dr. Araz Nasirian

Lecturer
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Details

  • College: School of Accounting Information Systems & Supply Chain
  • Department: Accounting, Info Sys & Supply Chain
  • Campus: City Campus Australia
  • araz.nasirian@rmit.edu.au

Open to

  • Masters Research or PhD student supervision

About

Dr. Araz Nasirian is an academic specializing in artificial intelligence and business analytics, with a particular passion for machine learning and optimization.

 

Dr. Nasirian developed or delivered over 20 different business course. Dr. Nasirian is also recognized for his expertise in developing engaging educational applications and games, earning him several awards and fellowships for his innovative teaching in artificial intelligence and business analytics.

 

Dr. Nasirian's research focuses on applying artificial intelligence, mathematical optimization, and machine learning techniques to diverse industries, including supply chain, construction, human resources, transportation, and education.

 

His research is published in leading journals within the sector, such as the European Journal of Operational Research. Actively collaborating with industry partners, he develops AI-driven and data-driven solutions. He has secured over half a million dollars in funding for these initiatives.

Supervisor projects

  • AI-driven Workforce Roster
  • 5 Feb 2025
  • Developing Digital Capability in the aged care sector
  • 20 Jan 2025
  • Impact of Sustainable Project Management practices on Software Project Success
  • 1 May 2024
  • Adversarial deep learning algorithms applied to outlier detection in dynamic networks
  • 8 Feb 2024

Teaching interests

Teaching courses:

  • Enterprise AI and Business Analytics (ISYS3468)
  • Business Analytics (ISYS3374)
  • Introduction to Business Analytics (ISYS3446)

 

Teaching awards:

  • RMIT Vice Chanceller award 2022
  • School of AISSC teaching with technology award

 

Teaching Fellowships:

  • Advanced HE Fellow

Research interests

  • Large Language Models (LLMs)
  • Generative artificial intelligence (GenAI)
  • Mathematical optimisation
  • Scheduling and rostering
  • Machine learning
  • HR analytics
  • Construction analytics 
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

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