Dr Araz Nasirian is an academic in the area of business analytics with a passion for machine learning and optimisation.
Dr. Araz is an accomplished educator and researcher specializing in the field of business analytics. He has meticulously crafted and delivered a diverse range of courses in this domain, catering to both online and in-person students at both undergraduate and postgraduate levels. Notably, Dr. Araz is recognized as a proficient developer of educational applications and games. This was substantiated by his noteworthy achievements, including the prestigious RMIT VC Teaching Citation award and the School of AISSC Teaching Technology award, both granted upon him in 2022.
In his research endeavors, Dr. Araz delves into the application of mathematical modeling and machine learning techniques across a myriad of industries such as construction, human resources, transportation, and education. His current research avenues encompass:
Developing decision support systems for analysing corporate data
Employing optimisation algorithms to obtain optimal professional development strategies within firms, identifying the appropriate individuals for targeted skill training at various proficiency levels.
Applying optimization methodologies to optimise the scheduling of flexible resources.
Crafting sophisticated mathematical models and innovative machine learning algorithms to gauge the adoption of technology, extracting actionable insights for enhancing business practices.
One of Dr. Araz's prominent principles is the translation of research into practical solutions. He has actively designed user-friendly interfaces that facilitate the communication of intricate scientific concepts to individuals devoid of technical expertise, aligning with his commitment to making knowledge accessible to a broader audience.
Supervisor projects
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
Research interests
Business and Management, Applied Mathematics, Information Systems, Transportation and Freight Services, Civil Engineering, Building
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.