Dr. Araz Nasirian
Lecturer
Details
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College: School of Accounting Information Systems & Supply Chain
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Department: Accounting, Info Sys & Supply Chain
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Campus: City Campus Australia
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araz.nasirian@rmit.edu.au
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ORCID:
0000-0001-8680-6133
Open to
- Masters Research or PhD student supervision
About
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.
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
