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.
PhD in Business Analytics
- Nasirian, A.,Abbasi, B.,Cheng, T.,Arashpour, M. (2022). Multiskilled Workforce Planning: A Case from the Construction Industry In: Journal of Construction Engineering and Management, 148, 1 - 17
- Abbasnejad, B.,Aranda-Mena, G.,Nasirian, A.,Wong, P.,Ahankoob, A. (2022). Implementation of integrated BIM-VR into construction management curriculum: Lessons learned and development of a decision support system In: IOP Conference Series: Earth and Environmental Science, 1101, 1 - 11
- Shahparvari, S.,Nasirian, A.,Mohammadi, A.,Noori, S.,Chhetri, P. (2020). A GIS-LP integrated approach for the logistics hub location problem In: Computers & Industrial Engineering, 146, 1 - 17
- Abbasnejad, B.,Nepal, M.,Ahankoob, A.,Nasirian, A.,Drogemuller, R. (2020). (In Press) Building Information Modelling (BIM) adoption and implementation enablers in AEC firms: a systematic literature review In: Architectural Engineering and Design Management, , 411 - 433
- Nasirian, A.,Arashpour, M.,Abbasi, B.,Akbarnezhad, A. (2019). Optimal Work Assignment to Multiskilled Resources in Prefabricated Construction In: Journal of Construction Engineering and Management, 145, 1 - 11
- Nasirian, A.,Arashpour, M.,Abbasi, B.,Zavadskas, E.,Akbarnezhad, A. (2019). Skill Set Configuration in Prefabricated Construction: Hybrid Optimization and Multicriteria Decision-Making Approach In: Journal of Construction Engineering and Management, 145, 1 - 20
- Nasirian, A.,Arashpour, M.,Abbasi, B. (2018). Critical Literature Review of Labor Multiskilling in Construction In: Journal of Construction Engineering and Management, 145, 1 - 13
- Nasirian, A.,Arashpour, M.,Abbasi, B. (2018). Multiskilled human resource problem in off-site construction In: ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, Berlin, Germany, 20-25 July 2018