Researcher

My Expertise

Network Science, Informatics (incl. Data Science & Artificial Intelligence), Informetrics & Scientometrics;

Decision Support Systems, Decision Analytics, and Data Analytics;

Project, Program and Portfolio Management;

Keywords

Fields of Research (FoR)

Decision support and group support systems, Planning and decision making, Informetrics, Project management, Production and operations management, Business Information Systems, Operations Research, Building Construction Management and Project Planning, Natural Hazards, Applied Mathematics

Biography

Dr Alireza Abbasi joined UNSW Canberra in 2012 as an academic staff and is now with the School of Systems & Computing.

 

Alireza’s research focuses on devising intelligent data-driven decision support methods to mitigate uncertainties in real-word socio-technical systems by utilising machine learning and AI methods and technologies.  The developed tools and methods facilitate development of resilient and sustainable systems in various...view more

Dr Alireza Abbasi joined UNSW Canberra in 2012 as an academic staff and is now with the School of Systems & Computing.

 

Alireza’s research focuses on devising intelligent data-driven decision support methods to mitigate uncertainties in real-word socio-technical systems by utilising machine learning and AI methods and technologies.  The developed tools and methods facilitate development of resilient and sustainable systems in various domains such as public health, transportation energy, construction and manufacturing to name a few.

Alireza has been publishing in high ranked journals, and he has been recognised in Stanford/Elsevier top 2% scientists since its release in 2020.

Dr Abbasi has supervised more than 13 PhDs and Masters by research students to completion, mentored couple of post doctoral candidates, and served several leadership roles including the coordinator of project management programs between 2013 ans 2023 and director of postgraduate studies for more than two years.  

Education:

  • PhD: Faculty of Engineering and IT, the University of Sydney, 2012.
  • MSc: Department of Industrial Engineering, Seoul National University, 2008.
  • BSc: Department of Computer Engineering, Isfahan University of Technology, 2002.
  • Graduate Certificate in University Learning and Teaching, UNSW, 2017.

Teaching:

  • Systems Analysis & Design
  • Engineering Management
  • Software Project Management
  • Project Schedule and Budget Control
  • Modelling Project Risks
  • Computer Applications in Project Management
  • Social Network Analysis

Professional Membership:

  • Association for Computing Machinery (ACM)
  • Australian Institute of Project Management (AIPM)
  • Project Management Institute (PMI)
  • Australian and New Zealand Academy of Management (ANZAM)
  • IEEE


My Research Supervision


Supervision keywords


Areas of supervision

Research Topics:

Applying advanced AI (e.g., LLM-based methods) or Blockchain or Quantum computing to enhance public health, transportation, energy, disaster management, project management, etc. Examples could be:

  • Detecting and predicting events (e.g., innovation, crisis, riots) by exploiting the potentials of AI and natural language processing techniques (in particular LLMs) to optimise the influence of entities in social-technical system.
  • Enhancing better functioning and performance of complex socio-technical systems through designing and developing intelligent decision support systems to consider uncertainties and disruptions to develop effective and resilient (robust & sustainable) systems.

 

Scholarship and Admission Criteria & Process:

Several types of scholarships are available at UNSW, and all will be considered automatically when a candidates apply for admission. However, admission and scholarship applications are highly competitive. If you are eligible (GPA of 85% or more and have research experience) and interested in working on the listed or closely related topics or keywords, please send me your CV, academic transcripts , and a research proposal: highlight research Motivation, Problems, Objectives and Questions, a brief Literature Review, proposed Solution & Methodology, Impact and Expected Outcome.

For more information, please refer to the following links on 'How to Apply'  that includes 'Application Deadlines'.   You need to meet the English language requirements.

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Location

Room 362, Building 21,
School of Systems & Computing (SysCom)

Contact

+61 2 5114 5108