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Amirghasemi, Mehrdad Dr.

Research Fellow

  • Research Fellow - SMART Infrastructure Facility, Faculty of Engineering and Information Sciences

Overview


Dr Amirghasemi is an early career researcher with a PhD in Computing and Information Technology. He holds a master’s degree, in Intelligent Systems Design, from Chalmers University of Technology, Gothenburg, Sweden. He obtained a GPA of 5 (out of 5) for his master studies and received a scholarship award to pursue his PhD studies in University of Wollongong. Despite holding a research-only role, he has over five years of extensive teaching experience as a subject coordinator and lecturer at UOW.

Top Publications


Research Overview


  • Dr Amirghasemi holds a PhD in Optimisation and Operations Research, and is currently a Research Fellow at the SMART Infrastructure Facility at the University of Wollongong. His main research area is the design and analysis of (parallel) evolutionary metaheuristics and their applications in multiple areas, such as network design (in transpiration and logistics), operations research (energy, scheduling, cloud computing etc), and data analytics. Despite being an early career researcher, his work on evolutionary metaheuristics has been published in highly reputed journals such as Evolutionary Computation (ERA-Ranked A+), Applied Intelligence (IF>5), Computers & Industrial Engineering and Annals of Operations Research.

    With regards to attracting nationally competitive industry and government research funding, he has managed to secure and/or extensively contribute to a total of 21 grants and commercial research projects, valued at over A$1.5M. To name just one of these high-impact research projects, ArkiCity, an award-winning, innovative city planning mobile application, has attracted several research grants and awards. In addition, he is an Associate Investigator on an ARC-SRI project entitled Securing Antarctica's Environmental Future (SAEF).

Available as Research Supervisor

Selected Publications


Impact Story


  • <strong>About MTR</strong><br /><br />The client organisation- MTR Corporation- is a Hong Kong-based 20K employee strong multinational organisation specialising in metro rail management and construction. MTR manages many metro systems around the world in including those in Hong Kong, Singapore, Melbourne, Dubai and Stockholm. About half the workforce is in the (Rail) Operations Division and within this division is the Learning Organisation unit who is our client for this $640,000 (Cat 3B0 contract research project (Leader Clarke, Co-Lead Perez). MTR are currently completing the world’s longest high speed underwater rail links between HK and mainland China. <br /><br /><strong>About the Project<br /><br /></strong>The research (and practice)<strong> </strong>problem is that MTR are trying to develop into a <strong>Learning Organisation (LO), </strong>after the work of Management researcher Peter Senge, that advocates an organisational culture of continual learning and innovation. Employing mixed methods design, and involving a team of researchers with a mix of specialisations (Business, Information Systems Analysts, Software Developers, Statisticians, Qualitative Researchers, Sentiment Analysis, Media Specialists, Chinese Language Experts and Text Mining). The opinion held by senior  management was that MTR was not fully compliant with the LO requirements, this opinion was confirmed by the research team in Phase 1. In subsequent Phases, the researchers were contracted to propose various solutions could be put in place to facilitate improvements. The project is now at Phase 3, the deliverables are finalised by end of Sept. The project team is continuing to research the effects of our interventions and systems.<br /><br /><br />
  • Engagement with media and working with industry
  • The development of a decision support tool for economics will be presented at <a href="https://www.eiasm.org/frontoffice/event_announcement.asp?event_id=1492%20" target="_blank" rel="noopener">Innovation and Product Development Management (IPDMC) Conference 2021</a>

Available as Research Supervisor

Top Publications


Research Overview


  • Dr Amirghasemi holds a PhD in Optimisation and Operations Research, and is currently a Research Fellow at the SMART Infrastructure Facility at the University of Wollongong. His main research area is the design and analysis of (parallel) evolutionary metaheuristics and their applications in multiple areas, such as network design (in transpiration and logistics), operations research (energy, scheduling, cloud computing etc), and data analytics. Despite being an early career researcher, his work on evolutionary metaheuristics has been published in highly reputed journals such as Evolutionary Computation (ERA-Ranked A+), Applied Intelligence (IF>5), Computers & Industrial Engineering and Annals of Operations Research.

    With regards to attracting nationally competitive industry and government research funding, he has managed to secure and/or extensively contribute to a total of 21 grants and commercial research projects, valued at over A$1.5M. To name just one of these high-impact research projects, ArkiCity, an award-winning, innovative city planning mobile application, has attracted several research grants and awards. In addition, he is an Associate Investigator on an ARC-SRI project entitled Securing Antarctica's Environmental Future (SAEF).

Selected Publications


Impact Story


  • <strong>About MTR</strong><br /><br />The client organisation- MTR Corporation- is a Hong Kong-based 20K employee strong multinational organisation specialising in metro rail management and construction. MTR manages many metro systems around the world in including those in Hong Kong, Singapore, Melbourne, Dubai and Stockholm. About half the workforce is in the (Rail) Operations Division and within this division is the Learning Organisation unit who is our client for this $640,000 (Cat 3B0 contract research project (Leader Clarke, Co-Lead Perez). MTR are currently completing the world’s longest high speed underwater rail links between HK and mainland China. <br /><br /><strong>About the Project<br /><br /></strong>The research (and practice)<strong> </strong>problem is that MTR are trying to develop into a <strong>Learning Organisation (LO), </strong>after the work of Management researcher Peter Senge, that advocates an organisational culture of continual learning and innovation. Employing mixed methods design, and involving a team of researchers with a mix of specialisations (Business, Information Systems Analysts, Software Developers, Statisticians, Qualitative Researchers, Sentiment Analysis, Media Specialists, Chinese Language Experts and Text Mining). The opinion held by senior  management was that MTR was not fully compliant with the LO requirements, this opinion was confirmed by the research team in Phase 1. In subsequent Phases, the researchers were contracted to propose various solutions could be put in place to facilitate improvements. The project is now at Phase 3, the deliverables are finalised by end of Sept. The project team is continuing to research the effects of our interventions and systems.<br /><br /><br />
  • Engagement with media and working with industry
  • The development of a decision support tool for economics will be presented at <a href="https://www.eiasm.org/frontoffice/event_announcement.asp?event_id=1492%20" target="_blank" rel="noopener">Innovation and Product Development Management (IPDMC) Conference 2021</a>
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