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.
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).
MTR Project, Hong Kong (SMART Infrastructure Facility and the Collaboration Laboratory- Co-Lab)
<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 />
There are four major impacts associated with this project. <br /><br /><strong>Methodology for determining Organisational Compliance with LO</strong>: The first involves the difficult of being able to measure the degree of compliance of an organisation to Learning Organisation (LO) principles. This aspect was solved operationally for this project by developing a mixed method design using inductive qualitative analysis (thematic analysis) that was then cross references to the various main perspectives (3) and core capabilities (5) of the LO. To determine the impact of the MTR project interventions, the same approach as used in determining the compliance of MTR to LO is applied (a before and after snapshot). The expectation is that if the innovation system being developing improves one of the main perspectives (for example LO's 'Generative Conversation') then this will show up in the existence of discussions about improving communication and collaboration.<br /><br /><strong>System Approaches to support Enterprise Crowdsourcing of Innovation</strong>: We have already received expressions of interest from local companies (Christopher Savage from iTree) who are eager to see if there are commercial opportunities for systems like the one we have developed. This technology can be adapted to a range of different companies with a variety of moderation and meta-moderation techniques. there are potentially a range commercialisation opportunities. <br /><br /><strong>Retheorising LO</strong>: Both the literature that describes LO and that which provides details about determining the value, significance or achievement of the an organisation with respect to LO main perspectives and core capabilities appears to be untheorised. <br /><br /><strong>Understanding Internal and External Crowdsourcing, Crowdfunding and Open Innovation</strong>: the principle upon which this system is based is referred to as <em>semantic emergence</em>. This describes the process by which an evaluation of an innovation or idea emerges from the interactions of innovators, reviewers and judges of innovations. This approach can be used to provide a unified approach to internal (enterprise) and external (customer-focused) crowdsourcing, as well as crowdfunding and open innovation.
Beneficiary
Quantification
Description
Evidence
Description
3D printed fins for surfboards: finding the right flow
Our work on 3D printed resulted in a lot of media exposure for research at the University of Wollongong
Beneficiary
Quantification
Description
Evidence
Description
QPLAN.ECO at 28th IPDMC
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>
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).
MTR Project, Hong Kong (SMART Infrastructure Facility and the Collaboration Laboratory- Co-Lab)
<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 />
There are four major impacts associated with this project. <br /><br /><strong>Methodology for determining Organisational Compliance with LO</strong>: The first involves the difficult of being able to measure the degree of compliance of an organisation to Learning Organisation (LO) principles. This aspect was solved operationally for this project by developing a mixed method design using inductive qualitative analysis (thematic analysis) that was then cross references to the various main perspectives (3) and core capabilities (5) of the LO. To determine the impact of the MTR project interventions, the same approach as used in determining the compliance of MTR to LO is applied (a before and after snapshot). The expectation is that if the innovation system being developing improves one of the main perspectives (for example LO's 'Generative Conversation') then this will show up in the existence of discussions about improving communication and collaboration.<br /><br /><strong>System Approaches to support Enterprise Crowdsourcing of Innovation</strong>: We have already received expressions of interest from local companies (Christopher Savage from iTree) who are eager to see if there are commercial opportunities for systems like the one we have developed. This technology can be adapted to a range of different companies with a variety of moderation and meta-moderation techniques. there are potentially a range commercialisation opportunities. <br /><br /><strong>Retheorising LO</strong>: Both the literature that describes LO and that which provides details about determining the value, significance or achievement of the an organisation with respect to LO main perspectives and core capabilities appears to be untheorised. <br /><br /><strong>Understanding Internal and External Crowdsourcing, Crowdfunding and Open Innovation</strong>: the principle upon which this system is based is referred to as <em>semantic emergence</em>. This describes the process by which an evaluation of an innovation or idea emerges from the interactions of innovators, reviewers and judges of innovations. This approach can be used to provide a unified approach to internal (enterprise) and external (customer-focused) crowdsourcing, as well as crowdfunding and open innovation.
Beneficiary
Quantification
Description
Evidence
Description
3D printed fins for surfboards: finding the right flow
Our work on 3D printed resulted in a lot of media exposure for research at the University of Wollongong
Beneficiary
Quantification
Description
Evidence
Description
QPLAN.ECO at 28th IPDMC
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>
