Amirghasemi, Mehrdad

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. Along with having two years experience in software development industry, he has been teaching and tutoring several web technologies, web development, programming, and simulation subjects within the University of Wollongong.

Research Areas

Research Overview

The central theme of his research interests is the application of evolutionary computation and simulation in solving a board class of problems in industry and business, namely IoT, cloud computing, and Operations Research. In his PhD thesis, a parallel metaheuristic framework has been developed to tackle a class of combinatorial optimisation problems. The computational results indicated that the proposed parallel strategy is highly effective; reaching high-quality solutions in a very short amount of time.

In addition to co-authoring several journal and conference papers, Dr Amirghasemi has also been involved in design and implementation of several cloud-based software solutions, within SMART IoT hub for several industrial and academic partners. These applications could be seen as tools to promote concepts such as collaborative urban design and meta-moderation of innovative ideas within an organization.

Selected Publications

Journal Article

Year	Title
2022	Social media use in disaster recovery: A systematic literature review Published In International Journal of Disaster Risk Reduction
2021	A clinician-led, experience-based co-design approach for developing mHealth services to support the patient self-management of chronic conditions: Development study and design case Published In JMIR mHealth and uHealth
2021	An effective decomposition-based stochastic algorithm for solving the permutation flow-shop scheduling problem Published In Algorithms
2020	Developing an Effective Decomposition-Based Procedure for Solving the Quadratic Assignment Problem Published In Lecture Notes in Computer Science
2020	Understanding Spatial Variability of Air Quality in Sydney: Part 2—A Roadside Case Study Published In Atmosphere
2019	Developing an Effective Decomposition-Based Procedure for Solving the Quadratic Assignment Problem Published In Lecture Notes in Computer Science
2019	Understanding Spatial Variability of Air Quality in Sydney: Part 2—A Roadside Case Study Published In Atmosphere
2018	A genetic column generation algorithm for sustainable spare part delivery: application to the Sydney DropPoint network Published In Annals of Operations Research
2018	An Effective Structural Iterative Refinement Technique for Solving the Quadratic Assignment Problem Published In Lecture Notes in Computer Science
2017	An effective evolutionary hybrid for solving the permutation flowshop scheduling problem Published In Evolutionary Computation
2015	An effective asexual genetic algorithm for solving the job shop scheduling problem Published In Computers and Industrial Engineering
2014	A synergetic combination of small and large neighborhood schemes in developing an effective procedure for solving the job shop problem Published In SpringerPlus
2013	An anthropomorphic method for number sequence problems Published In Cognitive Systems Research

Chapter

Year	Title
2022	ArkiCity: Analysing the Object Detection Performance of Cloud-Based Image Processing Services Using Crowdsourced Data Published In Green Energy and Technology Publisher Springer International Publishing
2021	Memetic Strategies for Network Design Problems Published In Frontiers in Nature-Inspired Industrial Optimization Publisher Springer Singapore
2021	Problem-Driven and Technology-Enabled Solutions for Safer Communities Published In Handbook of Smart Cities Publisher Springer International Publishing
2020	A Self-adaptive Nature-Inspired Procedure for Solving the Quadratic Assignment Problem Published In Frontier Applications of Nature Inspired Computation Publisher Singapore
2020	Problem-Driven and Technology-Enabled Solutions for Safer Communities Published In Handbook of Smart Cities Publisher Springer International Publishing

Conference Paper

Year	Title
2020	Measuring the Perceived Leasing Price of Empty Container in Shipping System Published In 23rd International Congress on Modelling and Simulation (MODSIM2019)
2020	Meta-moderation for crowdsourced disaster management and urban participatory applications Published In 23rd International Congress on Modelling and Simulation
2020	The application of Evolutionary Computation and Metaheuristics for Solving the Network Design Problems Published In 23rd International Congress on Modelling and Simulation (MODSIM2019)
2019	Measuring the Perceived Leasing Price of Empty Container in Shipping System Published In 23rd International Congress on Modelling and Simulation (MODSIM2019)
2019	Meta-moderation for crowdsourced disaster management and urban participatory applications Published In 23rd International Congress on Modelling and Simulation
2019	The application of Evolutionary Computation and Metaheuristics for Solving the Network Design Problems Published In 23rd International Congress on Modelling and Simulation (MODSIM2019)
2013	The roles of evolutionary computation, fitness landscape, constructive methods and local searches in the development of adaptive systems for infrastructure planning Published In Proceedings of the International Symposium for Next Generation Infrastructure
2010	Easy Music Player : Playing Digital Music with Physical Objects Published In Sider 2010 Ingredients in gradients

Impact Story

3D printed fins for surfboards: finding the right flow
Summary
Engagement with media and working with industry

Detail View

Detail View Summary View
Detail of Impact
Our work on 3D printed resulted in a lot of media exposure for research at the University of Wollongong
Field of Research
Countries / Regions
Beneficiaries

Beneficiary Quantification Description
External Partners
Evidence of Impact

Evidence Description
UOW Centres / Programs
UOW Researchers / Collaborators
QPLAN.ECO at 28th IPDMC
Summary
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>

Detail View

Detail View Summary View
Field of Research
Countries / Regions
Beneficiaries

Beneficiary Quantification Description
External Partners
Evidence of Impact

Evidence Description
UOW Centres / Programs
UOW Researchers / Collaborators

Keywords

SMART, Evolutionary Computation, Ubiquitous computing, IoT, Optimisation / Parallel Computing.

Orcid Id

http://orcid.org/0000-0001-8466-1380 (confirmed)

Research Areas

Research Overview

The central theme of his research interests is the application of evolutionary computation and simulation in solving a board class of problems in industry and business, namely IoT, cloud computing, and Operations Research. In his PhD thesis, a parallel metaheuristic framework has been developed to tackle a class of combinatorial optimisation problems. The computational results indicated that the proposed parallel strategy is highly effective; reaching high-quality solutions in a very short amount of time.

In addition to co-authoring several journal and conference papers, Dr Amirghasemi has also been involved in design and implementation of several cloud-based software solutions, within SMART IoT hub for several industrial and academic partners. These applications could be seen as tools to promote concepts such as collaborative urban design and meta-moderation of innovative ideas within an organization.

Selected Publications

Journal Article

Year	Title
2022	Social media use in disaster recovery: A systematic literature review Published In International Journal of Disaster Risk Reduction
2021	A clinician-led, experience-based co-design approach for developing mHealth services to support the patient self-management of chronic conditions: Development study and design case Published In JMIR mHealth and uHealth
2021	An effective decomposition-based stochastic algorithm for solving the permutation flow-shop scheduling problem Published In Algorithms
2020	Developing an Effective Decomposition-Based Procedure for Solving the Quadratic Assignment Problem Published In Lecture Notes in Computer Science
2020	Understanding Spatial Variability of Air Quality in Sydney: Part 2—A Roadside Case Study Published In Atmosphere
2019	Developing an Effective Decomposition-Based Procedure for Solving the Quadratic Assignment Problem Published In Lecture Notes in Computer Science
2019	Understanding Spatial Variability of Air Quality in Sydney: Part 2—A Roadside Case Study Published In Atmosphere
2018	A genetic column generation algorithm for sustainable spare part delivery: application to the Sydney DropPoint network Published In Annals of Operations Research
2018	An Effective Structural Iterative Refinement Technique for Solving the Quadratic Assignment Problem Published In Lecture Notes in Computer Science
2017	An effective evolutionary hybrid for solving the permutation flowshop scheduling problem Published In Evolutionary Computation
2015	An effective asexual genetic algorithm for solving the job shop scheduling problem Published In Computers and Industrial Engineering
2014	A synergetic combination of small and large neighborhood schemes in developing an effective procedure for solving the job shop problem Published In SpringerPlus
2013	An anthropomorphic method for number sequence problems Published In Cognitive Systems Research

Chapter

Year	Title
2022	ArkiCity: Analysing the Object Detection Performance of Cloud-Based Image Processing Services Using Crowdsourced Data Published In Green Energy and Technology Publisher Springer International Publishing
2021	Memetic Strategies for Network Design Problems Published In Frontiers in Nature-Inspired Industrial Optimization Publisher Springer Singapore
2021	Problem-Driven and Technology-Enabled Solutions for Safer Communities Published In Handbook of Smart Cities Publisher Springer International Publishing
2020	A Self-adaptive Nature-Inspired Procedure for Solving the Quadratic Assignment Problem Published In Frontier Applications of Nature Inspired Computation Publisher Singapore
2020	Problem-Driven and Technology-Enabled Solutions for Safer Communities Published In Handbook of Smart Cities Publisher Springer International Publishing

Conference Paper

Year	Title
2020	Measuring the Perceived Leasing Price of Empty Container in Shipping System Published In 23rd International Congress on Modelling and Simulation (MODSIM2019)
2020	Meta-moderation for crowdsourced disaster management and urban participatory applications Published In 23rd International Congress on Modelling and Simulation
2020	The application of Evolutionary Computation and Metaheuristics for Solving the Network Design Problems Published In 23rd International Congress on Modelling and Simulation (MODSIM2019)
2019	Measuring the Perceived Leasing Price of Empty Container in Shipping System Published In 23rd International Congress on Modelling and Simulation (MODSIM2019)
2019	Meta-moderation for crowdsourced disaster management and urban participatory applications Published In 23rd International Congress on Modelling and Simulation
2019	The application of Evolutionary Computation and Metaheuristics for Solving the Network Design Problems Published In 23rd International Congress on Modelling and Simulation (MODSIM2019)
2013	The roles of evolutionary computation, fitness landscape, constructive methods and local searches in the development of adaptive systems for infrastructure planning Published In Proceedings of the International Symposium for Next Generation Infrastructure
2010	Easy Music Player : Playing Digital Music with Physical Objects Published In Sider 2010 Ingredients in gradients

Impact Story

3D printed fins for surfboards: finding the right flow
Summary
Engagement with media and working with industry

Detail View

Detail View Summary View
Detail of Impact
Our work on 3D printed resulted in a lot of media exposure for research at the University of Wollongong
Field of Research
Countries / Regions
Beneficiaries

Beneficiary Quantification Description
External Partners
Evidence of Impact

Evidence Description
UOW Centres / Programs
UOW Researchers / Collaborators
QPLAN.ECO at 28th IPDMC
Summary
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>

Detail View

Detail View Summary View
Field of Research
Countries / Regions
Beneficiaries

Beneficiary Quantification Description
External Partners
Evidence of Impact

Evidence Description
UOW Centres / Programs
UOW Researchers / Collaborators

Keywords

SMART, Evolutionary Computation, Ubiquitous computing, IoT, Optimisation / Parallel Computing.

Orcid Id

http://orcid.org/0000-0001-8466-1380 (confirmed)

Amirghasemi, Mehrdad Dr.

Research Fellow

Overview

Overview

Research Areas

Research Overview

Publications

Selected Publications

Journal Article

Chapter

Conference Paper

Impact

Impact Story

3D printed fins for surfboards: finding the right flow

QPLAN.ECO at 28th IPDMC

Background

Keywords

Identity

Orcid Id

Overview

Research Areas

Research Overview

Publications

Selected Publications

Journal Article

Chapter

Conference Paper

Impact

Impact Story

3D printed fins for surfboards: finding the right flow

QPLAN.ECO at 28th IPDMC

Background

Keywords

Identity

Orcid Id

Visualisations

Research Areas