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.
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.
Year | Title |
---|---|
2022 |
Published In
International Journal of Disaster Risk Reduction
|
2021 |
Published In
JMIR mHealth and uHealth
|
2021 |
Published In
Algorithms
|
2020 |
Published In
Lecture Notes in Computer Science
|
2020 |
Published In
Atmosphere
|
2019 |
Published In
Lecture Notes in Computer Science
|
2019 |
Published In
Atmosphere
|
2018 |
Published In
Annals of Operations Research
|
2018 |
Published In
Lecture Notes in Computer Science
|
2017 |
Published In
Evolutionary Computation
|
2015 |
Published In
Computers and Industrial Engineering
|
2014 |
Published In
SpringerPlus
|
2013 |
Published In
Cognitive Systems Research
|
Year | Title |
---|---|
2022 |
Published In
Green Energy and Technology
Publisher
Springer International Publishing
|
2021 |
Published In
Frontiers in Nature-Inspired Industrial Optimization
Publisher
Springer Singapore
|
2021 |
Published In
Handbook of Smart Cities
Publisher
Springer International Publishing
|
2020 |
Published In
Frontier Applications of Nature Inspired Computation
Publisher
Singapore
|
2020 |
Published In
Handbook of Smart Cities
Publisher
Springer International Publishing
|
Year | Title |
---|---|
2020 |
Published In
23rd International Congress on Modelling and Simulation (MODSIM2019)
|
2020 |
Published In
23rd International Congress on Modelling and Simulation
|
2020 |
Published In
23rd International Congress on Modelling and Simulation (MODSIM2019)
|
2019 |
Published In
23rd International Congress on Modelling and Simulation (MODSIM2019)
|
2019 |
Published In
23rd International Congress on Modelling and Simulation
|
2019 |
Published In
23rd International Congress on Modelling and Simulation (MODSIM2019)
|
2013 |
Published In
Proceedings of the International Symposium for Next Generation Infrastructure
|
2010 |
Published In
Sider 2010 Ingredients in gradients
|
Beneficiary | Quantification | Description |
---|
Evidence | Description |
---|
Beneficiary | Quantification | Description |
---|
Evidence | Description |
---|
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.
Year | Title |
---|---|
2022 |
Published In
International Journal of Disaster Risk Reduction
|
2021 |
Published In
JMIR mHealth and uHealth
|
2021 |
Published In
Algorithms
|
2020 |
Published In
Lecture Notes in Computer Science
|
2020 |
Published In
Atmosphere
|
2019 |
Published In
Lecture Notes in Computer Science
|
2019 |
Published In
Atmosphere
|
2018 |
Published In
Annals of Operations Research
|
2018 |
Published In
Lecture Notes in Computer Science
|
2017 |
Published In
Evolutionary Computation
|
2015 |
Published In
Computers and Industrial Engineering
|
2014 |
Published In
SpringerPlus
|
2013 |
Published In
Cognitive Systems Research
|
Year | Title |
---|---|
2022 |
Published In
Green Energy and Technology
Publisher
Springer International Publishing
|
2021 |
Published In
Frontiers in Nature-Inspired Industrial Optimization
Publisher
Springer Singapore
|
2021 |
Published In
Handbook of Smart Cities
Publisher
Springer International Publishing
|
2020 |
Published In
Frontier Applications of Nature Inspired Computation
Publisher
Singapore
|
2020 |
Published In
Handbook of Smart Cities
Publisher
Springer International Publishing
|
Year | Title |
---|---|
2020 |
Published In
23rd International Congress on Modelling and Simulation (MODSIM2019)
|
2020 |
Published In
23rd International Congress on Modelling and Simulation
|
2020 |
Published In
23rd International Congress on Modelling and Simulation (MODSIM2019)
|
2019 |
Published In
23rd International Congress on Modelling and Simulation (MODSIM2019)
|
2019 |
Published In
23rd International Congress on Modelling and Simulation
|
2019 |
Published In
23rd International Congress on Modelling and Simulation (MODSIM2019)
|
2013 |
Published In
Proceedings of the International Symposium for Next Generation Infrastructure
|
2010 |
Published In
Sider 2010 Ingredients in gradients
|
Beneficiary | Quantification | Description |
---|
Evidence | Description |
---|
Beneficiary | Quantification | Description |
---|
Evidence | Description |
---|