Researcher

Dr Ali Ahrari

My Expertise

Engineering design by optimisation

Evolutionary algorithms

Multimodal optimisation

Bi-level optimisation

Biography

Ali Ahrari received his Bachelor and Master degree in mechanical engineering from the University of Tehran in 2006 and 2009, respectively. He received his PhD in mechanical engineering from Michigan State University (MSU) in 2016, and subsequently worked as a research associate at MSU until June 2018. He has received 2012 Richard H. Brown – ME Endowment Award and Graduate Office Fellowships. He has won a few recent competitions on...view more

Ali Ahrari received his Bachelor and Master degree in mechanical engineering from the University of Tehran in 2006 and 2009, respectively. He received his PhD in mechanical engineering from Michigan State University (MSU) in 2016, and subsequently worked as a research associate at MSU until June 2018. He has received 2012 Richard H. Brown – ME Endowment Award and Graduate Office Fellowships. He has won a few recent competitions on optimisation such as CEC'2016 and GECCO'2016 competition on niching method for multimodal optimisation and ISCSO 2017 competition on structural optimisation. Since July 2018, he is working at UNSW-Canberra as a research associate.  


My Qualifications

Doctor of Philosophy in Mechanical Engineering (December 2016), Michigan State University, East Lansing, MI, USA (GPA: 4.00/4)
Master of Science in Mechanical Engineering-Applied Design (September 2009), University of Tehran, Tehran, Iran
Bachelor of Science in Mechanical Engineering-Solid Mechanics (September 2006), University of Tehran, Tehran, Iran


My Awards

ISO 9001:2000 Internal Auditor Course Certificate

Richard H. Brown – Mechanical Engineering Endowment Award

Graduate Office Fellowship (This fellowship was awarded multiple times)

Winner of GECCO2016, CEC2016 and GECCO2017 competitions on multimodal optimization

Passed FE/EIT exam (Mechanical) in the state of Michigan

Winner of the 2017 ISCSO and 2018 ISCSO student competitions on structural optimization.


My Research Activities

I carry out research on developing optimization algorithms, both classical methods and evolutionary algorithms and their specialization for engineering problems. Engineering Design by optimization is my favorite subject. I have also some experience in machine learning, specifically Decision trees and neural networks.  Currently, I am doing research on “Reactive planning under disruptions and dynamic changes”, which is funded by the Australian Research Council. In the past, I have worked on optimization-related projects funded by General Motors Company, Ford Motor Company, REWIND, NSF, and a few other projects that were not funded.

 

We may have a funded position for a graduate student (PhD or Master’s by research). If you have a background, expertise and interested in design optimization, evolutionary algorithms, or even machine learning, feel free to email me with your resume included. We are in Canberra, Australia.

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Location

Building 15, Room 104

Contact

+61 2 6268 8151