Hirad Assimi

Dr Hirad Assimi

Grant Funded Researcher A

School of Electrical and Mechanical Engineering

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

I believe "if we want to make progress fast, we can do it alone; If we want to go far, we have to do it together". I am a multidisciplinary design engineer with the goal of increasing value and productivity while lowering operational costs and saving the planet. I have a diverse technical background and a passion for blending academic knowledge into real-world complex optimisation problems to conduct research with impact and facilitate collaboration between academic research and industrial applications.

My PhD was part of the Integrated Mining Consortium, in which we dealt with real-world problems to improve mining technologies and solve a common problem in stockpile management. I am currently a researcher at the Mine Operational Vehicles Electrification (MOVE) project funded by the Future Battery Industries Cooperative Research Centre (FBICRC) and led by the University of Adelaide. Our project provides the Australian mining industry with a suite of decision-making tools and guidelines that will aid their transition towards battery-supported vehicles and associated stationary machinery in their mining operations.

 

  • Journals
    Year Citation
    2024 Assimi, H., Hashemian Ataabadi, S. N., Islam, S. M. M., Soong, W. L., & Pourmousavi, S. A. (2024). Toward Underground Mobile Fleet Electrification: Three essential steps to make a real change. IEEE Electrification Magazine, 12(1), 16-26.
    DOI Scopus1
    2021 Mallipeddi, R., Gholaminezhad, I., Saeedi, M. S., Assimi, H., & Jamali, A. (2021). Robust controller design for systems with probabilistic uncertain parameters using multi-objective genetic programming. Soft Computing, 25(1), 233-249.
    DOI Scopus2 WoS2
    2019 Assimi, H., Jamali, A., & Nariman-zadeh, N. (2019). Multi-objective sizing and topology optimization of truss structures using genetic programming based on a new adaptive mutant operator. Neural Computing and Applications, 31(10), 5729-5749.
    DOI Scopus20 WoS12
    2018 Assimi, H., & Jamali, A. (2018). A hybrid algorithm coupling genetic programming and Nelder–Mead for topology and size optimization of trusses with static and dynamic constraints. Expert Systems with Applications, 95, 127-141.
    DOI Scopus41 WoS26
    2017 Assimi, H., Jamali, A., & Nariman-zadeh, N. (2017). Sizing and topology optimization of truss structures using genetic programming. Swarm and Evolutionary Computation, 37, 90-103.
    DOI Scopus56 WoS36
    2017 Gholaminezhad, I., Jamali, A., & Assimi, H. (2017). Multi-objective reliability-based robust design optimization of robot gripper mechanism with probabilistically uncertain parameters. Neural Computing and Applications, 28(S1), 659-670.
    DOI Scopus19 WoS15
    2016 Gholaminezhad, I., Assimi, H., Jamali, A., & Vajari, D. A. (2016). Uncertainty quantification and robust modeling of selective laser melting process using stochastic multi-objective approach. International Journal of Advanced Manufacturing Technology, 86(5-8), 1425-1441.
    DOI Scopus23 WoS11

  • Book Chapters
    Year Citation
    2020 Khayyam, H., Jamali, A., Assimi, H., & Jazar, R. N. (2020). Genetic Programming Approaches in Design and Optimization of Mechanical Engineering Applications. In R. N. Jazar, & L. Dai (Eds.), Nonlinear Approaches in Engineering Applications: Automotive Applications of Engineering Problems (pp. 367-402). Cham, Switzerland: Springer International Publishing.
    DOI Scopus10

Hans-Jürgen and Marianne Ohff Research Grant at University of Adelaide (2019)

Teaching assistant for Grand Challenges (2020, Semester 2)

Teaching assistant for Grand Challenges (2019, Semester 2)

Teaching assistant for Evolutionary Computation (2018, Semester 2)

  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2024 Co-Supervisor Explainable, Transparent and Trustworthy Data-Driven, Modelling of Underground Electric Mining Trucks Doctor of Philosophy Doctorate Full Time Miss Tamsa .
    2023 Co-Supervisor Optimal Energy Storage and Infrastructure Design and Operation for Mining's Electrified Mobile Fleet Doctor of Philosophy Doctorate Full Time Mr Behnam Hashemian Ataabadi
  • Position: Grant Funded Researcher A
  • Phone: 83136393
  • Email: hirad.assimi@adelaide.edu.au
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor Level Three
  • Room: 3.56
  • Org Unit: Electrical and Electronic Engineering
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