Mr 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.
Date Position Institution name 2021 - ongoing Grant Funded Researcher University of Adelaide
Language Competency English Can read, write, speak, understand spoken and peer review Persian Can read, write, speak, understand spoken and peer review
Date Institution name Country Title 2018 - 2023 University of Adelaide Australia PhD in Computer Science 2014 - 2017 University of Guilan Iran Master of Science in Mechanical Engineering 2009 - 2014 University of Guilan Iran Bachelor of Science in Mechanical Engineering
Year Citation 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 Scopus14 WoS11
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 Scopus25 WoS21
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 Scopus49 WoS35
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 Scopus15 WoS12
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 Scopus19 WoS11
Year Citation 2022 Assimi, H., Neumann, F., Wagner, M., & Li, X. (2022). Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. In L. P. Caceres, & S. Verel (Eds.), Evolutionary Computation in Combinatorial Optimization (Vol. 13222 LNCS, pp. 111-126). SPRINGER INTERNATIONAL PUBLISHING AG.
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.
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 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
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