Grant Funded Researcher A
School of Electrical and Electronic Engineering
Faculty of Sciences, Engineering and Technology
My PhD is part of the Integrated Mining Consortium, which we deal with real-world problems to improve mining technologies. Currently, humans determine the reclaiming/stacking planning sequence in a mining stockyard by rules of thumb which brings up limited decision support and lower ability to predict unforeseen events.
Therefore, I hope to automate stockpile recovery optimisation in my PhD to improve the quality of output for the end-users and their customers. It will lead to rapid decision making, maximising value and productivity, minimising the operational and capital costs and reducing environmental impacts of the sector.
Date Institution name Country Title 2018 - 2021 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 2022 Assimi, H., Koch, B., Garcia, C., Wagner, M., & Neumann, F. (2022). Run-of-mine stockyard recovery scheduling and optimisation for multiple reclaimers. Proceedings of the ACM Symposium on Applied Computing, 1074-1083.
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 Scopus1 WoS1
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 Scopus8 WoS5
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 Scopus18 WoS16
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 Scopus35 WoS28
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 Scopus13 WoS10
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 Scopus18 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)
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