Hirad Assimi
Hirad Assimi
Ph.D. Candidate
I am currently a Ph.D. candidate at school of computer science, University of Adelaide, Australia. My Research focuses presently on reliability-based optimization for real-world applications. My thesis is supervised by Prof. Frank Neumann and co-supervised by A/Prof. Markus Wagner. I received my M.Sc. degree in Mechanical Engineering in 2017 from University of Guilan, Iran. My master thesis is entitled “Multi-objective optimum topology design of trusses using genetic programming” under the supervision of A/Prof. Ali Jamali. I also have studied about topology optimization of concentrating solar power plants incorporating thermal energy storage for partial fulfillment of the B.Sc degree. My research interests include Multidisciplinary Design Optimization, Metaheuristic algorithms, Reliability-based Design, Renewable Energies, and Intelligent Control.
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Recent news:
[17 Dec 2020] We just concluded 2020 with celebrating at integrated mining consortium.
[9 Dec 2020] Our paper entitled "Modelling and Optimization of Run-of-Mine Stockpile Recovery" has been accepted to SAC 2021.
[Nov 2020] I will serve as Program Committee member in GECCO 2021.
[Jul 2020] Our paper entitled "Robust controller design for systems with probabilistic uncertain parameters using multi-objective genetic programming" was published in Soft Computing. Please check it out here: https://doi.org/10.1007/s00500-020-05133-x
[Jun 2020] I have been selected as mentee to participate in Industry Mentoring Network in STEM (IMNIS) 2020 program in Energy-Minerals Resources. IMNIS provides Australia's future STEM leaders with the opportunity to engage with industry and extend their professional network. I am honoured to be a member of the IMNIS network.
[Jan 2020] Our paper entitled "Evolutionary Bi-objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives" has been accepted to ECAI 2020.
[Dec 2019] I have been awarded the Hans-Jürgen and Marianne Ohff Research Grant to carry out research work with Institut für Operations Research at Karlsruhe Institute of Technology in 2020.
[Aug 2019] Our book chapter on "Genetic Programming Approaches in Design and Optimization of Mechanical Engineering Applications" was published in Nonlinear Approaches in Engineering Applications: Automotive Applications of Engineering Problems by Springer. Please check it out here: doi.org/10.1007/978-3-030-18963-1_9
My Research & Experience
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Research assistant at Optimisation and Logistics at the University of Adelaide
2018-OngoingHigher Degree Research student at Integrated Mining Consortium
2018-OngoingOptimum design of truss structures using genetic programming
2015-2017Robust modeling of complex processes using multi-objective genetic programming.
2014-2015Designing optimal controller using multi-objective genetic programming.
2013-2014Optimal design of concentrating solar power plants with thermal energy storage system.
2013-2014
Teaching Experience
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Graduate Teaching Assistant for the course of Grand Challenges at the University of Adelaide
2019 Semester 2Graduate Teaching Assistant for the course of Evolutionary Computation at the University of Adelaide
2018 Semester 2Graduate Teaching Assistant for the course of Mechanical Vibrations at University of Guilan
2016 Semester 1Graduate Teaching Assistant for the course of Numerical Methods in Engineering at University of Guilan
2015-2016
Education
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University of Adelaide
2018-OngoingPh.D. in Computer Science
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University of Guilan
2014-2017M.Sc. in Mechanical Engineering (Applied Design)
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University of Guilan
2009-2014B.Sc. in Mechanical Engineering (Mechanics in Solids Design)
Awards
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Awarded Hans-Jürgen and Marianne Ohff Research Grant at University of Adelaide
2019 -
Awarded full scholarship for PhD program at University of Adelaide
2018 -
Graduate Student Researcher Award of the Year at University of Guilan
2017
Peer-reviewed Journal Papers
- [J7] Mallipeddi, R., Gholaminezhad, I., Saeedi, M. S., Assimi, H., & Jamali, A. (2020). Robust controller design for systems with probabilistic uncertain parameters using multi-objective genetic programming. Soft Computing, 1-17, (In Press).
- [J6] Assimi, H., Jamali, A., & Nariman-zadeh, N. (2018). Multi-objective sizing and topology optimization of truss structures using genetic programming based on a new adaptive mutant operator. Neural Computing and Applications, (In Press).
- [J5] 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(C), 127-141.
- [J4] Assimi, H., Jamali, A., & Nariman-zadeh, N. (2017). Sizing and topology optimization of truss structures using genetic programming. Swarm and Evolutionary Computation., 37(C), 90-103.
- [J3] Assimi, H., Jamali, A., & Nariman-zadeh, N. (2017). Sizing and topology optimization of spatial truss structures using hybrid algorithm of genetic programing and Nelder-Mead. Modares Mechanical Engineering., 17(6), 32-40. (In Persian)
- [J2] 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. The International Journal of Advanced Manufacturing Technology., 86(5-8), 1425-1441.
- [J1] Gholaminezhad, I., Jamali, A., & Assimi, H. Multi-objective reliability-based robust design optimization of robot gripper mechanism with probabilistically uncertain parameters. Neural Computing and Applications., 1-12.
Book Chapters
Conference Proceedings
- [C6] Assimi, H., Koch, B., Garcia, C., Wagner, M., & Neumann, F. (2020). Modelling and Optimization of Run-of-Mine Stockpile Recovery . To appear in the Proceedings of the 36th ACM/SIGAPP Symposium on Applied Computing, {SAC} 2021.
- [C5] Assimi, H., Koch, B., Garcia, C., Wagner, M., & Neumann, F. (2020). Automatic search strategy for ROM stockpile recovery optimisation . the Proceedings of the Preconcentration Digital Conference, {Precon} 2020, November 10-11, 17-18, 2020.
- [C4] Assimi, H., Harper, O., Xie, Y., Neumann, A., & Neumann, F. (2020). Evolutionary Bi-objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives . To appear in the Proceedings of the 24th European Conference on Artificial Intelligence, {ECAI} 2020.
- [C3] Xie, Y., Harper, O., Assimi, H., Neumann, A., & Neumann, F. (2019). Evolutionary Algorithms for the Chance-Constrained Knapsack Problem. In the Proceedings of the Genetic and Evolutionary Computation Conference, {GECCO} 2019, Prague, Czech Republic, July 13-17, 2019.
- [C2] Mahmoudimehr, J., Assimi, H. & Ahmadpour, F. (2014, November). Optimal design of concentrating solar power plant with thermal energy storage system (in persian). In the 6th symposium on renewable, clean and efficient energies., Tehran, Iran
- [C1] Gholaminezhad, I., Jamali, A., & Assimi, H. (2014, October). Automated synthesis of optimal controller using multi-objective genetic programming for two-mass-spring system. In Robotics and Mechatronics (ICRoM), 2014 Second RSI/ISM International Conference on. (pp. 041-046). IEEE.