Dr Hirad Assimi

• Appointments

  Date	Position	Institution name
  2021 - ongoing	Grant Funded Researcher	University of Adelaide

• Language Competencies

  Language	Competency
  English	Can read, write, speak, understand spoken and peer review
  Persian	Can read, write, speak, understand spoken and peer review

• Education

  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

• Research Interests

  Artificial Intelligence Engineering Design Neural, Evolutionary and Fuzzy Computation Optimisation Renewable Power

• 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

• Conference Papers

  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. In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (SAC ’22) (pp. 1074-1083). New York, N.Y.: Association for Computing Machinery. DOI Scopus1
  2022	Assimi, H., Neumann, F., Wagner, M., & Li, X. (2022). Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. In Lecture Notes in Computer Science Vol. 13222 LNCS (pp. 111-126). Madrid, Spain: Springer International Publishing. DOI
  2021	Assimi, H., Koch, B., Garcia, C., Wagner, M., & Neumann, F. (2021). Modelling and optimization of run-of-mine stockpile recovery. In Proceedings of the 36th ACM Symposium on Applied Computing (SAC '21) (pp. 450-458). New York, N.Y.: Association for Computing Machinery. DOI Scopus1 WoS1
  2021	Assimi, H., Neumann, F., Wagner, M., & Li, X. (2021). Novelty particle swarm optimisation for truss optimisation problems. In GECCO Companion (pp. 67-68). New York, NY, USA: ACM. DOI Scopus1
  2020	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. In G. D. Giacomo, A. Catalá, B. Dilkina, M. Milano, S. Barro, A. Bugarín, & J. Lang (Eds.), Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), as published in Frontiers in Artificial Intelligence and Applications Vol. 325 (pp. 307-314). Amsterdam, Netherlands: IOS Press BV. DOI Scopus19 WoS8
  2019	Xie, Y., Harper, O., Assimi, H., Neumann, A., & Neumann, F. (2019). Evolutionary algorithms for the chance-constrained knapsack problem. In A. Auger, & T. Stützle (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019, Prague, Czech Republic, July 13-17, 2019 Vol. 33 (pp. 338-346). Prague Czech Republic: ACM. DOI Scopus23 WoS13
  2014	Gholaminezhad, I., Jamali, A., & Assimi, H. (2014). Automated synthesis of optimal controller using multi-objective genetic programming for two-mass-spring system. In 2014 2nd RSI/ISM International Conference on Robotics and Mechatronics, ICRoM 2014 Vol. 3 (pp. 41-46). Tehran, IRAN: IEEE. DOI Scopus9 WoS6

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