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Maysam Orouskhani

  • Postdoctoral research fellow, Research Institute of Future Media Computing, Shenzhen University
  • Dynamic Multi-Objective Optimization, Local and Global Optimization, Computational Intelligence and Soft Computing, Big Data and Data Mining, Modeling and Prediction of Non-linear and Dynamic Systems, Bio-medical Data Modeling and Disease Diagnosis using AI, Supervised and Unsupervised Machine Learning Methods.
  • Contact Details:
  • Website:https://sites.google.com/view/maysam-orouskhani

Education

  • 2018 - up to now: Postdoctoral research fellow, Research Institute of Future Media Computing, Shenzhen University, China
  • 2013 - 2017: PhD of Artificial Intelligence, Science and Research branch, Islamic Azad University, Iran
  • 2011 - 2013: Master of Mechatronic Engineering, Science and Research branch, Islamic Azad University, Iran

Awards

  • Received PhD thesis and obtained PhD student grant in Doctoral Consortium Section of 29th anniversary of the Australasian Joint Conference on Artificial Intelligence, AI 2016
  • Received PhD student grant for attending in the 15th International Conference of the Italian Association for Artificial Intelligence, AI*AI 2016
  • Winner of IEEE Competition on ”Dynamic Multi-objective Optimization”, IEEE Congress on Evolutionary Computation, CEC 2015, Japan. Chair: Dr. Marde Helbig
  • 3th rank in PhD Entrance Examination of Artificial Intelligence, Islamic Azad University, Iran
  • 10th rank in Masters Entrance Examination of Mechatronic Engineering, Islamic Azad University, Iran
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Representative Publications

  • 2018 M. Orouskhani, D. Shi, “Fuzzy Adaptive Cat Swarm Algorithm and Borda Method for Solving Dynamic Multi-objective Problems”, Expert Systems, Wiley Press (IF: 1.43)
  • 2017 M. Orouskhani, M. Teshnehlab, M.A. Nekouei, “Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Borda Count Method”, International Journal of Machine Learning and Cybernetics, Springer Press (IF: 2.7)
  • 2017 M. Orouskhani, M. Teshnehlab, M. Nekoui, “ Elitist Multi-objective Cat Swarm Algorithm”, Journal of Optimization in Industrial Engineering, Qazvin University, (SCI index)
  • 2016 M. Orouskhani, M. Teshnehlab, M.A. Nekoui, “Integration of Cat Swarm Optimization and Borda Count Method for Solving Dynamic Multi-objective Optimization”, International Journal of Computational Intelligence and Application, World Scientific Press (Web of Science)
  • 2014 M.Orouskhani, M.Mansouri and M.Teshnehlab, “Training Tsukamoto-Type Neural Fuzzy Inference Network Based on Cat Swarm Algorithm ”, 14th Conference on Fuzzy Systems, Sahand University, Iran
  • 2014 E. Orouskhani, M. Orouskhani, “Prediction of the Equilibrium Constant in Systems Containing Carbon Dioxide Using ANFIS (Persian Manuscript)”, First National Conference of Applied Mechanic, University of Tabriz, Iran
  • 2013 M. Orouskhani, M. Mansouri, Y. Orouskhani, M. Teshnehlab, “Hybrid Method of Modified Cat Swarm Optimization and Gradient Descent Algorithm for Training ANFIS”, International Journal of Computational Intelligence and Application, 2013, World Scientific Press
  • 2011 M.Orouskhani, Y.Orouskhani and M.Teshnehlab, “A New Adaptive and Dynamic Strategy in Cat Swarm algorithm”, 11th Workshop on Computational Intelligence, University of Manchester
  • 2011 M.Orouskhani, M.Mansouri and M.Teshnehlab, “Average-Inertia Weighted Cat Swarm Optimization”, Second Conf on Swarm Intelligence (ICSI 2011), China
  • 2011 M. Orouskhani, H. Zartabi, “Increasing the Convergence of Neural Networks by PSO and BP”, Iranian National Conference on Electrical Engineering
Research Institute for Future Media Computing,Shenzhen University 2014 - 2018