Maysam Orouskhani

Postdoctoral research fellow, College of Computer Science and Software Engineering, Shenzhen University


Contact Information

Room 412, forth floor, Research Institute of Future Media Computing

Tel: (+86)13060622536


Call for Papers (New)

Dynamic multi-objective optimization and its applications

Special Session in IEEE Congress on Evolutionary Computation June 2019 (


I'm currently working as a post-doctoral research fellow at Shenzhen University. I have been studying on Multi-objective optimization since 2010 and now my current research focuses on dynamic multi-objective optimization and its applications to real-world engineering problems. I focused previously on the applications of Evolutionary algorithms to Neural Networks and fuzzy models while nowadays I have switched to solving Multi-objective optimization problems in dynamic and time-varying environments.


  • 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


  • 2016 Accepted PhD thesis and obtained student grant in Doctoral Consortium Section of 29th anniversary of the Australasian Joint Conference on Artificial Intelligence, AI 2016
  • 2016 Obtained student grant as PhD candidate for attending in the 15th International Conference of the Italian Association for Artificial Intelligence, AI*AI 2016
  • 2015 Winner of IEEE Competition on ”Dynamic Multi-objective Optimization”, IEEE Congress on Evolutionary Computation, CEC 2015, Japan. Chair of Competition: Dr. Marde Helbig, University of Pretoria
  • 2012 3th rank in the PhD Entrance examination of Computer Engineering in the field of Artificial Intelligence at Islamic Azad University
  • 2010 10th rank in the Masters Entrance examination of Mechatronic Engineering at Islamic Azad University

Courses Taught

  • Artificial Intelligence
  • Evolutionary Computation
  • Neural Networks and Fuzzy Logic
  • How to program by C++
  • MATLAB Software
  • Global optimization

Research Projects

  • Diabetes data modeling using fuzzy logic
  • Weather prediction using ANFIS
  • Inventory prediction using Neural Networks

Research Interest

Multi-objective Optimization, Machine learning, Deep Learning, Deep Neural Network Optimization, Evolutionary Algorithms, Computational Intelligence, Image Segmentation.


  • 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), Download
  • 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), Download
  • 2017 M. Orouskhani, M. Teshnehlab, M. Nekoui, “ Elitist Multi-objective Cat Swarm Algorithm”, Journal of Optimization in Industrial Engineering, Qazvin University, (SCI index), Download
  • 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), Download
  • 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, Download
  • 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, Download
  • 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, Download
  • 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, Download
  • 2011 M.Orouskhani, M.Mansouri and M.Teshnehlab, “Average-Inertia Weighted Cat Swarm Optimization”, Second Conf on Swarm Intelligence (ICSI 2011), China, Download
  • 2011 M. Orouskhani, H. Zartabi, “Increasing the Convergence of Neural Networks by PSO and BP”, Iranian National Conference on Electrical Engineering, Download