Maysam Orouskhani

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

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Contact Information

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

Tel: (+86)13823231436

Email: maysam.orouskhani@szu.edu.cn

https://scholar.google.com/citations?user=2JxsVKwAAAAJ&hl=en

http://futuremedia.szu.edu.cn/peopleMaysamOrouskhani.html

Call for Papers (New)

Dynamic multi-objective optimization and its applications

Special Session in IEEE Congress on Evolutionary Computation June 2019 (http://www.cec2019.org/)

https://sites.google.com/view/cec2019dmoo/home

Introduction

Maysam Orouskhani is currently working as a post-doctoral research fellow at Shenzhen University, China. He has a BSc in Computer Science, a MSc in Mechatronic Engineering and a PhD in Computer Science by the Science and Research branch of Islamic Azad University, Iran. He has been studying on Multi-objective optimization since 2010 and now his current research focuses on dynamic multi-objective evolutionary optimization and its applications to real-world engineering problems such as clustering.

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

  • 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, Complex Networks, Deep Neural Network, Evolutionary Algorithms, Clustering, Image Segmentation.

Publications

  • 2019 M. Orouskhani, D. Shi, "Multi-Objective Evolutionary Clustering with Complex Networks", Expert Systems with Applications, Under Review.
  • 2019 M. Orouskhani, D. Shi, "Modularity-based Multi-objective Evolutionary Clustering", The 28th ACM International Conference on Information and Knowledge Management (CIKM), Under Review
  • 2019 L. Liu, D. Shi, D. Cheng, M. Orouskhani, "An Advanced Harmony Search Algorithm based on Harmony Anchoring and Reverse Learning", 31st International Conference on Tools with Artificial Intelligence, Under Review
  • 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