Qihao Shan

M.Sc. Qihao Shan

Faculty of Computer Science
Chair of Computational Intelligence
Gebäude 29, Universitätsplatz 2, 39106 Magdeburg, G29-016

Qihao Shan is a doctoral student in the Chair of Computational Intelligence, Faculty of Computer Science, Otto von Guericke University Magdeburg. He obtained his master's degree in Artificial Intelligence from the University of Edinburgh in 2019. His research focuses on collective decision making in swarm intelligence. 




  • Sanaz Mostaghim, Qihao Shan, Christiane Desel, Alexander Duscha, Aiden Haghikia, Tobias Hegelmeier, Felix Kuhn, Stefan Remy
  • Medical and Behavioral Knowledge Discovery using Multi-Objective Analysis
  • Accepted at IEEE CIBCB 2023: Conference on Computational Intelligence in Bioinformatics and Computational Biology, 29-31 August, 2023 – Eindhoven, The Netherlands


  • Sanaz Mostaghim, Qihao Shan, Christiane Desel, Alexander Duscha, Aiden Haghikia, Tobias Hegelmeier 
  • Unfolding the Variability of Clinical Data in Parkinson Treatment using Multi-objective Analysis
  • Accepted at IEEE Conference on AI 2023


  • Qihao Shan and Sanaz Mostaghim
  • Noise-resistant and Scalable Collective Preference Learning via Ranked Voting in Swarm Robotics 
  • Swarm Intelligence Journal, Springer, 2022 https://doi.org/10.1007/s11721-022-00214-z   


  • Qihao Shan and Sanaz Mostaghim
  • Benchmarking Performances of Collective Decision-making Strategies with Respect to Communication Bandwidths in Discrete Collective Estimation
  • In: , et al. Swarm Intelligence. ANTS 2022. Lecture Notes in Computer Science, vol 13491. Springer, Cham. https://doi.org/10.1007/978-3-031-20176-9_5


  • Qihao Shan, Alexander Heck and Sanaz Mostaghim
  • Discrete Collective Estimation in Swarm Robotics with Ranked Voting Systems ( Download )
  • In the Proceedings of the 2021   IEEE Symposium Series on Computational Intelligence (SSCI)  , IEEE Symposium on Swarm Intelligence, Orlando, USA, 2021, doi:   10.1109/SSCI50451.2021.9659868 



  • Qihao Shan and Sanaz Mostaghim
  • Achieving Task Allocation in Swarm Intelligence with Bi-Objective Embodied Evolution
  • Springer Journal on Swarm Intelligence, 2021,  https://doi.org/10.1007/s11721-021-00198-2 , June 2021


  • Qihao Shan and Sanaz Mostaghim 
  • Collective Decision Making in Swarm Robotics with Distributed Bayesian Hypothesis Testing
  • In: Dorigo M. et al. (eds) Swarm Intelligence. ANTS 2020. Lecture Notes in Computer Science, vol 12421. Springer, Cham. 2020.  https://doi.org/10.1007/978-3-030-60376-2_5 

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