2023 IEEE Symposium Series on Computational Intelligence
December 5-8, 2023  |  Mexico City, Mexico


Special Sessions


1. Computational Intelligence and Cognitive Science (CIMEX)
Hiram Calvo, CIC-IPN, Mexico
Miguel Gonzalez, Tecnologico de Monterrey, Mexico
2. AI for Aerial Robotics (AIAR)
Israel Cruz Vega, National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico
José Martínez Carranz, INAOE, Mexico
3. AI in Autonomous Vehicles (AIAV)
Filiberto Muñoz Palacios, CINVESTAV-CNRS, Mexico
Jorge Said Cervantes Rojas, CINVESTAV-CNRS, Mexico
4. Computational Intelligence for Fault Detection and Isolation (CIFDI)
Alma Y. Alanis, Universidad de Guadalajara, Mexico
Juan Anzurez-Marin, Universidad Michoacana de San Nicolas de Hidalgo, Mexico
5. Computational Intelligence for Robotics (CIR)
Wen Yu, CINVESTAV-IPN, Mexico
Zeng-Guang Hou, Chinese Academy of Sciences, China
6. Computing Intelligence in Scheduling and Optimization of Complex Systems (CISO)
Lijun He, Wuhan University of Technology, China
Wenfeng Li, Wuhan University of Technology, China
7. Computational Intelligent for Data Stream Analysis (CIDSA)
Shengxiang Yang, De Montfort University, UK
8. Computational Intelligence in Power and Energy Systems (CIPES)
Fernando Lezama, Polytechnic of Porto, Portugal
Joao Soares, Polytechnic of Porto, Portugal
Kumar Venayagamoorthy, Clemson University, USA
Zita Vale, Polytechnic of Porto, Portugal
9. Extreme Learning Machines (ELM)
Guang-Bin Huang, Nanyang Technological University, Singapore
Bao-Liang Lu, Shanghai Jiao Tong University, China
Jonathan Wu, University of Windsor, Canada
Donald C. Wunsch II, Missouri University of Science and Technology, USA
Amaury Lendasse, University of Houston, USA
10. Intelligent Control with State Constraint (ICSC)
Isaac Chairez, IPN, Mexico
Ivan Salgado, IPN, Mexico
11. Interactive Reinforcement Learning (IARL)
Minwoo Jake Lee, University of North Carolina, Charlotte, USA
12. Machine Learning for Knowledge-Based Systems (MLKBS)
Asdrúbal López-Chau, Universidad Autónoma del Estado de México, Mexico
David Valle-Cruz, Universidad Autónoma del Estado de México, Mexico
13. Randomized Algorithms for Training Neural Networks (RANN)
Dianhui Wang, China University of Mining and Technology, China
Ivan Tyukin, King's College of London, UK
Simone Scardapane, Sapienza University of Rome, Italy