Li-Wei Ko

About

Li-Wei Ko is a leading researcher at the intersection of computational intelligence, brain-computer interaction, and humanized robotics. His work focuses on developing intelligent agents that bridge the gap between human cognition and smart machines, with a particular emphasis on co-learning systems where humans and machines learn from each other in real-world applications. Ko’s most cited paper, "Intelligent agent for real-world applications on robotic edutainment and humanized co-learning" (2019, 25 citations), showcases his pioneering approach to creating adaptive, interactive systems for education and entertainment. He has also made notable contributions to semantic brain-computer interfaces (BCIs), as demonstrated in his work on a PFML-based BCI agent for the game of Go (2019, 4 citations), which integrates particle swarm optimization and fuzzy markup language to enable intuitive human-machine collaboration. Additionally, Ko co-organized the 2017 IEEE SMC Brain-Computer Interaction competition, highlighting his leadership in advancing cybernetics systems. With a focus on practical, human-centric AI, his research continues to push the boundaries of how humans and machines can co-evolve, making significant impacts in both academic and applied settings.

Research Focus

Key Achievements

Top Papers

1. 1
   Intelligent agent for real-world applications on robotic edutainment and humanized co-learning

   25 citations · 2019
2. 2
   Human and Smart Machine Co-Learning: Brain-Computer Interaction at the 2017 IEEE International Conference on Systems, Man, and Cybernetics

   4 citations · 2018
3. 3
   PFML-based Semantic BCI Agent for Game of Go Learning and Prediction

   4 citations · 2019

Key Collaborators

Contact & Links