Chi-Keong Goh is a data science professional with 15 years of experience in developing and leading data-driven innovation. As the AI Technical Director at Yoozoo Interactive, he is responsible for Yoozoo’s overall Artificial Intelligence/Data Science strategy and spearheads the company’s new Center for Artificial Intelligence and Machine Learning in Singapore. Prior to joining the Yoozoo, Chi-Keong has held positions at the Rolls-Royce Central Technology Group and A*STAR.
Chi-Keong has interest in the application of computational intelligence, data mining, and IoT, enabling pervasive data-driven decision making in the industrial context. His research interest includes ensemble and transfer learning, extraction and incorporation of expert knowledge into data analytics, and multi-objective optimization.
He the co-author of Evolutionary Multiobjective Optimization in Uncertain Environments: Issues and Algorithms (Springer-Verlag, 2009) and the Co-Editor of Multi-objective Memetic Algorithms (Springer-Verlag, 2009) and Computational Intelligence in Expensive Optimization Problems (Springer-Verlag, 2010). Chi-Keong has served as a reviewer for various international journals and on conference program committees in the fields of Computational Intelligence and Data Mining.