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Personal profile


Felix (Phuc) is interested in creating intelligent machines, systems, and software to both reduce the workload and increase both the efficiency and safety of people at work.

He enjoys analyzing data, developing machine learning models, discussing innovative ideas, and writing code. His research interests include data mining and discovery, optimization, artificial intelligence (AI), machine learning, and their combination in practical applications. He aims to deliver solutions that are not only simple but also interpretable and valid to many critical questions.

Currently, he mainly focuses on data science research problems and applying optimization algorithms to build economical and efficient intelligence systems since developing and training a machine learning model to solve tasks or to discover new information are time-consuming and inefficient. Besides, he believes AI agents and robots will replace humans in doing most of the difficult and risky tasks which are dangerous or even impossible for a human. An AI agent should be able to correctly do the assigned tasks first, and then it should have the ability to self-study more complicated and difficult tasks.

Research area keywords

  • Active Learning
  • Data Mining and Knowledge Discovery
  • Machine Learning
  • Artificial Intelligence
  • Optimization


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