About me

I earned my Engineer degree (2015) and Master degree (2019) in Computer Science from Hanoi University of Science and Technology (Hanoi, Vietnam). In 2022, I finished my PhD in Informatics at Department of Informatics, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies (SOKENDAI). Currently, I am a project researcher at Inoue’s lab, Principles of Informatics Research Division, National Institute of Informatics (Tokyo, Japan).

Research topics:

  • Artificial Inteligence
  • Knowledge Representation and Reasoning
  • Optimization

Publications:

Linear algebraic computation of propositional horn abduction

Tuan Quoc, Katsumi Inoue, Chiaki Sakama, "Linear algebraic computation of propositional horn abduction." In the proceedings of 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021.

Use Google Scholar for full citation

Enhancing linear algebraic computation of logic programs using sparse representation

Tuan Nguyen, Katsumi Inoue, Chiaki Sakama, "Enhancing linear algebraic computation of logic programs using sparse representation." In the proceedings of New Generation Computing, 2021.

Use Google Scholar for full citation

Enhancing Linear Algebraic Computation of Logic Programs Using Sparse Representation

Tuan Nguyen, Katsumi Inoue, Chiaki Sakama, "Enhancing Linear Algebraic Computation of Logic Programs Using Sparse Representation." In the proceedings of EPTCS Online Proceedings of ICLP (2020), 2020.

Use Google Scholar for full citation

A multi-objective multi-factorial evolutionary algorithm with reference-point-based approach

Huynh Binh, Nguyen Tuan, Doan Long, "A multi-objective multi-factorial evolutionary algorithm with reference-point-based approach." In the proceedings of 2019 IEEE Congress on Evolutionary Computation (CEC), 2019.

Use Google Scholar for full citation

A Guided Differential Evolutionary Multi-Tasking with Powell Search Method for Solving Multi-Objective Continuous Optimization

Nguyen Tuan, Ta Hoang, Huynh Binh, "A Guided Differential Evolutionary Multi-Tasking with Powell Search Method for Solving Multi-Objective Continuous Optimization." In the proceedings of 2018 IEEE Congress on Evolutionary Computation (CEC), 2018.

Use Google Scholar for full citation