ABOUT ME
Currently, I am working as a data scientist at Rakuten Group, Inc. Before that, I graduated from The University of Aizu with a Ph.D. in computer science and engineering in 2024. During my PhD, I was fortunate to be supervised by Professor Anh Pham at the Computer Communications Laboratory (CCL).
My doctoral research entitled “AI-empowered Control and Management of UAV-Assisted Wireless Networks” investigated a new approach that integrates machine learning techniques (deep learning and reinforcement learning) into the resource management and deployment of UAV-aided communication networks. The two focuses were optimizing network resource allocation and adaptive deployment of aerial base stations to enable mobile edge computing and internet from space in next-generation networks (5G and Beyond).
EDUCATION
- M.Sc. & Ph.D. in Computer Science and Engineering, The University of Aizu (UoA), Japan.
- B.Eng. (Talented Engineers Program) in Electronics and Telecommunications, Hanoi University of Science and Technology (HUST), Vietnam.
EXPERIENCES
- Data Scientist @ Rakuten Group, Inc., Apr 2025 - now
- Data Scientist Intern @ Rakuten Group, Inc., Sep 2023 – Oct 2023
- Price optimization for online retail markets
- Graduate Research Assistant @ Computer Communications Laboratory (CCL), Apr 2020 – Sep 2024
- Supervisor: Prof. Anh T. Pham, The University of Aizu, Japan
- Theme: Deep reinforcement learning for control and management of UAV-aided communication networks
- Teaching Assistant @ The University of Aizu (UoA)
- CN02 Network Security: Springs 2021, 2022, 2023, 2024
- FU14 Introduction to Software Engineering: Spring 2023
- FU02 Information Theory and Data Compression: Winters 2020, 2021, 2022
- CN04 Wireless Networking: Winters 2021, 2022
- Research Assistant @ Communication Theory and Application Research Group (CTARG), Oct 2017 – Sep 2019
- Supervisor: Assoc. Prof. Chuyen T. Nguyen, Hanoi University of Science and Technology, Vietnam
- Research Topic: Time- and energy-efficient medium access control protocols for RFID systems