CV - Mai Huong Do
Education
- University of Toulouse III (UT3)
PhD in Computer Science
April 2024 - Present
Toulouse, France- Thesis: “Exploring the tradeoffs between energy and performance of federated learning algorithms”
- Funded by ANR DELIGHT project
- Advisor: Prof. Georges Da Costa and Maitre de conf. Millian Poquet
- Soongsil University (SSU)
Master in Information Communication Convergence Technology
August 2021 - January 2024
Seoul, South Korea- Thesis: “Energy-Delay Optimization in Mobile Edge Computing Federation System”
- Funded by IITP & MSIT, Korea
- Advisor: Prof. Yoo Myung Sik
- Hanoi University of Science and Technology (HUST)
Bachelor in Electronics and Telecommunications
September 2015 - October 2020
Hanoi, Vietnam- Thesis: “Geodetic Antenna Design for GNSS/GPS application”
- Funded by IoG Vietnam
- Advisor: Dr. Lam Hong Thach
Skills
- Technical Skills: Python, Grid’5000 system, Machine learning
- Soft Skills: Teamwork, Individual work, Task organization
- Languages: Vietnamese (native), English
Experience
- IRIT Lab, University of Toulouse III
PhD
April 2024 - Present
Toulouse, France- Project: Exploring the tradeoffs between energy and performance of Federated Learning algorithms
- Description: Developed a use-case for Flower - a Federated Learning framework, working on Grid’5000. Built a reproducible and automated framework to gather performance and energy metrics.
- ANDA Lab, Soongsil University
Research Assistant / Master’s Student
August 2021 - January 2024
Seoul, South Korea- Project: Resource Allocation and Task Offloading in the IIoT system in MEC
- Description: Proposed a new MEC federation model, formulated an optimization function for energy and time, solved using DRL methods.
- VACE Antenna Co., Ltd
Radio Unit (RU) System Engineer
June 2020 - August 2021
Hanoi, Vietnam- Project: Remote Radio Head Configuration
- Description: Debugged and evaluated the performance of the Remote Radio Head module, designed verification, and optimized circuits.
- Institute of Geophysics, VN Academy of Science & Technology
Intern
October 2019 - June 2020
Hanoi, Vietnam- Project: Microstrip (patch) antenna designing for GNSS
- Description: Surveyed antenna design trends, designed patch antennas using HFSS, and produced a real product.
Publications
- Do, H. M., Tran, T. P., & Yoo, M. (2023). Deep Reinforcement Learning-Based Task Offloading and Resource Allocation for Industrial IoT in MEC Federation System. IEEE Access.
- Do, H. M., & Yoo, M. (2023). Delay Optimization for Augmented Reality Service using Mobile Edge Computing Federation system. 2023 14th International Conference on Information and Communication Technology Convergence (ICTC).
- Do, H. M., & Yoo, M. (2023). Energy Consumption Optimization in Mobile Edge Computing Federation based Deep Reinforcement Learning. 한국통신학회 학술대회논문집, 1834-1835.
- Do, H. M., & Yoo, M. (2022). Delay Optimization in Mobile Edge Computing Federation using Task Offloading and Resource Allocation. 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), pp. 767-770. IEEE.
Certifications and Awards
- Best Graduation Project Award, Telecommunications Council, HUST (2020)
- Thesis: “Geodetic Antenna Design for GNSS/GPS application (frequency range from 1570 to 1610 MHz)”
- ETS TOEIC Official Score Certificate
- Listening: 325, Reading: 280, Total: 605
References
Prof. Georges Da Costa
SEPIA Team, IRIT, UT3, Toulouse
Email: georges.da-costa@irit.frProf. Yoo Myung Sik
Department of Electronic Engineering, SSU, Seoul
Email: myoo@ssu.ac.krKang Mun Hyung
R&D System, VACE Antenna Co., Ltd
Email: kingmuun@naver.comDr. Lam Hong Thach
Lecturer of SET, HUST
Email: thach.lamhong@hust.edu.vn