About Me
Hello and welcome to my homepage! I’m Duc-Anh Pham, currently a master’s student at Tokyo University of Agriculture and Technology (TUAT), conducting research in the Nakajo Laboratory. I graduated from Hanoi University of Science and Technology, School of Electrical and Electronic Engineering, Hanoi, Vietnam, with a focus on Embedded Systems and IoT (Elitech K64 Aug 2019 – May 2023). I have one year of experience working in the field of 4G/5G networks, specifically focusing on the physical layer, alongside strong skills in embedded systems and microelectronics. My career path is driven by a passion for in-depth research in edge AI and deep learning, particularly in the area of quantization. I have practical experience working on applications involving classification, detection, and segmentation deployed on embedded boards such as Raspberry Pi and Jetson Nano. My mission is to connect and contribute globally to advanced AI systems development.
Research Interests
My research is dedicated to developing efficient and adaptive optimization techniques tailored for edge devices, with a particular emphasis on drastically reducing the complexity of deep learning models to enhance real-time performance and energy efficiency. Currently, I am focused on exploring quantization methods, specifically binary quantization, applied to computer vision models, with the ambition to extend these approaches to large language models (LLMs) in the near future. Beyond this, I am eager to broaden my research horizons into various facets of machine learning related to LLMs, information security, and the innovative application of federated learning architectures within robotic environments and manufacturing optimization. My ultimate goal is to bridge cutting-edge AI research with practical, real-time systems that demand both intelligence and efficiency.
Education
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M.S. in Department of Electrical Engineering and Computer Science –
Tokyo University of Agriculture and Technology (TUAT), Tokyo, Japan
Aug 2024 – Present -
B.S. in Embedded Systems and IoT (Elitech K64) –
Hanoi University of Science and Technology, School of Electrical and Electronic Engineering, Hanoi, Vietnam
Aug 2019 – May 2023 | GPA: 3.45/4.00 (Very Good Classification) [Transcript/GPA]
Language Certificates
- English: IELTS Overall Band 7.0 (Mar 2023) [View]
- Japanese: JLPT N3 (July 2024) [View]
- Vietnamese: Native
Awards & Scholarships
- MEXT Scholarship: Japanese Government Scholarship supporting foreign students [View]
- JASSO Scholarship: 3-month Research Student Exchange Program in Tokyo, Japan [View]
- Annually Excellent A-level Scholarship: Top 1% students (2022, 1st semester)
- Mentor: Supporting junior students (ETE9 - Smart Embedded System & IoT major) [View]
Experience
Nakajo Laboratory – Tokyo University of Agriculture and Technology (TUAT), Tokyo, Japan (Oct 2024 – Present)
Graduate student conducting research on real-time computer vision applications and edge AI deployment on resource-constrained hardware such as Raspberry Pi and Jetson Nano. Read more
Viettel High Technology Industries Corporation, Hanoi, Vietnam (Oct 2023 – Oct 2024)
Embedded/Telecommunications Network Developer focusing on 4G/5G and Mixmode network technologies. Read more
EDABK Laboratory – Hanoi University of Science and Technology (HUST), Hanoi, Vietnam (Apr 2021 – Oct 2023)
AI - Embedded Research Student working on machine learning and embedded systems. Read more
Projects
Student Detection System (Mar 2022 – May 2022)
Real-time image detection project using Python, Keras, and OpenCV. Read more
Sleeping Positions Recognition System (June 2022 – Aug 2022)
Image segmentation and classification project using Python and TensorFlow. Read more
Publications
Dual-Rate Alpha Binary Networks: An Energy-Efficient Optimization Approach for Waste Classification (July 2025) [View PDF]
Duc Anh Pham and Hironori Nakajo. Read more
18th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI 2025), Kitakyushu, Japan
Estimating the Coverage of Multiple Species of Paddy Field Weeds Using Semantic Segmentation (July 2025) [View PDF]
Yusuke Sayou, Duc-Anh Pham, Tetsuya Nakamura, Keisuke Katsura, Taiichiro Ookawa, and Hironori Nakajo. Read more
18th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI 2025), Kitakyushu, Japan
Navigable Areas Segmentation Method for Unmanned Surface Vehicles in Paddy Fields (Oct 2023)
Kentaro Machida, Tetsuya Nakamura, Jingyong Cai, Thinh Nguyen-Quang, Duc Anh Pham, Han Huy-Dung, Huy Hoang Nguyen, Taiichiro Ookawa, Hironori Nakajo. Read more
2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), Rajkot, India
A novel Violence Detection for Drone Surveillance (May 2023)
Huy Hoang Nguyen, Quoc Trung Le, Van Quang Nghiem, Minh Son Hoang, Duc Anh Pham. Read more
2023 International Conference on Communication, Circuits, and Systems (IC3S), BHUBANESWAR, India