Trang Thi Nguyen 

Lecture, Computer Science Department

Ph.D. in Computer Science and Engineering, Seoul National University of Science and Technology (SeoulTech), Korea, 2026 
M.S. in Data Science, Ha Noi University of Science and Technology, VietNam, 2020 
B.S. in Information System, Ha Noi University of Science and Technology, VietNam, 2019

Email: trangnt@soict.hust.edu.vn

• Natural language Processing (NLP) 
• Computer Vision 
• Efficient Machine Learning 
• EdgeAI

• Big Data Processing  
• Database Systems 
• Efficient Machine Learning 
• EdgeAI for NLP and CV 

Trang Thi Nguyen is currently a lecturer in the Department of Computer Science at the School of Information and Communication Technology, Hanoi University of Science and Technology (HUST). She received her Ph.D. in Computer Science and Engineering from Seoul National University of Science and Technology (SeoulTech), South Korea, and her M.Sc. in Data Science from the Department of Computer Science at Hanoi University of Science and Technology in 2020. Her research interests include natural language processing, recommender systems, and efficient machine learning. Her current research focuses on Edge AI applications in computer vision and natural language processing. 

• Thi-Trang Nguyen and Ji-Hyeong Han. “Zero-Shot Proxy with Incorporated-Score for Lightweight Deep Neural Architecture Search”. In: Electronics 13.16 (2024). issn: 2079-9292. doi: 10.3390/electronics13163325. url: https://www.mdpi.com/2079-9292/13/16/332 
• Trang Nguyen, Hamza Ghulam Nabi, and Ji-Hyeong Han. “ZenNet-SA: An Efficient Lightweight Neural Network with Shuffle Attention for Facial Expression Recognition”. In: 2024 24th International Conference on Control, Automation and Systems (ICCAS). 2024, pp. 55–60. doi: 10.23919/ICCAS63016.2024.1077324 
• Thi-Trang Nguyen, Xuan-Do Dao, Quoc-Quan Chu, and Kiem-Hieu Nguyen. “Improving Intent Detection and Slot Filling for Vietnamese”. In: 2022 RIVF International Conference on Computing and Communication Technologies (RIVF). 2022, pp. 118–123. doi: 10.1109/RIVF55975.2022.10013846. 
• Thi-Trang Nguyen, Huu Hoang Nguyen, and Kiem-Hieu Nguyen. “A Study on Seq2seq for Sentence Compression in Vietnamese”. In: Pacific Asia Conference on Language, Information and Computation. 2020. url: https://api.semanticscholar.org/CorpusID:2344872 

• Microsoft YouthSpark Scholarship For Women In Technologies 2019 
• Microsoft YouthSpark Scholarship For Women In Technologies 2018 

• IT4931: Bigdata Storage and Processing 
• IT4772: Natural Language Processing 
• IT3220: C Programing (Introduction) 
• IT4868E: Web Mining