Phuong-Nam Tran, Ph.D.c
Kyung Hee University, Suwon Campus, Republic of Korea
I am Tran Phuong Nam (TrαΊ§n PhΖ°Ζ‘ng Nam in Vietnamese), a Ph.D. candidate at Kyung Hee University, Republic of Korea, and a member of the Networking Intelligence Laboratory led by Prof. Choong Seon Hong.
My research focuses on multimodal deep learning and its use in real-world systems. I have worked on:
- Emotion recognition from speech and text, including MemoCMT (Scientific Reports, 2025).
- Anomaly detection for electric vehicle batteries, using spectrograms and time-series data: Enhancing battery anomaly detection via trend-reversal spectrograms and multi-modal cross-attention (eTransportation, 2026; free access).
- Large language models and federated learning, including two surveys in ACM Computing Surveys:
I received my B.Sc. in Artificial Intelligence from FPT University, Vietnam, in 2023, graduating as valedictorian of Information Technology. That same year, our paper on image captioning won the Best Paper Award at ICTC 2023. Before starting my Ph.D., I worked as an AI engineer at K&G Technology, as an AI researcher at Pythera AI, and as a researcher at the AiTA Lab, FPT University.
ποΈ News ποΈ
π Selected publications π
eTransportation 
Enhancing battery anomaly detection via trend-reversal spectrograms and multi-modal cross-attention
eTransportation, 2026 IF 18.7
ACM Comput. Surv. 
DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks: A Survey
ACM Computing Surveys, 2025 IF 28.0
Scientific Reports 
MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion
* Equal contribution
Scientific Reports, 2025 IF 3.9