CV

This is my curriculum vitae (CV) page.

Tran Phuong Nam

An artificial intelligence researcher with a strong background in computer science.

• Email: tpnam0901@gmail.com
• Phone: (+84) 946-653-380
• Website: https://tpnam0901.github.io/
• Location: Vietnam (VN)
• Profiles: Instagram, Facebook

Work experience

• Aug 2024 - Present: Full-time Researcher
  • Networking Intelligence Laboratory, Dept. of Computer Science and Engineering, Kyung Hee University, Yongin-si, 17104, Republic of Korea
  • Working as a Full-time Researcher at Networking Intelligence Laboratory, focusing on cutting-edge AI research in computer vision and federated learning.
  • Highlights: Computer Vision, Natural Language Processing, Medical image segmentation, Federated Learning
• Oct 2023 - Present: Full-time Researcher
  • AiTA Lab, Dept. of Computing Fundamental, FPT University, Ho Chi Minh City, Vietnam.
  • Working as a Full-time Researcher at AiTA Lab, focusing on advanced AI research in computer vision and natural language processing.
  • Highlights: Computer Vision, Natural Language Processing
• Dec 2021 - Jun 2023: AI Researcher
  • Pythera AI, Ho Chi Minh City, Vietnam
  • Worked as an AI Researcher at Pythera AI, contributing to various research projects in computer vision and natural language processing.
  • Highlights: Computer Vision, Natural Language Processing
• Aug 2021 - Oct 2023: AI Engineer
  • K&G Technology, Ho Chi Minh City, Vietnam
  • Worked as an AI Engineer at K&G Technology, focusing on computer vision projects and developing innovative AI solutions.
  • Highlights: Computer Vision

Education

• Sep 2021 - Dec 2023: Bachelor in Artificial Intelligence
  • FPT University, Ho Chi Minh City, Vietnam
  • GPA: 3.57/4.0
  • Courses: Machine Learning, Deep Learning, Computer Vision, Natural Language Processing

Awards

• Nov 2023: Valedictorian of information technology
  • Awarded by: Valedictorian of information technology
  • https://vnexpress.net/thu-khoa-dau-ra-dh-fpt-nhan-hoc-bong-100-tu-han-quoc-4773178.html
• Oct 2023: Best Paper Award
  • Awarded by: International Conference on ICT Convergence
  • RBBA: ResNet-BERT-Bahdanau Attention for Image Caption Generator Received Best Paper Award at the 14th International Conference on ICT Convergence - ICTC 2023

Publications

Federated learning for medical image analysis: Methods, challenges, and future directions

Thu Thuy Le, Phuong-Nam Tran, Nhat Truong Pham, Balachandran Manavalan, Li Shen, Choong Seon Hong, Duc Ngoc Minh Dang. (2026). "Federated learning for medical image analysis: Methods, challenges, and future directions." Advanced Engineering Informatics, 76, 104976.

Enhancing battery anomaly detection via trend-reversal spectrograms and multi-modal cross-attention

Phuong-Nam Tran, Trung Thanh Pham, Jae-Jo Lee, Eui-Nam Huh, Choong Seon Hong. (2026). "Enhancing battery anomaly detection via trend-reversal spectrograms and multi-modal cross-attention." eTransportation, 30, 100644.

Towards effective multimodal emotion recognition in conversations via joint multi-graph learning and self-distillation

Hoang Khang Trang, Bao Quoc Nguyen, Viet Vinh Khanh Dinh, Nhut Minh Nguyen, Nhat Truong Pham, Phuong-Nam Tran, Phuong Luu Vo, Duc Ngoc Minh Dang. (2026). "Towards effective multimodal emotion recognition in conversations via joint multi-graph learning and self-distillation." Information Sciences, 124138.

Enhancing handwritten mathematical expression recognition with convolutional block attention refinement module and multi-task learning

Thanh Trung Nguyen, Nhut Minh Nguyen, Nam Van Hai Phan, Khoa Minh Nguyen, Trung Thanh Pham, Phuong-Nam Tran, Cuong Tuan Nguyen, Duc Ngoc Minh Dang. (2026). "Enhancing handwritten mathematical expression recognition with convolutional block attention refinement module and multi-task learning." Journal of Information and Telecommunication, 1-33.

A survey on foundation models for personalized federated intelligence

Yu Qiao, Huy Le, Avi Raha, Phuong-Nam Tran, Apurba Adhikary, Mengchun Zhang, Loc X Nguyen, Eui-Nam Huh, Dusit Niyato, Choong Seon Hong. (2026). "A survey on foundation models for personalized federated intelligence." ACM Computing Surveys.

From object difficulty to image scoring: A strategy for active learning in object detection

Duc Tai Phan, Nhut Minh Nguyen, Khang Phuc Nguyen, Phuong-Nam Tran, Nhat Truong Pham, Linh Le, Choong Seon Hong, Duc Ngoc Minh Dang. (2026). "From object difficulty to image scoring: A strategy for active learning in object detection." Knowledge-Based Systems, 115946.

Enhancing multimodal emotion recognition with dynamic fuzzy membership and attention fusion

Nhut Minh Nguyen, Trung Minh Nguyen, Thanh Trung Nguyen, Phuong-Nam Tran, Nhat Truong Pham, Linh Le, Alice Othmani, Abdulmotaleb El Saddik, Duc Ngoc Minh Dang. (2026). "Enhancing multimodal emotion recognition with dynamic fuzzy membership and attention fusion." Engineering Applications of Artificial Intelligence, 165, 113396.

Hybrid Variational Quantum Circuit for Satellite Image Classification

Trung Thanh Pham, Loc X Nguyen, Phuong-Nam Tran, Eui-Nam Huh, Choong Seon Hong. (2026). "Hybrid Variational Quantum Circuit for Satellite Image Classification." 2026 40th International Conference on Information Networking (ICOIN), 776-781.

Multimodal fusion in speech emotion recognition: A comprehensive review of methods and technologies

Nhut Minh Nguyen, Thanh Trung Nguyen, Phuong-Nam Tran, Chee Peng Lim, Nhat Truong Pham, Duc Ngoc Minh Dang. (2026). "Multimodal fusion in speech emotion recognition: A comprehensive review of methods and technologies." Engineering Applications of Artificial Intelligence, 163, 112624.

Federated Semi-Supervised FixMatch: Enhancing CutMix for Medical Image Segmentation

Thu Thuy Le, Nhut Minh Nguyen, Nhat Truong Pham, Phuong-Nam Tran, Nguyen Doan Hieu Nguyen, Phuong Luu Vo, Balachandran Manavalan, Duc Ngoc Minh Dang. (2025). "Federated Semi-Supervised FixMatch: Enhancing CutMix for Medical Image Segmentation." 2025 IEEE International Conference on Big Data (BigData), 3462-3471.

Leveraging Large Language Models for the Bin Packing Problem

Dat K Nguyen, Phuong-Nam Tran, Trung Thanh Pham, Loc X Nguyen, Choong Seon Hong. (2025). "Leveraging Large Language Models for the Bin Packing Problem." Proceedings of the Korean Institute of Information Scientists and Engineers (KIISE) Conference, 399-401.

DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks: A Survey

Yu Qiao, Phuong-Nam Tran, Ji Yoon, Loc Nguyen, Eui-Nam Huh, Dusit (Tao) Niyato, Choong Seon Hong. (2025). "DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks: A Survey." ACM Computing Surveys.

MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion

Mustaqeem Khan^*, Phuong-Nam Tran^*, Nhat Truong Pham^*, Abdulmotaleb El Saddik, Alice Othmani. (2025). "MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion." Scientific Reports, 15, 5473. (^* Equal contribution)

Adaptive Semantic Communication for Multi-User Systems with Non-Uniform Deep Architectures

Loc X Nguyen, Phuong-Nam Tran, Trung Thanh Pham, Eui-Nam Huh, Choong Seon Hong. (2025). "Adaptive Semantic Communication for Multi-User Systems with Non-Uniform Deep Architectures." 2025 25th Asia-Pacific Network Operations and Management Symposium (APNOMS), 1-6.

Mask CoMER: Enhancing Handwritten Mathematical Expression Recognition with Masked Language Pretraining and Regularization

Nam Van Hai Phan, Khoa Minh Nguyen, Trung Thanh Nguyen, Trung Thanh Pham, Phuong-Nam Tran, Duc Ngoc Minh Dang. (2025). "Mask CoMER: Enhancing Handwritten Mathematical Expression Recognition with Masked Language Pretraining and Regularization." International Conference on Document Analysis and Recognition, 375-390.

Overcoming Non-IID Challenges in Federated Learning with Feature Learning

Phuong-Nam Tran, Seong-Bae Park, Choong Seon Hong. (2025). "Overcoming Non-IID Challenges in Federated Learning with Feature Learning." Proceedings of the Korean Institute of Information Scientists and Engineers (KIISE) Conference, 1578-1580.

Enhancing Skin Lesion Classification Performance via Hybrid Quantum-Classical Learning

Trung Thanh Pham, Phuong-Nam Tran, Choong Seon Hong. (2025). "Enhancing Skin Lesion Classification Performance via Hybrid Quantum-Classical Learning." Proceedings of the Korean Institute of Information Scientists and Engineers (KIISE) Conference, 1611-1613.

SwinTExCo: Exemplar-based video colorization using Swin Transformer

Duong Thanh Tran, Nguyen Doan Hieu Nguyen, Trung Thanh Pham, Phuong-Nam Tran, Thuy-Duong Thi Vu, Cuong Tuan Nguyen, Hanh Dang-Ngoc, Duc Ngoc Minh Dang. (2025). "SwinTExCo: Exemplar-based video colorization using Swin Transformer." Expert Systems with Applications, 260, 125437.

Additive angular margin loss for federated learning in image classification

Phuong-Nam Tran, Duc Ngoc Minh Dang, Eui-Nam Huh, Choong Seon Hong. (2025). "Additive angular margin loss for federated learning in image classification." 2025 International Conference on Information Networking (ICOIN), 274-279.

A Distribution-Aware Robust Federated Learning Framework for Mobile Edge Networks

Yu Qiao, Phuong-Nam Tran, Choong Seon Hong. (2025). "A Distribution-Aware Robust Federated Learning Framework for Mobile Edge Networks." 2025 International Conference on Information Networking (ICOIN), 256-261.

QTSeg: A Query Token-Based Dual-Mix Attention Framework with Multi-Level Feature Distribution for Medical Image Segmentation

Phuong-Nam Tran, Nhat Truong Pham, Duc Ngoc Minh Dang, Eui-Nam Huh, Choong Seon Hong. (2024). "QTSeg: A Query Token-Based Dual-Mix Attention Framework with Multi-Level Feature Distribution for Medical Image Segmentation." arXiv preprint arXiv:2412.17241.

Improving Face Attendance Checking System with Ensemble Learning

Duc Tai Phan, Phuong-Nam Tran, Duc Ngoc Minh Dang. (2024). "Improving Face Attendance Checking System with Ensemble Learning." 2024 RIVF International Conference on Computing and Communication Technologies (RIVF), 250-254.

Enhancing Federated Learning Performance for Medical Image Segmentation via Representation Learning

Phuong-Nam Tran, Hyeonsu Kim, Choong Seon Hong. (2024). "Enhancing Federated Learning Performance for Medical Image Segmentation via Representation Learning." Proceedings of the Korean Institute of Information Scientists and Engineers (KIISE) Conference, 794-796.

Towards real-time vietnamese traffic sign recognition on embedded systems

Phuong-Nam Tran, Nhat Truong Pham, Nam Van Hai Phan, Duc Tai Phane, Cuong Tuan Nguyen, Duc Ngoc Minh Dang. (2024). "Towards real-time vietnamese traffic sign recognition on embedded systems." 2024 15th International Conference on Information and Communication Technology Convergence (ICTC), 1-6.

Federated Learning with U-Net for Brain Tumor Segmentation: Impact of Client Numbers and Data Distribution

Thu Thuy Le, Nhat Truong Pham, Phuong-Nam Tran, Duc Ngoc Minh Dang. (2024). "Federated Learning with U-Net for Brain Tumor Segmentation: Impact of Client Numbers and Data Distribution." 2024 15th International Conference on Information and Communication Technology Convergence (ICTC), 2048-2053.

Enhancing speech emotion recognition through knowledge distillation

Trung Minh Nguyen, Phuong-Nam Tran, Duc Ngoc Minh Dang. (2024). "Enhancing speech emotion recognition through knowledge distillation." 2024 15th International Conference on Information and Communication Technology Convergence (ICTC), 197-202.

Vietnamese traffic sign recognition using deep learning

Dinh Thuan Nguyen, Minh Khanh Phan, Phuong-Nam Tran, Duc Ngoc Minh Dang. (2024). "Vietnamese traffic sign recognition using deep learning." Proceedings of the 2024 9th International Conference on Intelligent Information Technology, 30-35.

Innovative multi-modal control for surveillance spider robot: An integration of voice and hand gesture recognition

Dang Khoa Phan, Phuong-Nam Tran, Nhat Truong Pham, Tra Huong Thi Le, Duc Ngoc Minh Dang. (2024). "Innovative multi-modal control for surveillance spider robot: An integration of voice and hand gesture recognition." Proceedings of the 2024 9th International Conference on Intelligent Information Technology, 141-148.

Deep learning-based automated cashier system for bakeries

Nam Van Hai Phan, Tha Thanh Le, Tuan Phu Phan, Thu Thuy Le, Phuong-Nam Tran, Nhat Truong Pham, Duc Ngoc Minh Dang. (2024). "Deep learning-based automated cashier system for bakeries." Proceedings of the 2024 9th International Conference on Intelligent Information Technology, 94-100.

Performance comparison in traffic sign recognition using deep learning

Binh Dang Hai, Huu Duc Nguyen, Thanh Nam Vo, Phuong-Nam Tran, Cuong Tuan Nguyen, Duc Ngoc Minh Dang. (2024). "Performance comparison in traffic sign recognition using deep learning." International Conference on Industrial Networks and Intelligent Systems, 122-138.

MERSA: Multimodal Emotion Recognition with Self-Align Embedding

Quan Bao Le, Kiet Tuan Trinh, Nguyen Dinh Hung Son, Phuong-Nam Tran, Cuong Tuan Nguyen, Duc Ngoc Minh Dang. (2024). "MERSA: Multimodal Emotion Recognition with Self-Align Embedding." 2024 International Conference on Information Networking (ICOIN), 500-505.

Vitexco: Exemplar-based video colorization using vision transformer

Duong Thanh Tran, Nguyen Doan Hieu Nguyen, Trung Thanh Pham, Phuong-Nam Tran, Thuy-Duong Thi Vu, Duc Ngoc Minh Dang. (2023). "Vitexco: Exemplar-based video colorization using vision transformer." 2023 14th International Conference on Information and Communication Technology Convergence (ICTC), 59-64.

RBBA: ResNet-BERT-Bahdanau attention for image caption generator

Duc-Hieu Hoang, Anh-Khoa Tran, Duc Ngoc Minh Dang, Phuong-Nam Tran, Hanh Dang-Ngoc, Cuong Tuan Nguyen. (2023). "RBBA: ResNet-BERT-Bahdanau attention for image caption generator." 2023 14th International Conference on Information and Communication Technology Convergence (ICTC), 430-435.

Comparative analysis of multi-loss functions for enhanced multi-modal speech emotion recognition

Phuong-Nam Tran, Thuy-Duong Thi Vu, Nhat Truong Pham, Hanh Dang-Ngoc, Duc Ngoc Minh Dang. (2023). "Comparative analysis of multi-loss functions for enhanced multi-modal speech emotion recognition." 2023 14th International Conference on Information and Communication Technology Convergence (ICTC), 425-429.

Multi-modal speech emotion recognition: Improving accuracy through fusion of vggish and bert features with multi-head attention

Phuong-Nam Tran, Thuy-Duong Thi Vu, Duc Ngoc Minh Dang, Nhat Truong Pham, Anh-Khoa Tran. (2023). "Multi-modal speech emotion recognition: Improving accuracy through fusion of vggish and bert features with multi-head attention." International Conference on Industrial Networks and Intelligent Systems, 148-158.

References

• Professor Choong Seon Hong
  • Professor at Kyung Hee University, Republic of Korea. Contact: http://networking.khu.ac.kr
• Professor Dang Ngoc Minh Duc
  • Professor at FPT University, Vietnam. Contact: https://dnmduc.github.io/