Tuan-Cuong Vuong

Objective

Seeking a PhD postion to further explore cutting-edge AI techniques.

Joint Embedding Predictive Architecture (JEPA): Designing and evaluating JEPA-based models to learn compressed, predictive representations across language, vision, and structured data
Agentic AI & AGI: Architecting multi-agent frameworks that collaborate, adapt, and learn to solve complex tasks autonomously.
Scalability & Security of LLMs: Quantization, self-hosting, and DevOps pipelines for private, low-latency, and cost-effective inference at scale.

Vuong Tuan-Cuong, Trang Xuan Mai, Van Luong Thien. (2025). Task-Free Mixture of Agents for Multi-Document Summarization Leveraging LLMs and Knowledge Graphs. Neural Computing and Applications (Submitted).
Ngo Vu-Duc, Vuong Tuan-Cuong, Van Luong Thien, Tran Hung. (2023). Machine learning-based intrusion detection: feature selection versus feature extraction. Cluster Computing, pp. 1-15. Springer.

Vuong Tuan-Cuong, Cong Chi Nguyen, Pham Van-Cuong, Le Thi-Thanh-Huyen, Tran Xuan-Nam, Luong Thien Van. (2024). Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach. Manuscript accepted for publication in 2024 International Symposium on Nonlinear Theory and Its Applications, pp. 798-804.
Vuong Tuan-Cuong, Trang Mai Xuan, Luong Thien Van. (2024). BERT-VBD: Vietnamese Multi-Document Summarization Framework. In CITA 2024: The 13th Conference on Information Technology and its Applications, pp. 1798-1804.
Vuong Tuan-Cuong, Tran Hung, Trang Mai Xuan, Ngo Vu-Duc, Luong Thien Van. (2022). A Comparison of Feature Selection and Feature Extraction in Network Intrusion Detection Systems. In 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1798-1804.

Nominee for Student Best Paper Awards in CITA2024
Viet Nam Informatics Olympiad consolation prize 2023
JASSO Scholarship for International Students in Japan
Asia Pacific Signal and Information Processing Association Annual Summit and Conference Scholarship

2021 - Present

Focus on Agentic AI, self-supervised representation learning, and predictive architectures for multimodal understanding.
Hands-on experience designing and evaluating multi-agent frameworks in the Multi Document Summarization task.

Dec. 2022 - Feb. 2023

Developed a home-based IoT framework integrating wearable ECG sensors and anomaly-detection agents to detect sudden cardiac arrest in elderly residents.

2024 - Present

Agentic RAG System for Healthcare:
- Designed and deployed a multi-agent Retrieval-Augmented Generation platform at Hanoi University of Medicine & Pharmacy Hospital for literature search and health advisory.
- Delivered 90% accuracy on hospital datasets and 4.0/5 helpfulness rating in pilot user studies.
Enterprise Multi-Agent Collaboration Platform:
- Pilots in multiple departments improved task throughput by 200%.
- Built end-to-end workflow automation using OpenAI-agents, n8n, LangChain, LlamaIndex, and Qdrant.

Student member of Asia-Pacific Signal and Information Processing Conference
Reviewer, AI & Society, Springer
Reviewer, CITA 2025 – Conference on Information Technology and its Applications
Reviewer, KSE 2023 – International Conference on Knowledge and Systems Engineering

Please explore my website to learn more about my publications, presentations, CV, and teaching activities.