Building AI that can reason over knowledge.

I am a Research Assistant at Applied AI Lab (Phenikaa University), where I am supervised by Dr. Trang Mai Xuan. I also work closely with Dr. Thien Van Luong at Business AI Lab (National Economics University). My research primarily focuses on AI for Healthcare.

Knowledge GraphsAgentic AIHealthcare AI
Fig. 01 — Research Identity Field
Live Graph + Portrait
Tuan-Cuong Vuong
Machine Learning
Security
Healthcare
NLP
UAV
LLM
Knowledge Graphs
Multimodal Learning
Nodes 08 / Edges 14 / Latent Space
TCV.KG/01
Jun 2026

Three papers submitted: MPSL and ST-Graph in CIKM 2026 and MDEF in ICDM 2026.

May 2026

Our paper on Training-Free MoA for Multi-Document Summarization was accepted by Neural Computing and Applications (Q1, Impact Factor: 4.50, SJR: 1.102).

April 2026

Our paper HERMES (Knowledge Graph Reasoning for Patient Outcome Prediction) was accepted at CITA 2026.

Jan. 2026

Two journal papers submitted: LLM-Powered UAV IDS (Cluster Computing), and PIKE (IEEE TNNLS).

Dec. 2025

Our paper on Training-Free MoA for Multi-Document Summarization was revised and resubmitted to Neural Computing and Applications.

Sep. 2025

Our paper on Training-Free MoA for MDS was submitted to Neural Computing and Applications.

Aug. 2025

Started as Research Assistant at Applied AI Lab, Phenikaa University.

Selected Publications

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Interested in Multi-Agent Systems, LLMs, and AI for Healthcare.

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