Tuan-Cuong Vuong · AI Researcher
Open to PhD Opportunities · 2026
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.
Objective
Seeking a PhD position in Computer Science to advance research in foundation models, agentic intelligence, multimodal reasoning, and trustworthy machine learning for healthcare, biomedicine, and other high-impact domains.
News
PIKE framework was submitted to AAAI 2027.
Our paper on Training-Free MoA for Multi-Document Summarization was published by Neural Computing and Applications (Q1, Impact Factor: 4.50, SJR: 1.102).
Three papers submitted: MPSL and ST-Graph in CIKM 2026 and MDEF in ICDM 2026.
Our paper HERMES (Knowledge Graph Reasoning for Patient Outcome Prediction) was accepted at CITA 2026.
Two journal papers submitted: LLM-Powered UAV IDS (Cluster Computing)
Our paper on Training-Free MoA for Multi-Document Summarization was revised and resubmitted to Neural Computing and Applications.
Our paper on Training-Free MoA for MDS was submitted to Neural Computing and Applications.
Started as Research Assistant at Applied AI Lab, Phenikaa University.
Research Focus
Tuan-Cuong Vuong, Trang Xuan Mai, Son Thai Mai, Duong Tung Ta, Vu-Duc Ngo, Tien-Cuong Nguyen, Huan Vu, Thien Van Luong
Preprint · 2027
Tuan-Cuong Vuong, Trang Xuan Mai, Tien-Cuong Nguyen, Vu-Duc Ngo, Thien Van Luong
Neural Computing and Applications · 2026
Tuan-Cuong Vuong, Trang Xuan Mai, Tien-Cuong Nguyen, Trong-Nghia Nguyen, Thien Van Luong
Preprint · 2026