Portrait of Tuan-Cuong Vuong

Tuan-Cuong Vuong

Research Engineer · Research Assistant

Research Engineer · Research Assistant · PhD applicant

Tuan-Cuong Vuong

Research Engineer at VNPT AI · Research Assistant at Phenikaa University

I am a Research Engineer at VNPT AI, working under the guidance of Dr. Luong Van Thien, and a Research Assistant at the Applied AI Lab, Phenikaa University, advised by Dr. Mai Xuan Trang.

My research studies how foundation and agentic models can reason over multimodal, temporal, and structured evidence, with a particular focus on reliable AI for healthcare.

Email me Google Scholar GitHub LinkedIn X

Seeking PhD opportunities for Spring / Fall 2027

Foundation Models · Agentic Systems · Multimodal & Structured Reasoning · AI for Healthcare

Research Engineer · Sep 2026–Present

VNPT AI

Mentored by Dr. Luong Van Thien

Research Assistant · Sep 2023–Present

Applied AI (A2I) Lab · Phenikaa University

Advised by Dr. Mai Xuan Trang

Research agenda

The questions that drive my work

I study how intelligent systems can reason over heterogeneous evidence — including language, images, temporal observations, and structured relations — and apply these capabilities to real-world problems, especially in healthcare.

01

Foundation Models & Agentic Reasoning

How can foundation models reason, collaborate, and use external knowledge or tools effectively without relying solely on task-specific training?

Multi-agent systems · LLMs · Tool use

02

Structured & Multimodal Reasoning

How can models integrate language, images, temporal observations, and structured relations while preserving the information that makes each modality useful?

Multimodal learning · Temporal modeling · Knowledge graphs

03

Reliable AI for Healthcare

How can multimodal reasoning systems remain reliable when clinical evidence is heterogeneous, sparse, longitudinal, and high-stakes?

Clinical prediction · Medical imaging · Vision-language

Publications

11 research works

Peer-reviewed publications and public preprints, spanning agentic language systems, network security, and structured multimodal healthcare AI.

View all on /publications →
Published Neural Computing and Applications · 2026

A training-free mixture-of-agents framework for multi-document summarization using LLMs and knowledge graphs

Tuan-Cuong Vuong, Trang Xuan Mai, Tien-Cuong Nguyen, Vu-Duc Ngo, Thien Van Luong

Part of: Agentic Language Reasoning
Paper PDF Code
Preprint Preprint · 2026

MCPL: Learning Multi-Component Patient Representations from Multimodal ICU Records for Early Clinical Outcome Prediction

Tuan-Cuong Vuong, Trang Xuan Mai, Tien-Cuong Nguyen, Trong-Nghia Nguyen, Thien Van Luong

Part of: Structured Multimodal Healthcare
Preprint Preprint · 2026

PIKE: Patient-Context Informed Knowledge Graph Enrichment for ICU Outcome Prediction

Tuan-Cuong Vuong, Trang Xuan Mai, Son Thai Mai, Duong Tung Ta, Vu-Duc Ngo, Tien-Cuong Nguyen, Huan Vu, Thien Van Luong

Part of: Structured Multimodal Healthcare
Accepted The 15th Conference on Information Technology and its Applications (CITA 2026) · 2026

HERMES: Contrast-Aware Knowledge Graph Reasoning from Clinical Notes for Patient Outcome Prediction

Gia-Bach Nguyen, Tuan-Cuong Vuong, Trang Xuan Mai, Duy Quoc Ngo, Tien-Cuong Nguyen, Huan Vu, Thien Luong Van

Part of: Structured Multimodal Healthcare
PDF Code
Preprint Preprint · 2026

GateSPINE: Gated Cross-View Fusion for Lumbar Spine MRI Report Generation

Hoang Nguyen Van, Tuan-Cuong Vuong, Trang Mai Xuan, Bien Tran Van, Van-Dem Pham, Thien Luong Van

Part of: Structured Multimodal Healthcare

Research programs

Research Projects

My publications are organized into research programs that each trace a coherent line of inquiry, rather than a flat list of unrelated papers.

View all projects →
Evolution of traffic representation across this research line: from feature reduction to learned latent representations and semantic representations for pretrained language models.

Network Intrusion Detection

How network traffic should be represented for efficient, data-efficient intrusion detection.

4 papers · 2022 — Present View
Multiple source documents are selected, related, and synthesized into a grounded summary.

Agentic Language Reasoning

Multi-agent systems for multi-source summarization and knowledge-grounded reasoning.

2 papers · 2024 — Present View
Heterogeneous clinical evidence branches into patient representation and clinical reasoning on one side, and medical vision-language generation on the other.

Structured Multimodal Healthcare

Structured patient representations and evidence-aware medical report generation.

5 papers · 2024 — Present View

Background

Currently

I am currently working on research problems involving reasoning and coordination in foundation / agentic AI systems; multimodal and relational representation learning for clinical data; knowledge-grounded medical vision-language models; and structured generation from 3D medical imaging. I graduated with a B.S. in Computer Science from Phenikaa University, Vietnam, in 2025, where my early research explored network intrusion detection and Vietnamese multi-document summarization before developing into my current research agenda.

View full experience →

Recent updates

Research milestones

Selected publications, acceptances, and research releases.

Jun 2026

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).

April 2026

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

PhD opportunities · Research collaboration

I am looking to work with groups advancing foundation models, agentic systems, and multimodal reasoning.

Start a conversation