Tuan-Cuong Vuong
Research Engineer · Research Assistant
Foundation models / Agentic AI / Multimodal reasoning
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.
Preserve the evidence.
Learn what matters. Reason across sources.
Seeking PhD opportunities for Spring / Fall 2027
Foundation Models · Agentic Systems · Multimodal & Structured Reasoning · AI for Healthcare
Research Assistant · Sep 2023–Present
Applied AI (A2I) Lab · Phenikaa UniversityAdvised by Dr. Mai Xuan Trang
Selected work
Selected publication · First author
A training-free mixture-of-agents framework that combines extraction, knowledge-graph reasoning, and abstraction for multi-document summarization.
Neural Computing and Applications · 2026
Research agenda
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.
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
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
How can multimodal reasoning systems remain reliable when clinical evidence is heterogeneous, sparse, longitudinal, and high-stakes?
Clinical prediction · Medical imaging · Vision-language
Publications
Peer-reviewed publications and public preprints, spanning agentic language systems, network security, and structured multimodal healthcare AI.
Tuan-Cuong Vuong, Trang Xuan Mai, Tien-Cuong Nguyen, Vu-Duc Ngo, Thien Van Luong
Part of: Agentic Language Reasoning
Tuan-Cuong Vuong, Trang Xuan Mai, Tien-Cuong Nguyen, Trong-Nghia Nguyen, Thien Van Luong
Part of: Structured Multimodal Healthcare
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
Hoang Nguyen Van, Tuan-Cuong Vuong, Trang Mai Xuan, Bien Tran Van, Van-Dem Pham, Thien Luong Van
Part of: Structured Multimodal Healthcare
Cong Chi Nguyen, Tuan-Cuong Vuong, Mai Xuan Trang, Huan Vu, Vu-Duc Ngo, Thien Van Luong
Part of: Network Intrusion Detection Tung Duong Ta, Tim Oates, Manas Gaur, Trong-Nghia Nguyen, Tien-Cuong Nguyen, Tuan-Cuong Vuong, Mai Xuan Trang, Thien Van Luong
Part of: Structured Multimodal Healthcare Gia-Bach Nguyen, Hoang-Ha Nguyen, Tuan-Cuong Vuong, Trang Xuan Mai, Duy Quoc Ngo, Tien-Cuong Nguyen, Huan Vu, Thien Van Luong
Part of: Structured Multimodal Healthcare Tuan-Cuong Vuong, Mai Xuan Trang, Luong Van Thien
Part of: Agentic Language Reasoning Tuan-Cuong Vuong, Cong Chi Nguyen, Van-Cuong Pham, Thi-Thanh-Huyen Le, Xuan-Nam Tran, Thien Van Luong
Part of: Network Intrusion Detection Vu-Duc Ngo, Tuan-Cuong Vuong, Thien Van Luong, Hung Tran
Part of: Network Intrusion Detection Tuan-Cuong Vuong, Hung Tran, Mai Xuan Trang, Vu-Duc Ngo, Thien Van Luong
Part of: Network Intrusion DetectionResearch programs
My publications are organized into research programs that each trace a coherent line of inquiry, rather than a flat list of unrelated papers.
How network traffic should be represented for efficient, data-efficient intrusion detection.
Multi-agent systems for multi-source summarization and knowledge-grounded reasoning.
Structured patient representations and evidence-aware medical report generation.
Background
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
Selected publications, acceptances, and research releases.
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).
Our paper HERMES (Knowledge Graph Reasoning for Patient Outcome Prediction) was accepted at CITA 2026.
PhD opportunities · Research collaboration