I am a Research Engineer at VNPT AI and a Research Assistant at the Applied AI Lab, Phenikaa University, working with Dr. Luong Van Thien and Dr. Mai Xuan Trang.
I study how foundation and agentic models reason over multimodal, temporal, and structured evidence. My work connects multi-agent language systems, knowledge graphs, and patient representation learning, with healthcare as a primary application domain.
Seeking PhD opportunities · Spring / Fall 2027
Foundation models · Agentic systems · Multimodal & structured reasoning · AI for healthcare
Research portfolio · Publications · Get in touch
| Research direction | Problem → approach |
|---|---|
| Agentic reasoning | Evidence is distributed across documents → coordinate specialized agents with structured knowledge. |
| Patient representations | Clinical evidence is heterogeneous and incomplete → preserve relations and select patient-relevant information. |
| Medical report generation | Complementary imaging evidence can be lost → study evidence-preserving fusion and report generation. |
| Work & role | Method · paper · code |
|---|---|
| MoA-MDS Neural Computing and Applications, 2026 First author |
Training-free coordination of extraction, knowledge-graph reasoning, and abstraction; evaluated on English and Vietnamese summarization benchmarks. Paper - Code |
Current studies · patient modeling & medical report generation
My ongoing work investigates multi-component patient representations, patient-context-informed knowledge selection, cross-view MRI fusion, and multi-hypothesis 3D CT report generation. These are presented as current studies / preprints, separately from published and accepted work.
Patient modeling & clinical reasoning · Medical vision–language generation
I work across problem formulation, method implementation, experimental evaluation, and research communication. My engineering experience includes multi-agent RAG, clinical-data pipelines, and self-hosted model serving—connecting research questions to systems that can be evaluated and improved.
Core toolkit: Python · PyTorch · Transformers · Knowledge graphs · Retrieval & agent orchestration · SQL · LaTeX
Experience & background · Research notes
Activity across projects · Calendar data & commit/PR breakdown
Languages & my project organizations · compact overview
Open to research collaborations on agentic reasoning, multimodal learning, and healthcare AI.
Let's connect →