STGraph-FS: Structural Temporal Graph with Feature Selection for Ethereum Fraud Detection
IEEE Transactions on Artificial Intelligence (Under Review)
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.
I am actively seeking PhD positions in Computer Science, with a focus on Multi-Agent Systems, LLMs, and AI for Healthcare. If you have opportunities or would like to collaborate, please feel free to reach out!
Modeling across text–image–signal–structured data; multimodal fusion and VLMs; predictive representation learning (JEPA-style) for robust, compact, and transferable features.
Designing LLM-driven multi-agent frameworks (coordination, tool-use, planning, self-reflection) to collaboratively solve complex tasks such as multi-document summarization.
RAG and graph-augmented RAG, quantization/distillation (e.g., QLoRA/AWQ), inference optimization (KV-cache, batching), privacy/security for self-hosted deployments.
Healthcare (clinical NLP, EHR/text–image fusion, decision support) and Business (analytics, knowledge management, operations) with measurable impact.
IEEE Transactions on Artificial Intelligence (Under Review)
IEEE Transactions on Neural Networks and Learning Systems (Under Review)
Cluster Computing (Under Review)
CITA 2026 (Under Review)