Training-Free Mixture of Agents for Multi-Document Summarization Leveraging LLMs and Knowledge Graphs
Neural Computing and Applications (submitted)
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.
Neural Computing and Applications (submitted)
Cluster Computing