AI Researcher at AIoT Lab (Phenikaa University) and Research Assistant at Business AI Lab (NEU), Vietnam. I am seeking research collaborations and am actively pursuing a PhD position in AI/ML.
My work centers on Generative AI, multimodal learning & data fusion, and agentic multi-agent systems with LLMs. I focus on healthcare and business/economics applications, and on LLM efficiency, reliability, and privacy-aware deployment.
About Me
I am an AI researcher focused on building agentic, reliable, and efficient AI systems. My current interests include Generative AI, multimodal models (text–image–signal–structured data), and multi-agent frameworks powered by LLMs for knowledge-intensive reasoning. I also explore predictive representation learning (JEPA-style objectives) for compact, transferable embeddings.
At AIoT Lab (Phenikaa University), I have designed and deployed multi-agent systems for multi-document summarization, integrating RAG/GraphRAG and knowledge graphs to improve factuality and coverage. At Business AI Lab (NEU), I conduct multimodal AI research for healthcare and business, focusing on data fusion for decision support and trustworthy analytics; I also serve on the core proposal team to help draft research proposals and secure funding.
I value collaboration and open science. I’m looking to work with advisors and teams on agentic LLMs, multimodal fusion, JEPA-style representation learning, and efficient LLM serving (e.g., vLLM, QLoRA/AWQ, KV-cache optimization) with real-world impact in healthcare and business.