Tuan-Cuong Vuong

Tuan-Cuong Vuong

AI Researcher | Research Assistant

Phenikaa University, Vietnam

Seeking a PhD position

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.

Timeline

  • 2025–Present — Research Assistant, Business AI Lab (NEU), Vietnam
  • 2021–Present — Research Assistant, AIoT Lab, Phenikaa University
  • 2016–2020 — B.Sc. in Computer Science, Phenikaa University

Recent Research

Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach

Tuan-Cuong Vuong , Cong Chi Nguyen , Van-Cuong Pham , Thi-Thanh-Huyen Le , Xuan-Nam Tran , Thien Van Luong

The 2024 International Symposium on Nonlinear Theory and Its Applications (NOLTA2024) (2024)

This paper proposes a novel intrusion detection method for unmanned aerial vehicles (UAV) in the presence of recent actual UAV intrusion dataset. In particular, in the first stage of our method, ...

Research Interests

Machine Learning Deep Learning Computer Vision Natural Language Processing AI for Healthcare Explainable AI Reinforcement Learning Multimodal Learning