Khoi NGUYEN TIET NGUYEN



Project Officer
LinkedIn: www.linkedin.com/in/khointn/
Homepage: https://khointn.github.io/
Education

Bachelor of Science in Computer Science, VinUniversity, Vietnam 
Minor: Finance

Biography

Khoi is a data scientist and AI researcher with research interests in Robust Agentic AI, Hierarchical Reasoning, Language Models (LMs), and Reliable AI Systems. With experience spans across academia and industry, he is interested in developing intelligent systems that are robust and practically applicable in real-world setting.

Previously, Khoi worked as a Data Scientist at Cốc Cốc, the only Vietnamese search engine and browse with 600 million monthly search traffic, where he developed machine learning models and optimized product features serving 30 million users.

Khoi was also a Research Intern at A*STAR, Singapore under the Singapore International Pre-Graduate Award (SIPGA), where he conducted research on adversarial robustness. In addition, Khoi worked as a Research Assistant at VinUniversity, focusing on scene understanding and language models for resource-constrained environments.

​​Academic & Professional Experience

Professional Experience

  • Data Scientist, Coc Coc Browser & Search, Vietnam [2024-2025]
  • Research Assistant, VinUniversity, Vietnam [2022-2024]
  • Research Intern, Singapore International Pre-graduate Award (SIPGA), A*STAR, Singapore [2024]
  • Data Scientist Intern, Coc Coc Browser & Search, Vietnam [2022]

 Research Activity

  • Reviewer, IEEE ICRA 2026
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Leadership & Community

  • Facilitator Volunteer, Google Developers Group [2024-2025]
  • Co-Founder & Vice President, VinMaker Student Engineering Club [2020-2022]

 

​​​​​Research Interest
  • Robust Agentic AI
  • Hierarchical Reasoning
  • Language Models (LMs)
  • Reliable AI Systems
  • Embodied AI

 

Publication

Full list of publications can be accessed at https://scholar.google.com/citations?user=a-W86AcAAAAJ&hl=en 

  • Quang Pham, Khoi Nguyen, Lan Ngo, Truong Do, Dezhen Song, Son Hy, TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding, Transactions on Machine Learning Research (TMLR), 2025
  • Khoi Nguyen, Wenyu Zhang, Kangkang Lu, Yu-Huan Wu, Xingjian Zheng, Hui Li Tan, Survey and Evaluation of Adversarial Attacks for Object Detection, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025
  • Quang Pham, Khoi Nguyen, Lan Ngo, Truong Do, Son Hy, ESGNN: Towards Equivariant Scene Graph Neural Networks for 3D Scene Understanding, Late Breaking Report, IEEE ROMAN, 2024