Ontology-Grounded AI and Digital Twins

Successful applicants will join VinUniversity as Research Assistants / Master’s / PhD students at the VinUni Big Data Research Institute (VIBD), VinUniversity.

📍 Project Information

In increasingly complex and data-rich systems — ranging from urban infrastructure and industrial environments to environmental monitoring — making accurate, timely, and sustainable decisions remains a significant challenge. Data from sensors, simulations, and historical records are often fragmented and difficult to integrate effectively.

This project develops an integrated platform combining artificial intelligence (AI), big data, and digital twin technologies to model and analyze real-world systems in virtual environments. By fusing real-time sensor data with simulation models, the digital twin enables safe experimentation, scenario analysis, and data-driven decision-making under uncertainty.

A key component of the research is the integration of ontology-driven knowledge representation and knowledge graphs to formally capture system structure, physical constraints, and operational logic. In addition, multimodal retrieval approaches and edge AI are leveraged to process and reason over heterogeneous data sources, including sensor streams, time-series data, and simulation outputs. This enables explainable, robust, and trustworthy decision support, while improving system efficiency, resilience, and long-term sustainability.

Research group: Prof. Simon Park (Principle Investigator) | Dr. Do Tho Truong

📍 Research Objectives

The project focuses on the following key objectives:

(i) Develop a digital twin platform integrating sensor data, simulations, and AI for complex systems

(ii) Build ontology and knowledge graph frameworks to represent system structure and operational logic

(iii) Apply multimodal retrieval (RAG) techniques to enable reasoning across heterogeneous data sources

(iv) Integrate edge AI for real-time data processing and adaptive system responses

(v) Develop decision-support tools that enhance sustainability, resilience, and operational efficiency

Through these efforts, the project aims to advance explainable and trustworthy AI systems for real-world, data-intensive environments.

📍 Project Contact 

For further information, please contact Prof. Simon Park via email [email protected]

Graduate Admissions Contact 

• VinUni Graduate Admissions
•  0978 549 846
• [email protected]

Apply now: https://apply.vinuni.edu.vn/graduate/s/login/ 

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