Who we are?

Intelligent Systems Laboratory is a Research Lab under Vincent Mary School of Science and Technology

Assumption University of Thailand

Research Works

Research works in ISL are classified into 3 main themes: assistants, sensors, and analytics. Within each theme, a number of research projects are continuously handled by each research team. Generally, our research projects are initiated and guided by the demands we learn from our industry partners, with the objectives of deriving solutions that are appropriate for real-world applications, with real-world constraints Consequently, many of the projects are funded by our industrial partners, with many having been commercialised and applied in the real world.

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Smart Assistants

Research works on smart assistants aim to develop an intelligent assistant software to aid human users in managing their activities and resources, as well as collaborating with other human users in the working team. This research area typically deals with the concept of autonomous agents and multi-agent systems, including decision making, planning, and communication. Our works in this theme have been turned into many types of applications, from field operations and reporting to chatbot systems.


Smart Sensors

Projects under smart sensors fall further into 2 subcategories: computer vision and IoT sensing solutions. The former aims to develop a computer vision platform to recognise and identify objects and motions from images or videos, while the latter aims to recognise and identify events from environmental and motion sensors. These had been turned into industry solutions for face and smile detection, factory automation, demographic classification, and smart cooler systems. Software prototypes have also been developed for VR games and immersive technologies.


Smart Analytics

Smart analytics focus on developing intelligent technologies for business intelligence and analytics, applying big data architecture and knowledge discovery techniques to gain insights from large amount of data, from internal databases of large-scale businesses, to online communities such as web forums and social media. Our works on analytics solutions typically focus on improving text processing and natural language processing methods, knowledge representation, and modern pattern analysis and recognition techniques.

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