"From data to decisions, driving intelligent automation"

Applied Decision Intelligence Laboratory (ADI Lab) focuses on AI-driven, autonomous decision-making systems. We bridge the gap between data and intelligent actions by designing systems that make optimal decisions under uncertainty and real-world constraints.

ADI Lab advances decision automation through the integration of AI, edge computing, and large-scale data science. We build lightweight, explainable models that close the loop from sensor streams to on-site action. 

Committed to application-oriented research, we translate AI theories into deployable systems across real-world domains. Our AI-driven decision systems are applied in areas such as:

• Smart manufacturing

• Smart cities

• Healthcare

• Finance

• Retail and marketing

• Energy and utilities 

• Time-series Data Analytics

We develop AI models that capture temporal patterns in sequential data to enable forecasting, anomaly detection, and decision-making in dynamic settings.

• Image & Vision Data Analytics

We leverage computer vision AI techniques to extract insights from image and video data, supporting defect detection, visual inspection, and perception-driven automation.

• Text Mining and Natural Language Understanding 

We apply natural language processing and large language models (LLMs) to extract structured knowledge from text for document analysis, sentiment detection, and dialogue understanding.