Our Focus

We are a research laboratory focused on the development of cutting-edge deep learning models for practical imaging and modeling problems. Our team is dedicated to creating AI-powered systems for modeling and forecasting that can be applied to a variety of practical applications. We are also passionate about integrating Explainable AI in real-world decision-making systems to improve transparency and accountability.

Our research focus including: 

1. Development of cutting-edge deep learning models for practical imaging problems: This research area focuses on the creation and refinement of innovative deep learning models specifically designed to address real-world applications such as medical imaging, environmental monitoring, construction site monitoring, and more.

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2. The creation of AI-powered modeling and forecasting systems for practical applications: This research area encompasses the use of artificial intelligence techniques to develop models that address practical challenges and provide tangible solutions across various industries. Examples include smart sensing networks, air pollution forecasting, electric load forecasting, real-time brain-computer interface (BCI) systems, and biomedical instrumentation, and more.

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3. Integration of Explainable AI in real-world decision-making systems: This research area focuses on integrating Explainable Artificial Intelligence (XAI) into decision-making systems across different domains. The goal is to increase the transparency and interpretability of AI models, ensuring their adoption in critical real-world applications. For example, enhancing healthcare decision support systems with explainable AI for more transparent diagnosis and treatment recommendations.