ACTA Lab
Research Areas
Computer Vision
AI technology enabling machines to interpret and understand visual information.
Soft Computing
Developing algorithms inspired by human-like reasoning to solve complex problems.
Machine & Deep Learning
AI methods enabling computers to learn patterns and make predictions.
Energy Forecasting
The use of data analytics and modeling techniques to predict future energy consumption patterns.
Health Informatics
The application of information technology and data science in healthcare to manage, analyze, and leverage health-related information for improved patient care, research, and decision-making.
Decision Support Systems
Computer-based tools and applications that utilize data and analytical models to assist individuals and organizations in making informed and effective decisions.
Explainable AI
Artificial Intelligence systems designed to provide transparent and understandable explanations for their decision-making processes, promoting trust and comprehension in their outcomes.
Computational Methods
Techniques and algorithms used in computer science and mathematics to solve problems through numerical analysis, simulations, and mathematical modeling.