Mission

Our mission is to advance the field of artificial intelligence and intelligent systems through innovative research, interdisciplinary collaboration, and real-world applications. We strive to foster academic excellence and contribute to the development of intelligent technologies for society.

Summary

Intelligent systems are a science field that deals with intelligent behavior, learning, and adaptation in machines for constructing systems based on artificial intelligence. This includes sensing, actuation, and control to analyze situations and make decisions in a predictive or adaptive manner, performing intelligent actions. Applications span control, planning, scheduling, diagnostics, handwriting, speech, and facial recognition, as well as strategy games and software solutions.

Achievements

• Published over 50 papers in ISI/Scopus-indexed journals and international conferences
• Developed AI-powered medical imaging solutions adopted by local hospitals
• Collaborated with industry partners on robotics and automation projects
• Received multiple research grants from national and international organizations

Research Interests

• Medical image processing, pattern recognition, visual odometry, localization, laser range finding, and vision-based robotics
• Intelligent healthcare systems, human-machine interaction, intelligent security surveillance systems, autonomous vehicles
• Machine learning: Deep neural networks, convolutional neural networks, transformer learning, large vision models (LVMs), SVM, Adaboost, compact learning models, hybrid models, random forest, conditional random fields

Research Areas

• Industrial robotics and autonomous vehicles
• Surveillance and security systems
• Industrial inspection and automation
• Medical image analysis and healthcare systems
• Human-computer interaction
• Machine learning and deep learning
• Computer vision and pattern recognition

Computer vision

Computer vision is concerned with the theory and technology for building artificial systems that obtain information from images or multi-dimensional data. It is the scientific investigation of artificial systems for perception from sensory signals, enabling intelligent decision-making.