This research line focuses on developing intelligent systems that can perceive, reason, and act autonomously. Projects explore algorithmic design, cognitive architectures, and AI-driven decision-making across scientific and industrial domains.
This line investigates data-driven models and statistical learning methods for pattern recognition, prediction, and knowledge extraction. Researchers in the IE Intelligent Systems Group apply ML to fields like computational biology, neuroscience, and scientific computing.
This line focuses on autonomous systems, human-robot interaction, and intelligent control. Researchers at the IE Intelligent Systems Group integrate different techniques like AI and machine learning to enable adaptive, safe, and efficient robotic behavior in complex environments.
Researchers in the IE Intelligent Systems Group study cryptographic systems, blockchain technologies, and privacy-preserving computation to ensure trustworthy and secure data handling. Efforts include decentralized systems and verifiable AI frameworks.
This line advances high-performance and distributed computing to tackle data- and compute-intensive problems. The focus is on scalable cyber-infrastructure, simulation, and computational modeling for scientific discovery.