Dr. Felix Hamza-Lup’s main research interest is Human Computer Interaction, Human Perception and Artificial Intelligence. He currently is involved with research and development on multi-modal training and simulation systems in the following areas: medical simulation (laparoscopic surgery), Web3D intelligent deep learning, and thermal energy assessment systems (commercial/residential/military).
Intelligent Tutoring Systems (ITS) and Augmented Reality (AR) provide powerful paradigms for the next generation advanced learning systems. We independently define ITS, AR as well as the merger of these systems into a highly complex Intelligent Augmented Reality Tutoring System.
The combination of the synchronized electrical activity of all the neurons in the brain - brainwaves - can be captured in real-time using Brain-Computer Interfaces (BCIs). Portable and affordable BCIs emerged recently, and have the potential to objectively quantify attention and improve learning.
Dialogue implies listening, then generating a "tailored" response. With the "renaissance" of machine learning, deploying an automated system that "learns" from the learner's data and makes decisions with minimal human intervention, producing intelligent dialogue, becomes a tangible reality.
Haptics, from the Greek word "haptesthai" pertains to the sense of touch. Computer-based haptic technology recreates the sense of touch by applying forces or vibrations to the user's tactile system.