Welcome to AI LAB
Shaping the future of intelligent technology
We are a premier university research hub pushing the boundaries of artificial intelligence. Our team solves complex, real-world problems by advancing how machines see, learn, and communicate.
About Us
Who We Are
AI Lab is a cutting-edge space where students, faculty, researchers, and industry leaders collaborate to solve real-world challenges and shape the future of technology. The JCU AI Lab empowers students to explore groundbreaking innovations in healthcare, robotics, remote sensing, wide area surveillance, and beyond. Our laboratory supports scientific research, student projects, academic publications, workshops, and cooperation with universities and industry.
Our Mission
To advance artificial intelligence research, student success, and workforce readiness while preparing students to shape the future of intelligent technology.
Our Team
Lab Director
Student Researchers
Research Areas
Our Main Research Fields
Artificial Intelligence &
Machine Learning
Intelligent algorithms, predictive modeling, optimization, and adaptive AI systems.
Brain-Computer Interface
EEG signal processing, NeuroAI, brain-controlled assistive systems, and cognitive computing.
Extended Reality (AR/VR)
Immersive computing, rehabilitation, education, and human-centered interaction.
Robotics & Autonomous Systems
Intelligent robotics, autonomous navigation, perception, sensing, and human-robot interaction.
Computer Vision
Human pose estimation, facial expression analysis, medical imaging, image understanding, and visual analytics.
AI-Enhanced Education & Responsible AI
AI-enhanced learning, analytics, and responsible AI practices.
Projects
Current Projects
| Project | Research Area | Description | Status |
|---|---|---|---|
| Brain-Controlled Robotics | Brain–Computer Interfaces (BCI), Robotics, Artificial Intelligence, Machine Learning, Biomedical Signal Processing | This project investigates AI-driven brain–computer interface technologies that enable users to control intelligent robotic systems using non-invasive EEG signals. Research focuses on decoding brain activity for real-time control of drones, mobile robots, robotic manipulators, and other autonomous platforms, advancing human–robot interaction and assistive robotics. | Active |
| Immersive AR Technology | Extended Reality (AR/VR), Computer Vision, Artificial Intelligence, Human–Computer Interaction | This project develops AI-powered augmented reality technologies that combine computer vision, spatial computing, and real-time interaction to create immersive and intelligent experiences. Research focuses on human pose estimation, mixed reality visualization, and AI-assisted decision support for applications in healthcare, rehabilitation, education, and human-centered computing. | Active |
| AI Agents – Teacher Training Simulator | Artificial Intelligence, Intelligent Agents, Natural Language Processing, Educational Technology, Learning Analytics | This project develops an AI Agent-Based Virtual Classroom Simulator that enables undergraduate and graduate education students to interact with realistic virtual K–12 learners exhibiting diverse academic abilities, personalities, learning styles, emotional states, and classroom behaviors. The simulator serves as a virtual teaching laboratory where pre-service and in-service teachers can safely practice instructional strategies, classroom management, questioning techniques, differentiation, and intervention approaches through interactions with multiple AI-powered student agents. | Active |
| Vision Guided Robotics | Robotics, Computer Vision, Artificial Intelligence, Machine Learning, Autonomous Systems | This project develops intelligent robotic systems that integrate computer vision and artificial intelligence to perceive, understand, and interact with their environments. Research focuses on vision-guided navigation, object detection and tracking, autonomous decision-making, and human–robot collaboration for applications in assistive robotics, industrial automation, autonomous drones, and smart robotic platforms. | Active |
| AI-Based Facial Expression Recognition | Computer Vision, Artificial Intelligence, Machine Learning, Deep Learning, Affective Computing | This project investigates AI-based techniques for recognizing and analyzing human facial expressions. Research focuses on computer vision and deep learning methods for facial expression recognition, emotion-related analysis, and real-time intelligent systems, with applications in human–computer interaction, education, healthcare, and other human-centered computing environments. | Active |
Opportunities
Join Our Lab
Are you a passionate student or researcher looking to push the boundaries of AI? We are always looking for driven minds and forward-thinking partners to join our breakthrough projects.
How to Get Involved
Undergraduate Projects
Gain hands-on experience through:
- Summer fellowships
- Seasonal research credits
- Enjoying your spare time
Industry Partnerships
Collaborate with us on:
- Applied AI research
- Innovative technologies
- Real-world industry challenges
Contact
Get in Touch
For research cooperation, student projects, academic visits, or general inquiries, please contact AI Lab.
- aessa@jcu.edu
- E 231
- Dolan Science Center, John Carroll University
- 216-397-4254