The GBS Lab explores how emerging technologies such as Virtual Reality (VR), and intelligent systems powered by Machine Learning (ML) and Large Language Models (LLMs), can enhance education, smart living, and aging experiences.
Learn More
The GBS Lab explores how emerging technologies such as Virtual Reality (VR), and intelligent systems powered by Machine Learning (ML) and Large Language Models (LLMs), can enhance education, smart living, and aging experiences.
Learn MoreBabafemi G. Sorinolu is an Assistant Professor of Computer Science whose research connects Artificial Intelligence, Human-Computer Interaction, and Education. The initials GBS serve as his personal signature and represent the guiding philosophy of our lab, exploring technologies and intelligent systems that enhance human life, learning, and well-being.
Designing immersive environments for learning, therapy, and intergenerational engagement.
Modeling adaptive and intelligent behaviors that respond to human needs and preferences.
Studying how conversational AI can support personalized education and accessible computing.
Exploring intelligent environments that promote independence and well-being for older adults.
Developing interactive tools and data-driven learning systems for 21st-century classrooms.
Understanding how people perceive, trust, and collaborate with intelligent machines.
Exploring the use of LLMs to support personalized learning and formative feedback.
Studying how immersive VR environments support memory, focus, and learning among older adults.
Developing AI models that adapt to daily routines to improve comfort and well-being.
A voice-based assistant powered by LLMs, deployed on a Raspberry Pi, designed to promote reflective learning and reduce student dependency. This project explores ethical integration of AI in education by encouraging deeper, more intentional engagement through voice interactions.
Smarttens Coach is a mobile app using EfficientNet CNN to detect forward head posture and promote healthy smartphone use. Leveraging LIME, the app provides visual explanations to enhance user trust and transparency in AI-driven health recommendations.
This project enhances energy distribution trust using a blockchain-based smart grid integrated with K-Means clustering. It ensures tamper-proof energy usage records and fair billing through transparent data storage and four-pattern usage profiling.