APPLIED aI lab@wvu
"Advancing knowledge through learning and unlearning.Where memory meets intelligence."
The Applied AI Lab at West Virginia University explores how intelligent systems can learn, adapt, and reason in ways that are privacy-aware, ethically grounded, and human-centered. Our research spans machine unlearning for privacy-preserving intelligence, cultural heritage analysis through visual AI, knowledge-efficient learning, and assistive technologies that enhance human well-being.
From protecting user data to helping machines selectively forget, and from segmenting ancient Maya art to developing intelligent agents that learn with purpose — our mission is to apply AI meaningfully, ethically, and impactfully across diverse domains.
Designing AI that learns wisely, remembers ethically, and serves responsibly.
The Applied AI Lab
The Applied AI Lab at West Virginia University is focused on developing responsible, adaptive, and human-centered artificial intelligence systems. Our research spans a range of applications including machine unlearning for privacy, cultural heritage AI (such as Maya art segmentation), and assistive technologies for independent living.
While earlier work in the lab centered around gerontechnology and intelligent home environments, our scope has expanded to address foundational challenges in AI, such as how systems should learn, reason, and forget in a trustworthy and ethical manner. We are particularly interested in building intelligent models that not only perform tasks intelligently but also retain meaningful knowledge and discard outdated or sensitive information when necessary.
At West Virginia University, we bring together an interdisciplinary team of computer scientists, engineers, healthcare professionals, and domain experts to tackle these challenges. We continue to use and maintain the RANIA House — a sensor-equipped living lab environment — as a testbed for developing and evaluating assistive AI technologies. It also serves as a Collaboratory, inviting contributions and partnerships from institutions worldwide.
Our mission is to apply AI meaningfully — not just for automation, but to improve quality of life, preserve cultural knowledge, and build systems that align with human values.