Artificial Intelligence and Machine Learning
FACULTY
Christophe Giraud-Carrier
GRADUATE COORDINATOR AND PROFESSOR
Dr. Giraud-Carrier leads the Data Mining Lab at BYU. His research interests include data mining, meta-learning, computational health science, social capital and social media applications, structure-rich data, and incremental learning. As part of the Computational Health Science Research Group, he brings his expertise in data mining to a team whose goal is to survey, predict, and help people communicate about health issues on social media.
Kevin Seppi
PROFESSOR
Dr. Seppi came to teach at BYU after working at IBM and BMC Software. He is a faculty member of the Applied Machine Learning Lab, where he works with students and other faculty on projects such as developing cost-conscious active learning software to process ancient Syriac texts, innovating a clay method for 3D printing, and creating an algorithm that can help robots and humans work together through multi-objective motion planning.
Dan Ventura
ASSOCIATE DEPARTMENT CHAIR
Dr. Ventura's main research interests include neural networks, machine learning, artificial intelligence, evolutionary computation, and computational creativity. With his students, Dr. Ventura created DARCI, a computer program that uses a neural network to evaluate and even create art. They also developed PIERRE, a program that evaluates and creates recipes.
David Wingate
ASSISTANT PROFESSOR
Dr. Wingate researches the intersection of perception, control, and learning. Some of his specific research areas include probabilistic programming, probabilistic modeling, reinforcement learning, dynamical systems modeling, information theory, and manifold learning. In addition, hes pursuing applications in robotics and low-cost medical imaging. Dr. Wingate directs the Perception, Control, and Cognition Lab.
