Machine Learning

Machine learning aims to develop systems that are capable of learning from past experience or adapting to changes in the environment. We investigate a wide spectrum of machine learning topics that include time-series modeling, representation learning, metric learning, domain adaptation, active and  transfer learning, self-supervised learning, neuro-symbolic reasoning, and their applications in biology, medicine, education, physics.

Dr. Xiaowei Jia

Full-time Faculty

Professor and Director, MOMACS
(412) 382-3498
Professor
(412) 624-8845
Assistant Professor
(412) 624-8490
Associate Professor
(412) 624-8852
Assistant Professor

CS GSO Officers

President, CSGSO

Ph.D. Students

Pronouns: she, her, hers
PhD Student
PhD Student
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(412) 983-9715
PhD Student
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(225) 888-5705
Pronouns: she, her, hers
Pronouns: he, him, his
(412) 624-8490
PhD Student
Pronouns: he, him, his
Pronouns: he, him, his
PhD Student
President, CSGSO
PhD Student
Pronouns: he, him, his
PhD Student
Pronouns: he, him, his

Former Faculty

Former Assistant Professor
(412) 624-8490