|Office:||5427 Sennott Square|
Dr. Seong Jae Hwang received his B.S. in Computer Science from the University of Illinois at Urbana-Champaign in 2011, M.S.E. in Robotics from the University of Pennsylvania in 2013, and Ph.D. in Computer Sciences from the University of Wisconsin-Madison in 2019. He joined the Department of Computer Science in the School of Computing and Information at the University of Pittsburgh in 2019.
His research is focused on developing statistical machine learning and deep neural network methods for analyzing imaging modalities in computer vision, machine learning, and medical imaging. On the technical side, he develops algorithms for cross-sectional and sequential data from small to large scales with statistical machine learning and deep learning models. On the application side, his interests range from neuroscientific discoveries including understanding the pathological progression of Alzheimer’s disease to machine learning/computer vision applications.
- Medical imaging analysis (MRI, PET, DTI) for neurodegenerative disease (e.g., Alzheimer’s disease)
- Computer vision and machine learning applications (e.g., video classification, sequence prediction, uncertainty estimation)
- Deep learning methods (e.g., sequential neural networks, generative models)