Dongfang Liu Headshot

Dongfang Liu

Assistant Professor

Department of Computer Engineering
Kate Gleason College of Engineering

Dongfang Liu

Assistant Professor

Department of Computer Engineering
Kate Gleason College of Engineering

Bio

Dr. Dongfang Liu is an Assistant Professor in the Department of Computer Engineering at the Rochester Institute of Technology (RIT). He earned his Ph.D. degree from Purdue University. In his research, Dr. Liu is focusing on the development of artificial intelligence-based solutions for interdisciplinary research to address challenges that are of societal importance. His current research interests include artificial intelligence (AI), machine learning (ML), deep learning (DL), computer vision (CV), human-computer interaction (HCI), and medical imaging. His publication portfolio includes papers from major conferences in the artificial intelligence and robotics fields, such as CVPR, ICCV, AAAI, IJCAI, WWW, WACV, IROS, and etc. He also serves on the program committee for the American Association for Artificial Intelligence (AAAI) and as an associate editor for the IET Computer Vision.

Currently Teaching

CMPE-679
3 Credits
Deep learning has been revolutionizing the fields of object detection, classification, speech recognition, natural language processing, action recognition, scene understanding, and general pattern recognition. In some cases, results are on par with and even surpass the abilities of humans. Activity in this space is pervasive, ranging from academic institutions to small startups to large corporations. This course emphasizes convolutional neural networks (CNNs) and recurrent neural networks (RNNs), but additionally covers reinforcement learning and generative adversarial networks. In addition to achieving a comprehensive theoretical understanding, students will understand current state-of-the-art methods, and get hands-on experience at training custom models using popular deep learning frameworks.
CMPE-789
3 Credits
Graduate level topics and subject areas that are not among the courses typically offered are provided under the title of Special Topics. Such courses are offered in a normal format; that is, regularly scheduled class sessions with an instructor.
IMGS-890
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.