Graduate Program Director and Professor
Rochester Institute of Technology
I received my Ph.D. from the Department of Computer Science at Virginia Tech, Blacksburg, VA, M.E from National University of Singapore, Singapore, and B.S from Zhejiang University, Hangzhou, China. For more details check my CV.
Minxun Zheng(Started in Fall 2017)
Minxun has a bachelors degree in economics and a masters degree in information science and tech. His research areas include Bayesian nonparametric, dynamic data modeling, and multimodal data fusion.
Hitesh completed his Bachelor degree in Electronics and Communication Engineering from Pulchowk Campus, Tribhuvan University, Nepal. Hitesh's research focuses on weakly supervised learning for anomaly detection through robust learning and uncertainty quantification.
Krishna Prasad Neupane(Started in Fall 2017)
Krishna did his Bachelor of Engineering in Electronics and Communication and Master of Science in Computer Engineering from Tribhuvan University. His research focuses on meta-learning and learning from sparse user interactions with applications in recommender systems and human behavioral analysis.
Yuansheng Zhu (Started in Fall 2019)
Yuansheng received his bachelor degree in automation at Northwestern Polytechnical University in 2017, and master degree in Electrical Engineering at the University of Pittsburgh in 2019 respectively. His research generally lies in Machine learning and Computer Vision with applications to different fields, such as medical diagnosis and anomaly detection.
Dayou Yu (Started in Fall 2019)
Dayou received his Bachelor degree in Physics from University of Science and Technology of China. His interest now lies in the field of machine learning and data mining, especially active learning and related topics.
Xiaofan Que (Started in Fall 2019)
Xiaofan received her B.Eng and M.Eng in Computer Science from University of Electronic Science and Technology of China, Chengdu, China. Her research interest focuses on robust meta-curriculum learning from noisy few-shot tasks.
Deep completed his Bachelor degree in Electronics and Communication Engineering from Pulchowk Campus, Tribhuvan University, Nepal. His research interests lie in the areas of uncertainty quantification in deep learning and meta-learning.
Wentao Bao (co-advised with Dr. Yu Kong) (Started in Fall 2019)
Wentao received the B. Eng. degree and M. Eng. Degree in photogrammetry and remote sensing from Wuhan University, Wuhan, China, in 2012 and 2016, respectively. He is currently a Ph.D. candidate with the Computing and Information Sciences, Rochester Institute of Technology, New York, United States. His current research interests include computer vision and machine learning.
Dingrong Wang (Started in Fall 2020)
Dingrong received his Bachelor degree in Software Engineering from Dalian University of Technology, Dalian, China. His research interest now lies in the areas of reinforcement learning and its applications in computer vision.
Mahsa received her B.S. degree in software engineering from Sharif University of Technology, Tehran, Iran, and her M.Sc. degree in Electrical Engineering from University of South Florida, Tampa, FL. Her research interests include Multilinear Methods, Multimodal Machine Learning, Bayesian Inference, and Deep Learning with applications in computer vision, and tensor analysis.
Spandan Pyakurel(Started in Fall 2022)
Spandan received her bachelor degree in Computer Engineering from Pulchowk Campus, Tribhuvan University, Nepal. Her research interest lies in the areas of machine learning and AI with a special focus on uncertainty analysis and novelty detection.