Laboratory Directory

Group photo of Qi Yu and students

Lab Director

Headshot of Qi Yu

Qi Yu, PhD

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.

PhD students

Headshot of Yuansheng Zhu

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.

Headshot of Dayou Yu

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.

Headshot of Xiaofan Que

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. 

Headshot of Deep Shankar Pandey

Deep Shankar Pandey (Started in Fall 2019)
https://pandeydeep9.github.io/

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.

Headshot of Wentao Bao

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 Portrait

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.

Mozaffari Portrait

Mahsa Mozaffari (Started in Fall 2022)
https://mahsamozaffari.com

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.

Pyakurel Portrait

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.

PhD Alumni

Dissertation: Active Learning from Knowledge-Rich Data

First employment: Assistant Professor, University of North Texas

Dissertation: Modeling Users Feedback Using Bayesian Methods for Data-Driven Requirements Engineering

First employment: Assistant Professor, University of Jeddah

Dissertation: Domain knowledge representation learning for image understanding


First employment: Applied Researcher in the Amazon Deep Learning Group

Dissertation: Knowledge Integration for Human-In-The-Loop Machine Learning

First employment: Research Scientist at Samsung Research America

Dissertation: Robust Weakly Supervised Learning for Real-World Anomaly Detection

First employment: Applied Scientist at Amazon

Dissertation: Learning to Learn from Sparse User Interactions

First employment: Applied Scientist at Amazon

MS Students

A Low-Cost Warehouse Management Solution for Small Businesses

Comparison of approaches used in Recommender Systems
Davis Jaymes, Classifying Forms of Dementia Through the Use of Machine Learning

Time Series Based Classification on Electroencephalagraphy (EEG) Data: A comparative study

Exploring News Content for Popularity Prediction

Comparison of Supervised & Hybrid Topic Modeling for Extraction, Ranking & Evaluation of Quality Features of Web Services & User Review Sentiment Analysis

Mining Unstuctured Data to Extract Meaningful Keywords for Large-Scale Data Analysis

Use of Social Media in Promoting Democracy Through Political Campaign and Election Monitoring in Nigeria