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Dr. Yijun Zhao
Associate Professor Director of the MS in Data Science (MSDS) Program Co-director of the Dual MS in Data Science and MA in Economics Program Co-director of the Joint MS in Data Science and Quantitative Economics Program Computer and Information Sciences Department Fordham University |
Ph.D. Advising
- Eric Roginek, In Progress
Masters and Honors Theses Advising
- Qingyang Guo, MS thesis, “Evaluating Large Language Models for Automated Grading: A Comparative Study of GPT and Llama in Mathematical and Data Mining Assessments”, 2025
- Brent Young, MS thesis, “Change Point Detection via Hierachical Dirichlet Process Hidden Markov Model with Topological emissions”, 2024
- Yanchi Liu, MS thesis, “Enhancing Professional Communication Through AI-Powered Refinement of Video Content”, 2024
- Haoran Xue, MS thesis, “Exploration of LLMs in Medical Q&A and Domain Adaptation”, 2024
- Man Qin, MS thesis, “A New Approach to Predict Lupus Flare Level Using Calibrated Ensemble”, 2021
- Tong Wang, MS thesis, “Deep Learning Approaches for Deblurring Motion-affected Brain MRI Scans”, 2020
- Hui Yuan, MS thesis, “Predicting Head Motions During Brain MRI Scans Using Deep Learning Models”, 2020
- Michael Tynes, MS thesis, “Tensor Factorization for Recommending Perovskite Crystallization Trials”, 2020
- Sarah Bai, Honors thesis, “Exploration of machine learning methods in venture capital decision support based on balanced scorecards”, 2020
- Matias Bartolome Berretta Magarinos, MS thesis, “GRU-DF: An RNN Model with Dynamic Imputation for Missing Values in Multivariate Time Series”, 2019
- Stephen Lebak, Honors thesis, “Deep Convolutional Autoencoder for Recovering Defocused License Plates and Smudged Fingerprints”, 2019
Masters Theses Reader
- Zefan Du, MS thesis, “Quantum Counting in a Distributed System”, 2023
- Yiwen Chen, MS thesis, “A Resource-aware Container Management Scheme in Heterogeneous Cluster”, 2021
- Sam Stein, MS thesis, “Quantum Computing Aided Machine Learning Through Quantum State Fidelity”, 2020
- Yun Song, MS thesis, “Differentiate Containers Scheduling for Deep Learning Applications”, 2020
- Henry Gorelick, MS thesis, “Predicting Hearthstone Games with Combinatorial Fusion”, 2020
- William Charles, MS thesis, “Modeling Childhood Visual Development: The Benefits of Low Resolution Training Data on Category Learning”, 2020
- Tianyi Zhang, MS thesis, “Mining Course Groupings From Student Performance”, 2020
- Tianyu Zhang, MS thesis, “Classifying Cognitive Tasks Based on Brain Activity”, 2020
- Aaron Dharna, MS thesis, “Control and Creation: Coevolution of Game Levels and Gameplaying Agents”, 2020
- Trevor Buteau, MS thesis, “Digging in the wrong place: why asking a computer which emotion a human is feeling is the wrong question, and what the right question might be”, 2019
- Xiaoran Wang, MS thesis, “Improving Portfolio Performance Using Attribute Construction and Combinatorial Fusion”, 2019