people

Students, Post-Docs, and Alumni

Current PhD Students
  • Zhengyan Huan, PhD, ECE, Fall 2024 - present
    • Generative Modeling, High Energy Physics
  • Hanling Jiang, PhD, ECE, Spring 2025 - present
    • Large Language Models for Learning Sciences
  • Brendan Mallery, PhD, Math, Fall 2023 - present
    • Optimal Transport for Parsimonious Representation of Data as Measures
Current MS Students
  • Max Shellist (MS thesis), Fall 2024 - present
    • Schrodinger Bridges for Generative Modeling
  • Aleksandre Avaliani (MS Project), Fall 2024 - present
    • Multimodal Contrastive Learning, AI/ML for Pain Score Estimation
Graduate Alumni
  • (2024) Matthew Werenski, PhD (CS), “Optimal Transport Maps: Theory and Applications”.
  • (2024) Ruijie Jiang, Phd (ECE), “Hard Negative Sampling for Contrastive Representation Learning”.
  • (2023) Shoaib Bin Masud, PhD (ECE), “Multivariate Rank-based Statistic using Optimal Transport: Generative Modeling and Change Point Detection”.
  • (2023) Boyang Lyu, PhD (ECE), “Domain Generalization via Representation Learning”, Currently at CogNex.
  • (2022) Kevin Cheng, PhD (ECE), co-advised with Eric Miller, “Analysis of Probabilistic Time-Series That Transition Among Discrete States With Applications of the Wasserstein Distance”, Currently at Takeda.
  • (2017) Zemin Zhang, PhD (ECE), “A Novel Algebraic Framework for Processing Multidimensional Data: Theory and Application”, Currently at Google.
  • (2018) Bo Fan, PhD (ECE), “Exploiting Correlation Structures for Geoscience”, Currently at Motorola.
  • (2018) Wenqi Wang, PhD (ECE), Purdue University, Co-advised with Vaneet Aggarwal, “Multi-dimensional data analytics and deep learning via tensor networks”, Currently at Facebook.
  • (2013) Gregory Ely, ECE (ECE), MS with thesis, “Reduced Complexity Regularization of Geophysical Inverse Problems”. Winner of 2012 NSF GRFP fellowship
  • (2017) Eric Bailey, MS with thesis (CS/Math), “Capturing and evaluating higher order relations in word embeddings using tensor factorization”. Currently at Google.
  • (2018) Charles Colley, MS with thesis (CS/Math),”Algebraic Multigrid for Least Squares Problems on Graphs”.
  • (2019) Ce Zheng, ECE, MS with thesis (ECE), “Reliable Biometric Estimation from Colorimetric Data”.
  • (2020) Ashish Neupane, ECE, MS project (ECE) - “Fast Scanning Strategies for Chemical Species Identification, Supported from Pendar technologies”.
  • (2022) Ahmed Abbasi, ECE, MS project (ECE()) - “Unlabeled sensing and unlabeled distance geometry problems: models, theory, and algorithms”. Jointly advised with Abiy Tassisa (Tufts Math).
  • (2022) Max Mattessich, MS with Thesis (Math), “A Review of Multi-Block Dimensionality Reduction Via Multiple Co-Inertia Analysis”.