The Feature Factory logo The Feature Factory Undergraduate ML Research Lab

Lab Activity

News, posters, and publications

Aleem Azhar & Golam Hisham

"Generative Residual Learning for Noise Resilient Time-Series Forecasting"

Article Poster
Aleem presenting his work
Aleem and Hisham presenting their poster at Symposium of Data Science and Statistics (SDSS) April 2026, Milwaukee, WI.
Aleem and Hisham with their poster
Aleem and Hisham presenting their work at Mississippi Alabama Chapter Conference March 2026, Oxford, MS.
Aleem and Hisham presenting their work
Aleem presenting their work at Symposium of Data Science and Statistics (SDSS) April 2026, Milwaukee, WI.

Featured in SciPaperMill Research Digest

Our recent work, “On the Reliability of Generative Augmentation: A Wasserstein-Based Theoretical and Empirical Study” , was featured in SciPaperMill’s latest research digest, “Class Imbalance: Navigating the Imbalanced Landscape of Modern AI/ML.”

The feature highlights ongoing research from The Feature Factory on reliable generative augmentation, class imbalance, and Wasserstein-based evaluation of synthetic data.

Read the Research Digest

Mallory Goldstein

"Conditional Generative Augmentation for Imbalanced Classification: Theory and Empirical Validation"

Article Poster
Mallory presenting her work
Mallory presenting her work at The Rhodes Symposium 2026 Spring.
Mallory at Rhodes Symposium
Mallory at The Rhodes Symposium 2026 Spring.

Sambhavi Lohani

"Evaluating The Effectiveness of Classification Algorithms to Predict The Presence of Breast Cancer"

Article Poster
Sambhavi presenting her work
Sambhavi presenting her work at The Rhodes Symposium 2024 Spring.