group

Dong Hu is a final-year PhD candidate. His research focuses on using Randomized numerical Linear Algebra (RandNLA) to design scalable, cost-effective machine learning models with provable guarantees. He has made research contributions to label complexity reduction, matrix factorization, and tensor decomposition. He is interested in further exploring the potential of these methods in deep learning settings, especially to LLMs and foundation models.

Sharmishtha Dutta is a PhD student. Her research focuses on designing deep learning models for representation learning in knowledge graphs. She has experience in designing ontologies, utilizing NLP tools to create knowledge graphs, and applying ML models to synthesize malware threat intelligence.

Lilian Ngweta is a PhD candidate in the Computer Science Department at RPI. Her research focuses on post-processing techniques for alignment of vision and text foundation models. She received her bachelor’s degree in Software Engineering from Barrett, The Honors College at Arizona State University.

Huzaifa Arif is a third-year PhD student. His primary research focus is on Trustworthy Machine Learning in the federated setting. He has made research contributions to model reprogramming and is currently working on group fairness federated learning and understanding data leakage in foundation models.