Khushbu Pahwa

I’m Khushbu Pahwa, a recent Masters in Electrical & Computer Engineering Graduate from University of California, Los Angeles.

My research interests include efficient and trustworthy machine learning for foundation models, with special interest towards healthcare applications. I am broadly interested in the domain of Multi-Modal Learning, Robust Deep Learning, and Trustworthy AI

During my time at UCLA, I was fortunate to engage in challenging research projects at UCLA with Dr. Abeer Alwan (Depression detection from speech while preserving speaker identity - [ Privacy Preserving ML ] ), Dr Dan Ruan (fast and learnable measurement-conditioned undersampled MR image reconstruction using Diffusion models [ Efficient Foundation Model Research using Diffusion Models]), Dr. Nader Sehatbaksh (comprehensively evaluating the adversarial robustness of tiny ML models - [ Neural Architecture Search Framework for adversarially robust Tiny-ML Models ] ); and with Dr. Cho-Jui Hsieh (developing computationally efficient gradient based white-box adversarial attack against text transformers). During the summer of 2022, I interned at Amazon as an Applied Scientist Intern in the AWS Machine Learning Solutions Lab.

Additionally, I have had an incredible opportunity to engage in research works with Prof. Pengtao Xie (UCSD) , Prof. Amitava Das (AI Institute at UoSC) , Prof. Sourav Medya (UIC) , and Dr. Manish Gupta (Microsoft R&D) .

Previously, I received my bachelor’s degree in Delhi Technological University, where I was awarded the Vice Chancellor Gold Medal for academic and research excellence.

Contact me at: khushbu16pahwa@g.ucla.edu .