About Me
I am a PhD student in the Image and Video Computing (IVC) Group at Boston University. I am fortunate to be advised by Professor Kate Saenko and Professor Bryan A. Plummer. I am broadly interested in deep representation learning that is robust against bias and spurious correlations. My hope is to improve the tools for both understanding and mitigating deep learning models' pitfalls.
Outside research, I enjoy road biking, cooking, and photography. You can check out some of the Boston moments captured by my camera here.
Publications
- Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
- Bridging the gap: Machine learning to resolve improperly modeled dynamics
- Maan Qraitem, Dhanushka Kularatne, Eric Forgoston, M. Ani Hsieh
- Physica D: Nonlinear Phenomena [arxiv]
- Real-Time Physics-Based Removal of Shadows and Shading From Road Surfaces
- Bruce A. Maxwell, Casey A. Smith, Maan Qraitem, Ross Messing, Spencer Whitt, Nicolas Thien, Richard M. Friedhoff
- CVPR 19, Workshop on Autonomous Driving [PDF]
- Circadian oscillations persist in low malignancy breast cancer cells
- Sujeewa S Lellupitiyage Don, Hui-Hsien Lin, Jessica J Furtado, Maan Qraitem, Stephanie R Taylor, Michelle E Farkas
- Cell Cycle [PDF]
Teaching
- CS 542 Machine Learning [Spring 2022, Boston University]
- CS 542 Machine Learning [Spring 2021, Boston University]
- CS 108 Introduction to Applications Programming [Fall 2020, Boston University]