About Me

I am a PhD student in the Visual Computing Group in the School of Engineering and Applied Sciences at Harvard. I am advised by Prof. Hanspeter Pfister.

I received my B.S., M.S. from Santa Clara University, advised by Prof. Behnam Dezfouli.

My research background is in computer vision and machine learning.

Currently, I am working on machine learning problems related to interpretability, adversarial robustness, and image super-resolution in a variety of application domains.

Publications

• Texture Based Error Analysis of Image Super-Resolution. Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister. Conference on Computer Vision and Pattern Recognition (CVPR) 2022 [Paper] [Project]

• Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-ResolutionSalma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, Hanspeter Pfister International Conference on Computer Vision (ICCV) 2021[Paper] [Project]

• Channel Embedding for Informative Protein Identification from Highly Multiplexed Images Salma Abdel Magid, Won-Dong Jang, Denis Schapiro, Donglai Wei, James Tompkin, Peter Sorger, Hanspeter Pfister International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020 [Paper] [Project]

• Image Classification on IoT Edge Devices: Profiling and ModelingSalma Abdel Magid, Francesco Petrini, Behnam Dezfouli Springer Cluster Computing Journal, 2019 [Paper]

Awards & Honors

• Harvard Graduate School of Arts and Sciences Prize Fellowship, Cambridge, MA

• Medical Image Computing and Computer Assisted Intervention (MICCAI) National Institutes of Health (NIH) Award

Teaching

• Teaching Fellow, Elements of Data Science, Department of Computer Science, Harvard University Spring 2019

• Teaching Fellow, Elements of Data Science, Department of Computer Science, Harvard University Spring 2020