Samsung Semiconductor Inc. (SSI)
San Diego, CA, USA
Jan. 2023 - Present
Senior Machine Learning Engineer/Scientist with focus on optimized Image and Video models for samrtphones.
My research interests are in the fields of Computer Vision and Image Processing. Primarily, I am interested in deep learning approaches for inverse image problems, image restoration and analysis (e.g. classification and segmentation).
Working on queuing analysis of LTE-WiFi coexistence technique. The target was to guarantee that the existence of LTE systems has a controlled delay effect on the performance of WiFi systems.
Participants in Spectrum Collaboration Challenge 2 (SC2) organized by Defense Advanced Research Projects Agency (DARPA) in the USA. The target of the competition was to implement a complete cognitive radio system that is capable of transmission without affecting primary users and/or its rivals.
Published a paper in IEEE Wireless Communications and Networking Conference (WCNC) 2017.
visit websiteDeveloped a new approach for relaying with network coding to reduce the number of time slots required for transmission. Published a paper in IEEE Symposium on Computers and Communications (ISCC) 2015.
San Francisco, CA, USA
Jun. 2021 - Dec. 2021
Creating a new dataset for attributes recognition; CAR (Cityscapes Attributes Recognition) to be submitted to NeurIPS 2023 dataset track [arXiv]. Developing a novel deep learning model to predict attributes for various types of objects, published in CVPR 2022 [CVF]. The model is available at and the dataset at .
Mountain View, CA, USA
Feb. 2021 - Apr. 2021
Machine Learning Research Intern
Working on developing an unsupervised method to estimate a depth map for night images with challenging low-light conditions. We filed two patents in this work. The method is utilizing a GAN architecture.
Egypt
2013 - 2016