Jan 2022 - Aug 2022

Computer Vision Researcher @ Center of Machine Vision

Build and trained attention-based classifiers that improved the classification of exercise-induced fatigue thermal images which is 8 % accurate compared to CNN-based models. Used the attention and CNN-based features to train multiple regressors to estimate the induced fatigue level. Analyzed, visualized, and reported the results and submitted a research paper to SCIA 2023 scientific conference.

Oct 2021 - Mar 2022

Data Scientist @ Alaaddin

• Trained and deployed a real-time CNN-based image classifier on AWS to automate customer requests acceptance which increased the operational speed by 10 %. • Built a power BI dashboard based on insights extracted from the customer segmentation results which helped the marketing team to increase the number of customers by 25%. • Collaborated with the stakeholders and software engineers to define business and technical requirements and set data collection protocol.

Jan 2018 - Apr 2018

Machine Learning Researcher @ Alexandria University

• Developed a generic end-to-end CNN-based model to detect the camera image manipulations for better camera model identification. • Publication: A. El-Yammany, H. Fouad and Y. Raffat, A generic approach CNN-based camera identification for manipulated images, 2018 IEEE International Conference on Electro/Information Technology (EIT)

Oct 2017 - Dec 2017

Machine Learning Engineer @ Valeo

Utilized Python deep learning libraries to implement sequence models to predict car steering angle as part of an advanced driver-assistance system developed by my graduation project team under the supervision of the Valeo AI team.

2019-2021

Data Science Researcher @ Medical Reseach Center

• Utilized statistical methods to find the significant differences in the modulation of brain cardiovascular pulse with respiration between controls and Alzheimer’s cases to help neurological researchers to have a better understanding of Alzheimer’s disease. The differences found were strongly significant (P<0.01) and novel. • Preprocessed and extracted features using a 3D multiresolution optical flow of 0.25 TB complex brain imaging data using Python. • Publication: Youssef Hosni, Ahmed Elabasy Respiration modulates cardiovascular brain impulse pathology in Alzheimer’s disease. Submitted to Journal of Cerebral Blood Flow and Metabolism.