Youness El Brag

"Don't forget to think about people, in the end, it is all about them."

I am a Machine Learning Engineer and Researcher at Jordan University of Science and Technology, specializing in Medical Image Engineering and Processing within the Department of Allied Medical Sciences-Radiologic (Technology). My passion lies in the field of Machine Learning,

which I enthusiastically write about on Medium. Beyond my technical endeavors, I am deeply intrigued by human behavior and sociology, constantly seeking to learn more about Human interactions and Neuroscience.

In my downtime, I indulge in the soothing rhythms of Jazz and Blues music, reflecting my profound love for music. If not an engineer, I would have pursued a career in psychology to delve into the mysteries of the human mind. Join me on this journey as I explore the fascinating convergence of technology, psychology, and the essence of being human.

Some areas of interest:

Machine Learning;
Optimization;
Automation;
Parallel computing;
Big compute (rather than big data)
Computer vision
Bioinformatic

news

Nov 12, 2023	comming soon realse Nano-LVM model Using LLM for multi Modulaties Data
Jul 21, 2023	Created A new Organization GenMed
Jul 16, 2023	Event Hosted by TFUG Speaker Youness El Brag here are the full representation and slides with codes, in the community : Kaggle: the code of Event Host in Kaggle kaggle GitHub: code GitHub

Nov 12, 2023

comming soon realse Nano-LVM model Using LLM for multi Modulaties Data

Jul 21, 2023

Created A new Organization GenMed

Jul 16, 2023

Event Hosted by TFUG Speaker Youness El Brag

here are the full representation and slides with codes, in the community :

Kaggle:
- the code of Event Host in Kaggle kaggle
GitHub:
- code GitHub

latest posts

Aug 1, 2023	Overview of Last LLM in Medicine like never know before now
Jul 4, 2023	Generating New Drug SMILES Data Using Model RNN-LTSM
Jul 4, 2023	Transformer Explained in Depth with code

selected publications

2023

Nano-AutoGrad: A Micro-Framework Engine Based on Automatic Differentiation for Building and Training Neural Networks

Ahmad Wajeeh Yousef Elayan, and Ali Almakhadmeh

2023

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Strategy Learning of Scaling Vision-Model 3D Volumetric Data in Biom-edical Segmentation Task Brain Tumor: An Ensemble Learning Approach to BraTS 2020 Challenge

Phys. Rev., Fre 2023

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Two segmentation models, 3D U-Net++ and 3D U-Net++ with attention gate, are trained using different learning strategies on the BraTS 2020 dataset. Hyperparameters are adjusted, and diverse loss functions are employed. The models segment gliomas
Attention Filter Gate U-Net: Learning from Frequency domain for Medical image Segmentation

Ahmad Wajeeh Yousef Elayan. Younes Elbrag

Fre 2023

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