baha edine harrath

Dynamique, rigoureux et passionné. Motivé par le besoin de faire toujours mieux, de travailler en équipe et appuyé par de solides bases acquises lors de mon parcours. 

Je cherche une nouvelle opportunité qui me permet de relever mes défis.
 

I had a professional experience with company talen tunisia moreover
I had the opportunity thanks to esprit to alternate between my educational path
and saying academic internships with large companies such as ODBHF AND CGA.
 

My end of studies project subject is “Combined Deep Learning method for Multi-level Stress assessment from ECG signal in a Virtual Reality Environment”. In this research, I succeeded with the help of my supervisors Professor Riadh Ksantini and Professor Zied Lachiri to develop three resilient deep neural network designs. The first network is a convolutional neural network (CNN) with different kernel sizes, the second is a Bidirectional long short-term memory network (BILSTM), and the third network is a feature extractor that combines CNN and BILSTM. Experimental results demonstrate that the proposed model significantly outperforms the classical HRV-based ML models. We also report results on the benchmark WESAD dataset to show the supremacy of the proposed model.  
 

I got a data science engineer degree from the School of Engineering and Technology (ESPRIT), University of Tunis, Tunisia in 2021. I’m currently in the last phase of my MSc thesis in Signal processing at National Engineers School of Tunis (ENIT). I will most probably finish by the end of November 2022. I already finished the theoretical part of the MSc. I got the highest average score 15.22 out of 20.