Nour Neifar

About Me

Hi everyone! I am currently a postdoctoral researcher at the Digital Research Center of Sfax (CRNS) in Tunisia and a member of SM@RTS Laboratory , working with the SmartVision team, which focuses primarily on computer vision and deep learning projects. I earned my PhD in Computer Science in 2024 from the National School of Engineers of Sfax (ENIS), where I was a member of the ReDCAD Laboratory.

My research interests include artificial intelligence with a particular focus on deep learning, especially for representation learning, generative modeling, and data-driven analysis of complex visual and biomedical data.

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Reaseach Papers

Implicit Neural Representations for ECG Synthesis: What is the Potential ?

Nour Neifar, Achraf Ben-Hamadou
ACS/IEEE 22nd International Conference on Computer Systems and Applications, 2025

Deep Generative Models for Physiological Signals: A Systematic Literature Review

Nour Neifar, Afef Mdhaffar, Achraf Ben-Hamadou, Mohamed Jmaiel
Elsevier Artificial Intelligence in Medicine, 2025

Knowledge Distillation: A Key Approach for Lightweight Deep Generative Models

Nour Neifar.
International Conference on Service-Oriented Computing, 2024

Diffecg: A versatile probabilistic diffusion model for ecg signals synthesis

Nour Neifar, Achraf Ben-Hamadou, Afef Mdhaffar, Mohamed Jmaiel
2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA)

Leveraging statistical shape priors in GAN-based ECG synthesis

Nour Neifar, Achraf Ben-Hamadou, Afef Mdhaffar, Mohamed Jmaiel, Bernd Freisleben
IEEE Access, 2024

A Comparative Study of GAN Methods for Physiological Signal Generation

Nour Neifar, Achraf Ben-Hamadou, Afef Mdhaffar, Mohamed Jmaiel, Bernd Freisleben
ICPRAM, 2023

Disentangling temporal and amplitude variations in ECG synthesis using anchored GANs

Nour Neifar, Achraf Ben-Hamadou, Afef Mdhaffar, Mohamed Jmaiel, Bernd Freisleben
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 2023