Biography

I earned a PhD in Biomedical Engineering in January 2025 from Constantine 1 - Frères Mentouri University, Constantine, Algeria, where I also completed my undergraduate studies in the same field. My research interests lie in deep learning and medical image analysis. I am actively seeking research opportunities; please feel free to contact me via Gmail if you have available positions.

  • Phone: +213 792731185
  • City: Constantine, Algeria
  • Degree: PhD
  • Email: abdesselam.ferdi@gmail.com
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Education

  • 2021--2024: PhD in Biomedical Engineering, SP-Lab, Electronics Department, Constantine 1 - Frères Mentouri University, Constantine, Algeria.
  • 2018--2020: Master in Biomedical Engineering, SP-Lab, Electronics Department, Constantine 1 - Frères Mentouri University, Constantine, Algeria.
  • 2015--2018: Bachelor in Biomedical Engineering, Electronics Department, Constantine 1 - Frères Mentouri University, Constantine, Algeria.

Publications

  • Abesselam Ferdi: Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays. ArXiv, 2024.
  • Abesselam Ferdi: Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization. IEEE International Conference on Machine Learning & Applied Network Technologies (ICMLANT), 2024.
  • Abesselam Ferdi, Abdelmalik Taleb-Ahmed, Amir Nakib, and Youcef Ferdi: Electrostatic Force Regularization for Neural Structured Pruning. ArXiv, 2024.
  • Abesselam Ferdi and Amir Nakib: YOLO based Object detection Enhancement based on Quadratic Convolution. International Conference on Foundation and Large Language Models (FLLM), 2024.
  • Abesselam Ferdi, Said Benierbah, and Amir Nakib: Residual Encoder-Decoder based architecture for Medical Image Denoising. Multimedia Tools and Applications, 2024.
  • Abesselam Ferdi, Said Benierbah, Amir Nakib, Youcef Ferdi, and Abdelmalik Taleb-Ahmed: Quadratic Convolution-based YOLOv8 (Q-YOLOv8) for localization of intracranial hemorrhage from head CT images. Biomedical Signal Processing and Control, 96, 2024.
  • Abesselam Ferdi, Said Benierbah, and Youcef Ferdi: YOLOv3-based Intracranial Hemorrhage Localization from CT Images. International Symposium on Advanced Topics in Electrical Engineering (ATEE), 2023.
  • Abesselam Ferdi, Said Benierbah, and Youcef Ferdi: Colorization Technique to im-prove DCNN-based ICH CT Image Classification. Conférence Nationale sur les Télécommunications et ses Applications (CNTA), 2023.
  • Abesselam Ferdi, Said Benierbah, and Youcef Ferdi: U-Net-based Semantic Segmen-tation of COVID-19 Chest CT Images: A Transfer Learning Approach. International Conference on Image and Signal Processing and their Applications (ISPA), 2022.
  • Abesselam Ferdi, Said Benierbah, and Youcef Ferdi: Five Deep Learning Models for Classification of Chest X-Ray Images of COVID-19. International Conference on Electronics, Artificial Intelligence and New Technologies (ICEAINT), 2021.

Teaching

  • 2023--2024: Teaching assistant at Paris-Est Créteil University, Paris, France.
  • 2021--2023: Teaching assistant at Constantine 1 - Frères Mentouri University, Constantine, Algeria.
  • 2021--2022: Teaching assistant at National Higher School of Biotechnology, Constantine, Algeria.