CV

Profile

Doctoral researcher focusing on machine learning for perceptual quality assessment and medical image analysis. I work across the University of Poitiers (France) and the Norwegian University of Science and Technology (Norway) to design computer vision systems that align quantitative metrics with human visual perception.

Education

• Ph.D. in Machine Learning (cotutelle) — University of Poitiers & NTNU, 2022 – present
  Advisors: Mohamed-Chaker Larabi & Seyed Ali Amirshahi · Thesis focus on perceptual quality for immersive media and diagnostic imaging.
• Graduate studies in Computer Science — Algeria, 2018 – 2022
  Coursework and research centred on computer vision, signal processing, and applied machine learning.

Research experience

• Doctoral Researcher, REALISME Project — University of Poitiers & NTNU, 2022 – present
  Lead the development of multimodal datasets and deep learning pipelines for evaluating visual comfort in augmented reality. Coordinate experimentation across French and Norwegian laboratories and supervise student projects on perceptual studies.
• Machine Learning Researcher, Medical Imaging Collaborations — 2023 – present
  Design transformer-based architectures for automatic grading of knee osteoarthritis severity. Responsible for benchmarking across public radiographic datasets and aligning outputs with clinical decision workflows.

Technical skills

• Machine learning: deep representation learning, transformer architectures, domain adaptation.
• Computer vision: perceptual quality assessment, radiographic image analysis, 3D/AR rendering pipelines.
• Tooling: Python, PyTorch, TensorFlow, OpenCV, Docker, Git, experiment tracking with Weights & Biases.

Publications

Shifting Focus: From Global Semantics to Local Prominent Features in Swin Transformers for Knee Osteoarthritis Severity Assessment

Do Digital Images Tell the Truth?

Automatic Diagnosis of Knee Osteoarthritis Severity Using Swin Transformers

Deep-Based Quality Assessment of Medical Images Through Domain Adaptation

Talks

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, California

Teaching

Teaching experience 2

Teaching experience 1

Service and outreach

• Reviewer for IEEE conferences and journals in multimedia signal processing.
• Mentor for student-led projects exploring augmented reality and medical imaging applications of AI.