Fiche de Khowarizmi Muhammad Haekal
Mémoire de recherche :
Segmentation models comparison for kidney disease research, focusing on improving segmentation performance and inference time within the Skinet project.
| Muhammad-Haekal_Khowarizmi@etu.ube.fr | |
| Téléphone | +33 (0)3 80 39 57 44 |
| Bureau | Bureau 322 |
| Adresse | Université Bourgogne Europe CNRS UMR5022 – LEAD Institut Marey - I3M 64 rue de Sully 21000 Dijon |
- Spécialité
- Curriculum Vitae
Artificial Intelligence Engineering (Computer Vision & Medical Imaging)
Education:
1. Université Bourgogne Europe (UBE), France
Master’s Degree in Health Artificial Intelligence (M2)
2025 – 2026 (Expected)
2. Universitas Gunadarma, Indonesia
Master’s Degree in Information Systems – Health AI Track (M1)
2024 – 2025
3. Universitas Gunadarma, Indonesia
Bachelor’s Degree in Computer Systems
2020 – 2024
Research Experience:
1. Master’s Research Internship – LEAD Laboratory (CNRS), Université Bourgogne Europe
(2025–Present)
Comparative study of deep learning segmentation models for renal histopathology
images within the Skinet project, focusing on improving segmentation accuracy and
inference efficiency for clinical applications
2. Research Collaboration – Autonomous Robotics Project (2024)
Developed a YOLOv8-based object detection system integrated with a robotic
manipulator for real-time autonomous harvesting and perception evaluation.
3. Student Researcher – National Research Program (2023)
Designed a computer vision–based plant disease detection system and a machine
learning decision-support model; research results were published in a peer-reviewed
journal.