Experienced researcher in artificial intelligence, with a specialization in deep learning and machine learning. Proficient in leveraging diverse data types (2D, video, 3D, and vision-text) to drive AI innovation. Skilled in data-efficient learning methods, including self-supervision, weakly supervised learning, and semi-supervised learning techniques. Extensive experience in a wide range of vision applications, including Drone vision, Inspection, Subsea, and Medical imaging.
Education
Chonbuk National University, MSc Information and Electronics Engineering, South Korea, 2014
Norwegian University of Science and Technology, PhD Computer Science, Norway, 2020
Competence and research areas
- 3D Computer vision
- Deep learning
- Data-Efficient learning
- Machine learning for vision and point clouds
- LLM for visual reasoning
Linkedin
https://www.linkedin.com/in/ahmedkm/
ORCID
https://orcid.org/my-orcid?orcid=0000-0003-3074-3000
