About
I am a skilled computer engineer specializing in medical image analysis. I earned my master's degree from Iran University of Science and Technology,
where my research focused on detecting and segmenting masses in Automated Breast Ultrasound (ABUS) images. The outcomes of my investigations were published in reputable journals,
showcasing the depth of my contributions to the field.
Post-graduation, I transitioned into a dynamic professional role as a full-time machine learning engineer at RCADT inc, where my primary focus lies in solving computer vision problems.
During this period, I have successfully conceptualized, developed, and deployed scalable machine learning pipelines to address a diverse array of challenges.
Moreover, driven by a personal commitment to advancing medical research, I continued my exploration of breast cancer.
I am particularly proud of my contributions to enhancing my Master's thesis, which revolves around a fully-automated ABUS segmentation method.
This improved method has demonstrated superiority over existing approaches in terms of both efficiency and the quality of results.
My dedication to innovation and excellence has enabled me to make meaningful contributions to the intersection of computer engineering and medical imaging, positioning me as a valuable asset in the field.
My current research interests include Machine Learning, Computer Vision, Medical Image Analysis, and Interpretablity of deep models.
- Email: amin.mkm27@gmail.com
- City: Tehran, Iran
