Short biography
Sherin Sugathan finished his Master's in Computer Applications from the University of Kerala back in 2011, graduating first in his class. These days, he works as a Data Scientist at the University of Oslo, Norway. Before that, he was a Research Fellow at the University of Bergen, researching on visualization techniques in the context of multimodal brain imaging data. His career started in industry as a Senior Engineer at Siemens Healthcare, India, where he worked on advanced cardiac ultrasound imaging software. He has also spent time in research roles at Enview R&D Labs and the Indian Institute of Information Technology & Management Kerala (IIITM-K), picking up over three years of hands-on experience with innovative projects. Sherin's interests range across Image Processing, Computer Graphics, Computer Vision, and Deep Learning, especially when it comes to solving problems in healthcare. He has published in top journals and conferences, and involved in reviewing papers for them too.
I work a lot with high-performance computing systems, focusing on big-data visualization, parallel processing, and using AI models. It is all about making heavy computations run efficiently and turning massive datasets into meaningful insights for science and AI projects.
I currently work in deploying, scaling, and monitoring AI models in production environments. My work spans building automated pipelines, ensuring reproducibility, and integrating machine learning systems into different research workflows.
I have over 14 years of experience in developing applications for desktop (mostly) and web. Over the years, I have worked on everything from small utility tools to large, complex systems and experienced in handling the full development cycle from concept and design to deployment and maintenance.
With a strong focus on medical computing, my research area explores advanced computer graphics techniques to enhance the visualization of complex medical data. The goal is to make pathological processes easier to understand for researchers, clinicians, and learners alike.
I love working on real-world computer vision problems using image processing and machine learning. In the past, I have had a lot of fun and success solving challenges with image processing, and I often run free training sessions to share what I have learned and inspire others.
As an artist, I work in both traditional (paper) and digital (iPad and computer) mediums. I also create professional illustrations, delivering high-quality 2D and 3D visuals for medical, scientific, and technical projects.