Soumen Basu, PhD

AI Researcher

India10 yrs 5 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Ph.D. in Computer Vision and Medical Imaging.
Published in top-tier international venues.
Expertise in Foundation Models and Scene Understanding.

Stackforce AI infers this person is a Healthcare AI Researcher with expertise in Computer Vision and Deep Learning.

Contact

mail.basu.s@gmail.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningComputer VisionDeep Learning

Other Skills

Agile MethodologiesAlgorithmsCC++Computer ScienceData StructuresDeep Neural Networks (DNN)GitKerasMedical Image AnalysisNeural NetworksOperating SystemsProgrammingPyTorchPython

About

I am an AI Research Scientist at Meta working on leveraging Foundation Models to improve the current specialist revenue models. Previously I was a staff researcher at Samsung R&D Institute Bangalore, working with the Visual Understanding team on Scene Understanding in images/ videos. I have a Ph.D. in Computer Vision and Medical Imaging from the Indian Institute of Technology Delhi. I have published several research articles in top-tier international venues such as CVPR, MICCAI, Elsevier Medical Image Analysis, and Lancet. My relevant skills are Deep Learning, Computer Vision, and Medical Image Analysis. Web: https://www.cse.iitd.ac.in/~soumen

Experience

Samsung r&d institute india

Senior Chief Engineer (Staff)

Mar 2024 – Jan 2025 · 10 mos · Bangalore Urban, Karnataka, India · Hybrid

I worked as a researcher with the Visual Understanding team on detection/ segmentation problems. Worked primarily on On-device Foundational Segmentation Models, and Object Tracking.

Computer VisionDeep Neural Networks (DNN)Research and Development (R&D)Deep Learning

Amazon

Applied Scientist Intern

Jul 2023 – Dec 2023 · 5 mos · India · Hybrid

Machine LearningPyTorchDeep LearningKerasComputer VisionDeep Neural Networks (DNN)+3

Indian institute of technology, delhi

Doctoral Researcher

Jul 2019 – Feb 2024 · 4 yrs 7 mos · Greater Delhi Area

My primary area of interest is Computer Vision and Deep Learning. My research in IIT Delhi, in particular, aims to tackle the problem of Gallbladder Cancer (GBC) detection from abdominal Ultrasound (US) images. I have published my research in top-tier venues like CVPR, MICCAI, and Elsevier Medical Image Analysis, Lancet Regional Health. I have also served as a reviewer in top AI and Vision venues, such as AAAI, CVPR, ICCV, ECCV, MICCAI.

Machine LearningPyTorchMedical Image AnalysisDeep LearningComputer VisionDeep Neural Networks (DNN)+3