Anirban Dasgupta

Anirban Dasgupta works on applying sensing, imaging, and machine learning methods to health and safety monitoring problems, such as detecting stress, vital signs, and disease from images or physiological signals. Recent projects include non-contact health monitoring for drivers, medical image analysis (X-ray, CT, fundus images), low-light image enhancement for road safety, and assistive technologies for visually impaired users. The work spans instrumentation design, deep learning models, and some theoretical machine learning topics like coresets and graph neural network efficiency.

Publication output has grown over the last decade, dipping around 2020 but rising steadily since 2021 to a recent peak of 8 papers in 2024.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026