Estimating blood sugar without a needle, accepted at an IEEE conference
Millions of people with diabetes prick their fingers every day to check blood sugar. Devansh worked on a needle-free alternative: turning the optical pulse signal measured by a simple sensor into time-frequency images with derivative-synchrosqueezed transforms, and using them to estimate blood glucose non-invasively.
Medical AI & Signal Processing
First-author paper accepted at an IEEE conference
IEEE, 2026
A 12th grader at Delhi Public School, Guwahati in India interested in medical technology.
First author of a non-invasive blood glucose estimation method, accepted at an IEEE conference.
First-author paper accepted at an IEEE conference
Needle-free blood glucose estimation from optical pulse signals
Time-frequency imaging of photoplethysmography signals
Sadaf Shireen, Admitted to Brown, Johns Hopkins and UT Austin