Chinmay Sahu

Computer Vision Research Scientist at Thales Group

Chinmay Sahu, PhD, is a Computer Vision Research Scientist at Thales, specializing in biometric systems and deep learning research, with notable achievements including a top global ranking in iris recognition accuracy. Prior experience includes serving as a Research Assistant at Clarkson University's CoSiNe Lab, where Chinmay developed algorithms for IoT and biomedical applications, and designed a machine learning pipeline for cybersecurity. Additional roles include a NYSERDA Fellow as a Research Data Scientist at Potsdam Sensors, where indoor air quality models were developed, and software design at Alstom, focusing on security management tools. Chinmay holds a PhD in Electrical and Computer Engineering from Clarkson University, a Master's degree in Process Control Engineering from the National Institute of Technology, Tiruchirappalli, and a Bachelor's in Electrical and Electronics Engineering from the Gandhi Institute for Technological Advancement.

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