Ankan Bhattacharyya
Papers
2
Total Citations
58
H-Index
2
About
Ankan Bhattacharyya is a researcher at the forefront of affective computing and human-computer interaction, specializing in the innovative use of infrared thermal imaging for facial expression recognition. His work addresses the limitations of visible-spectrum cameras, which can be hindered by lighting conditions and occlusions. Bhattacharyya’s major contribution lies in pioneering deep learning and optimization-based approaches to decode human emotions from thermal facial patterns. His most-cited paper (56 citations) introduces a deep learning model for classifying facial expressions from infrared thermal images, demonstrating the viability of thermal data for emotion recognition. He further advanced the field with a deep feature selection method using Moth-Flame Optimization, enhancing model efficiency and accuracy. By leveraging thermal signatures—which capture physiological changes like blood flow—Bhattacharyya’s research opens new pathways for applications in sociable robotics, interactive gaming, and healthcare monitoring. His work is essential reading for anyone exploring non-invasive, robust emotion recognition systems that operate beyond the visible spectrum.
Research Focus
Key Achievements
Top Papers
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