Shibaprasad Sen
Papers
2
Total Citations
58
H-Index
2
About
Dr. Shibaprasad Sen is a researcher at the forefront of affective computing and human-computer interaction, with a specialized focus on facial expression recognition using infrared thermal imaging. His work addresses the limitations of visible-spectrum cameras by leveraging thermal data, which is robust to lighting variations and can capture subtle physiological cues. Dr. Sen’s most impactful contribution, a deep learning model for classifying facial expressions from thermal images, has garnered 56 citations, underscoring its significance in advancing non-invasive emotion detection. He further refined this approach in his 2022 study on deep feature selection using Moth-Flame Optimization, demonstrating a novel synergy between evolutionary algorithms and neural networks to enhance recognition accuracy. By tackling the inherent challenges of thermal imagery—such as lower contrast and noise—Dr. Sen is paving the way for more reliable and privacy-preserving emotion-aware systems. His work holds promise for applications in sociable robotics, interactive gaming, and clinical diagnostics, marking him as an emerging voice in the intersection of computer vision and optimization.
Research Focus
Key Achievements
Top Papers
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