Ram Sarkar
Papers
4
Total Citations
103
H-Index
3
About
Ram Sarkar is a leading researcher in computer vision and artificial intelligence, with a particular focus on human-centered computing. His work bridges the gap between traditional visible-spectrum analysis and emerging thermal imaging technologies, making significant contributions to affective computing and biometrics. Sarkar is best known for developing a deep learning model for classifying human facial expressions from infrared thermal images, a pioneering approach that overcomes the limitations of standard cameras in varied lighting conditions—this work has garnered 56 citations. He has also advanced the field through comprehensive surveys, such as his review of human action recognition research over the last decade, and innovative feature selection techniques, including a golden ratio-aided neural network for emotion, gender, and speaker identification from voice signals. His use of moth-flame optimization for deep feature selection in thermal facial expression recognition further demonstrates his commitment to improving model efficiency and accuracy. With a growing citation impact and a focus on real-world applications like interactive systems and sociable robotics, Sarkar’s research continues to shape the future of human-computer interaction.
Research Focus
Key Achievements
Top Papers
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