Krishna Kumar Mohbey

Papers

Total Citations

117

H-Index

About

Dr. Krishna Kumar Mohbey is a leading researcher at the intersection of affective computing and deep learning, with a primary focus on emotion recognition systems. His most impactful work, "Facial emotion recognition and music recommendation system using CNN-based deep learning techniques," has garnered 81 citations, establishing a foundational approach for integrating computer vision with personalized media delivery. Dr. Mohbey’s contributions extend to speech emotion analysis, as demonstrated by his 32-cited paper "Speech Emotion Based Sentiment Recognition using Deep Neural Networks," which explores the nuanced detection of human sentiment from vocal patterns. His research addresses a critical gap in human-computer interaction: enabling machines to understand and respond to emotional states. By combining convolutional neural networks with recommendation algorithms, Dr. Mohbey has pioneered systems that not only recognize facial expressions but also adaptively suggest music to match or enhance a user’s mood. His work has significant implications for mental health support, entertainment, and assistive technologies. With a growing citation record and a focus on practical, real-world applications, Dr. Mohbey continues to shape how AI interprets and responds to human emotion.