Akshita Patwal

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About

Akshita Patwal is a researcher making impactful strides in the field of computer vision, with a primary focus on Facial Expression Recognition (FER). Her most-cited work, "Facial expression recognition using DenseNet" (2022), has garnered 6 citations and demonstrates her expertise in leveraging deep learning architectures to accurately categorize human emotions from facial cues. Patwal’s research addresses the practical deployment of FER across diverse real-world applications, including video games, security surveillance, patient pain monitoring in hospitals, online meeting platforms, E-learning systems, and adaptive music players. Her contributions are particularly notable for advancing the use of DenseNet—a densely connected convolutional network—to improve recognition accuracy and efficiency. By bridging the gap between complex neural network design and tangible, user-centered technologies, Patwal is helping to shape a future where machines can better understand and respond to human emotional states. Her work holds significant promise for enhancing human-computer interaction and creating more empathetic, responsive digital environments.