Ankit S. Vyas

Papers

Total Citations

H-Index

About

Ankit S. Vyas is a computer vision researcher whose work focuses on advancing **Facial Expression Recognition (FER)** through deep learning, particularly **Convolutional Neural Networks (CNNs)**. His most impactful contribution, the 2019 survey "Survey on Face Expression Recognition using CNN," has garnered **54 citations**, establishing a foundational review of CNN-based approaches for automated systems in robotics, security, education, and human-machine interaction. In this work, Vyas systematically categorized the challenges and methodologies for solving the FER problem, highlighting the difficulty of accurately interpreting facial expressions in real-world applications. Building on this, his 2021 paper "Concise CNN model for face expression recognition" (4 citations) proposes a streamlined CNN architecture designed to improve efficiency and accuracy in FER tasks, specifically targeting security and HMI systems. Vyas’s research bridges the gap between theoretical deep learning models and practical deployment, emphasizing compact, high-performance solutions. His work is particularly notable for its relevance to **human-machine interaction**, where real-time emotion recognition is critical. By synthesizing existing knowledge and introducing novel architectures, Vyas has contributed to making FER more accessible and robust, impacting fields from artificial intelligence to assistive robotics.