Abdelkrim Ouafi

Papers

Total Citations

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About

Abdelkrim Ouafi is a researcher whose work bridges computer vision and human-computer interaction, with a primary focus on facial expression recognition and automated warehouse management. His most cited paper, "Fusion of transformed shallow features for facial expression recognition" (2019), has garnered 18 citations, demonstrating his contribution to improving automatic systems that interpret human affective states, cognitive activity, and intention—critical for applications in security, healthcare, and interactive technology. Ouafi’s approach emphasizes the fusion of transformed shallow features to enhance recognition accuracy, addressing the growing demand for robust, real-time emotion analysis. More recently, his 2025 survey on computer vision in warehouse management automation, with 5 citations, explores implemented methods and prototyping hardware, showcasing his versatility in applying vision techniques to industrial logistics. This work highlights his ability to translate theoretical advances into practical automation solutions, reducing human error and increasing efficiency. Ouafi’s research is characterized by a clear focus on feature engineering and system integration, making his contributions valuable for students and researchers interested in affective computing, machine learning, and computer vision applications in real-world settings.