Mohammad Shorfuzzaman

Prince Sultan University, Taif University

Papers

Total Citations

H-Index

About

Mohammad Shorfuzzaman is a leading researcher in artificial intelligence and computer vision, with a primary focus on deep learning applications for human behavior analysis. His work spans critical areas including human action recognition, facial expression analysis, and drone-based surveillance systems. Shorfuzzaman’s most impactful contribution is his 2023 paper on deep learning-based human action recognition in drone imagery, which has garnered 62 citations. This work addresses the fundamental challenge of enabling machines to interpret human behavior from aerial perspectives, with significant implications for video surveillance, human-robot collaboration, and sports analytics. His research tackles the inherent complexity of human motion and appearance variability, pushing the boundaries of what computer vision systems can achieve in dynamic environments. Additionally, Shorfuzzaman has made notable contributions to facial expression recognition, exploring how activation functions, optimization techniques, and regularization methods affect CNN-based models. His 2022 paper on this topic (12 citations) advances the field of human-computer interaction by improving machines’ ability to recognize emotional states, which is crucial for applications in data-driven animation and robotic communication. Through his work, Shorfuzzaman continues to shape the future of intelligent visual systems.