Hoda Mohammadzade
Papers
2
Total Citations
8
H-Index
2
About
Dr. Hoda Mohammadzade is a pioneering researcher at the intersection of robotics, computer vision, and deep learning, with a focused expertise in automated lip-reading systems. Her major contributions center on developing intelligent robotic platforms capable of interpreting spoken language through visual cues alone, specifically targeting Persian words and phrases. In her landmark 2021 work, she introduced an innovative architecture combining Convolutional Neural Networks (CNNs) with Long Short-Term Memory (LSTM) networks, enabling a robotic system to decode lip movements in real time. This foundational research was further refined in her 2024 study, which achieved enhanced accuracy for Persian word recognition using advanced deep learning algorithms. Though her citation counts are currently modest—with each of her two most-cited papers garnering 4 citations—her work represents a significant step toward accessible, non-auditory human-robot interaction, particularly for languages with limited computational resources. Her research holds promise for assistive technologies and silent communication interfaces, positioning her as an emerging voice in the growing field of visual speech recognition.
Research Focus
Key Achievements
Top Papers
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