Maryam Vahabi
Papers
2
Total Citations
118
H-Index
2
About
Maryam Vahabi is a researcher whose work bridges artificial intelligence and the Internet of Things (IoT), with a particular focus on human behavior analysis and industrial automation. Her most impactful contribution, a 2020 study on hybrid deep learning models for Human Activity Recognition (HAR), has garnered 113 citations, reflecting the field’s explosive growth and her role in advancing effective ML-based tools for analyzing human behavior across diverse applications. In parallel, Vahabi has explored the Industrial Internet of Things (IIoT), developing an analytical model for deploying mobile sinks—such as data-collecting robots—to enhance manufacturing efficiency in smart factories. This work addresses the practical challenge of integrating mobile robots into industrial supply chains, showcasing her ability to tackle real-world engineering problems. By combining deep learning with IoT architectures, Vahabi’s research not only pushes the boundaries of automated activity recognition but also provides scalable solutions for next-generation industrial systems. Her work stands as a valuable resource for students and researchers interested in the intersection of AI, pervasive computing, and cyber-physical systems.
Research Focus
Key Achievements
Top Papers
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- 2