Md Zahangir Alom
Papers
2
Total Citations
2,029
H-Index
2
About
Md Zahangir Alom is a prominent researcher whose work sits at the intersection of deep learning theory, neural network architectures, and machine learning methodologies. He has made substantial contributions to the field by systematically surveying and synthesizing the rapidly evolving landscape of deep learning, providing the research community with comprehensive, accessible roadmaps through complex technical terrain. His most celebrated work, "A State-of-the-Art Survey on Deep Learning Theory and Architectures" (2019), has amassed an impressive 1,593 citations, establishing itself as an essential reference for students, engineers, and researchers seeking to understand the breadth of modern deep learning. Complementing this, his earlier survey "The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches" (2018) has garnered over 436 citations, tracing the evolutionary arc of deep learning from its pivotal moments to contemporary innovations. Together, these works reflect Alom's talent for synthesizing vast bodies of research into coherent, high-impact literature that accelerates understanding across the field. His combined citation count of nearly 2,000 across just these two papers underscores his significant influence in shaping how researchers conceptualize and engage with deep learning as a discipline.
Research Focus
Key Achievements
Top Papers
- 1A State-of-the-Art Survey on Deep Learning Theory and Architectures1,593 citations · 2019
- 2