Mst Shamima Nasrin
Papers
2
Total Citations
2,029
H-Index
2
About
Mst Shamima Nasrin is a prominent researcher in the field of deep learning and artificial intelligence, whose work has made significant contributions to the machine learning community's understanding of modern neural network methodologies. She is perhaps best known for her comprehensive survey work, most notably "A State-of-the-Art Survey on Deep Learning Theory and Architectures" (2019), which has accumulated an impressive 1,593 citations, establishing it as an essential reference for researchers and practitioners entering the field. Her earlier contribution, "The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches" (2018), further cemented her reputation as a leading synthesizer of deep learning knowledge, garnering over 436 citations. Through these landmark works, Nasrin has helped map the rapid evolution of deep learning across diverse application domains, tracing key architectural developments and theoretical foundations that have shaped modern AI research. Her ability to distill complex, fast-moving research landscapes into accessible and thorough surveys has proven invaluable to students, engineers, and academics alike, making her a go-to authority for those seeking to understand both the historical trajectory and contemporary frontiers of deep learning technology.
Research Focus
Key Achievements
Top Papers
- 1A State-of-the-Art Survey on Deep Learning Theory and Architectures1,593 citations · 2019
- 2