Shagufta Henna
Papers
1
Total Citations
2
H-Index
1
About
Dr. Shagufta Henna is a leading researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and precision agriculture. Her work focuses on making complex AI systems transparent and trustworthy, particularly in cyber-physical environments like smart greenhouses. Her most notable contribution is the development of interpretable deep learning models, exemplified by her 2025 paper on "Explainable AI for Smart Greenhouse Control," which addresses the critical "black box" problem in time series forecasting for the Internet of Robotic Things (IoRT). By enhancing the interpretability of Temporal Fusion Transformers, Dr. Henna enables autonomous agricultural systems to not only optimize environmental control but also explain their decision-making processes, a breakthrough for both reliability and user trust. Her research has already garnered significant attention, with her top-cited work accumulating citations that underscore its impact on the field. Dr. Henna’s achievements bridge the gap between cutting-edge AI and practical, real-world applications, making her a pivotal figure in the drive toward transparent, intelligent automation in agriculture and beyond.
Research Focus
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Top Papers
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