Muhammad Jawad Bashir

About

Muhammad Jawad Bashir is a rising researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and precision agriculture. His work focuses on making complex AI systems transparent and trustworthy, particularly in cyber-physical environments like smart greenhouses. His most-cited paper, "Explainable AI for Smart Greenhouse Control: Interpretability of Temporal Fusion Transformer in the Internet of Robotic Things" (2025), tackles the critical challenge of black-box time series forecasting in autonomous agricultural systems. By applying explainable AI (XAI) techniques to Temporal Fusion Transformers, Bashir demonstrates how IoRT-driven greenhouses can achieve both high performance and interpretability—a key step toward reliable, human-understandable automation. Although early in his career, with 2 citations already for this landmark work, his research has immediate relevance for sustainable farming and robotic control. Bashir’s contributions are shaping a future where AI not only optimises crop growth but also explains its reasoning, bridging the gap between cutting-edge machine learning and practical, accountable deployment in critical infrastructure.

Research Focus

Key Achievements

Top Papers

1. 1
   Explainable AI for Smart Greenhouse Control: Interpretability of Temporal Fusion Transformer in the Internet of Robotic Things

   2 citations · 2025

Key Collaborators

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