Haroon Rashid
Papers
1
Total Citations
20
H-Index
1
About
Haroon Rashid is a leading researcher at the intersection of renewable energy systems and artificial intelligence, with a primary focus on deep learning applications for solar energy optimization. His most impactful work addresses a critical challenge in photovoltaic (PV) technology: the efficiency loss caused by soil and debris accumulation on solar panels. In his highly cited 2025 study, Rashid pioneered a deep learning-based recognition and classification system using HALCON software, designed specifically for solar cleaning robots. This work, which has already garnered 20 citations, demonstrates how convolutional neural networks can accurately identify and categorize different types of soiling on PV modules, enabling automated, targeted cleaning that significantly improves energy output. By integrating computer vision with robotic maintenance, Rashid’s contributions offer a scalable, intelligent solution to a major operational bottleneck in solar farms. His research not only advances the practical deployment of AI in clean energy infrastructure but also provides a framework for predictive maintenance in renewable systems. With growing recognition for bridging machine learning and sustainable technology, Rashid continues to shape how autonomous systems can enhance the reliability and efficiency of solar power generation.
Research Focus
Key Achievements
Top Papers
- 1