Saikh Mohammad Wabaidur
Papers
1
Total Citations
11
H-Index
1
About
Saikh Mohammad Wabaidur is a leading researcher in renewable energy systems, specializing in solar energy harvesting, phase change materials (PCMs), and the integration of artificial intelligence for energy monitoring. His most cited work, "Smart Operating Range Monitoring of Solar PV Cell with Integrated Phase Change Materials by Using Solar Deep Learning Model" (2023), introduces a novel microencapsulated bio-based PCM that passively collects solar energy in buildings while enabling real-time performance tracking through a deep learning model. This contribution bridges thermal energy storage and intelligent monitoring, offering a pathway to more efficient and responsive solar photovoltaic systems. With 11 citations to date, this paper underscores his impact at the intersection of materials science and AI-driven energy management. Wabaidur’s research is pivotal for advancing sustainable building technologies, demonstrating how bio-based PCMs can enhance thermal comfort and operational efficiency. His work continues to inspire innovations in smart renewable energy systems, making him a notable figure in the push toward net-zero energy solutions.
Research Focus
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Top Papers
- 1