Muhammad Zeeshan Qureshi
Papers
1
Total Citations
9
H-Index
1
About
Dr. Muhammad Zeeshan Qureshi is a leading researcher at the intersection of materials science and artificial intelligence, with a primary focus on advancing sustainable energy and environmental technologies. His work centers on the design, synthesis, and predictive modeling of metal-organic frameworks (MOFs) for carbon capture, leveraging machine learning algorithms to accelerate discovery and optimize performance. His most-cited paper, a comprehensive state-of-the-art review published in 2026, has already garnered 9 citations, underscoring its timely impact on the field. Dr. Qureshi’s contributions are notable for bridging computational and experimental approaches, enabling more efficient screening of MOF candidates for CO₂ capture capacity. His research not only addresses critical challenges in climate change mitigation but also sets a benchmark for integrating AI into materials discovery. By demonstrating how machine learning can streamline synthesis and predict material behavior, Dr. Qureshi is shaping the next generation of smart, data-driven materials design. His work continues to inspire students and researchers aiming to harness AI for solving pressing global energy and environmental problems.
Research Focus
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Top Papers
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