Md. Mahfuzur Rahman
Assistant Professor
Faculty Researcher
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Md. Mahfuzur Rahman's research focuses on the synthesis and application of nanomaterials, particularly carbon-based nanocomposites. His work investigates the use of these materials in diverse areas including lubrication, energy storage, and environmental remediation. Recent publications explore the development of metal-doped titanium dioxide photocatalysts for dye degradation, carbon nanomaterial-based lubricants, and MXene and graphene electrodes for capacitive deionization. Rahman has also examined the creation of biodegradable transparent films using graphitic carbon nitride-alginate for UV shielding and magnetic-field-assisted 3D printing of polymer-Fe3O4@graphene nanocomposites. His research interests extend to the optimization of industrial processes, as demonstrated by his work on surface grinding of alloy steel. Rahman's scholarship metrics include an h-index of 15, with 66 publications and 1,144 citations.
Metrics
- h-index: 15
- Publications: 66
- Citations: 1,144
Selected Publications
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Strategic nitrogen doping of Ca-TiO2 photocatalyst for improved dye degradation under UV–Vis irradiation (2026)
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Spatial Genetic Structuring and Divergence in Labeo rohita Across South Asian Rivers: Insights for Conservation Management (2025)
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The Impact of Digital Literacy on Technology Adaptation in Open and Distance Learning (2025)
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Optimized Synthesis Strategy of Mxene-Loaded Graphitic Carbon Nitride (g-C3N4) for Enhanced Photocatalytic Degradation of Rhodamine B (2025)
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Controlled Synthesis of Graphitic Carbon Nitride (g-C3N4) For Photocatalytic Degradation of Dyes (2025)
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Sustainable Development in the Printing Industry of Bangladesh: A Qualitative Assessment of Gender Equality, Decent Work, and Hygiene Standards (2025)
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Integrating demand forecasting and deep reinforcement learning for real-time electric vehicle charging price optimization (2025)
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Numerical Modeling and Machine Learning-Assisted Analysis of Ultra-Thin CuSbS2 Solar Cells Incorporating SnS2 ETL and V2O5 BSF Layers (2025)
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High-efficiency and eco-friendly Cs <sub>2</sub> SnBr <sub>6</sub> -based perovskite solar cells: optimized device architecture and performance analysis via SCAPS-1D simulation (2025)
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Effect of temperature on drying kinetics, physico-chemical properties and antioxidant activity of cabinet dried whole jujubes (2025)
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Advancing comfort and efficiency: Radiant heating and cooling systems for sustainable architecture (2025)
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Genetic Diversity Resonates With Conservation Strategies: A Case Study of <scp><i>Labeo rohita</i></scp> Population (2025)
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Tropical cyclone track prediction harnessing deep learning algorithms: A comparative study on the Northern Indian Ocean (2025)
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Navigating the Fourth Industrial Revolution in the Publishing Industry of Bangladesh: Preparedness, Problems and Prospects (2025)
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Exploring Sustainable Publishing Practices in the Publishing Industry of Bangladesh: A Qualitative Study in the Context of the Fifth Industrial Revolution (2025)
Collaboration Network
Top Collaborators
- Integrating demand forecasting and deep reinforcement learning for real-time electric vehicle charging price optimization
- Integrating demand forecasting and deep reinforcement learning for real-time electric vehicle charging price optimization
- Integrating demand forecasting and deep reinforcement learning for real-time electric vehicle charging price optimization
- Integrating demand forecasting and deep reinforcement learning for real-time electric vehicle charging price optimization
- Integrating demand forecasting and deep reinforcement learning for real-time electric vehicle charging price optimization
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