Mizanur Rahman | HR Technology and Digital Transformation | Research Excellence Award

Dr. Mizanur Rahman | HR Technology and Digital Transformation | Research Excellence Award

Lecturer | The University of  Regent College London | United Kingdom

Dr. Md. Mizanur Rahman’s research focuses on advanced computing, data visualization, distributed systems, and data-driven analytics. His work investigates high performance rendering techniques, scanline-based algorithms, and the visualization of large-scale data sets, contributing to efficient computation and graphical modeling in complex computing environments. Across 11 publications, including international conferences and journals such as, Springer. Dr. Rahman has explored areas spanning geometric modeling, distributed computing architectures, and algorithm optimization for visualization tasks. His studies on cache oblivious algorithms, Java-based systems for large-scale rendering, and data-driven business analytics demonstrate a blend of theoretical rigor and practical application. With four citations and an h-index of 1, his contributions provide foundational insights into computational efficiency, algorithm design, and the integration of data science methods into real-world applications. Dr. Rahman’s work supports advancements in both academic research and applied computing technologies.

Citation Metrics (Google Scholar)

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Citations
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Documents
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h-index
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Featured Publications


High-performance rendering on clusters of workstations – S Dalal, F Dévai, MM Rahman

– Geometric Modeling and Imaging–New Trends (GMAI’06), 22-27, 2006


Experimental Evaluation of Graphics Algorithms – B Chalk, S Dalal, F Dévai, MM Rahman

– 2008 3rd International Conference on Geometric Modeling and Imaging, 59-65, 2008


The PCC Model in Online Teaching: A Framework for Effective Practice – MM Rahman

– The 2nd International Conference on Education Research – ICER 2025, 2025


Data-driven business strategies with the power of the K-means algorithm – MM Rahman

– International Journal of Higher Education Management 11 (2), 1-10, 2025