Match tier Confirmed
Presence Current · Arkansas
Last published 2025
Sources OpenAlex · ORCID
Refreshed 2026-08-15

Muhammad Nazrul Islam

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Post Doctoral Fellow

Also affiliated: University of Information Technology and Sciences (2011); Yıldız Technical University (2018–2023); Bangladesh Agricultural Research Institute (2012–2014); University of Chittagong (2018); University of Oulu (2019)

Postdoc Researcher

Food Science

5 h-index 16 pubs 60 cited

  • Humans
  • Female
  • Machine Learning
  • Biosensing Techniques
  • Anti-Bacterial Agents
  • Equipment Design
  • Microwaves
  • Models, Theoretical
  • Male
  • Risk Factors
  • Animals
  • Bacterial Proteins
  • Computer Simulation
  • Transducers
  • Computer-Aided Design

Biography and Research Information

OverviewAI-generated summary

Muhammad Nazrul Islam's research focuses on the application of advanced computational techniques and materials science to address challenges in energy, industry, and environmental sustainability. His work includes the evaluation of design and device parameters for lead-free perovskite photovoltaic devices and the enhancement of solar cell performance using machine learning simulations. Islam has also investigated AI-based methods for detecting degradation in offshore structures and for predictive failure analysis in industrial pressure vessels, aiming to improve safety and reliability.

His research extends to materials science, with studies on the metal adsorption properties of dendrimer-based gels and the processing of cotton fabrics using polymer dye transfer inhibitors for sustainable dyeing. He has explored the morphogenesis and physical properties of silicovanadate glasses. Islam collaborates with researchers at the University of Arkansas at Fayetteville, including Abu Shahir Md Khalid Hasan, Mohammad Dehan Rahman, Md Maksudul Hossain, and Aireen Amir Jalal, with whom he has co-authored multiple publications.

Metrics

  • h-index: 5
  • Publications: 16
  • Citations: 60

Selected Publications

  • DC Modeling of 8 kV Depletion Mode Gallium Oxide MOSFET (2026)

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Collaboration Network

19 Collaborators 5 Institutions 2 Countries

Top Collaborators

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