M
Md Majharul Islam Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
6 h-index
9 pubs
77 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Md Majharul Islam's research focuses on the application of artificial intelligence (AI) and advanced techniques to enhance safety and reliability in industrial operations and to improve the performance of energy devices. He has investigated AI-based smart coating degradation detection for offshore structures and AI-powered predictive failure analysis in pressure vessels using real-time sensor fusion, aiming to bolster industrial safety and infrastructure integrity. Islam's work also extends to the field of renewable energy, specifically in evaluating and enhancing photovoltaic device technology. His publications include studies on lead-free perovskite photovoltaic devices and the use of machine learning with simulators like SCAPS-1D to improve solar cell performance. Additionally, his research encompasses the parametric analysis of ferroelectric capacitor models for memory bitcells and compact modeling of GaN-based MOSFETs, contributing to advancements in semiconductor device design.
Metrics
- h-index: 6
- Publications: 9
- Citations: 77
Selected Publications
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Parametric Analysis of an AlScN Based Ferroelectric Capacitor Model in a Ferroelectric Memory Bitcell (2025)
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Compact Modeling of <i>β</i> -Ga <sub>2</sub> O <sub>3</sub> Lateral Depletion Mode MOSFET (2025)
Collaboration Network
Top Collaborators
Ripan Kumar Prodhan
Lamar University (US)
5 shared publications
- Evaluation of design and device parameters for lead-free Sr <sub>3</sub> PBr <sub>3</sub> /Sr <sub>3</sub> NCl <sub>3</sub> duel-layer perovskite photovoltaic device technology
- AI-BASED SMART COATING DEGRADATION DETECTION FOR OFFSHORE STRUCTURES
- INTEGRATION OF ADVANCED NDT TECHNIQUES & IMPLEMENTING QA/QC PROGRAMS IN ENHANCING SAFETY AND INTEGRITY IN OIL & GAS OPERATIONS
- AI-POWERED PREDICTIVE FAILURE ANALYSIS IN PRESSURE VESSELS USING REAL-TIME SENSOR FUSION : ENHANCING INDUSTRIAL SAFETY AND INFRASTRUCTURE RELIABILITY
- Enhancement of sulfide-based absorber and charge transport layer solar cell performance using machine learning and the SCAPS-1D simulator
Arafat Bin Fazle
Chattogram Veterinary and Animal Sciences University (BD)
3 shared publications
- AI-BASED SMART COATING DEGRADATION DETECTION FOR OFFSHORE STRUCTURES
- INTEGRATION OF ADVANCED NDT TECHNIQUES & IMPLEMENTING QA/QC PROGRAMS IN ENHANCING SAFETY AND INTEGRITY IN OIL & GAS OPERATIONS
- AI-POWERED PREDICTIVE FAILURE ANALYSIS IN PRESSURE VESSELS USING REAL-TIME SENSOR FUSION : ENHANCING INDUSTRIAL SAFETY AND INFRASTRUCTURE RELIABILITY
Avijit Ghosh
Begum Rokeya University (BD)
2 shared publications
- Evaluation of design and device parameters for lead-free Sr <sub>3</sub> PBr <sub>3</sub> /Sr <sub>3</sub> NCl <sub>3</sub> duel-layer perovskite photovoltaic device technology
- Enhancement of sulfide-based absorber and charge transport layer solar cell performance using machine learning and the SCAPS-1D simulator
Aireen Amir Jalal
University of Arkansas at Fayetteville
2 shared publications
In database
- Compact Modeling of <i>β</i> -Ga <sub>2</sub> O <sub>3</sub> Lateral Depletion Mode MOSFET
- Parametric Analysis of an AlScN Based Ferroelectric Capacitor Model in a Ferroelectric Memory Bitcell
Md. Shamim Reza
Begum Rokeya University (BD)
1 shared publication
- Evaluation of design and device parameters for lead-free Sr <sub>3</sub> PBr <sub>3</sub> /Sr <sub>3</sub> NCl <sub>3</sub> duel-layer perovskite photovoltaic device technology
Nidhal Drissi
Begum Rokeya University (BD)
1 shared publication
- Evaluation of design and device parameters for lead-free Sr <sub>3</sub> PBr <sub>3</sub> /Sr <sub>3</sub> NCl <sub>3</sub> duel-layer perovskite photovoltaic device technology
Hmoud Al-Dmour
Mutah University (JO)
1 shared publication
- Evaluation of design and device parameters for lead-free Sr <sub>3</sub> PBr <sub>3</sub> /Sr <sub>3</sub> NCl <sub>3</sub> duel-layer perovskite photovoltaic device technology
Shirin Begum
Lamar University (US)
1 shared publication
- Evaluation of design and device parameters for lead-free Sr <sub>3</sub> PBr <sub>3</sub> /Sr <sub>3</sub> NCl <sub>3</sub> duel-layer perovskite photovoltaic device technology
Md. Selim Reza
Begum Rokeya University (BD)
1 shared publication
- Evaluation of design and device parameters for lead-free Sr <sub>3</sub> PBr <sub>3</sub> /Sr <sub>3</sub> NCl <sub>3</sub> duel-layer perovskite photovoltaic device technology
Sabina Sultana
Begum Rokeya University (BD)
1 shared publication
- Evaluation of design and device parameters for lead-free Sr <sub>3</sub> PBr <sub>3</sub> /Sr <sub>3</sub> NCl <sub>3</sub> duel-layer perovskite photovoltaic device technology
Nondon Lal Dey
University of Louisiana at Lafayette (US)
1 shared publication
- Enhancement of sulfide-based absorber and charge transport layer solar cell performance using machine learning and the SCAPS-1D simulator
Mahbuba Moumita
Lamar University (US)
1 shared publication
- Enhancement of sulfide-based absorber and charge transport layer solar cell performance using machine learning and the SCAPS-1D simulator
Md Jakaria Talukder
Lamar University (US)
1 shared publication
- Enhancement of sulfide-based absorber and charge transport layer solar cell performance using machine learning and the SCAPS-1D simulator
Abrar Ahamed Habibullah
Lamar University (US)
1 shared publication
- Enhancement of sulfide-based absorber and charge transport layer solar cell performance using machine learning and the SCAPS-1D simulator
Majid Zaman
Lamar University (US)
1 shared publication
- Enhancement of sulfide-based absorber and charge transport layer solar cell performance using machine learning and the SCAPS-1D simulator
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