Mahbub Ahmed Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Mahbub Ahmed's research interests encompass educational methodologies and the application of machine learning in engineering. He has investigated the effectiveness of web-based advising tools for engineering programs and explored student evaluations of teaching performance. Ahmed also focuses on developing low-cost laboratory experiments for university engineering curricula and examining the relevance of capstone design experiences within ABET accreditation processes.
His recent publications also indicate work in machine learning for materials science, specifically predicting the mechanical properties of 3D-printed nylon parts. Additionally, he has explored the use of machine learning for Bangla handwritten character recognition. In the health sciences, Ahmed has contributed to research on the safety and efficacy of aminophylline and caffeine in managing apnea of prematurity.
Metrics
- h-index: 6
- Publications: 44
- Citations: 138
Selected Publications
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Machine Learning Modeling to Predict Mechanical Properties of Nylon Parts Fabricated via 3D Printing (2025)
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Capstone Design Experience at Southern Arkansas University (SAU)-The Model, Implementation, and Relevance in ABET Accreditation Process. (2025)
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"Design, Construction, and Testing of a Prototype Test Unit for - Impact of a Jet - Experiment through Senior Design at Southern Arkansas University" (2025)
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Effectiveness of a Web-Based Advising Tool for an Engineering Program: Students’ Perspectives (2024)
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Developing a Web-based Advising Application for an Engineering Program (2024)
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Design and Construction of a Low-Cost ‘Hydrostatic Force on a Submerged Surface’ Experiment Setup (2022)
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