Md. Samin Morshed Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Little Rock
faculty
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Biography and Research Information
OverviewAI-generated summary
Md. Samin Morshed's research focuses on the application of artificial intelligence and machine learning techniques to address challenges across various domains. His work includes developing and evaluating deep learning models for tasks such as fruit quality assessment and mushroom edibility prediction. Morshed has also investigated the use of machine learning for age estimation from facial images and the mycological examination of microscopic fungi. His research interests extend to the integration of emerging technologies, as evidenced by his work on IoT-Blockchain in remote pregnancy care coordination. Furthermore, he has explored the application of transformer models for entity resolution on synthetic datasets.
Morshed is affiliated with the University of Arkansas at Little Rock, where he collaborates with researchers such as Mariofanna Milanova and Md Rizwanul Kabir. His scholarly output includes 10 publications, with an h-index of 3 and 52 total citations. His most recent publication is from 2025, indicating recent activity in his field.
Metrics
- h-index: 3
- Publications: 10
- Citations: 52
Selected Publications
- Entity Resolution Using Transformers for Synthetic Datasets (2025) DOI
- Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach (2025) DOI
- Mycological Examination of Microscopic Fungi Images with Deep Learning and Gradient Weighted Class Activation Mapping Visualization (2024) DOI
- Intrapartum fever prediction for pregnant woman from microbial data (2024) DOI
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