Biography and Research Information
OverviewAI-generated summary
M. Fazlul Hoq's research interests encompass materials science, focusing on the recycling and regeneration of materials, particularly for lithium-ion batteries. His work has explored mechanochemically driven cathode healing and efficient direct cathode regeneration strategies utilizing planetary centrifugal mixing and eutectic salts. Additionally, Hoq has investigated ultrasound-assisted recovery of cathode active materials using green solvents. In parallel, his research extends to medical applications, including the use of advanced machine learning models for pathology image retrieval, auto-captioning, and lung cancer classification. He has also examined the prevalence and seasonal variations of Vitamin D deficiency in Bangladesh and contributed to case reports on thoracic ectopic kidney with Bochdalek hernia. Hoq holds an h-index of 10 with 40 total publications and 392 citations.
Metrics
- h-index: 10
- Publications: 40
- Citations: 392
Selected Publications
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Harnessing Native-Resolution 2D Embeddings for Lung Cancer Classification: A Feasibility Study with the RAD-DINO Self-supervised Foundation Model (2025)
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1434: RENAL REPLACEMENT THERAPY FOLLOWING IV CONTRAST ADMINISTRATION IN CRITICALLY ILL PATIENTS WITH CKD (2025)
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