Md. Mehedi
Hassan
Ph.D. researcher working on AI-driven medical imaging and computer vision for metabolic disorders, fatty liver disease (MASLD/NAFLD), and chronic health conditions — bridging deep learning research with clinical workflow.
Md. Mehedi Hassan is a Research Assistant at Texas Tech University specializing in AI-driven medical imaging, computer vision, and digital health diagnostics for metabolic disorders, fatty liver disease, and chronic health conditions.
He holds M.Sc. and B.Sc. degrees in Computer Science and Engineering and has authored peer-reviewed scientific publications (2,226+ citations, h-index 25), edited 8 scholarly books with premier publishers, and holds two granted patents. He serves as Associate Editor and Academic Editor across leading Q1/Q2 journals, and his current work bridges deep learning innovation with clinical workflow optimization to build scalable diagnostic tools.
His Field-Weighted Citation Impact (SciVal) stands at 2.09 — within Scopus's top 1% of global impact — across 47 papers as first, lead, or corresponding author.
Let's Connect
Open to research collaborations, editorial invitations, speaking engagements, and doctoral/postdoctoral opportunities in biomedical AI and medical imaging.
- Email
mehedihassan@ieee.org→ - Phone
+61 480 569 667→ - ORCID
0000-0002-9890-0968→ - Google Scholar
Publication & citation record→ - GitHub
@mhashiq→ - LinkedIn
mh-ashiq→ - ResearchGate
Mdmehedi-Hassan-2→ - Web of Science
AAJ-9904-2021→
Based in Lubbock, Texas
Currently a Research Assistant & Ph.D. student at Texas Tech University. Reach out by email for the fastest response — happy to discuss manuscripts, collaborations, or teaching/speaking invitations.
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