Md. Mehedi
Hassan
Ph.D. researcher working on World Models and AI-driven cardiovascular intelligence with the Causal Dynamics Lab — causal reasoning, dynamic system modelling, and predictive AI for cardiovascular health, bridging advanced research with real-time, industry-oriented applications.
Md. Mehedi Hassan is a Ph.D. researcher at Texas Tech University, working on World Models and AI-driven cardiovascular intelligence with the Causal Dynamics Lab — exploring causal reasoning, dynamic system modelling, and predictive AI for cardiovascular health.
His work bridges advanced AI research with real-time, industry-oriented applications: modelling cardiovascular dynamics, understanding how disease progresses, and supporting clinical decision-making.
He holds M.Sc. and B.Sc. degrees in Computer Science and Engineering and has authored peer-reviewed scientific publications (2,440+ citations, h-index 27), 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.
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.
World’s Top 2% Scientists
Listed in the 2026 Stanford University & Elsevier ranking
The single-year citation-impact list covering roughly the top two per cent of researchers worldwide, across every scientific field. The listing places the work in Artificial Intelligence & Image Processing.
8 Scholarly Books
Deep Learning in Cardiovascular Health
Springer · 2026
Transforming Global Healthcare: AI and IoT
CRC Press · 2026
Graph Neural Networks for Neurological Disorders
Springer · 2026
Brain Networks in Neuroscience
River Publishers · 2025Writing for the Public
Op-eds in Bangladeshi national media, written in Bengali.
From vaccines to mosquito control: how far has Bangladesh progressed in dengue research?
What the research on vaccines, insecticide resistance, serotypes and rapid tests can and cannot carry on its own.
Is the social media comment box changing the course of politics in Bangladesh?
Why high online visibility should not be mistaken for national public opinion.
Latest Updates
IEEE HealthCom 2026, New York
Presented the first Ph.D. work — lightweight 3D liver segmentation — an industry-linked collaboration with Stanford University and Emory University.
DermaViGNet featured by Adelaide University and EurekAlert!
Explainable AI for skin disease diagnosis, reaching 98% accuracy across five conditions including Stevens-Johnson Syndrome.
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 Ph.D. researcher at Texas Tech University. Reach out by email for the fastest response — happy to discuss manuscripts, collaborations, or teaching/speaking invitations.
Send an Email →Where the Work Happens
Doctoral research, the industry lab the applied work runs with, and the supervisory and industry panel guiding it — the academic and applied halves of one programme of work.
Texas Tech University
Ph.D. researchDoctoral research in the College of Health & Human Sciences, Lubbock, Texas.
Causal Dynamics Lab
Industry researchWorld models and AI-driven cardiovascular intelligence — causal reasoning and dynamic system modelling for real-time applications.
Stanford University
Industry & supervisory panelOn the supervisory and industry panel for the applied research strand.
Emory University
Industry & supervisory panelOn the same supervisory and industry panel, and research partner to the Causal Dynamics Lab.
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