AcaRevival Initiative

Experienced academic misconduct or bullying? We're building a real weapon against it.

Read Manifesto →
MI

Md Tauhidul Islam

Stanford University

No ratings yetBe the first to rate
Loading...

About Md Tauhidul Islam at Stanford University (Stanford)

Md Tauhidul Islam is a researcher based at Stanford University. They specialize in Ultrasound Imaging and Elastography, Elasticity and Material Modeling, and Ultrasound and Hyperthermia Applications, with ongoing contributions to these areas. Their research has drawn over 952 citations, marking them as an increasingly recognized voice in their field. A solid H-index of 16 speaks to the quality and reach of their work.

Research Areas

Ultrasound Imaging and ElastographyElasticity and Material ModelingUltrasound and Hyperthermia ApplicationsPhotoacoustic and Ultrasonic ImagingSingle-cell and spatial transcriptomics

Academic Impact Matrix

Research output metrics for Md Tauhidul Islam aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations952

Emerging researcher

Publications76

Selective publication record

h-index16

Developing track record

i10-index27

Early-stage portfolio

Lab Environment

No lab data yet for Md Tauhidul Islam

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

Reviews (0)

No reviews yet for this supervisor.

Be the first to share your experience!

Is your PI driving you crazy?

Featured Article

The Sunday Night Dread: Surviving a Micromanaging PhD Supervisor

Real advice from PhD students on recognizing and navigating difficult supervisor relationships

Your experience matters. After reading the guide, share your review to help other PhD students.

Frequently Asked Questions

Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.