AcaRevival Initiative

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

Read Manifesto →
EI

Emad Al Ibrahim

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Emad Al Ibrahim at Massachusetts Institute of Technology (MIT)

Emad Al Ibrahim holds an academic position at Massachusetts Institute of Technology. Their scholarly work centers on Computational Drug Discovery Methods, Spectroscopy and Laser Applications, and Advanced Combustion Engine Technologies. With over 140 citations accumulated, their work continues to earn recognition across academic communities. Their H-index of 6 highlights a growing trajectory of research influence.

Research Areas

Computational Drug Discovery MethodsSpectroscopy and Laser ApplicationsAdvanced Combustion Engine TechnologiesMachine Learning in Materials ScienceFree Radicals and Antioxidants

Academic Impact Matrix

Research output metrics for Emad Al Ibrahim aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations140

Emerging researcher

Publications21

Selective publication record

h-index6

Developing track record

i10-index4

Early-stage portfolio

Lab Environment

No lab data yet for Emad Al Ibrahim

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

Top Publications

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.