AcaRevival Initiative

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

Read Manifesto →
AS

Aashini Shah

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Aashini Shah at Massachusetts Institute of Technology (MIT)

Aashini Shah is a researcher based at Massachusetts Institute of Technology. They specialize in Muscle activation and electromyography studies, Advanced Sensor and Energy Harvesting Materials, and Gold and Silver Nanoparticles Synthesis and Applications, with ongoing contributions to these areas. As an active contributor to their field, they remain engaged in ongoing research and academic development.

Research Areas

Muscle activation and electromyography studiesAdvanced Sensor and Energy Harvesting MaterialsGold and Silver Nanoparticles Synthesis and ApplicationsProsthetics and Rehabilitation RoboticsBalanceGaitand Falls Prevention

Academic Impact Matrix

Research output metrics for Aashini Shah aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations54

Emerging researcher

Publications9

Selective publication record

h-index3

Developing track record

i10-index2

Early-stage portfolio

Lab Environment

No lab data yet for Aashini Shah

+ 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.