AcaRevival Initiative

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

Read Manifesto →
ST

Shubin Tan

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Shubin Tan at Massachusetts Institute of Technology (MIT)

Shubin Tan holds an academic position at Massachusetts Institute of Technology. Their scholarly work centers on Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research, and Fault Detection and Control Systems. With over 940 citations accumulated, their work continues to earn recognition across academic communities. Their H-index of 18 highlights a growing trajectory of research influence.

Research Areas

Advanced Multi-Objective Optimization AlgorithmsMetaheuristic Optimization Algorithms ResearchFault Detection and Control SystemsAdvanced Control Systems OptimizationEvolutionary Algorithms and Applications

Academic Impact Matrix

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

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

Research Output

Total Citations1,880

Emerging researcher

Publications238

Active researcher

h-index18

Developing track record

i10-index26

Early-stage portfolio

Lab Environment

No lab data yet for Shubin Tan

+ 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.