AcaRevival Initiative

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

Read Manifesto →
AR

Adityanarayanan Radhakrishnan

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Adityanarayanan Radhakrishnan at Massachusetts Institute of Technology (MIT)

Adityanarayanan Radhakrishnan is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Neural Networks and Applications, Stochastic Gradient Optimization Techniques, and Sparse and Compressive Sensing Techniques. As an established researcher, their work has gained over 633 citations, reflecting growing recognition within the scientific community. Their H-index of 11 further reflects consistent scholarly impact.

Research Areas

Neural Networks and ApplicationsStochastic Gradient Optimization TechniquesSparse and Compressive Sensing TechniquesCell Image Analysis TechniquesAdvanced Neural Network Applications

Academic Impact Matrix

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

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

Research Output

Total Citations633

Emerging researcher

Publications53

Selective publication record

h-index11

Developing track record

i10-index11

Early-stage portfolio

Lab Environment

No lab data yet for Adityanarayanan Radhakrishnan

+ 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.