Applied research that strengthens your graduate application
For undergraduate and postgraduate students who want a peer-reviewed IEEE or Scopus paper built on their own applied AI/ML or engineering work, guided 1-on-1 by an experienced mentor.
Two fellowships, by academic level
Turing Fellow · Undergraduates
For B.Tech, B.E., B.Sc and other undergraduate students building towards MS / PhD applications, research internships or their first publication.
Feynman Fellow · Postgraduates
For Master’s students who want a publishable contribution from their own work, ahead of PhD applications or industry research roles.
Real work you can point to
An applied prototype
An AI/ML model, system or engineering prototype, with the dataset and benchmarks behind it.
A peer-reviewed manuscript
Written by you and guided through submission to IEEE, Scopus or indexed venues.
A live symposium talk
Present and defend your methodology before an academic and industry panel.
A verifiable certificate
With a credential ID anyone can check online.
A paper speaks the language of faculty reviewers
Evaluated by professors
Graduate admissions and research labs are run by researchers. A peer-reviewed paper is something they can read and judge directly.
Proof instead of claims
Instead of writing “I love AI”, your SOP cites a real DOI and connects to a professor’s lab.
Useful beyond admissions
A published project and working prototype give recruiters something concrete to evaluate.
From first conversation to published paper
1 · Apply & talk to us
A short application and a discovery call about your interests, goals and timeline. We reply within 48 hours.
2 · Scope a question
With your mentor, define an original problem that fits your field and the programmes you are aiming for.
3 · Build & write
Weekly 1-on-1 sessions through the literature, experiments or prototype, and the manuscript — about 4–5 hours a week.
4 · Publish & present
Submission to suitable peer-reviewed venues, then a live symposium defense and your certificate.
Selected Scholar & Mentor Publications
ProcureSense: A Hybrid Machine Learning Model and Public Dataset for Realistic Supply Chain Optimization
IEEE Xplore • ICAAIC
A Novel Dataset and a Hybrid Ensemble Approach for Anomaly Detection in Enterprise-Access-Logs
IEEE Xplore • ICDSAAI
An Innovative Intelligent Framework for Monitoring and Controlling Vehicular Movement in Smart Cities
IEEE • CDAN Symposium
Common questions
Do I need a topic already?
No. Many students start with a broad interest; scoping a sharp question is the first step with your mentor.
Is publication guaranteed?
No honest programme can promise acceptance — journals and conferences decide. We guide you to a strong manuscript and suitable peer-reviewed venues.
Who writes the paper?
You do. Your mentor guides, questions and reviews; the ideas, work and writing are yours.
Ready to start your research?
Tell us about your field and goals. We reply within 48 hours.