RESEARCH PROGRAM

From curiosity to publication.
Real research. Real output.

Student conducting research in a science lab

RESEARCH FIELDS

What you can study.

We match students with active researchers and PhD mentors across four broad disciplines. Every project is designed to produce a tangible academic output — a conference paper, a research report, or a competition submission.

STEM

  • Biology & Biomedical Sciences
  • Computer Science & Artificial Intelligence
  • Engineering & Robotics
  • Mathematics & Applied Statistics
  • Chemistry & Environmental Science
  • Physics & Astronomy

Business

  • Finance & Economics
  • Marketing & Consumer Behavior
  • Entrepreneurship & Innovation
  • Data Analytics & Business Intelligence

Social Sciences

  • Psychology & Behavioral Science
  • Political Science & Public Policy
  • Sociology & Education
  • International Relations

Humanities

  • History & Philosophy
  • Literature & Cultural Studies
  • Linguistics & Communication
  • Art History & Visual Culture

PROGRAM FORMATS

Two formats.

Two formats to fit different students and goals. Same standard across both: every student finishes with a publishable output and first-author credit.

Format A — One-on-One Mentorship

Paired directly with a PhD-level research instructor for individualized guidance.

  • One-on-one online research method and paper-writing instruction with assigned mentor
  • Research topic assigned based on student's academic level and interests
  • Full paper development: literature review → methodology → drafting → revision
  • Submission to an internationally recognized conference (Scopus / EI / CPCI indexed)
  • Student listed as first author
  • Recommendation letter from research mentor available upon completion
  • Paper acceptance guaranteed within agreed timeline

Format B — Team Research Project

Collaborative research in a small cohort (3–5 students), guided by a lead researcher.

  • Structured team project with assigned roles and shared deliverables
  • Weekly group sessions with mentor supervision
  • Individual contribution clearly defined and documented
  • Co-authored paper with individual contribution credit
  • Submission to a recognized conference or academic journal
  • Builds teamwork, peer review, and academic collaboration skills
  • Lower cost entry point with the same publication standard

CURRENT PROJECTS

Open projects this cycle.

The following projects are currently available for enrollment. Spots are limited per project. Contact us to confirm availability and begin matching.

Financial data and charts
Business — Finance & Economics / Digital Economy & Development Economics

Next Generation Economic Modalities: How emerging economic modalities shape carbon reduction and sharing mechanisms

Mentor: Robert Lyon, NYU Stern School of Business Professor

Time: Course starts 2026/03/13 · Paper deadline 2026/07/10

Sustainable energy and environment
Business — Sustainable Development Economics

Sustainable Business Transformation under Circular Economy and Carbon Reduction Goals

Mentor: Robert Lyon, NYU Stern School of Business Professor

Time: Paper deadline 2026/07/10

Neural network and AI visualization
STEM — Computer Science & AI / Data Science

From Linear Programming to "Learning Well & Computing Stable" in Neural Networks

Mentor: David Woodruff, Carnegie Mellon University (Tenured Professor)

Time: Paper deadline 2026/06/26

Data optimization and algorithms
STEM — Computer Science & AI / Operations Research

The Secrets of Optimization & AI Algorithms

Mentor: David Woodruff, Carnegie Mellon University (Tenured Professor)

Time: Paper deadline 2026/06/26

Artificial intelligence and machine learning
STEM — Artificial Intelligence & Machine Learning

Algorithms for Big Data

Mentor: David Woodruff, Carnegie Mellon University (Tenured Professor)

Time: Paper deadline 2026/06/26

Robotics and autonomous systems
STEM — AI & Operations Research

Optimal Control and Planning via Dynamic Programming and Reinforcement Learning

Mentor: Peter Zhang, Carnegie Mellon University Professor

Time: Paper deadline 2026/07/10

Network data visualization
STEM — Data Science / Computer Science

Network Social Data Mining & User Behavior Pattern Analysis

Mentor: O.Y., Carnegie Mellon University (Tenured Professor, Electrical & Computer Engineering)

Time: Course starts 2026/07/12

Data science and statistical analysis
STEM — Data Science / Computer Science

Data Science Classification Techniques and Algorithms

Mentor: O.Y., Carnegie Mellon University (Tenured Professor, Electrical & Computer Engineering)

Time: Course starts 2026/08/02

A research paper is more than a credential. It's proof that your child can think at the level colleges are looking for.

Supernova Elite Education Destination
info@supernovaedu.com · 908-758-3488 超新星精英教育目的地
info@supernovaedu.com · 908-758-3488