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AIRES

AIRES / Student Works

Original work.
AI in practice.

Explore student research and innovation: the questions, the methods and the work they created.

Two pathways / Selected projects

Research. Entrepreneurship. Innovation.

Choose a pathway

Nature-Inspired Drone Design

L.C. UC Berkeley 2026

AI in Engineering & Innovation*

Problem explored

How could AI connect bird body and tail shapes with more effective drone aerodynamic design?

Student output

A research paper exploring how AI could connect the shapes of birds’ bodies and tails with more effective drone design.

Approach and learning

The project examined existing research on modeling bird shapes and improving how drones move through the air, identifying gaps between current methods and a combined design approach.

Rare-Disease Monitoring

Y.Y. UC Berkeley 2026

Biomedicine & Health

Problem explored

What would make AI-supported remote monitoring safe and useful for people with spinal muscular atrophy?

Student output

A structured review examining AI-driven digital biomarkers for rare-disease monitoring, with attention to human behavior, AI overreliance, statistical governance, and clinical implementation.

Adolescent Trust in Digital Information

J.M. Yale 2026

Business & Society

Problem explored

How do warnings about AI-generated content affect adolescents’ trust in online images?

Student output

A research study examining how warnings about AI-generated content affect teenagers’ judgments of online images.

Approach and learning

The findings suggested that warnings made participants more skeptical, but also more likely to mistake genuine images for AI-generated content.

Heart Disease Detection & Prevention

P.G. UC Berkeley 2026

Biomedicine & Health

Problem explored

How might AI-assisted heart-scan analysis support earlier detection and more personalized prevention of coronary artery disease?

Student output

A literature-based paper examining AI-assisted coronary CT analysis, weighing its potential for identifying hidden risk against the need for further validation and physician oversight.

Sports Movement Assessment

S.F. UC Berkeley 2026

AI in Engineering & Innovation*

Problem explored

Could existing AI movement-assessment tools help coaches evaluate synchronization in team skating?

Student output

A theoretical review exploring how pose estimation and motion-tracking technologies could support synchronized-skating analysis, identifying possible coaching applications and areas requiring further validation.

Corporate Finance & Risk

C.S. UC Berkeley 2026

Business & Society

Problem explored

How is AI changing market-risk forecasting and financial decision-making in large companies?

Student output

A comparative literature review examining AI in corporate finance, considering forecasting capabilities alongside transparency, bias, systemic risk, and the continued importance of human judgment.

* AI in Engineering & Innovation was the 2026 focus name. It has since been updated to Robotics & Intelligent Machines to allow more maker-space and physical product development.

Basic project information and student attributions are published with permission.