学生イノベーションプロジェクトのショーケース
学生コミュニティによるクリエイティブなプロジェクトの紹介
Hindsight: A Knowledge Graph Layer for Navigating Large Codebases
Evaluating how structural representations of software repositories can improve retrieval, localization, and multi-file reasoning in AI-assisted code intelligence.
Connected Context for Safer Software Change
Making software change easier to understand, evaluate, and act on in complex systems.
Safer Workflows for AI-Assisted Coding
Exploring how beginner-friendly version control can help people manage the code they create with AI.
AURA: AI-Augmented Innovation Research
Advancing evidence-based discovery through domain-aware hypothesis generation and evaluation.
In-Context Learning for LLMs
Researching how large language models infer rules, manage ambiguity, and adapt to new tasks through context alone.
Make ohio 2026
MakeOHI/O 2026 brought together Ohio State students to design and prototype AI-powered hardware solutions for improving campus public transit.
Adaptive Retrieval Architectures for Agentic Software Engineering
An applied research capstone examining the limits of knowledge graphs, adaptive feedback, and precomputed context in agentic software engineering workflows.
Kaleidoscope
An AI-powered innovation intelligence engine for building distinct, validated idea portfolios
Finding the Path from Zero to One in Robotics Commercialization
A framework for evaluating and scaling emerging robotics opportunities in large enterprises
LA28 Node-to-Node Mobility System
A node-based, EV-first mobility concept for moving people reliably during LA28
Omen: Network Testbed Pipeline
Automated, JSON-driven experiments for exploring network topologies with interactive result dashboards.
Multi-Agent Trend Intelligence with LLMs
A four-layer “Trend Identification Pyramid” that gathers multi-source signals, scores evidence transparently, and synthesizes actionable insights.
Innovation Mining for Patents
Using LLM-driven analysis, similarity search, and knowledge graphs to reveal overlooked applications at scale.
Privacy-Preserving Group Coordination Sensing
Edge-based sensing pipeline to interpret group motion patterns in shared spaces
AURA: Autonomous Understanding & Research Assistant
Retrieval-first AI for research ideation, planning, and reports.
Evaluating Context Strategies for LLM Agents
Measuring how design choices impact outcomes and efficiency
Iterative Refinement of LLM-as-Judge Framework
Scalable, Domain-Aware Evaluation for More Reliable AI-Generated Summaries
Scalable Summary Evaluation with LLMs
Automated quality measurement and refinement aligned with human judgment
Transforming Slide Decks into Searchable Knowledge
Implementing a Retrieval-Augmented Generation System to Unlock Historical Presentation Data
UrbanWind VAWT
A compact vertical-axis wind turbine concept for reliable power in turbulent campus and building-edge winds.
Recall Recon: Predicting Automotive Safety Recalls with AI
AI-driven research on forecasting vehicle safety recalls using machine learning and RAG techniques.
Learning Visual Understanding Through Multimodal Systems
Exploring Vision-Language Models, Prompt Design, and Feedback Loops for Real-World Scene Interpretation
Tackling the ARC Challenge: A Hybrid AI Approach to Machine Reasoning
A Neuro-Symbolic Learning Framework
Fourth Trimester Health: A Connected System for Postpartum Care
Sensor fusion, real-time anomaly detection, and AI-driven reporting for maternal health.
Reviving Obsolete Patents: LLMs for Innovation Discovery and Cross-Domain Application
Unlocking hidden value in patents using LLMs, modular reasoning, and knowledge graphs.
MSX: Designing Future In-Car Experiences for the Autonomous Era
Transforming self-driving cars into shared mixed reality spaces.
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