MIDA-Lab Machine Intelligence and Data Analytics (MIDA) Lab

MIDA-Lab

Greetings from MIDA Lab! We are a research lab at the University of Idaho focusing on high-impact AI/ML research and education. Members of the lab are doing amazing research and transforming the world by developing groundbreaking AI/ML methodologies that enable future dependable, trustworthy, ethical, and efficient machine intelligence. Join us to shape the future of AI.

Our Research

Trustworthy AI

Trustworthy AI

Trustworthy AI aims to design and deploy transparent, robust, and privacy-preserving AI approaches and models. Our focused areas include generalizability evaluation, interpretable AI, and uncertainty quantification.

Robust and Safe AI

Robust and Safe AI

Robust and safe AI aims to develop AI models and systems that perform well in various conditions, including unexpected errors, attacks, and environmental changes.

Generative AI

Generative AI

Generative AI uses generative models to produce text, images, videos, or other forms of data. These models create new data by learning the underlying patterns and structures of the training dataset.

Large Language Models (LLMs)

Large Language Models (LLMs)

We focus on developing multi-modal LLMs, causal discovery, and text classification.

MedAI

MedAI

MedAI aims to develop and evaluate new AI methodologies to enable precision healthcare, including fully automated disease detection, histopathology image analysis, AI-enhanced physical rehabilitation, etc.

Materials Science-AI

Materials Science-AI

Materials Science-AI aims to develop innovative AI methodologies for physics-informed modeling and accelerate critical materials characterization and development.