AI to slow and reverse Alzheimer - Katy Tarrit(ICS)

The project aims to develop a novel AI-powered approach that is culturally tailored to Hawaiʻi’s diverse population and integrates multiple physiological data sources—including brain activity and other biomarkers—to better understand and combat Alzheimer’s disease.

KolokoloChat - Mahdi Belcaid(ICS) & State Judiciary

Judiciary AI chatbot

The goal of this project is to create a chatbot for Hawaiʻi’s state judiciary that simplifies access to court-related information.

AI-driven medical education - Kanoho Hosoda(JABSOM), Haopeng Zhang (ICS), Michele Favreau (JABSOM), & Brayden Wacker(JABSOM).

Developing Culturally Responsive AI for Rural Health: Utilizing Precision Education and Precision Coaching to Strengthen Hawaiʻi’s Rural Physician Workforce,

SAGE3 - Jason Leigh(ICS),Chris North(Virginia Tech) & Andrew Johnson(University of Illinois Chicago)

SAGE3 is a $5M project that develops software and systems to enhance collaboration between people and AI, empowering society to make better decisions, foster creativity, and build shared understanding in addressing complex societal and scientific challenges.

Pineapple Powerhouse - Huaijin Chen(ICS), Daniel Jenkins(PEPS CTHR), Robert Paul(TPSS CTHR) & Ryan Kurasaki(MBBE CTAHR)

from UH News: Armed with a drone, robot and vision for the future of farming, a team of University of Hawaiʻi at Mānoa undergraduate students developed an AI-powered system to count and size pineapples in the field—earning them the international Farm Robotics Challenge 2025’s Excellence in Productivity (Air) award and a $10,000 prize.

Sage Grande - Jason Leigh(ICS),Tom Giambelluca, Han Tseng, Anke Kuegler, Chis Shuler(Water Resources Research Center) & Pete Beckman(Northwestern University)

Sage Grande is a $27M national project deploying AI-powered environmental sensors to provide faster, on-site monitoring and warnings for natural disasters like wildfires, floods, and volcanic eruptions while giving students hands-on AI experience.

* Innovation in Artificial Intelligence: From fragmentation to wholeness - Guylaine Poisson(ICS),Eliane Ubalijoro(CIFOR-ICRAF) & Kyungim Baek(ICS)

Artificial intelligence is shaping the future of humanity. But what happens when only a fraction of society is at the table that is defining that future?

Generative Model for Biomedical Event Extraction - Haopeng Zhang(ICS)

AI model that improves how computers understand complex medical events in text.

Change Hawaiʻi - Jason Leigh(ICS),Tom Giambelluca(Water Resources Research Center). Helen Turner(Chaminade) & Shivani Tanaka, Sean Cleveland(ITS, UH System)

Change Hawaiʻi is a $20M research and education project that builds programs and infrastructure to expand the role of AI in Hawaiʻi, aiming to strengthen workforce development, foster innovation, and support communities in addressing urgent environmental, social, and scientific challenges.

AI Highschool program - Mahdi Belcaid(ICS) & Project Hōkūlani(COE)

Artificial intelligence (AI) to improve how doctors process and treat patients.

AI for astronomy - Peter Sadowski(ICS), Xudong Sun(IFA) & Eric Gaidos(Earth Sciences SOEST)

AI models for analyzing data from the Daniel K. Inouye Solar Telescope (DKIST) on Maui

AI for medical imaging - John Shepherd (UHCC) & Peter Sadowski(ICS)

Federated learning for AI in Medicine. Key Alliances for Networked Insights in Hawaii (KANI Hawaii)

Action Planning in Agentic AI - Mahdi Belcaid(ICS)

Exploring new Action Planning approaches in Agentic AI to improve autonomous decision-making and adaptability in intelligent systems.

AI to guide HPC simulations - Alice Koniges(ICS)

A wide variety of applications that join AI with High Performance Computing for the solution of large complex physical problems.

Stance Detection In Board Meetings Using Language Models - Mahdi Belcaid(ICS)

Stance Detection in Board Meetings Using Language Models to analyze board members and participants’ positions and dynamics in in public hearings and government board meetings.

Hawaii Pod: Abundant Intelligences: Expanding Artificial Intelligence through Indigenous Knowledge Systems - Jason Leigh(ICS), Bryan Kuwada (Hawaiian Studies SHK), Susan Crow (NREM CTHR), Manulani Meyer(Kūlana o Kapole​i)

The “Abundant Intelligences” project, focused on broadening the scope of artificial intelligence by integrating Indigenous knowledge systems, is guided by Indigenous leadership. It unites 37 researchers and partners representing eight universities and 12 community-based Indigenous organizations across Canada, the United States, and New Zealand.

Endangered languages AI tools developed by UH researchers - Haopeng Zhang(ICS) & Kaiying Lin (Lingusitics CALL)

Through this research, communities may be able to record and preserve their languages, promote learning and revitalization efforts, and create technologies that are more accessible for those who speak less widely used languages.

Multimodal Diffusion Model in Computaitonal Biology - Mahdi Belcaid(ICS)

Investigating Multimodal Diffusion Models, such as those combining DNA and proteins Computational Biology to better account for allosteric regulation.

AI for weather and climate modelling - Peter Sadowski(ICS)

Score-Based Diffusion Models for Probabilistic Forecasting of Weather and Climate.

AI for microbiome science - Peter Sadowski(ICS) & Nicole Hynson(PBRC)

MIM: Using Machine Learning and a Model Watershed to Understand how Microbes Govern Food Web Architecture and Efficiency

Normalizing flow discriminator-driven particle filtering - Andrey Popov(ICS)

This project aims to use normalizing flows to improve resampling in particle filter methods

Next generation multi-modal query optimizer with the latest AI techniques. - Yifan Wang(ICS)

Large language model (LLM) based query optimizer is designed for efficient multi-modal, semantic data processing

Uncanny Discourse - David Conner(ICS), Kapono Gaughen(CIS), Yuri Kenney(LIS) & Jennifer S. Winter(SCI)

As organizations strive to adopt artificial intelligence tools and related technologies, this modeling language can provide a better understanding of the complexities of AI’s interactions with the organization and its stakeholders.

Language Models in Viral Proteomics and Viral Ecology - Mahdi Belcaid(ICS)

Language Models in Viral Proteomics and Viral Ecology to enhance understanding viral dynamics, viral evolution and how genotypes related to observed phenotypes.