My current research projects focus on:
A Community-Driven Scientific Workflow Recommender System
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Data Science Infrastructure Supporting Collaborative Big Data Analytics on the Internet
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An Intelligent Assistant Helping Scientists on Research
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AI-Powered Digital Health
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AI-Powered Data Center Innovation Engine
A Community-Driven Scientific Workflow Recommender System
The exponential growth of satellite measurements over the past four decades has created both unprecedented opportunities and significant challenges for Earth science research. While modern scientific workflows increasingly rely on interconnected, reusable software modules that can be chained into complex analytical pipelines, the scientific community continues to face substantial barriers in effectively sharing and repurposing these computational components. Despite remarkable advances in computing infrastructure, the adoption of modular workflows remains limited by difficulties in discovery, integration, and deployment across different research teams and computing environments. This project proposes a novel approach to these challenges by developing systematic methods to harness collective scientific expertise, enabling researchers to more effectively discover, adapt, and implement peer-developed Earth science modules. Our research focuses on service classification and semantic discovery mechanisms to enhance interoperability, intelligent recommendation systems for workflow optimization, and automated composition techniques with cloud-native deployment capabilities, all designed to facilitate widespread adoption of modular analytical workflows in Earth system science.
This project is sponored by National Aeronautics and Space Administration.
Data Science Infrastructure Supporting Collaborative Big Data Analytics on the Internet
Modern scientific and engineering breakthroughs increasingly depend on collaborative workflows and scalable data processing. This project seeks to develop an AI-powered data science infrastructure capable of transforming large-scale Internet-based analytics, enabling faster insights and more efficient discovery.
This project is supported by National Science Foundation and National Aeronautics and Space Administration.
An Intelligent Assistant Helping Scientists on Research
As academic publishing accelerates, traditional literature review methods struggle to keep pace. This project pioneers an intelligent research assistant powered by AI, empowering scientists to navigate the deluge of papers with precision—distilling essential insights and accelerating discovery.
This project is supported by National Aeronautics and Space Administration.
The goal of this project is to leverage artificial intelligence to enhance early diagnosis and monitor the progression of Alzheimer's disease and glaucoma.
This project is supported by National Institute of Health and University of Texas Southwestern Medical Center.
AI-Powered Data Center Innovation Engine
This project aims to develop an AI-Powered Data Center Innovation Engine (AI-PIE) as an intelligent core for next-generation data centers. Key components include: AI-native operations, federated learning for multi-facility intelligence, cybersecurity with resilient autonomy, and digital twin-driven AI thermal management.
