Research Overview

Research Areas: AI/ML, Data Mining, Cybersecurity, and Public Health.
I and my research group are very passionate about developing novel yet elegant techniques to solve real-world problems that generate broader impacts. By harnessing large-scale, multi-source, multi-modality data, we discover new research problems, propose novel machine learning (especially graph learning and multimodal learning) models, and develop advanced AI techniques for real-world driven applications in cybersecurity and public health. More specifically, we strive to advance knowledge and science in graph learning and trustworthy multimodal learning, bridge AI/ML and cybersecurity concentrating on AI security, large-scale malware detection, and the study of the evolving underground ecosystem, and develop AI and data-driven techniques to combat the opioid crisis and infectious disease outbreaks.

Integrating humanity and technology, our long-term goal of research is to advance capabilities and trustworthiness of AI to provide state-of-the-art innovations i) to secure cyberspace for its users, and ii) to improve health and well-being of people around the world.

Research Sponsors: National Science Foundation (NSF), Department of Justice (DoJ)/National Institute of Justice (NIJ).
"Innovation, research and education - for a better world!" We deeply appreciate the National Science Foundation (NSF) programs of Information and Intelligent Systems (IIS): Information Integration and Informatics (III), Secure and Trustworthy Cyberspace (SaTC), Office of Advanced Cyberinfrastructure (OAC), and Disrupting Operations of Illicit Supply Networks (D-ISN), and the Department of Justice (DoJ)/National Institute of Justice(NIJ) for the strong support on our research works. THANK YOU!

Current Research and Impacts

Media Press

Press Coverage: Our works on fondamental research in AI/ML (especially graph learning) and bridging AI and data science with cybersecurity and public health have generated significant industrial and societal impacts, which have attracted positive media attentions by various news media outlets. For examples,