I am an incoming PhD student in the Computer Science Department at University of Arizona, advised by Professor Zhuolin Yang. I received my bachelor degree in Computer Science and Technology at Shanghai University and my master degree in Security Informatics at Johns Hopkins University.

Before my graduate study, I worked as a cybersecurity engineer in industry, specializing in security monitoring, security operations and security project management such as NDR, EDR, SAST and mobile application security.

My research interest focuses on physical-layer security, low-level hardware and software security.

I have worked in a counter-drone project where we developed a C-UAV (Counter-Unmanned Aerial Vehicles) platform to detect and mitigate malicious drones using sensor fusion (RF, camera, acoustic etc.). I led mitigation testings across different commercial drones, evaluating GPS spoofing, Wi-Fi deauthentication, optical, infrared, and ultrasonic interference attacks.

I have also involved in a cloud security project that builds a unified, provider-agnostic abstraction for IAM that connect through AWS, GCP, and Azure.

Beyond computer science, I have deep interests in astronomy, calligraphy, cello, tennis, detective stories, and Sci-Fi. :)

Completed

Instructors:
Reuben Johnston, Soudeh Ghorbani

Group members:
Ruohua Chen, Shihui Zhou, Maoxun Zhao, Xuecheng Wang

Johns Hopkins University

Multi-Cloud Security Policy Orchestration: An Abstraction Layer for IAM Management

Developing a unified IAM abstraction layer that integrates IAM components from multi-cloud providers and models them as a graph for intuitive governance. The system supports bidirectional synchronization, static permission mapping, and diff-based updates. The unified IAM data model and normalized permission mapping enable security teams to manage cross-cloud identities through a single, intuitive interface while preserving platform-specific semantics.

Cloud Security Identity and Access Management (IAM)
2025

SICSI '25

Dark Drones: Can They Be Automatically Detected and Mitigated?

Isaiah Henry-Simpson, Hortencia Mendoza, Anjie Shen, Xuecheng Wang, Yinzhi Cao, Lanier Watkins

First IEEE International Workshop on Secure Industrial Control Systems and Industrial IoT (SICSI'25), co-located with IEEE CNS, 2025.