Director, Software and System Security Lab (SSS Lab)
    Assistant Professor, Department of Computer Science
    College of Engineering and Computer Science
    Texas A&M University - Corpus Christi
    Office: CI332
    Phone: 361-825-2448
    Email: yongzhi.wang@tamucc.edu & yongzhiwang@icloud.com
    My

Short Bio

Hello, I am the Director of Software and System Security (SSS) Lab and an Assistant Professor of Computer Science at Texas A&M University - Corpus Christi (TAMUCC). Prior to joining TAMUCC, I was an associate professor at Park University. I received my Ph.D. degree from the School of Computing and Information Sciences at Florida International University and received my M.S. and B.E. degrees in computer science at Xidian University.

Research Interests

My research interests include software security, system security, cloud computing, edge computing. I have published over 40 peer-reviewed research articles in premium journals and conferences, such as IEEE Transactions on Computers(TC), INFOCOM, TIFS, Computers & Security, etc. My recent research interests include confidential computing, database, federated learning, etc.

Recruiting

One student worker position is avalible. If you are interested, please contact me. You have to be a US citizen or green card holder.

News

[10/2024] We received $20,000 of Google Cloud Platform Credits from Google Inc. Thank you, Google!

[09/2024] Two PhD students, Ahsan Habib and Mariah Roberts, are joining our team. Welcome!

[05/2024] One Master students, Tejasv Singh, is joining our team. Welcome!

[06/2024] Our project "Protect On-Device AI Security with Multi-Enclave Architecture and Autoencoder" is funded by CAHSI-Google.

[05/2024] Our paper "Towards Protecting On-Device Machine Learning with RISC-V based Multi-Enclave TEE" was accepted by The 14th International Workshop on Security, Privacy, and Trust for IoT (IoTSPT 2024). See you in Hawaii!

[05/2024] Venkata Ramya Boggaram received a Master of Computer Science at TAMU-CC. Congratulations, Ramya!

[05/2024] One Undergraduate student, Zach Kao, is joining our team. Welcome!

[04/2024] Our paper "Sort-then-insert: A space efficient and oblivious model aggregation algorithm for top-k sparsification in federated learning" was published in Future Generation Computer Systems