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

All positions are filled.

News

[5/2025] Our paper "Detecting Black-box Model Probing Attacks Through Probability Scores" was published in IEEE Access! [pdf]

[5/2025] Our paper "Protect Data Confidentiality for On-device Machine Learning through Split Inference" has received the Best Paper Award from The 10th International Conference on Fog and Mobile Edge Computing (FMEC 2025), Tampa, Florida, USA. [pdf]

[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 2024 33rd International Conference on Computer Communications and Networks (ICCCN), Kailua-Kona, HI, USA. [pdf]

[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. [pdf]