About Me

I am an Assistant Professor of Computer Science and Software Engineering at Miami University. Prior to joining Miami University, I was an Assistant Professor of Cybersecurity program at UTRGV. I obtained my Ph.D.in the Department of Computer Science under supervision of Professor Xiuzhen Cheng at the George Washington University (GWU). Here is my current CV.

Research Interests

• Differential Privacy

• AI Security

• Wireless and Mobile Security

• Federated Learning and Edge Computing

• Social Networkd and Big Data

I'm Looking For Self-Motivated Students. Feel Free To Contact Me With Your CV.

News

• November 2024: I was invited to serve as a Panelist at NSF.

• September 2024: I’m pleased to announce that our grant, for which I serve as the PI, “Multidisciplinary Pathways to Cybersecurity Professionals,” has been awarded by NIST.

• August 2024: Our paper entitled “Curse to Blessing: Leveraging Model Inversion Attacks to Detect Backdoor Attacks in Federated Learning” has been accepted by IEEE IPCCC 2024.

• July 2024: Our paper entitled “Reducing Latency in MEC Networks with Short-Packet Communications” has been accepted by IEEE Transactions on Vehicular Technology.

• May 2024: Our paper entitled “Byzantine-Robust Federated Learning Based on Blockchain” has been accepted by IEEE WASA 2024.

• November 2023: I was invited to serve as a Panelist at NSF.

• October 2023: Our paper entitled “On the Performance of Uplink NOMA Short-packet Communication System” has been accepted by IEEE Transactions on Vehicular Technology.

• August 2023: Our paper entitled “Adaptive Edge-Level Personalization on Hierarchical Federated Learning” has been accepted by IEEE IPCCC 2023.

• July 2023: Our paper entitled “Alliance Makes Difference? Maximizing Social Welfare in Cross-Silo Federated Learning” has been accepted by IEEE Transactions on Vehicular Technology.

• April 2023: I’m honored to get the award of RSA Grant: Privacy-Preserving and Robust Federated Learning for IoT Systems at Miami University as PI.

• April 2023: Our paper entitled “DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization” has been accepted by IEEE transactions on Knowledge and Data Engineering.

• More: (Older News).