Meisam Mohammady
About
Dr. Meisam Mohammady is an Assistant Professor in the Department of Computer Science at Iowa State University (ISU), where his research focuses on developing responsible Machine Learning methods that are privacy-preserving, adversarially robust, and fair, leveraging tools such as Differential Privacy, Learning Theory, and Optimization, with applications in High Performance Computing (HPC), Federated Learning (FL), Networking, Anomaly Detection, and Private Retrieval. His research has been published in top-tier conferences and journals such as IEEE Symposium on Security and Privacy (IEEE S&P), ACM Conference on Computer and Communications Security (ACM CCS), ACM Transactions on Intelligent Systems and Technology (ACM TIST), IEEE Computer Security Foundations Symposium (IEEE CSF), IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), ACM Transactions on Privacy and Security (ACM TOPS), and IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
Research Performance Summary
First Recorded Paper
Differentially private MIMO filtering for event streams and spatio-temporal monitoring
Year: 2014
Citations: 16
Venue: 53rd IEEE Conference on Decision and Control
Latest Recorded Paper
Utility optimized differential privacy system
Year: 2025
Citations: 0
Venue: US Patent 12,321
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.