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 S&P, ACM CCS, IEEE TDSC, ACM TOPS, and IEEE TKDE.

Prior to joining ISU, he was a Research Scientist at CSIRO’s Data61, Australia’s leading digital research network.

👉 Access my CV here

I am always looking for motivated students, visiting scholars/students, and undergraduate researchers.
Please email your application materials to Dr. Meisam Mohammady if you are interested in our research.
Graduate admission information can be found here.

Recent News

• Our collaborative grant with UConn, UW, and IIT on Privacy-Preserving Collaborative Data Sharing for Intelligent Transportation has been awarded by NSF PDaSP (2025–2028). Many thanks to NSF for their support.
• Our paper PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization was accepted at ACM CCS 2025. Congrats to Qin, Nicholas, Ayesha, and the team!
• Our work FedSIG: Privacy-Preserving Federated Recommendation via Synthetic Interaction Generation was accepted at RAID 2025. Congrats to Thirasara and the team!
• Our paper Towards Usability of Data with Privacy: A Unified Framework for Privacy-Preserving Data Sharing with High Utility was accepted at ASIACCS 2025. Congrats to Chamikara and the team!
• Our work Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence was accepted at CODASPY 2025. Congrats to Shuya and the team!
• Our paper UD-LDP: A Technique for Optimally Catalyzing User Driven Local Differential Privacy will appear in Future Generation Computer Systems (FGCS 2025). Congrats to Gnana and the team!
• Our joint patent Utility Optimized Differential Privacy System has been granted (U.S. Patent No. 12321478). Congrats to Mengyuan and the team!
• Our paper DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming appeared in IEEE S&P 2024. Congrats to Shuya and the team!