Scholar
Meisam Mohammady
Google Scholar ID: UL-3sUgAAAAJ
Assistant Professor at Iowa State University
Citations & Impact
Citations
254
H-index
8
i10-index
8
Publications
20
Co-authors
42
list available
Publications
Resume (English only)
Academic Achievements
- 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). Recent achievements include: PLRV-O: Advancing Differentially Private Deep Learning via Privacy-Loss Random Variable Optimization; Lap₂: Revisiting Laplace DP-SGD for High Dimensions via Majorization Theory; FedSIG: Privacy-Preserving Federated Recommendation via Synthetic Interaction Generation; NSF Collaborative Grant Awarded for Privacy-Preserving Collaborative Data Sharing for Intelligent Transportation; Towards Usability of Data with Privacy: A Unified Framework for Privacy-Preserving Data Sharing with High Utility; Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence.
Research Experience
- Prior to joining ISU, he was a Research Scientist at CSIRO’s Data61, Australia’s leading digital research network.
Background
- 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.
Miscellany
- He is always looking for motivated students, visiting scholars/students, and undergraduate researchers.
