Scholar
Stacy Patterson
Google Scholar ID: 7b_ipvgAAAAJ
Associate Professor, Rensselaer Polytechnic Institute
Citations & Impact
Citations
1,659
H-index
22
i10-index
42
Publications
20
Co-authors
34
list available
Publications
Resume (English only)
Academic Achievements
- Her research has been supported by grants from NSF, the RPI-IBM AI Research Collaboration, and the NSF IUCRC Center for Research toward Advancing Financial Technologies (CRAFT). She has collaborated with industry partners including PSEG, IBM, and Swift. Recipient of a Clare Boothe Luce Assistant Professorship, the IEEE Control Systems Society George S. Axelby Outstanding Paper Award, and the NSF CAREER Award.
Research Experience
- Current projects include: Privacy-preserving federated learning for financial fraud prevention, private synthetic data generation for financial applications, quantum machine learning, performance optimization for Gen AI (with applications in information retrieval and code generation), and formal verification for safety-critical systems (such as future aviation systems).
Education
- M.S. and Ph.D. degrees in Computer Science from the University of California, Santa Barbara. Subsequently held postdoctoral appointments with the Center for Control, Dynamical Systems, and Computation at UC Santa Barbara, and with the Department of Electrical Engineering at the Technion—Israel Institute of Technology.
Background
- Associate Professor and the Associate Head and Graduate Program Director in the Department of Computer Science. Her research focuses on distributed computing systems, machine learning, and data privacy, applying mathematical theory and formal verification to derive provable guarantees about practical applications.
Miscellany
- Recent News: [October 2025] Our paper 'Optimal Assignment and Motion Control in Two-Class Continuum Swarms' will appear in IEEE Transactions on Control of Network Systems. [January 2025] Our paper 'Formal verification of timely knowledge propagation in airborne networks' is published in Science of Computer Programming. [January 2025] Our paper 'Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models' has been accepted to ICLR. Congratulations Linh!
