Soraya Partow
My research focuses on AI alignment and safety, multi-agent systems, game theory for security, and auditable AI. I approach these problems with a decade of experience designing and operating large-scale production systems, and I am drawn to questions where theoretical rigor must meet deployment reality.
Highlights
Featured research
- Accepted
Values Alignment and Stability Tracking in Autonomous Agents (VAST): A Framework for Monitoring Moral Drift
IEEE ICAD 2026 — IEEE International Conference on Autonomous Decision-Making, 2026
- Accepted
Auditable On-Chain Governance for Autonomous AI Agents: A VAST-Blockchain Approach
IEEE ICAD 2026 — IEEE International Conference on Autonomous Decision-Making, 2026
- Accepted
Behavioral Game-Theoretic Defense Strategies for IoT Security under Bounded Rationality
IEEE ICC 2026 — IEEE International Conference on Communications, 2026
Focus
Research themes
AI Alignment & Safety
Formalizing what it means for a deployed system to remain aligned with a declared value specification, and designing evaluations that expose failure before users do.
Moral Alignment in Autonomous Agents
Operationalizing moral constraints as measurable properties of agent behavior, and tracking how those properties drift under deployment and adaptation.
Multi-Agent Systems
Studying how multiple learning agents interact, cooperate, and compete — and how alignment guarantees compose (or fail to compose) across agents.
Game Theory for Security
Modeling adversarial settings — IoT security, hardware Trojans, supply-chain attacks — using both classical and behavioral game theory to design robust defenses.