Research
Agentic AI security and resilient systems
The current program connects autonomous-agent security with long-running work on blockchain, cyber-physical systems, and software engineering.
Current direction
Autonomous agents increasingly act across model services, smart contracts, digital markets, and physical infrastructure. The research question is direct: how can these systems be audited, constrained, and kept resilient under adversarial conditions?
Agentic AI security and resilience
Current work examines how autonomous agents and multi-agent systems can be audited, secured, and made resilient when they interact with smart contracts, digital markets, and critical infrastructure.
- Agent verification and security auditing
- Adversarial and cooperative multi-agent learning
- Decentralized AI and secure agent infrastructure
- Security requirements for autonomous systems
Blockchain security and digital economies
Research on privacy, censorship resistance, maximal extractable value, decentralized finance, and protocol security in programmable blockchains.
- Blockchain privacy and stealth addresses
- Censorship resistance and protocol trust
- DeFi security, MEV detection, and market behavior
Cyber-physical and infrastructure security
Security for smart grids, microgrids, connected vehicles, and other systems where software and AI act on physical infrastructure.
- Cyber-resilient power-system protection
- Attack detection for smart grids and industrial systems
- Threat modeling for connected and IoT systems
- Secure decentralized energy systems
Software and requirements engineering
Requirements and systems engineering provide the methods used to study trust, security, and failure in complex digital systems.
- Security and privacy requirements
- Requirements engineering for decentralized systems
- Software architecture and architecture recovery