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.
Abu Dhabi, United Arab Emirates
Davor Svetinovic
Research on agentic AI security, decentralized systems, blockchain privacy and censorship resistance, and cyber-physical resilience.
Computer science professor at Khalifa University and Visiting Fellow at ADIA Lab
Profile
About
Davor Svetinovic is a computer science professor and Associate Chair for Graduate Studies at Khalifa University. He is also a Visiting Fellow at ADIA Lab.
His current research asks how autonomous agents, multi-agent learning systems, smart contracts, and cyber-physical infrastructure can be made secure, auditable, and resilient.
He previously served as a Full Professor and Director of the Research Institute for Cryptoeconomics at WU Vienna, and held visiting and affiliated research roles at MIT. He holds a PhD in Computer Science from the University of Waterloo.
Selected leadership
- Associate Chair for Graduate StudiesKhalifa University2025-present
- Head and Director, Research Institute for CryptoeconomicsWU Vienna2021-2024
- Theme Lead, Cyber-Physical Systems and Blockchain TechnologyKhalifa University
Research
Current directions
Blockchain security and digital economies
Research on privacy, censorship resistance, maximal extractable value, decentralized finance, and protocol security in programmable blockchains.
Cyber-physical and infrastructure security
Security for smart grids, microgrids, connected vehicles, and other systems where software and AI act on physical infrastructure.
Software and requirements engineering
Requirements and systems engineering provide the methods used to study trust, security, and failure in complex digital systems.
Publications
Selected work
An AI-Based Supervisory Measurement Integrity Validation Layer for Cyber-Resilient AC/DC Protection in Inverter-Based Microgrids
MEV Detection for Ethereum Security: An Empirical Analysis on Agreement and Scalability
Blockchain Censorship
On the Security and Privacy Implications of Large Language Models: In-Depth Threat Analysis
Collaboration
Research leadership, supervision, and invited talks
Current interests include agentic AI security, decentralized digital economies, and cyber-physical resilience.
Advising and collaboration