Research Lab

Decentralized Cybersecurity & Artificial Intelligence Lab (DCAILab)

Building secure, privacy-preserving, and intelligent systems at the intersection of decentralized cybersecurity and artificial intelligence to protect critical infrastructures.

Explore Research

Research Areas

Our work spans critical areas of cybersecurity and Artificial Intelligence, focusing on building robust, privacy-preserving systems for healthcare, industrial IoT, and smart environments.

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AI-driven and Autonomous Cybersecurity

Developing intelligent autonomous systems that detect, prevent, and respond to cyber threats in real-time using advanced AI techniques.

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Security of Agentic and Autonomous AI Systems

Ensuring the security and reliability of autonomous AI agents, protecting against adversarial attacks and ensuring safe deployment.

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Federated and Decentralized Learning

Advancing distributed machine learning approaches that enable collaborative model training while preserving data privacy and security.

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Privacy-Preserving Machine Learning

Developing privacy-aware AI systems using cryptographic techniques, differential privacy, and secure multi-party computation.

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Cyber-Physical and Industrial IoT Security

Protecting critical infrastructure through advanced security mechanisms for smart grids, industrial control systems, and IoT networks.

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Threat Intelligence & AI Governance

Building explainable AI systems with robust governance frameworks for threat detection, analysis, and response coordination.

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Web 3 Agents Security

Securing decentralized autonomous agents in Web3 ecosystems, including smart contracts, DeFi protocols, and blockchain-based systems.

Mission & Vision

The Decentralized Cybersecurity and Artificial Intelligence Lab (DCAILab) is dedicated to advancing the frontiers of secure and intelligent systems. Our research combines cutting-edge AI techniques with robust cybersecurity frameworks to address the most pressing challenges in protecting critical infrastructures.

We focus on developing privacy-preserving machine learning algorithms, secure federated learning systems, and autonomous cybersecurity solutions that can defend against sophisticated threats while maintaining user privacy and system integrity.

Our interdisciplinary approach brings together expertise in artificial intelligence, cryptography, distributed systems, and cybersecurity to create innovative solutions for healthcare, industrial IoT, smart cities, and emerging Web3 technologies.

15+
Research Projects
60+
Publications
10+
Collaborations
7
Focus Areas

Recent Publications

Explore our latest research contributions to the fields of cybersecurity and artificial intelligence.

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Meet the Researchers

Our diverse team of researchers, engineers, and students working together to advance cybersecurity and AI.

PI
Principal Investigator
Lab Director
Leading research in decentralized AI and cybersecurity for critical infrastructure.
SR
Senior Researcher
AI Security Lead
Specializing in adversarial machine learning and autonomous defense systems.
PD
Postdoctoral Fellow
Federated Learning Expert
Researching privacy-preserving distributed learning algorithms.
PhD
PhD Student
Web3 Security Researcher
Investigating security challenges in decentralized autonomous systems.

Contact Us

Interested in collaboration, joining our team, or learning more about our research?

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Location

University Campus
Research Building, Room 301

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Research Opportunities

We welcome graduate students, postdocs, and visiting researchers.