EAQ Research

Advancing the frontier of data discovery

Pioneering Research

At EAQ, we bridge the gap between cutting-edge query technology and academic innovation. Our research drives transformative advances in real-time data systems.

Research Domains

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AI Query Optimization

Machine learning models that auto-tune complex query patterns for optimal performance and accuracy.

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Distributed Systems

Research into horizontal scaling for real-time analysis across massive data volumes with sub-millisecond latency.

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Data Security

Quantum-resistant encryption methods and dynamic access control for enterprise-grade data protection.

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Predictive Analytics

Next-generation forecasting models that learn and adapt from live data streams in real-time.

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API Governance

Research into autonomous contract enforcement for public data interfaces across global enterprise networks.

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Query Intelligence

Cognitive computing techniques that understand and respond to natural language data requests with precision.

Research Publications

Quantum-Resistant Query Encryption for Enterprise Systems

April 2025 - ICDM Conference

Pioneering work on post-quantum cryptography applied to real-time database queries...

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Temporal Query Optimization using Reinforcement Learning

March 2025 - SIGMOD Conference

Breakthrough in AI systems that optimize query execution paths in real-time...

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Academic Collaborations

MIT
CMU
Stanford
UCL

EAQ partners with leading academic institutions to explore the next generation of data science. Our joint research initiatives focus on quantum computing, AI ethics, and large-scale data architectures.

Research Proposals

Want to collaborate with EAQ? Join our research initiative and help shape the future of data science.