Research Areas at VRAIN. The Valencian Research Institute for Artificial Intelligence (VRAIN) conducts cutting-edge research across nine fundamental areas of artificial intelligence. With over 176 researchers and more than 30 years of experience, our work spans from theoretical foundations to practical applications in strategic sectors including health, agriculture, industry, privacy and security, autonomous robots, services, energy, and environmental sustainability.
Our research areas represent the core disciplines of modern AI, addressing challenges from natural language understanding to autonomous systems, from software quality assurance to privacy-preserving technologies. Each area contributes to VRAIN's mission of advancing AI research while ensuring its responsible and beneficial deployment in society.
Explore our research areas to discover how VRAIN is shaping the future of artificial intelligence.
01
Natural Language Processing
Enabling computers to understand, interpret, and generate human language across multiple languages—from speech recognition and machine translation to sentiment analysis and irony detection.
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Planning and Reasoning
Developing AI systems that make informed decisions, optimize complex processes, and plan sequences of actions—from urban mobility simulation to automated software testing and business process optimization.
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Software Analysis, Verification and Testing
Creating advanced automated testing tools and formal verification methods that ensure software correctness, security, and reliability—including our flagship TESTAR tool for GUI testing without manual scripts.
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Machine Learning and Deep Learning
Advancing visual artificial intelligence, deep neural networks, and perception systems—from computer vision and VR/AR/XR technologies to explainable AI and recommendation systems.
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Natural Computing
Drawing inspiration from biological, chemical, and physical processes to develop innovative computational paradigms—specializing in membrane computing and genomic information systems for precision medicine.
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Computational Logic and Automated Reasoning
Building systems that make rigorous logical inferences and reason about complex domains—from computational argumentation frameworks to automated decision support and knowledge representation.
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Intelligent Agents and Human-Centered AI
Pioneering multi-agent systems and human-AI collaboration technologies—from SPADE and Magentix2 platforms to smart cities, affective computing, and agreement technologies.
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AI, Privacy and Security
Addressing the critical intersection of AI with cybersecurity, data protection, and ethical computing—developing both AI-powered security systems and methods to ensure AI systems themselves are secure and trustworthy.
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Software Production Methods
Advancing model-driven engineering, conceptual modeling, and software development methodologies—from CAME environments and model-based automation to business process reengineering for Industry 4.0.
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