Research Areas

Explore our research areas and discover the people and projects behind them.

Artificial Intelligence

Development of machine learning and deep learning algorithms designed to enable computer systems to learn, reason, and adapt autonomously. Research includes neuro-symbolic AI, natural language processing (NLP), and edge AI model optimization.

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Blockchain

Investigation of decentralized architectures, cryptographic protocols, and distributed consensus algorithms to ensure data security, transparency, and immutability. Applications include smart contracts, supply chain traceability, and sovereign digital identity systems.

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Computer Arithmetic

Analysis of the theoretical foundations, data representations, and hardware implementations for executing mathematical operations in processors. It aims to design high-speed, low-power digital circuits essential for hardware-accelerated AI.

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Computer Graphics

Research on methods for generating, manipulating, and rendering digital 3D models and images. The focus is on real-time 3D graphics optimization and physical simulation for industrial, scientific, and entertainment applications.

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Computer Vision

Methodologies allowing digital systems to process, analyze, and interpret complex visual data from the real world. This includes object tracking and recognition, semantic segmentation, and 3D scene reconstruction for autonomous agents and cognitive robotics.

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eXtended Reality

Integration of Virtual, Augmented, and Mixed Reality (VR, AR, and MR) to seamlessly merge the physical world with interactive digital content. Focus areas include spatial computing, immersive perception, digital twins, and advanced wearable interfaces.

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Human-Machine Interaction

Analysis, design, and evaluation of user interfaces to optimize communication, cooperation, and user experience between humans and computer systems. Strategic focus on accessibility, multimodal interaction (voice, gesture, haptics), and cognitive ergonomics.

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Quantum Computing

Exploration of computational paradigms based on quantum mechanics principles (such as superposition and entanglement) to solve problems intractable for classical supercomputers. Research focuses on quantum algorithms and post-quantum cryptography security.

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