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As machines continue to advance in computational power, my work focuses on bridging the gap between their raw capabilities and the intuitive, context-rich reasoning of human intelligence. I design systems that foster true human-machine synergy, combining high-performance algorithms and robust data processing with GPU-accelerated, interactive visual environments. These systems are crafted not just for performance, but for alignment with human cognitive processes, enabling people to engage with complex 3D data in ways that feel natural and insightful. At the core of my research is the integration of geometric modeling, GPU-based interactive visualization, and domain-specific algorithms. I apply these methods to real-world challenges in fields such as power systems, healthcare and data sciences, building interactive tools that make complexity both accessible and actionable.
Beyond my research on exploratory visualization, I’m committed to rethinking how we teach digital systems. I focus specifically on two topics: microcontroller-based embedded systems and interactive graphics-based interfaces. As students increasingly encounter computing through high-level abstractions, I develop educational materials that reconnect modern software to its architectural roots—sparking curiosity, promoting understanding, and breaking down the "black box" perception of technology. This dedication informs my broader goal of fostering computer efficiency in tailoring solutions for diverse application domains, including decision-making.
More details on my projects are available here.
Capstone project opportunities for undergraduate students (in Portuguese)
Room 317
Phone: +55 (19) 3521-3795
Fax : +55 (19) 3521-3845
Last modified: Wed Mar 6 10:29:55 2013