Wu, Shin - Ting
Department of Computer Engineering and
Industrial Automation
(DCA)School of Electrical and Computer Engineering (FEEC)
State University of Campinas (Unicamp)
Education
- Livre Docência em Projeto Assistido por Computador e Computação Griáfica (1998), State University of Campinas (Unicamp)
- Dr.-Ing. (1991), Technical University of Darmstadt (THD)
- Mestre em Engenharia Elétrica (1984), State University of Campinas (Unicamp)
- Engenheiro Eletricista (1981), Fedegal University of Minas Gerais (UFMG)
Interest Areas
- Geometric Modeling
- Computer Graphics
- 3D Interactions in 2D WIMP Interfaces
- Visual Analytics
- Microcontroller-based Embedded Systems
Research
While machines continue to grow in computational power, they still lack the intuition, contextual understanding, and subjective experience that characterize human intelligence. The most effective solutions to complex problems arise from a synergy between humans and machines. My work focuses on enabling this synergy by combining the robust data processing capabilities of machines with human knowledge and insight through visual interactions. This approach requires a two-fold effort: a robust, scalable back-end to support modular integration and complex algorithms, and a seamless front-end that enables users to engage with minimal cognitive load. For these systems to feel natural and effective, both algorithms and interactions must align with human cognitive processes.
My research integrates three core areas: geometric modeling, interactive GPU-based visualization, and domain-specific algorithms. I apply and extend these techniques to develop interactive systems and tools that better represent, simulate, and enable interaction with complex real 3D data. This work spans from foundational algorithms in differential geometry to real-world applications in domains such as power systems and healthcare.
In addition to my research on human-machine synergy, I focus on the growing challenge of teaching digital systems in an era where students increasingly view technology as a "black box." This perception, reinforced by high-level educational tools and curricula, often discourages engagement with foundational concepts like digital logic and memory architecture. To counter this, I develop methods and materials that connect high-level applications to the machine's inner workings, aiming to spark curiosity and deepen students' understanding of computational and architectural principles.
More details on my projects are available here.
Opportunities for undergraduate studentsTeaching
Undergraduate Level
- EA801 (in Portuguese)
- EA701 (in Portuguese)
- EA075 (in Portuguese)
- EA076 (in Portuguese)
- EA871 (in Portuguese)
- EA773 (in Portuguese)
- EA978 (in Portuguese)
- EA079 (in Portuguese)
- EA078 (in Portuguese)
- EA878: Laboratório de Micro e minicomputador: Software
- EA877: Micro e minicomputador: Software
- EA870 (in Portuguese)
- EA869 (in Portuguese)
- EA772 (in Portuguese)
- EE623: Laboratiório de Eletrônica
- EE531 (in Portuguese)
Graduate Level
- IA376M/EA099M (Topic: Análise Visual em Ciência de de Dados) (in Portuguese)
- IA376I/EA099I (Topic: Análise de Dados Visual) (in Portuguese)
- IA376A (Topic: Analítica Visual de Dados) (in Portuguese)
- IA841 (in Portuguese)
- IA727 (in Portuguese)
- IA369E (Topic: Interactive Volume Visualization) (in Portuguese)
- IA369P (Topic: Implementation Issues in Data Visualization) (in Portuguese)
- IA725 (in Portuguese)
- IA369C (Topic: Information Visualization) (in Portuguese)
ting at dca dot fee dot unicamp dot br (ting at unicamp dot br)