Academic profile
Prof. Rafael Luiz Cancian, Dr. Eng.
Professor, Department of Informatics and Statistics, Federal University of Santa Catarina
- Department of Informatics and Statistics
- Florianópolis, Santa Catarina, Brazil
- rafael.cancian@ufsc.br
About
Academic profile and scientific trajectory.
Rafael Luiz Cancian is a professor at UFSC with an academic trajectory spanning computer science, automation and systems engineering, hardware/software integration, embedded and cyber-physical systems, modeling and simulation, artificial intelligence, and biological computation.
Research position
Computation as an architectural phenomenon
The long-term research vision is to study computation as an architecture that can cross substrates: silicon, software systems, cyber-physical platforms, and biological systems. The site communicates that agenda at a conceptual and academic level, without laboratory protocols or operational genetic engineering instructions.
Academic signals
Compact profile, not a curriculum dump.
The public site emphasizes durable academic identity and research direction rather than reproducing the complete Lattes record.
Computer science, automation, and systems engineering
Academic formation and teaching activity spanning computer science, automation and systems engineering, computer organization, operating systems, and software/hardware integration.
Modeling and simulation as a scientific method
Research and technological development centered on simulation models, design-space exploration, embedded and cyber-physical systems, and reproducible scientific software artifacts.
Biological computation and whole-system modeling
Long-term research direction connecting biological systems modeling, biological computer organization, BioCAD-like abstractions, and responsible computational communication.
Biography
Systems, software, hardware, simulation, and biological computation.
The text below is a compact website biography, not a full curriculum reproduction.
Prof. Cancian holds a doctorate in Automation and Systems Engineering, a master's degree and bachelor's degree in Computer Science, and complementary graduate-level training in Data Science and Artificial Intelligence, Political Science, and Financial and Capital Markets. His professional trajectory combines university teaching, systems research, scientific software development, and applied technology projects.
His research agenda connects classical systems topics—computer organization, operating systems, embedded systems, hardware/software integration, parallel and distributed processing, and design-space exploration—with biological computation, systems biology, synthetic biology, and whole-cell simulation as computational substrates and modeling targets.
At UFSC, his work has included teaching and research in Digital Systems, Operating Systems, Modeling and Simulation of Systems, Biological Computation and Computational Biology, cyber-physical systems, and software/hardware integration. This website presents selected aspects of that trajectory without attempting to reproduce the full Lattes curriculum.
Trajectory
Selected academic milestones
Computer Science undergraduate formation at UFSC
Foundation in computing, systems, software, and computer architecture, later expanded through graduate research and university teaching.
Master's research in Computer Science
Work on performance evaluation of real-time scheduling algorithms in a multicomputer environment.
Doctorate in Automation and Systems Engineering
Research on multi-objective evolutionary design-space exploration for embedded systems.
Professor at UFSC
Teaching, research, supervision, and institutional activity in computer systems, digital systems, modeling and simulation, and biological computation.