Academic profile
Prof. Rafael Luiz Cancian, Dr. Ing.
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
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.
Academic profile
Professor, Department of Informatics and Statistics, Federal University of Santa Catarina
Research position
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.
Formation
Formal degrees and postgraduate specializations. Years for specializations can be updated in the data file.
Academic signals
The public site emphasizes durable academic identity and research direction rather than reproducing the complete Lattes record.
Academic formation and teaching activity spanning computer science, automation and systems engineering, computer organization, operating systems, and software/hardware integration.
Research and technological development centered on simulation models, design-space exploration, embedded and cyber-physical systems, and reproducible scientific software artifacts.
Long-term research direction connecting biological systems modeling, biological computer organization, BioCAD-like abstractions, and responsible computational communication.
Biography
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.
Academic service
Course coordination, boards, councils, laboratory coordination, and research or extension leadership.
Coordinates internship activities for the Computer Science program, connecting students, course requirements, and professional practice.
Served as coordinator of the Computer Science undergraduate program and represented the program in university-level undergraduate governance.
Participated in the UFSC University Council and the Undergraduate Chamber, contributing to institutional academic governance.
Served on Computer Science, Information Systems, and Electronic Engineering boards and coordinated the LISHA software/hardware integration laboratory.
Held roles at IFSC and UNIVALI involving research and extension coordination, research-group leadership, course boards, and scientific committees.
Skills
A concise skill profile aligned with teaching, research, supervision, and academic service.
Trajectory
Foundation in computing, systems, software, and computer architecture at the Federal University of Santa Catarina.
Technical and business leadership of a small company developing planning and operational software for urban public transportation systems, including the OFERBUS system.
Research on performance evaluation of real-time scheduling algorithms in a multicomputer environment.
Teaching in undergraduate Computer Science and Information Systems programs, with courses in computer organization, operating systems, and embedded systems.
Teaching and research in Systems Analysis and Development, covering embedded systems, systems programming, and applied computing, alongside extension and research coordination roles.
Research on multi-objective evolutionary design-space exploration for embedded cyber-physical systems.
Teaching, research, supervision, and institutional activity across digital systems, modeling and simulation, biological computation, and computer organization. Internship coordinator since 2017.