My personal and professional website
My personal and professional website
I am a passionate researcher that loves to look at problems in a different perspective. My main topics of interest are moving objects trajectory, knowledge discover, context-aware systems, mobile robots and intelligent systems.
Born in Brazil, my interest for technology was first materialized on my passion for games. I started my graduation on Computer Science in 2010 without knowing for sure in what I was getting into. For my big surprise, It was a perfect match. I started my scientific career still in graduation while developing a digital library. The research process enchanted me and, as soon as I got my diploma, I started a master degree in Computer Science.
My master subject was about data mining and pattern discovery. I worked on a new research field called knowledge discovery on spatial-temporal data of moving objects. This data is mostly composed by trajectories of moving objects. My final work was developing an algorithm to discover the chasing behavior between two trajectories. During my master I also worked on a project to develop a web-based system to register accidents involving hazardous materials in federal highways.
After finishing my master I immediately started a PhD degree. This time I applied my knowledge on trajectories in the mobile robot field. I am currently working on a framework for intelligent navigation of mobile robots using several technologies like semantic trajectories, fuzzy systems and behavior tree.
As for my personal interest, I am an enthusiastic gamer. Me and my friend started a youtube channel as a personal project to have some fun. This was great to stimulate my creativity and also made me learn about video and audio edition. It is an escape of the real world and a fun way to connect with other people. I also like music, tv series, books, geeks and nerdy stuff, podcasts and political content.
My motto is that nothing is 100% true or right, and I should always be ready to learn new things or change my mind about something I thought it was right. I learn from the past, but I live on the present.
Ok, so I started to work on the parser in the last days. As the log entries have several formats depending of the action, this proved to be a boring and long task to do. In the end, to save some time and to have some fun with the log data, I manage to easly build a simple parser to get all the kills in the log. Each kill entry have this format: L day - timestamp: Attacker<%><%UserID%><%UserGroup%> killed Target<%><%UserID%><%UserTeam%> with “weapon” (attacker_position “x y z”) (victim_position “x y z”)( As I didn’t found the log documentation, I’m not 100% certain of the coordinates format of the positions. I assumed that is a 3D point with x, y and z coordinates. Well, this make things easy. The first…
Substitute Teacher @ Systems Analysis and Development, Centro Universitário Municipal de São José
Teacher @ Systems Analysis and Development, Senac Santa Catarina
Substitute Teacher @ Department of Systems Engineering and Automation, Universidade Federal de Santa Catarina
Visitor researcher @ Consiglio Nazionale delle Ricerche Pisa, Italy
PhD degree on Systems Engineering and Automation @ Department of Systems Engineering and Automation, Universidade Federal de Santa Catarina
Master degree on Computer Science @ Department of Informatics and Statistics, Universidade Federal de Santa Catarina
Software developer @ Paripassu
Scientific initiation @ LaPeSD developing the Digital Library of Portuguese Literature
Bachelor studies @ Universidade Federal de Santa Catarina on Computer Science
