Klérisson Paixão

Ph.D. Student @ LASCAM
Federal University of Uberlândia
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Klerisson
Hi, I'm Klerisson.

I’m a PhD student in Computer Science at Federal University of Uberlândia (UFU) - Brazil, mostly studying Software Engineering, advised by Marcelo Maia. I earned my B.S. in Information Systems, specializing in Information Retrieval, from State University of Montes Claros, Brazil.

After receiving my Master degree in Computer Science from UFU, I spent a period in industry working as software engineer at Scopus, Everis and eWave. With one year as mobile application developer at IndiaNIC in India.

Then, in August 2014 I started my PhD. In 2015-2016 I was visiting RMoD and SequeL laboratories at the National French Research Institute in Computer Science and Automation (INRIA Lille), working with Damien Cassou and Nicolas Anquetil on Software Engineering, and with Philippe Preux on applied Machine Learning.

My research aims to enable better decision making for individuals (software developers, movie watchers, robots, ...). I'm particularly interested on how data analytics could benefit citizens, industry and society.

To put it simply, I'm a promiscuous cross-disciplinary aspirant researcher!

News

(Good news only, although most of what I try fails).

  • MAY-2017: Many thanks to NSF, SIGCHI, SIGWEB, Microsoft Research and User Modeling, Inc. for supporting my travel to UMAP-2017 - 25th ACM International Conference on User Modelling, Adaptation and Personalization.
  • APR-2017:
    • My SIGSOFT CAPS/NSF application for ICSE 2017 has been accepted.
    • iSAPS is funding my travel to the International Software Architecture PhD School. Many thanks!
    • "A Multi-Armed Bandit Model Selection for Cold-Start User Recommendation" accepted at UMAP2017 - 25th ACM International Conference on User Modeling, Adaptation, and Personalization.
  • MAR-2017:
    • Accepted for the International Software Architecture PhD School - iSAPS.
    • "On the Interplay between Non-Functional Requirements and Builds on Continuous Integration" accepted at MSR2017 - The 14th International Conference on Mining Software Repositories.
  • FEV-2017:
    • Accepted as an ACM Reviewer for Computing Reviews.
    • Selected as a Student Volunteer for the premier conference on software engineering ICSE-2017 - International Conference on Software Engineering.
  • JAN-2017: Paper accepted at JIDM - Journal of Information and Data Management.
  • NOV-2016:
    • Paper accepted at SANER - 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering.
    • Paper accepted at JBCS - Journal of the Brazilian Computer Society.
  • SEP-2016: Paper accepted at KDMiLe2016 - Symposium on Knowledge Discovery, Mining and Learning.
  • AGO-2016: Two papers accepted at ICTAI2016 - 28th IEEE International Conference on Tools with Artificial Intelligence.
  • JUL-2016: Back to Brazil after inspiring experiences. Many thanks to RMoD - INRIA Lille.
  • APR-2016: Attending ETAPS 2016.
  • MAR-2016: "Visual Perception Similarities to Improve the Quality of User Cold Start Recommendations" accepted at Canadian AI 2016.
  • DEZ-2015: EvoLille ended. Great events! Check out some pictures: BENEVOL EOSESE
  • SEP-2015: Distinguished paper award (Runner up) at VEM'2015 @CBSoft'2015: Redocumenting APIs with Crowd Knowledge: A study on the coverage of the Swing API on StackOverflow (in portuguese).
  • SEP-2015: Visiting PhD Student at RMoD - INRIA Lille.
  • Publications

    Important note: The copyrights for the following papers belong to the publishers. Papers may be downloaded for personal or research purposes only.


    Services
  • Computing Reviews ACM reviewer.
  • SEKE-2017 Sub-reviewer.
  • ICPC-2017 Sub-reviewer.
  • SANER-2017 Sub-reviewer.
  • Brazilian Symposium on Software Engineering (SBES) 2016 Sub-reviewer.
  • Brazilian Symposium on Programming Languages (SBLP) 2016 Sub-reviewer.
  • IX Simpósio de Informática 2016 Reviewer.
  • SEKE-2016 Sub-reviewer.
  • SANER-2016 Sub-reviewer.
  • ETAPS/FASE-2016 Sub-reviewer.
  • Teaching

    TA - Data Structures II - BS in Computer Science (First semester 2017).

    TA - Data Structures II - BS in Computer Science (Second semester 2016).

    WTFPL.