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TU Berlin

Inhalt des Dokuments

Rafael Zequeira Jiménez

Lupe

Research Topics

  • Ensure quality in Crowdsourcing system by applying access control rule approaches.
  • Orchestration between tasks applied to micro-jobs in Crowdsourcing using access control rule(XACML) approaches.
  • Site reliability engineering for platforms.

 

 

Research Group

Next Generation Crowdsourcing

 

 

Biography

Rafael Zequeira Jiménez received his Diploma in Telecommunications Engineering (equivalent to Master of Science) from the University of Granada, Spain in 2014.


During 2013 he was making an internship at Telefónica R+D in Granada, where he was part of a software development group within the Quality Assurance team.

During the academic course 2013 – 2014, Rafael was studying at Technische Universität Berlin within the Erasmus program, at this time, he worked on his Master Thesis entitled: “Secure multi protocol system based on a Resource Model for the IoT and M2M services”. Also in parallel to this, he made an internship at the SNET department from TU Berlin working as Student Research Assistance in the TRESOR project, at this time, he was focused on designing and implementing REST APIs to communicate different components within the project.

In June 2015 Rafael joined the Quality and Usability chair lead by Prof. Möller, to work in the “Next Generation Crowdsourcing” group, specifically in the Crowdee project lead by Dr.-Ing. Tim Polzehl.

 

 

Contact

Twitter: @zequeiraj

e-mail:

 

 

Address

Quality and Usability Lab
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany

Tel:  +4930835358336​

Publications

Fernández Gallardo, Laura and Zequeira Jiménez, Rafael and Möller, Sebastian (2017). Perceptual Ratings of Voice Likability Collected through In-Lab Listening Tests vs. Mobile-Based Crowdsourcing. Annual Conference of the International Speech Communication Association (Interspeech). International Speech Communication Association, 2233–2237.

Link zur Publikation

Zequeira Jiménez, Rafael and Fernández Gallardo, Laura and Möller, Sebastian (2017). Scoring Voice Likability Using Pair-Comparison: Laboratory vs. Crowdsourcing Approach. Ninth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–3.

Link zur Publikation

Zequeira Jiménez, Rafael and Fernández Gallardo, Laura and Möller, Sebastian (2017). Pair-Comparison for Collecting Voice Likability Ratings: Laboratory vs. Crowdsourcing. International Young Researcher Summit on Quality of Experience in Emerging Multimedia Services (QEEMS), 1–5.

Link zur Publikation

Zequeira Jiménez, Rafael and Fernández Gallardo, Laura and Möller, Sebastian (2017). Collecting Subjective Ratings of Voice Likability: Laboratory vs. Crowdsourcing. Workshop on Hybrid Human-Machine Computing (HHMC 2017), 1–2.

Link zur Publikation

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