Contest (theses)-2016


(Now with Ecuador!)

FINALISTS 2016

PhD THESES

NAME (ALPHABETIC ORDER) / THESIS / TITLE / UNIVERSITY /  COUNTRY
- Daniel Salles Chevitarese: Neuronal circuit specification language and tools for modelling the virtual fly brain – Pontifícia Universidade Católica do Rio de Janeiro, Brasil
- Tatiana Escovêdo: Neuroevolutive Learning and Concept Drift Detection in Non-Stationary Environments – Pontifícia Universidade Católica do Rio de Janeiro, Brasil

MSc THESES

NAME (ALPHABETIC ORDER) / THESIS / TITLE / UNIVERSITY /  COUNTRY
- Fredy Alexander Guasmayan Guasmayan: Solución del Problema de Ruteo de Vehículos Dependientes del Tiempo Utilizando un Algoritmo Genético Modificado – Universidad Tecnológica de Pereira, Colombia
- María Janeth Bravo Montenegro: Metodología Híbrida para Resolver el Problema de Ruteo de Vehículos con Depósitos Múltiples Considerando el Consumo de Combustible – Universidad Mariana, Colombia
- Marcelo Gomes Pereira de Lacerda: Weight-Based Approach for Niching in Fish School Search – Universidade de Pernambuco, Brasil
- Matheus Ribeiro Furtado de Mendonça: Evolution of Reward Functions for Reinforcement Learning applied to Stealth Games – Universidade Federal de Juiz de Fora, Brasil
- Rafael Rêgo Caldas: A Proposal of Low Cost Technology and Methodology to Assess Human Gait Spatiotemporal Features Based on Inertial Sensors and Computational Intelligence – Universidade de Pernambuco, Brasil
- Roque Enrique López Condori: Automatic aspect-based opinion summarization – Universidade de São Paulo, Brasil

 

LA-CCI POSTGRADUATE THESES CONTEST

 

(Any questions should be referred directly to Diego H. Peluffo at dhpeluffoo@unal.edu.co .or. diegohpo@gmail.com)
The Postgraduate Theses Contest (PDT) promotes the integration and cooperation of young researchers in Computational Intelligence areas, providing greater visibility of the work done. The PDT has the following objectives:

 

- To promote greater participation of graduate students in the event.

- To encourage the improvement of quality of PhD and Master’s dissertations and/or thesis papers on Computational Intelligence.

 

Among the registered participants, the PDT will select and award the best doctoral thesis and the best master’s thesis on

Computational Intelligence completed, duly defended and approved during the period January 2014 to June 2016.

 

Theses and dissertations selected to compete in this issue will be evaluated by 1. scientific and technological contributions generated

by the work; 2. potential impact on society; and 3 potential impact on the state of the art on Computational Intelligence areas.

 

SELECTION PROCESS

 

Participants are requested to send a summary as well as to make a 20-minutes presentation (plus another 5 minutes for questions).
Both summary and presentation will be evaluated by the contest committee.

Details and instructions about the presentation will be provided to all participants in due course.

 

Among the selected works will be awarded the best doctoral thesis and the best master’s thesis work.

The awards will be presented at the awards ceremony during the LA-CCI.

 

SUMMARY SUBMISSION

 

Entries must be sent to the e-mail: dhpeluffoo@unal.edu.co .or. diegohpo@gmail.com

 

Each submission must include the following documents:

 

- Summary of work with a maximum of 3 pages;

- Full text of thesis or dissertation;

- Scanned copy of the diploma (or document showing that the thesis or dissertation was defended and approved).

 

All documents submitted must be sent in PDF format. The full text of the thesis or dissertation will serve primarily as a reference source for the evaluators on the results of the work. All the documents must be written in either Spanish or English.

 

The summary should be clear which contributions are the originality and the potential impact of the work. The organization of the summary should give obligatorily: title, author, department in which it was approved, guiding and Co-Advisors with their affiliations, and

the text itself.

 

Furthermore, it is suggested that the text of the abstract explicit: the motivation of work, characterizing the relevance of the topic and

the main challenges of treaties research, its objectives and its significant contributions and results. If applicable, it is requested that the authors indicate the work products, such as patents, registered programs, public / free domain programs (indicating their URLs),

articles published or accepted for publication, as well as any other information needed to qualify work as one of the best in the country

within that period.

 

IMPORTANT DATES

 

Deadline for submission of summaries: June 17th, 2016

Notification of acceptance: August 17th, 2016

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