Diferencia entre revisiones de «Usuario:Leire.ozaeta»

De Grupo de Inteligencia Computacional (GIC)
Línea 83: Línea 83:


== Work samples ==
== Work samples ==
* [https://www.youtube.com/watch?v=llN1L0TA9aU "Endor, ipuinak kontatzen zituen Nao robota"] or "Demo effect at it's finest"
* [https://www.youtube.com/watch?v=19bTQ9mXlDM Fearless John by fellow Endor]
* [https://www.youtube.com/watch?v=NE0J2WgDdHU Bcig and ACPySS Christmas message by fellow Endor]
* [https://www.youtube.com/watch?v=yZW5ERCrtIo Pyss15 welcome talk by fellows Endor and Oier]
* [https://www.youtube.com/watch?v=yZW5ERCrtIo Pyss15 welcome talk by fellows Endor and Oier]
* [https://www.youtube.com/watch?v=NE0J2WgDdHU Bcig and ACPySS Christmas message by fellow Endor]
* [https://www.youtube.com/watch?v=19bTQ9mXlDM Fearless John by fellow Endor]


== Pending tasks ==
== Pending tasks ==

Revisión del 13:20 2 sep 2016


<img src="Leire.png" width="35%" style="float:right">

Leire Ozaeta Rodriguez

'If you ever feel invincible or useless just remember: once, an elderly woman with a shovel took down the 90% of a country's internet access.'

Personal Data

  • E-mail: leire.ozaeta@ehu.eus
Computational Intelligence Group
Department of Computer Science and Artificial Intelligence
Computer Science Faculty - Lab. 308
University Of The Basque Country (UPV/EHU)
Paseo Manuel Lardizabal 1 - CP: 20018 Donostia/San Sebastián (GUIPUZCOA) - Spain
  • Tfno.: (+34) 943.01.51.06


Studies

  • Currently:
PhD Student in the Computational Intelligence Group of the Computer Science and Artificial Intelligence Department - Universidad del País Vasco (UPV/EHU).


Working experience

  • January 2016 - ongoing:
Beca predoctoral / Predoctoral fellowship granted by Gobierno Vasco / Basque Government.
Project: MODELADO MULTIAGENTE DE REDES FUNCIONALES CEREBRALES
  • September 2014 - December 2014: Personal Investigador Contratado / Hired researcher at Universidad del País Vasco (UPV/EHU), Computational Intelligence Group.
  • October 2012 - January 2013: Desarrollador en prácticas / Trainee Developer at Datik
  • March 2012 - June 2012: HTC Campus Ambassador at HTC European Co. Ltd.

Research areas

  • Multi-agents systems
  • Artificial Life
  • Agent based social simulation
  • Social robotics

Publications

2015

Leire Ozaeta, Darya Chyzhyk, Manuel Graña
Some Results on Dynamic Causal Modeling of Auditory Hallucinations, Artificial Computation in Biology and Medicine, Lecture Notes in Computer Science Volume 9107, 2015, pp 185-194. Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Toledo-Moreo, F.J., Adeli, H. (Eds.), ISBN 978-3-319-18914-7. IWINAC 2015, Elche, 1-5 Junio 2015
Manuel Graña, J. David Nuñez-Gonzalez,Leire Ozaeta, Anna Kamińska-Chuchmała.
Experiments of trust prediction in social networks by artificial neural networks. Cybernetics and Systems, 46(1-2), 2015, pp 19-34.


Conferences

  • EuroPython 2016, Bilbao, Spain, 17-24 July, 2016. Contributor
  • IABL 2016, Kavala, Greece, 22-24 April, 2016. Attendee
  • IWINAC 2015, Elche, Spain, 1-5 June, 2015. Contributor

Workshops

  • Big Data meets Machine Learning, Wroclaw, Poland, 21-24 May, 2015. Attendee

Activities

Reviewer

  • EUROCON 2015


Organizer

  • Local organizing committee member of Europython 2016, Bilbao, Spain, 17-24 July, 2016.
  • Local organizing committee member of Python San Sebastian 2015 Pyss 2015, San Sebastian, Spain, 24-25 October, 2015.
  • Local organizing committee member of Europython 2015, Bilbao, Spain, 20-26 July, 2015.
  • Special event for children of sensibilization on robotic research, San-Sebastian, Spain, November 11th, 2014.


Other activities

  • Member of the non-profit Python San Sebastian society (AcPyss)
  • First Lego League Open European Championship ( FLLOEC) referee, Pamplona, Spain, 28-31 May, 2014.
  • First Lego League (FLL) referee, 2013 - present.

Congress of interest

  • ALIFE, Cancun, Mexico, 4-8 July, 2016.


Work samples

Pending tasks

  • Simulate social phenomena in multi-agent systems.
  • Build intelligent multi-agents systems capable of learning.
  • Create a multi-agents system that would be considered "alive".
  • Implement Skynet.