Marina Vela Nunez
EDUCATION: * 2012 PhD in Perceptual Robotics at Scuola Superiore Sant'Anna (PERCRO Lab). * 2007 M. Sc. Master of Engineering in Intelligent Interaction Technologies (Award the Japanese Government Scholarship (MEXT) ) at Intelligent Robot Laboratory, University of Tsukuba, Japan. * 1998 B.Sc. in Computer System Engineering at the Instituto Tecnologico de Durango, Durango (Mexico). * 2011 International Summer School on Media Informatics and Computer Graphics THM Technische Hochschule Mittelhessen, University of Applied Sciences., Friedberg (Germany). * 2011 Visit Researcher (HMI for XVR interaction) Movement To Health Laboratory, EuroMov, Montpellier-1, University, Montpelier (France). * 1999 International Student Interchange IAESTE at TEHNICOM Company, Belgrade (Serbia). * 1999 Visiting Student at the Department of Computer Engineering, University of Belgrade School of Electrical Engineering, University of Belgrade, Serbia (former Yugoslav Republic of Macedonia).
WORK EXPERIENCE: * At present Researcher at Istituto Nazionale di Astrofisica (INAF), Osservatorio Astronomico di Trieste – OATS, Trieste, Italy. * 2018 Researcher at the (INAF) Osservatorio Astrofisico di Arcetri, Florence (Italy). * 2014 Programming Languages Professor at Universidad Tecnologica de Durango, Dgo. Mex. * 2013 Perceptual Robotics (Software Developer) at Scuola Superiore Sant'Anna (at PERCRO laboratory). * 2007 Robotics Researcher at OTOMELARA at Gustavo Stefanini laboratoryV. La Spezia, Italy. * 2003 Academic Advisor at CONALEP, the National College for Professional Technical Education, Durango, Mex. * 2002 Academic coordinator at CONALEP, the National College for Professional Technical Education, National Toluca, Metepec, Mex. * 2001 Quality Control Supervisor at AUTOPARTES Y ARNESES DE MEXICO, S.A. DE C.V (AAMSA), YAZAKI corporation, Durango, Mex.
"Intuitive GUI to restore Corrupted Data: A Support for Preservation and Curation of the Astronomical Data"
The big data management challenge is one of the forefront topics in the fields of science and technology. At the heart of big data management lies the data preservation and curation process. This process consists of recovering lost or harm data, and transforming it into data curated by following specified standards and make it available for the end users.
The Italian Center for Astronomical Archive (IA2) developed the New Archiving Distributed Infrastructure (NADIR), which holds a large amount of astronomical data from different geographically distributed telescopes. When data is received, sometimes it arrives with some imperfections. The harm or lost of data could have some catastrophic impact on science. For such reason, our aim is to enhance the actual IA2 data management software platform by complementing the current NADIR system with an extra software, designed specifically for efficient, recovering of the corrupted, un-formatted or mismatched data files, in order to preserve astronomical data and to facilitate astronomers research work. The use of a GUI allowed more accurate and faster recovering of significant scientific observations that otherwise would be lost during archival ingestion. And most importantly, these observations would not usable by the reduction processes.