Genoveva Vargas-Solar

Genoveva Vargas-Solar is a senior scientist at the French Council of Scientific Research (CNRS) and a member of the DataBase group of the Laboratory on Informatics on Image and Information Systems (LIRIS). She is a regular member of the Mexican Academia of Computing (AMEXCOMP).

Genoveva Vargas-Solar is a gender equity officer of the Gender Equity Commission at the LIRIS lab and an Equity and Diversity contact in the Gender Equity Office at U. Claude Bernard Lyon 1 on behalf of the LIRIS lab. She promotes gender equity, diversity, and inclusion actions (e.g., W-Lead@STEM). She coordinates the DEI database interconference initiative, and she works as the EDBT Endowment (a major European conference in databases) DEI liaison. Since 2020, she has co-organised the W-STEM forum of the conference AICCSA (2020, 2021, 2022). She co-organises the workshop Data Science for Equality, inclusion, and Well-being Challenges (DS4EIW) in conjunction with the conference IEEE Big Data. She is a member of the Tierra Común activist group and leads the projects SINFONIA and FRIENDLY on decolonial perspectives of DEI-aware data analytics. She participated in the European project Gender STI as part of the CNRS partner group. 

Until October 2020, she was a member of the Heterogeneous and Adaptive Distributed Data Management Systems (HADAS) of the Informatics Laboratory of Grenoble (LIG). From 2008-2020, she was deputy director of the French-Mexican Laboratory of Informatics and Automatic Control (LAFMIA). She was president of the Mexican Society of Computer Science from 2007-2009.

She obtained her “Habilitation à Diriger des Recherches” in 2014 from the University of Grenoble-Alpes (UGA), her PhD in Computer Science in 2000 at the University Joseph Fourier (UJF), and her PhD in Literature in 2015 at the University Stendhal. She obtained her Master’s Degree in Computer Science in 1997 at University Joseph Fourier, her Master’s Degree in Compared Literature in 1998 at University Stendhal, and her Computer Systems Engineering degree with a minor in Literature at Universidad de las Américas, Puebla (UDLAP).

She contributes to the construction of service-based database/data science management systems. The objective is to design data science workflows, new queries, and enactment services guided by Service Level Objectives (SLO). Her work mainly addresses data science queries exploiting graphs. She proposes query evaluation methodologies, algorithms, and tools for composing, deploying, and executing data science functions on just in time architectures (disaggregated data centres). She conducts fundamental and applied research activities for addressing these challenges on different architectures ARM, raspberry, cluster, cloud, and HPC.

Funded by the Institut du Genre, France
The objective is study and reflect on the gender dynamics of careers in data science and AI by specifying a (1) methodology for collecting and analysing data on the presence and position of women in the labour market opened by these disciplines (2) network of groups and organisations working on F/M equality in AI and data science.
Principal Investigator

Funded by the INS2I CNRS, France

The objective of this project is to study and reflect on the gender dynamics of F/M careers in Computer Science to: (1) analyse the presence and position of women in computer science research (at LIRIS) (2) design awareness-raising actions to bridge the gender gap and test it within LIRIS.

Principal Investigator

GALILEAN (2022 – 2023) LIRIS, France- Univ. Arizona, USA – UDLAP-LNS, Mexico

Collaboration program LIRIS, Database and GOAL Groups
Experiment multirole-capable decision-making systems across a broad range of Data Science workflows working on graphs through an agile, autonomous, composable, and resilient “Just-in-Time Architecture” for DS Pipelines.
Principal Investigator

ADAGEO (2021 – 2022) LIRIS, France- UFRN, Brazil

International Emerging Action, CNRS
French – Brazilian International Emerging Action on Data-Centred Intelligent GeoSciences
Design and implement large-scale data centric Earth Science experiments on solid earth data (passive seismology mostly).
Principal Investigator

DOING (2021-2022), Action MADICS

Données Intelligentes : transformer l’information en connaissance
Co-porteuses : G. Vargas-Solar, M. Halfeld Ferrari Alves, A. Minard-Forst
http://www.madics.fr/ateliers/doing/

SUMMIT (2018 – 2021) LIRIS, LIG, DataMedCare

Service Multi-clouds pour l’intégration intelligente de masse de données hétérogènes dirigée par les contrats SLA pour des environnements multi-dispositifs
Projet AAP, Pack Ambition région Rhône Alpes Auvergne
Contact at LIG

>> Concluded Projects

ORCID

ResearchGate

Courses
Master Smart Cities – Smart Grid ENSE3, Industry 4.0 EDI, Grenoble INP

• Data centric smart “everything”
• Data management issues in ML studios

Computing Systems Engineering, Universidad de las Américas, México

• Cloud computing and Big Data: magistral and lab

Informatics and Cybersecurity Program, CPE, U. Lyon, France

• Fundaments of Databases: magistral
• Big Data Engineering: magistral and lab

Federal University do Parana, Brazil

• Data Curation and Provenance: application on Earth and Biodiversity Sciences

Past

Master SITN, Paris Dauphine

• NoSQL- NewSQL: documents and graphs

• Keystone: Big-linked-data
• Data Management on the Cloud
• Data Management Services on the Cloud
• Big Data Management
• Big Data Analytics
• Data-centric sciences

Fests

• Big Data Fest
• Map Reduce Fest

LIRIS | Laboratoire d’InfoRmatique en Image et Systèmes d’information (UMR 5205)
Campus de la Doua
25 avenue Pierre de Coubertin
69622 Villeurbanne Cedex
France
M   genoveva.vargas-solar@cnrs.fr, genoveva.vargas-solar@liris.cnrs.fr