About

Javier A. Espinosa-Oviedo is a computer scientist specialized in big data management/processing and distributed system design. He works as researcher in the Center for Big, Open and Linked Data (BOLD) Cities, at the Faculty of Architecture of Delft University of Technology (TU Delft). He is also associate researcher in the database group of the French-Mexican Laboratory of Informatics and Automatic Control (LAFMIA), an international research unit of the French Council of Scientific Research (CNRS), and member of the Laboratory of Informatics of Grenoble (LIG). His current research projects concern:

  • Stream Processing
  • Urban Computing
  • Data Visualization
  • Digital Humanities

Before moving to TU Delft, he worked as postdoctoral researcher (2016-2018) in the Barcelona Supercomputing Center (BSC), in the Extreme Computing group. Before BSC, he worked as postdoctoral researcher (2013-2015) in the LAFMIA-LIG laboratory, where he participated as researcher and data architect in national, international and European projects (cf. projects). Since 2016 he is permanent member of LAFMIA and plays an active role in the laboratory’ international collaborations.

He received his PhD in Computer Science (2013) from University of Grenoble-Alpes (UGA), France, and his Master (2008) and Engineer (2006) degree in Computer Science and Computer Systems Engineering from Universidad de las Americas Puebla (UDLAP), Mexico.

Since 2016 he is member of the Mexican Academy of Computer Science (AMEXCOMP).

Mobility

Grants/Awards

  • Microsoft Data Science Award ($20,000 USD in cloud infrastructure), 2016
  • CONACyT Postdoctoral grant (2016–2018), PhD grant (2009-2011), MSc grant (2006-2008) and international mobility grant (2007-2008)

Projects

Big Data Visualization & Stream Processing

  • CONCERNS: Dealing with Crowd Distress by Building Secure Immigration Corridors
    Funding: Microsoft Azure Data Science Award
    Partners: LAFMIA, BSC-CNS
    2017
  • Technological Transfer on Hybrid Stream Processing for IoT 
    Funding: LINKSIUM Grenoble
    Partners: Clouding Things, LIG-LAFMIA
    2017
  • Building the history of climate change in Latin America 
    Funding: IPGH
    Partners: UDLAP-LAFMIA, U. Javeriana, UdelaR, UCUENCA
    2017

Cloud Data Processing & Storage

Data Services Coordination & NFP properties

Teaching

2018

  • Big Data Visualization — PATC, BSC, Spain
  • Tutorial: Data Processing and Querying at Scale using Big Data Analytics Stacks — ISUM’18, Mérida, México

2017

2016

2015

2014

2013

Publications

Journals

  1. Pisodm: Building SOC Applications in the Presence of Non-Functional Requirements (in press), K. Belhajjame, V. de Castro, J. Espinosa-Oviedo, M. Musicante, U. Souza Da Costa, P. Souza Neto, G. Vargas-Solar, J.-L. Zechinelli-Martini, Int. Journal of Web and Grid Services, 2018, ISSN 1741-1114.
  2. Big Data Management: what to keep from the past to face future challenges?, G. Vargas-Solar, J. L. Zechinelli-Martini, and J. A. Espinosa-Oviedo, Data Science and Engineering, Volume 2, Issue 4, pp. 328–345, 2017, ISSN 2364-1541, https://doi.org/10.1007/s41019-017-0043-3.
  3. Modelling Crowds in Urban Spaces, I. Rudomín, G. Vargas-Solar, J. A. Espinosa-Oviedo, H. Pérez, and J. L. Zechinelli-Martini, Computación y Sistemas, vol. 21, no. 1, pp. 57-66, 2017, ISSN 2007-9737.
  4. Humanitarian Logistics and Cultural Diversity within Crowd Simulation, C. A. Ochoa Zezzatti, I. Rudomin, G. Vargas-Solar, J. A. Espinosa-Oviedo, H. Pérez, and J.-L. Zechinelli-Martini, Computación y Sistemas, vol. 21, no. 1, pp. 7-21, 2017, ISSN 2007-9737.
  5. Optimizing Data Processing Service Compositions Using SLA’s, G. Vargas-Solar, J.-L. Zechinelli-Martini, and J.-A. Espinosa-Oviedo, Polibits, vol. 53, pp. 65-75, 2016, ISSN 1870-9044 (print), ISSN 2395-8618 (electronic).
  6. Using Autonomous Intelligence to Build a Smart Shop Floor, D. Tang et al., Procedia CIRP, vol. 56, pp. 354-359, 2016, ISSN 2212-8271, https://doi.org/10.1016/j.procir.2016.10.039.
  7. Comparing Electoral Campaigns by Analysing Online Data, J. A. Espinosa-Oviedo, G. Vargas-Solar, V. Alexandrov, and G. Castel, Procedia Computer Science, vol. 80, pp. 1865-1874, 2016, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2016.05.480.
  8. Reliable Web Services Composition: An MDD Approach, G. Vargas-Solar et al.Polibits, vol. 49, no. 1, pp. 17-27, 2014, ISSN 1870-9044 (print), ISSN 2395-8618 (electronic).

Book Chapters

  1. Big continuous data: dealing with velocity by composing event streams, G. Vargas-Solar, J. A. Espinosa-Oviedo, and J. L. Zechinelli-Martini, in Big Data Concepts, Theories and Applications, Springer, 2016.
  2. Big Data Management: Challenges, Approaches, Tools and their limitations, M. Adiba, J. C. Castrejón, J. A. Espinosa-Oviedo, G. Vargas-Solar, and J. L. Zechinelli-Martini, in Networking for Big Data, CRC Press, 2015.
  3. Administración de Big Data en el cloud: Retos, soluciones y herramientas, G. Vargas-Solar and J. A. Espinosa-Oviedo, in Tedencias en la administración de datos, Universidad Autónoma de Tlaxcala, 2015.

International Conferences

  1. Correlating digital footprints for discovering social connections in crowds. J. Espinosa-Oviedo, G. Vargas-Solar, V. Alexandrov, J. Zechinelli-Martini. Proc. of the 3rd IEEE Int. Conf. on Smart Data, Exeter, U.K., 21-23 Jun 2017, https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.173.
  2. Automating systematic mappings, adding quality to quantityR. Motz, G. Vargas-Solar, U. Souza Da Costa, J.-A. Espinosa-Oviedo et al. Proc. 39th Int. Conf. on Soft. Eng. Companion (ICSE-C), Buenos Aires, 20-28 May 2017, pp. 167-168, https://doi.org/10.1109/ICSE-C.2017.111.
  3. Efficient and versatile data analytics for deep networks, D. Garcia-Gasulla et al.Paper presented at the 7th Int. Supercomputing Conf. in Mexico (ISUM’16), 2016.
  4. Modelling crowds in urban spaces: from Big data to smart secure regions, G. Vargas-Solar, J. A. Espinosa-Oviedo, H. Perez, I. Rudomín, and J. L. Zechinelli-Martini, Paper presented at the 7th Int. Supercomputing Conf. in Mexico (ISUM’16), 2016.
  5. Policy Driven Services Coordination for Building Social Networks Based Applications, J. A. Espinosa-Oviedo, G. Vargas-Solar, J. L. Zechinelli-Martini, and C. Collet, in Proc. 2011 IEEE Int. Conf. on Services Computing (SCC’11): Work in Progress Track, 4-9 July, Washington, DC, USA, 2011, https://doi.org/10.1109/SCC.2011.40.
  6. Unmarrying non-functional properties and services coordination using contracts, J. A. Espinosa-Oviedo, G. Vargas-Solar, J. L. Zechinelli-Martini, and C. Collet, Proc. 1st ACM Int. Workshop on Model Driven Service Eng. and Data Quality and Security (MoSE+DQS’09), Hong Kong, China, 6 Nov 2009, https://doi.org/10.1145/1651415.1651427.
  7. Non-functional properties and services coordination using contracts, J. A. Espinosa-Oviedo, G. Vargas-Solar, J.-L. Zechinelli-Martini, and C. Collet, in Proc. 13th Int. Database Engineering & Applications Symp. (IDEAS’09), 16-18 September, Cetraro, Italy, pp. 307-310, 2009.
  8. Securely coordinating services using contracts, J. A. Espinosa-Oviedo, G. Vargas-Solar, J. L. Zechinelli-Martini, and C. Collet, in Proc. Mexican Int. Conf. on Computer Science (ENC’09), Mexico City, Mexico, 21-25 Sept. 2009, https://doi.org/10.1109/ENC.2009.20.
  9. Experiences in building reliable mobile services based applications, A. Portilla, T. Hanh, and J.-A. Espinosa-Oviedo, Proc. 24th Int. Conf. on Data Engineering Workshop (ICDEW’08), April 7-12, 2008, Cancún, México.
  10. Adding non-functional properties to services based applications using contracts, J. A. Espinosa-Oviedo, in Proc. 9th Mexican Int. Conf. on Computer Science (ENC’08): PhD Workshop, 6-10 October, Mexicali, Mexico, 2008.

National Conferences

  1. Crowd simulation and visualization, H. Perez, I. Rudomin, E. Ayguadé Parra, B. Hernandez, J. A. Espinosa-Oviedo, and G. Vargas-Solar, in Book of abstracts 3rd BSC Int. Doctoral Symposium, 2015, pp. 98–100.
  2. Efficient and versatile data analytics for deep networks, D. Garcia Gasulla et al., in Book of abstracts 3rd BSC Int. Doctoral Symposium, 2015.
  3. e-Grov: making the Mexican sky accessible through a Virtual Observatory, G. Vargas-Solar, J. A. Espinosa-Oviedo, J.-L. Zechinelli-Martini, and V. Cuevas-Vicenttín, Paper presented at the 2010 Microsoft Research eScience Workshop: Scaling the Science, 2010.
  4. Construire des applications fiables à base de services mobiles, A. Portilla, T. Hanh, J. A. Espinosa-Oviedo, C. Collet, and G. Vargas-Solar, in Proc. 4th French Conf. on Mobility and Ubuiquity Computing (UBIMOB’08), pp. 57-64, Saint Malo, France, 28-30 May 2008, https://doi.org/10.1145/1376971.1376983.
  5. Hacia un modelo semántico para la construcción de experimentos astronómicos, J. A. Espinosa-Oviedo, Paper presented at the 7th Mexican Int. Conf. on Computer Science (ENC’06): eScience Workshop, 18-22 September, San Luis Potosi, Mexico, 2006.

Activities

Presentations / Talks

Organizations

  • Co-organizer 5th BDA Summer School on Scalable Data Analytics (Masses de données distribuées), 17-22 June 2018, Aussois, France.
  • Co-organizer 2nd Franco-Brazilian School on Big Data and Smart Cities, 8-10th November 2017, IFRN, Natal, Brazil.
  • Co-organizer 1st Franco-Brazilian Spring School on Big Data and Smart Cities, 7th-10th April 2015, UAG, Grenoble, France.
  • Co-organizer EDBT Summer School 2013 on Big, Linked and Open Data, 1st- 6th September 2013, Aussois, France.

Services

  • Reviewer, Computación y Sistemas, 2016, 2018
  • Chair, 4th BSC Doctoral Symposium, 2017
  • Reviewer, ADBIS DaS workshop, 2017
  • Reviewer, Data in Brief, 2017
  • Reviewer; ICCS, 2017
  • Reviewer, MICAI, 2016
  • Reviewer, IKC KEYSTONE, 2016
  • Reviewer, AICCSA, 2016
  • Reviewer, ENC, 2010, 2009

Mentoring

Master students

  • Santiago Ruíz Angulo,  Analysis of climate change in LATAM by processing historical news papers, Universidad Autónoma de Guadalajara. Internship realized at the Barcelona Supercomputing Center during 2017 in the context of an IPGH project. Supervisors: R. Davila (10%), G. Vargas-Solar (45%), J. Espinosa (45%). [github]
  • Enrique Arriaga Varela, Discovering patterns from streams for supporting real–time decision making during neuroscience experiments, Universidad Autónoma de Guadalajara. Internship realized at the Barcelona Supercomputing Center during 2017 in the context of a collaboration CINVESTAV-BSC-LAFMIA. Supervisors: R. Davila (10%), G. Vargas-Solar (45%), J. Espinosa (45%). [github, poster]
  • Pedropablo Lopez Amaya, Acquisition et stockage des données du transport, Université Claude Bernard Lyon 1, 2015. Supervisors: F. Da Silva (25%), P. Ghodous (25%), G. Vargas-Solar (20%) et J. Espinosa (30%).
  • Isidro Lopez, Sharding strategies for querying traffic data in real-time, Universidad de las Americas, Puebla, Mexico. Supervisors: L. Zechinelli-Martini (50%) and J. Espinosa (50%).
  • Xiaohu Tang, Development of a smart Shop Floor simulator for the Industry 4.0. University of Nanjing, China. Supervisors: Vargas-Solar and J. Espinosa (70%). Internship realized at LIG laboratory during 2015-2016 in the context of the CASES project ( EU FP7-PEOPLE-IRSES). [github]

Undergraduate students

  • Besançon Hélène, Bouvet Sylvain, Brossard Cléa, Fourrier Thibaut, Collecte et Archivage de Données des Elections Européennes, Projet de spécialité, Ecole d’ingénieurs ENSIMAG, 2014.
  • Océane de Loitière, Bastien Drocourt, Manon Lucas, Construction et interrogation d’une base de données pour les élections européennes, Projet de spécialité, Ecole d’ingénieurs ENSIMAG, 2014.
  • Vaello Torregrosa Braulio, Building a mashup environment for integrating data services, ENSIMAG, 2011 Supervisors: G. Vargas-Solar (40%), J. Espinosa (60%).

Contact

javier.espinosa@{tudelft.nl, imag.fr}
TU Delft | Delft University of Technology
Faculty of Architecture and the Built Environment, MBE dept.
Building 8, Julianalaan 134, 2628 BL, Delft
P.O. Box 5043 – 2600 GA, Delft
The Netherlands
LAFMIA | French-Mexican Laboratory of Informatics and Automatic Control (UMI CNRS 3175)
Building IMAG, office 387
700 av. Centrale, 38401 Saint-Martin-d’Hères
P.O. Box CS 40700 – 38058 Grenoble cedex 9
France