My Profile Photo

Eva Garcia Martin

Data Scientist | Machine Learning Researcher

Public Speaking

Organization / Volunteering

  • Women in Tech Gothenburg – Meela (May 2021 – Present)
    I am serving as a tech advisory board member at Meela through the WITGBG Venture Studio program. This entails advising the startup on, and through, their product development process - ultimately improving the quality of their solution and speeding up their time to market.

  • International Conference Data Mining (ICDM) (Present)
    Sponsorship co-chair for the 2021 edition. (https://icdm2021.auckland.ac.nz)

  • Green Data Mining Workshop – European Conference in Machine Learning
    Main organizer and coordinator during 2018, 2019, 2020

  • Women in Machine Learning Volunteer during 2017, 2018

Talks and Presentations

I have given talks and/or presentations at the following events:

  • The Power of Cross-Technology Innovation # 38 BOECK & XOXO, June 2021. Online youtube
  • The Tech Leader Portait #51 BOECK & XOXO , May 2021. Online youtube
  • Energy Efficiency in Machine Learning BOECK & XOXO, April 2021. Online youtube
  • TinyMl Research Symposium • Green Accelerated Hoeffding Tree, April 2021. Online. tinyML

  • Energy Efficiency in Machine Learning – Approaches to Sustainable Data Stream Mining PhD Thesis Defense at Blekinge Institute of Technology, January 2020, Karlskrona, Sweden.

  • Sustainable Machine Learning • Women Influencers in Disruptive Technologies, June 2019, Gothenburg, Sweden.

  • Hoeffding Trees with nmin adaptation • The 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2018), October 2018, Turin, Italy.

  • How to Measure Energy Consumption in Machine Learning algorithms • Green Data Mining workshop held at ECML-PKDD 2018, September 2018, Dublin, Ireland.

  • Energy-Efficient Data Stream Mining • HiPEAC 2018, European Network on High Performance and Embedded Architecture and Compilation, May 2018, Gothenburg, Sweden.

  • Extraction and Energy Efficient Processing of Streaming Data • Licentiate Presentation at Blekinge Institute of Technology, December 2017, Karlskrona, Sweden.

  • Adaptive Very Fast Decision Tree, preliminary results • 5th Swedish Workshop in Data Science (SweDS 2017), December 2017, Gothenburg, Sweden.

  • Adaptive Very Fast Decision Tree, preliminary results • 12th Women in Machine Learning Workshop (WiML 2017), in conjunction with NIPS 2017, December 2017, Long Beach, USA. Poster presentation.

  • Is it ethical to avoid error analysis? • Fairness, Accountability, and Transparency in Machine Learning Workshop (FAT/ML), held in conjunction with KDD 2017, August 2017, Halifax, Canada. Poster presentation.

  • Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree • Green, Pervasive, and Cloud Computing, May 2017, Cetara, Italy.

  • Energy Efficiency in Machine Learning: A position paper • 30th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2017. May 2017, Karlskrona, Sweden.

  • Energy Efficiency in Machine Learning • 4th Swedish Workshop in Data Science (SweDS 2016), November 2016, Skövde, Sweden.

  • Energy Efficiency in Data Stream Mining • Advances in Social Networks Analysis and Mining (ASONAM 2015), August 2015, Paris, France.