Diana Benavides Prado

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Senior Research Fellow

Phone: +64 9 921 9999 – ext: 5097

Email: diana.benavides.prado@aut.ac.nz

Qualifications:

  • 2019 - PhD in Computer Science, The University of Auckland, New Zealand
  • 2012 – Master of Engineering in Systems Engineering and Computing Sciences, Universidad de Los Andes, Colombia
  • 2010 – Bachelor of Engineering in Systems Engineering, Fundacion Universitaria San Martin, Colombia

Memberships and Affiliations:

Biography:

Diana completed her Bachelor of Systems Engineering in 2010, and Master’s in Systems Engineering and Computing Sciences in 2012, both in her native country, Colombia. From 2010 to 2016 she worked as a researcher in science and technology for a variety of Colombian government institutions in sectors such as finance, healthcare, justice and geosciences. Diana moved to New Zealand in 2016. Since then she has been working as a Research Fellow in Data Science for the Centre of Social Data Analytics, AUT. Her experience spans a variety of projects in data science and machine learning, as well as teaching and tutoring in algorithms, programming and machine learning. Her research areas are both in fundamentals of machine learning in areas such as transfer learning, lifelong learning, and human-algorithm collaboration, as well as applied data science for decision making support in high-stakes problems. She holds a PhD in Computer Science from the School of Computer Science at The University of Auckland, New Zealand.

Teaching Areas:

  • Artificial Intelligence
  • Computer Science Fundamentals
  • Data Mining and Machine Learning
  • IT in Organisations
  • Algorithms and Object-Oriented Programming
  • Transactional Systems and Databases

Research Areas:

  • Machine Learning Fundamentals in the areas of  Transfer Learning, Lifelong Learning, Deep Continual Learning
  • Data Science Applications for Decision Making Support, Human-Algorithm Collaboration

Research Summary:

Diana’s research interests span fundamentals of learning, lifelong machine learning, continual learning and human-algorithm collaboration. She is also interested in the study of machine learning algorithms for supporting decision making in high-stakes problems.

Current Research Projects:

  • Allegheny Family Screening Tool, Centre for Social Data Analytics, AUT
  • Decision Support Aid Tool for Douglas County, Centre for Social Data Analytics, AUT
  • Decision Support Aid Tool for Larimer County, Centre for Social Data Analytics, AUT
  • Decision Support Aid Tool for Los Angeles County, Centre for Social Data Analytics, AUT
  • Homelessness Predictive Model for Allegheny County, Centre for Social Data Analytics, AUT
  • Human-Algorithm Collaboration for Decision Making, Centre for Social Data Analytics, AUT
  • Continual Learning for Increasingly Knowledgeable Systems, Co-Supervised Honours Project at The University of Auckland

Publications:

  1. Benavides-Prado, D., Koh, Y. S., and Riddle, P. (2020). Towards Knowledgeable Supervised Lifelong Learning Systems. Journal of Artificial Intelligence Research, 68, 159-224. Available at: https://www.jair.org/index.php/jair/article/view/11432
  2. Benavides-Prado, D. (2019). A Framework for Long-Term Learning Systems. PhD  Thesis. Available at: https://researchspace.auckland.ac.nz/handle/2292/47908
  3. Benavides-Prado, D. (2019). An SVM-Based Framework for Long-Term Learning  Systems. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol.  33, pp. 9915-9916).
  4. Benavides-Prado, D., Koh, Y. S., and Riddle, P. (2019). Selective Hypothesis Transfer for  Lifelong Learning. In 2019 International  Joint Conference on Neural Networks (IJCNN) (pp. 1-10). IEEE.
  5. Benavides-Prado, D., Koh, Y. S., and Riddle, P. (2018). Measuring Cumulative Gain of  Knowledgeable Lifelong Learners. NIPS Workshop on Continual Learning. Available  at: ://marcpickett.com/cl2018/CL-2018_paper_64.pdf
  6. Chouldechova, A., Benavides-Prado, D., Fialko, O., and  Vaithianathan, R. (2018). A case study of algorithm-assisted  decision making in child maltreatment hotline screening decisions. In  Conference on Fairness, Accountability and Transparency, pp 134-148. Available at: http://proceedings.mlr.press/v81/chouldechova18a.html
  7. Benavides-Prado, D., Koh, Y. S., and Riddle, P. (2017). AccGenSVM: Selectively  Transferring from Previous Hypotheses. In IJCAI Proceedings, pp 1440-1446. Available at: https://www.ijcai.org/proceedings/2017/0199.pdf
  8. Benavides-Prado, D. (2017). A Framework for Long-Term Learning Systems. In  IJCAI Proceedings, pp 5167-5168. Available at: https://www.ijcai.org/proceedings/2017/0743.pdf
  9. Marin, O.C., Castro, I.F.C.,  Fajardo, F.R., Cifuentes, O.J.A., Prado, D.K.B., Diaz, M.R. (2016). Impacto
  10. Prado, D. B. (2015). MOGACAR: A Method for Filtering Interesting Classification  Association Rules. In MLDM Proceedings, pp 172-183.
  11. Prado, D. K. B., and Villamil-Giraldo, M. P. (2013). KDBuss Framework: Knowledge  Discovery with Association Rules in the Business Context. In MLDM Poster  Proceedings, pp 59-72.

Service :

  • Publicity Chair for IEEE International Conference on Data Mining - ICDM (2021).
  • Reviewer for Neural Information Processing Systems - NeurIPS Conference (2020).
  • Reviewer for Pacific-Asian Conference on Knowledge Discovery in Databases - PAKDD (2020).
  • Reviewer for AAAI Conference on Artificial Intelligence (2020, 2018, 2017).
  • Reviewer for IJCAI Conference (2019).
  • Program Committee Member for Australasian Conference on Data Mining AusDM (2018).
  • Reviewer for Statistical Analysis and Data Mining Journal (2016).
  • Reporter for MLDM Conference (2015).

Awards:

  • 2019 – Computer Science Graduate Student Travel (CSGST) Award, The University of Auckland
  • 2018 – Best Technical and Interdisciplinary Paper, Conference on Fairness, Accountability and Transparency – FAT*
  • 2017 – Computer Science Paper Award, The University of Auckland
  • 2017 – Computer Science Graduate Student Travel (CSGST) Award, The University of Auckland
  • 2017 – Colfuturo Scholarship for Postgraduate Studies
  • 2010 – Best Bachelor of Engineering in Systems Engineering, Fundacion Universitaria San Martin (2010)
  • Best Student of Engineering in Systems Engineering, Fundacion Universitaria San Martin (2006, 2007, 2008, 2009)
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