Research

Iñigo Martínez

Ph.D. | data scientist

Research publications

Closed-Form Diffeomorphic Transformations for Time Series Alignment (2022)
Martinez, I., Viles, E., & Olaizola, I. G.
Proceedings of the 39th International Conference on Machine Learning, 162, 15122–15158

https://proceedings.mlr.press/v162/martinez22a.html 
ArchABM: An agent-based simulator of human interaction with the built environment. CO2 and viral load analysis for indoor air quality (2022)
Martinez, I., Bruse, J. L., Florez-Tapia, A. M., Viles, E., & Olaizola, I. G.
Building and Environment, 207, 108495

https://doi.org/10.1016/j.buildenv.2021.108495 
A novel method for error analysis in radiation thermometry with application to industrial furnaces (2022)
Martinez, I., Otamendi, U., Olaizola, I. G., Solsona, R., Maiza, M., Viles, E., Fernandez, A., & Arzua, I.
Measurement, 190, 110646

https://doi.org/10.1016/j.measurement.2021.110646 
On the performance of shared autonomous bicycles: A simulation study (2022)
Coretti Sanchez, N., Martinez, I., Alonso Pastor, L., & Larson, K.
Communications in Transportation Research, 2, 100066

https://doi.org/10.1016/j.commtr.2022.100066 
On the simulation of shared autonomous micro-mobility (2022)
Coretti Sanchez, N., Martinez, I., Alonso Pastor, L., & Larson, K.
Communications in Transportation Research, 2, 100065

https://doi.org/10.1016/j.commtr.2022.100065 
Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules (2021)
Otamendi, U., Martinez, I., Quartulli, M., Olaizola, I. G., Viles, E., & Cambarau, W.
Solar Energy, 220, 914–926

https://doi.org/10.1016/j.solener.2021.03.058 
A survey study of success factors in data science projects (2021)
Martinez, I., Viles, E., & Olaizola, I. G.
2021 IEEE International Conference on Big Data (Big Data), 2313–2318

10.1109/BigData52589.2021.9671588 
Data Science Methodologies: Current Challenges and Future Approaches (2021)
Martinez, I., Viles, E., & G. Olaizola, I.
Big Data Research, 24, 100183

https://doi.org/10.1016/j.bdr.2020.100183 
Labelling Drifts in a Fault Detection System for Wind Turbine Maintenance (2018)
Martinez, I., Viles, E., & Cabrejas, I.
In J. Del Ser, E. Osaba, M. N. Bilbao, J. J. Sanchez-Medina, M. Vecchio, & X.-S. Yang (Eds.), Intelligent Distributed Computing XII (pp. 145–156)
Springer International Publishing

https://doi.org/10.1007/978-3-319-99626-4_13 

 Best Paper Award - IDC 2018 International Symposium

Preprints on arXiv

Simulation study on the fleet performance of shared autonomous bicycles (2021)
Sánchez, N. C., Martinez, I., Pastor, L. A., & Larson, K.
CoRR, abs/2106.09694

https://arxiv.org/abs/2106.09694 

Academic Reviewer

International Conference on Machine Learning

ICML 2022

https://icml.cc/ 

Applied Energy

Elsevier 2022, 2023

https://www.sciencedirect.com/journal/applied-energy 

Journal of Decision Systems (JDS)

Taylor & Francis 2021

https://www.tandfonline.com/toc/tjds20/current 

PeerJ Computer Science

PeerJ 2021

https://peerj.com/computer-science/ 

International Conference on Predictive APIs and Apps (PAPIs)

Boston 2017, São Paulo 2017/2018/2019, London 2018

https://dblp.org/db/conf/papis/index.html 

Talks & Conferences

International Conference on Machine Learning 2022 | Baltimore, MD, USA

Closed-form diffeomorphic transformations for time series alignment

https://icml.cc/virtual/2022/spotlight/17698 

IEEE Big Data 2022 - Workshop on Methods to Improve Big Data Science Projects | Orlando, FL, USA

A survey study of success factors in data science projects

http://www.midp-info.org/2022-workshop.html 

Tecnun Student Research Conference 2023 | San Sebastian, Spain

Diffeomorphic temporal transformer network for time series alignment

https://en.unav.edu/research 

International Symposium on Intelligent Distributed Computing 2018 | Bilbao, Spain

Labelling Drifts in a Fault Detection System for Wind Turbine Maintenance

https://idc2018.jrlab.science/index.php 

Teaching & Mentorship

Organizing committee International Conference on Predictive APIs and Apps (PAPIs) (2017-2019)

- 2017 Boston & São Paulo - 2018 London & São Paulo - 2019 São Paulo

Thesis supervisor for B.Sc. in Industrial Engineering

- Proposal for a taxonomy of professional profiles in data science (2020) - Estimating the benefits of organizational methodologies for data science projects (2021)

Teacher in Cosmos Academy (2015-2020)

- Private teaching for Tecnun and Mondragon University students - Subjects: computer science, electric systems, thermodynamics, heat transfer, strength of materials, electronics

Teaching Assistant

- Strength of Materials II (B.Sc) | Prof. Aitziber Lopez (2013) - Electric Systems (B.Sc) | Prof. Luis Fontan (2014) - Calculus 101 (B.Sc) (2012-2013)