Jesús L. Lobo

PhD

Dr. Jesús L. Lobo (PhD in Information and Communications Technologies in Mobile Networks) is currently based in Bilbao (Spain) working at TECNALIA as Data Scientist and Machine Learning/Artificial Intelligence Researcher.

➤ As Researcher, he is focused on stream learning, concept drift, ensembles, spiking neural networks and lifelong machine learning. He is member of the GEI-Big Data (http://bigdatabytecnalia.com/), an international excellence group at Tecnalia composed by experienced Data Scientists, and also member of the JRLab. As another relevant part of his everyday research work, he also writes and reviews manuscripts for scientific journals and conferences, and ocasionally he has worked as data science trainer. His research topics are: Stream learning (Online Learning and Concept Drift), Lifelong Machine Learning, Ensemble building, and Spiking Neural Networks.

➤ As Data Scientist and Artificial Intelligence Engineer, he has dealt with real problems such as robotics planning, electricity fraud detection, EEG signals to identify fatigue of pilots in the aircrafts, customer segmentation & target marketing for car insurance companies, educational data mining, industry 4.0 (metal spinning), and more. He designs predictive/descriptive models working with the latest Machine Learning and Optimisation algorithms in order to find the most suitable solutions for the target problem.

He attended the University of Deusto and the National Distance Education University (UNED), receiving his BSc+MSc in Computer Science and his MSc in Advanced Artificial Intelligence respectively. In 2018 he obtained his PhD at EHU/UPV University.

Not forgetting the leisure side, he also loves to go outdoors to surf all over the globe.


CONTACT INFORMATION:

PUBLICATIONS

  • J. L. Lobo, J. Del Ser, E. Villar-Rodriguez, M. N. Bilbao, and S. Salcedo-Sanz, “On the creation of diverse ensembles for nonstationary environments using bio-inspired heuristics,” in International conference on harmony search algorithm, 2017, p. 67–77.
    [Bibtex]
    @inproceedings{lobo2017creation,
    title={On the Creation of Diverse Ensembles for Nonstationary Environments Using Bio-inspired Heuristics},
    author={Lobo, Jesus L and Del Ser, Javier and Villar-Rodriguez, Esther and Bilbao, Miren Nekane and Salcedo-Sanz, Sancho},
    booktitle={International Conference on Harmony Search Algorithm},
    pages={67--77},
    year={2017},
    organization={Springer, Singapore}
    }
  • I. Landa-Torres, J. L. Lobo, I. Murua, D. Manjarres, and J. Del Ser, “Multi-objective heuristics applied to robot task planning for inspection plants.” 2017.
    [Bibtex]
    @inproceedings{landa2017multi,
    title={Multi-objective heuristics applied to robot task planning for inspection plants},
    author={Landa-Torres, Itziar and Lobo, Jesus L and Murua, Idoia and Manjarres, Diana and Del Ser, Javier},
    year={2017},
    organization={IEEE Congress on Evolutionary Computation} }
  • J. L. Lobo, J. Del Ser, M. N. Bilbao, C. Perfecto, and S. Salcedo-Sanz, “Dred: an evolutionary diversity generation method for concept drift adaptation in online learning environments,” Applied soft computing, vol. 68, p. 693–709, 2018.
    [Bibtex]
    @article{lobo2018dred,
    title={DRED: An evolutionary diversity generation method for concept drift adaptation in online learning environments},
    author={Lobo, Jesus L and Del Ser, Javier and Bilbao, Miren Nekane and Perfecto, Cristina and Salcedo-Sanz, Sancho},
    journal={Applied Soft Computing},
    volume={68},
    pages={693--709},
    year={2018},
    publisher={Elsevier}
    }
  • J. L. Lobo, I. Laña, J. Del Ser, M. N. Bilbao, and N. Kasabov, “Evolving spiking neural networks for online learning over drifting data streams,” Neural networks, 2018.
    [Bibtex]
    @article{lobo2018evolving,
    title={Evolving spiking neural networks for online learning over drifting data streams},
    author={Lobo, Jesus L and La{\~n}a, Ibai and Del Ser, Javier and Bilbao, Miren Nekane and Kasabov, Nikola},
    journal={Neural Networks},
    year={2018},
    publisher={Pergamon}
    }
  • M. Arostegi, A. I. Torre-Bastida, J. L. Lobo, M. N. Bilbao, and J. Del Ser, “Concept tracking and adaptation for drifting data streams under extreme verification latency,” in International symposium on intelligent and distributed computing, 2018, p. 11–25.
    [Bibtex]
    @inproceedings{arostegi2018concept,
    title={Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency},
    author={Arostegi, Maria and Torre-Bastida, Ana I and Lobo, Jesus L and Bilbao, Miren Nekane and Del Ser, Javier},
    booktitle={International Symposium on Intelligent and Distributed Computing},
    pages={11--25},
    year={2018},
    organization={Springer, Cham}
    }
  • I. Laña, E. Capecci, J. Del Ser, J. L. Lobo, and N. Kasabov, “Road traffic forecasting using neucube and dynamic evolving spiking neural networks,” in International symposium on intelligent and distributed computing, 2018, p. 192–203.
    [Bibtex]
    @inproceedings{lana2018road,
    title={Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks},
    author={La{\~n}a, Ibai and Capecci, Elisa and Del Ser, Javier and Lobo, Jesus L and Kasabov, Nikola},
    booktitle={International Symposium on Intelligent and Distributed Computing},
    pages={192--203},
    year={2018},
    organization={Springer, Cham}
    }
  • J. L. Lobo, J. Del Ser, I. Laña, M. N. Bilbao, and N. Kasabov, “Drift detection over non-stationary data streams using evolving spiking neural networks,” in International symposium on intelligent and distributed computing, 2018, p. 82–94.
    [Bibtex]
    @inproceedings{lobo2018drift,
    title={Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks},
    author={Lobo, Jesus L and Del Ser, Javier and La{\~n}a, Ibai and Bilbao, Miren Nekane and Kasabov, Nikola},
    booktitle={International Symposium on Intelligent and Distributed Computing},
    pages={82--94},
    year={2018},
    organization={Springer, Cham}
    }