The Joint Research Lab team is composed of fully collaborative and open minded researchers. We welcome new ideas on topics related with our fields of knowledge, and, of course, we are also looking forward to deal and tackle new research problems and fields. It does not matter if your work is related with transport, data science, industry, energy, architecture... or even agriculture or special engineering! It does not mind if your intention is to develop a theoretical or applied research. If you really think we can collaborate and work together, contact us!

Contact Us

  • Address:: ETSI Bilbao UPV/EHU, Calle Luis Briñas, 5, 48013 Bilbao, Bizkaia, Spain
  • Phone: +34 664 103 541
  • Email: info@jrlab.science

New journal publication: “Stream Learning in Energy IoT Systems: A Case Study in Combined Cycle Power Plants”

Now you can check out our latest pubication in the Energies journal (Q2): “Stream Learning in Energy IoT Systems:…

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New post about Stream Learning and Concept Drift on KDnuggets

Our JRL member Jesús López Lobo has recently published a post on the reputed data science blog KDnuggets, where he…

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New journal publication: “Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning”

It is a great pleasure to announce that our last research on Spiking Neural Networks and Stream Learning. Jesús López…

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2nd Special Session on Nature-Inspired Computation in Transport, Mobility and Logistics

We are very pleased to announce the organization of the 2nd Special Session on Nature-Inspired Computation in Transport, Mobility…

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New journal publication: “Spiking Neural Networks and online learning: An overview and perspectives”

It is a great pleasure to share with you our latest scientific publication in the Neural Networks journal (Q1…

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JRL members were awarded the “European DatSci & AI Awards 2019”

Each year the DatSci Awards has gone from strength to strength, with the 4th Annual Awards set to be…

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