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Biography

Pedro Goncalves Lind works in artificial intelligence and data analysis applied to several of the nowadays’ challenges in society, environment, economy and science, covering topics such as climate change, renewable energy, trustworthy and sustainable AI and unconventional computing. He holds a PhD in Mathematical-Physics (University of Lisbon, Portugal) and an “”Habilitation”” in theoretical physics (University of Osnabrueck, Germany). Moreover, he also holds a complementary graduation in music (violin) from the Music School of the National Conservatorium in Lisbon (Portugal).

Since 2019 he is professor in scientific computing at Oslo Metropolitan University, Norway, and since January 2021 he is also leading University’s Center of Research Excellence, NordSTAR – Nordic Center for Sustainable and Trustworthy AI Research. Moreover, he is an advisory board member of the OsloMet Artificial Intelligent Lab, a committee member of the Nordic Quantum Life Sciences Round Table, editorial board member for Energies journal and guest editor for Frontiers journals, member of IEEE and IEEE Computational Intelligence Society, member of the Deutsche Physikalische Gesellschaft (Germany), member of the Society of Portuguese Authors, and collaborator of the Center for Philosophical and Humanistic Studies in Portugal.

Conducting supervision activities with PhDs and MSc students in AI-related topics such as intelligence health, agent modelling of disease spreading, complex networks and critical phenomena, he authored and co-authored several publications publications which can be seen here: https://scholar.google.com/citations?user=EIN4gfYAAAAJ&hl=en.

His main scientific achievements intersect the topics of data modelling and data analysis, with development of open source numerical routines and applications to fields such as geophysics, renewable energies and quantum computing. Besides that – and perhaps also related with it – he also enjoys art-related activities, such as music composing, and humanities, such as philosophy and ethics.

More details about his activities, including scientific projects coordination, awards, supervision and teaching, invited talks and other communications and seminars, can be found in his homepage: https://www.cs.oslomet.no/~pedrolin/.

Topics

  • AI / Machine Learning / Algorithms
  • Fairness / Inequality / Ethics / Bias
  • Health / Public Health
  • Information Theory / Complexity Measures / Foundations of Complexity Sciences
  • Quantum Complexity / Quantum Information

Affiliations

  • Oslo Metropolitan University
  • SIMULA Research Laboratory

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