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Prof. Jose L. Salmeron

Principal AI & Quantum Scientist
Capgemini

(Catedrático) Professor of Computer Science and Artificial Intelligence
CUNEF Universidad (Madrid, Spain)

  1. Positions
  2. Research
  3. Projects
  4. Publications

LinkedIn | email: salmeron@acm.org


Prof. Jose L. Salmeron, Ph.D., Eng., ACM Senior Lifetime member serves as Principal AI & Quantum Scientist at the Hybrid Intelligence division of Capgemini and holds the position of (Catedrático) Professor of Computer Science and Artificial Intelligence at CUNEF University. He has over 25 years of experience in technology and research, including academic positions at several universities, consulting in the IT industry, and a wide range of collaborations with private and public organizations such as Intel, Cisco, Vodafone, Gilead, Microsoft, Airbus, BBVA and others. He has also been awarded ACM Senior Membership.

Prof. Salmeron is an enthusiastic scholar and he is highly interested in inter-disciplinary and international team-building and sustained research projects collaboration. Moreover, he is actively involved (as the leader or team member) in several research projects, funded by national and international organizations, including the European Union and the Spanish Ministry of Science.

Prof. Salmeron has consistently been featured in Stanford list of the world’s top 2% scientists since the initial version. He has authored or co-authored over 200 scientific articles, conference papers, and book chapters indexed in ISI Web of Science. Furthermore, his work has garnered over 5,600 citations from researchers in 20 different countries, resulting in an h-index of 36 on Google Scholar. His primary research interests encompass eXplainable Artificial Intelligence, Distributed Artificial Intelligence, Reservoir Computing, Quantum Computing, Causal Machine Learning, and Federated Learning.



Positions held


Postdoctoral

Predoctoral



Research

Research Interests

eXplainable Artificial Intelligence, Distributed Artificial Intelligence, Quantum computing, Causal Machine Learning, Federated Learning and always keeping an eye on emerging trends

Editorialships

Scientific boards and committees



Projects



Publications

Selected papers

Books and chapters

Selected conference proceedings