Francisco J. Cantu Ortiz, Ph.D.

Francisco J. Cantu Ortiz, Ph.D.

Research Areas:

  • Knowledge-based systems
  • Machine learning
  • Data mining
  • Data science using Bayesian and statistical techniques for research analytics, research strategy, and science
  • Technology management.

Professor Francisco J. Cantu-Ortiz holds a PhD in Artificial Intelligence from the University of Edinburgh, UK, an MSc in Computer Science from North Dakota State University, USA, and a BSc in Computer Systems Engineering from Tecnológico de Monterrey (ITESM), México. He is Emeritus Professor of Computer Science and Artificial Intelligence and was Associate Vice-Provost for Research and responsible for World University Rankings at ITESM 2003-2017. He was head of the Center for Artificial Intelligence and the Center for Informatics Research and has published scientific articles in research journals, conferences, and edited books. He has been an invited speaker in various international conferences and is accredited as National Researcher by the National Council for Science and Technology, Mexico. He is member of the QS Advisory Board for University Rankings, a member of the Steering Committee of EduData Summit, and consultant in strategic research planning of higher education institutions. His research interests include knowledge-based systems, machine learning, data mining, and data science using Bayesian and statistical techniques for research analytics, research strategy, and science & technology management. He has an interest in epistemology and philosophy of science & religion.





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