Ester Bernadó-Mansilla

Ester Bernadó-Mansilla, PhD, is the Director of the Polytechnic School at Tecnocampus (Universitat Pompeu Fabra), Spain. She holds degrees in Technical Engineering in Telecommunications, and in Electronics Engineering, as well as a doctorate in Computer Engineering from Ramon Llull University. She also has a postgraduate degree in Direction and Management (Jo Directiva) from Esade and is an accredited professional coach. In 2009 she received recognition for research accreditation from AQU. She is an expert in machine learning and data science and has participated and directed several projects in the field of basic and applied research. Ester is part of the National Expert HEInnovate Facilitators Group, and participates in co-creation projects for the design of services and products aimed at citizens from the field of social innovation. She has published widely on educational innovation and has taught courses on software engineering and programming, artificial intelligence, data analytics, creativity and entrepreneurship. She has held various academic management positions including Programme Director for the Degree in Video Game Design and Production (Tecnocampus), Director of International Relations (Tecnocampus), and Director of the Consolidated Research Group on Intelligent Systems and Director of the Software Engineering Area (Ramon Llull University).


Strategies for the Creation and Maintenance of Entrepreneurial Universities
Colette Henry, Bárbara Filipa Casqueira Coelho Gabriel, Klaus Sailer, Ester Bernadó-Mansilla, Katja Lahikainen. © 2022. 307 pages.
Higher Education Institutions (HEIs) around the world are being pressured to become more entrepreneurial. However, the concept of an entrepreneurial university has remained...
A Review of Entrepreneurial Higher Education Institution Activities Across the Dimensions of HEInnovate
Ester Bernadó-Mansilla, Davy Vercruysse. © 2022. 36 pages.
This study provides an overview of the important initiatives higher education institutions (HEIs) are implementing to develop their entrepreneurial and innovative potential. The...
Introduction to the Experimental Design in the Data Mining Tool KEEL
J. Alcalá-Fdez, F. Herrera, S. García, M.J. del Jesus, L. Sánchez, Ester Bernadó-Mansilla, A. Peregrín, S. Ventura. © 2010. 25 pages.
KEEL is a Data Mining software tool to assess the behaviour of evolutionary learning algorithms in particular and soft computing algorithms in general for different kinds of Data...