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Credits: Miguel Ángel Molina
Researcher and Lecturer
Andalusian Research Institute in data science and computational intelligence (DaSCI)
University of Granada
Natalia Díaz Rodríguez has a double PhD degree (2015) from University of Granada (Spain) and Åbo Akademi University (Finland).
She is currently Marie Curie postdoctoral researcher and docent at the DaSCI Andalusian Research Institute in data science and computational intelligence (DaSCI.es) at the Dept. of Computer Science and Artificial Intelligence. Earlier, she worked in Silicon Valley, CERN, Philips Research, University of California Santa Cruz and with FDL Programme with NASA.
She was also Assistant Prof. of Artificial Intelligence at the Autonomous Systems and Robotics Lab (U2IS) at ENSTA, Institut Polytechnique Paris, INRIA Flowers team on developmental robotics during 4 years, and worked on open-ended learning and continual/lifelong learning for applications in computer vision and robotics.
Her current research interests include deep learning, explainable Artificial Intelligence (XAI), Responsible, Trustworthy AI and AI for social good.
Her background is on knowledge engineering and is interested in neural-symbolic approaches to practical applications of responsible and ethical AI.
Education
Doctoral diploma on Innovation and Entrepreneurship, 2017
European Institute of Technology (EIT Digital) (Sweden, France, Finland)
Double PhD in Artificial Intelligence, 2015
Abo Akademi University, Turku (Finland) and University of Granada (Spain)
M Sc. Soft Computing and Intelligent Systems, 2012
University of Granada (Spain)
M Sc. Computer Engineering, 2010
University of Granada (Spain)
Interests
Artificial Intelligence
Deep learning
Open-ended Learning
Explainable AI
Neural-Symbolic learning and reasoning
Sustainable and Green AI
Guest Talks
Core IA session of the Research Focus Forum 'Artificial Intelligence and its applications'- arQus European University Alliance. University of Granada, Granada, Spain. 26th-28th September 2022.
Accelerating Artificial Intelligence #2. Organized by Intelligent Computing Platforms & Solutions and NVIDIA. Virtual. 27/10/2021
WiDS: Women in Data Science. Remote/ Turku (Finland). 10/06/2021
NERL workshop @ ICLR. Virtual. 08/05/2021
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI (Charla invitada). Paris, France & Remote. 21/12/2020
State Representation Learning for control: an overview. International School for Advanced Studies, Trieste, Italy. 28/05/2020
EXplainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. DARPA XAI workshop. Remote/Turku (Finland). 3/4/2020. https://www.youtube.com/watch?v=UcN7tRvXxmI
Continual learning and state representation learning for robotics. Paris, Francia. 07/06/2019
Continual learning and Robotics: framework, metrics and challenges. ICML19 Intl Workshop on Multi-Task and Lifelong Reinforcement Learning, Long Beach, California. 15/06/2019. Invited talk and panel speaker: video and program.
Satellite GT8 Workshop SBDM 2018, 8th Intl Symposium on Biology of Decision Making. "Robotics and Neuroscience" working- group of the French National Robotics network (CNRS GDR Robotique) and the Japanese "AI and Brain Science" project. Sorbonne University, Paris, France. 25/05/2018
State Representation Learning for Robotics. EU Joint Research Centre Science, Seville, Spain. 23/04/2018. https://ec.europa.eu/jrc/communities/en/community/event/research-seminar-natalia-diaz-rodriguez-ensta-paris-state-representation-learning
Can supervised and unsupervised learning marry happily? Use Cases on Human Activity Recognition. Northeastern University, Boston, Massachusetts, USA. 09/02/2017
A folksonomy of styles. Télécom ParisTech, Paris, France. 06/02/2017.
Can supervised and unsupervised learning marry happily? Use Cases on Human Activity Recognition. School of Engineering at Standford University, Stanford, California, USA. 04/08/2015
Semantic and Fuzzy Modelling for Human Behaviour Recognition in Smart Spaces- A case study on Ambient Assisted Living. National Institue of Technology Meghalaya (NITM), India. 3th - 5th March 2015
Semantic and Fuzzy Modelling for Human Behaviour Recognition in Smart Spaces- A case study on Ambient Assisted Living. Kharagpur, India. 02/03/2015
Fuzzy Logic in Smart Spaces. Ryerson University, Toronto, Canada. 03/07/2013
Featured Projects
RRR-XAI
Right for the Right Reasons EXplainable Artificial Intelligence. 2023
Continual AI is an Open Community of Researchers and Enthusiasts on Continual/Lifelong Learning and AI. 2018
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics. 2018