1. Applications of Artificial Intelligence
Medical Informatics
Bioinformatics
Hydroinformatics
Neuroscience
Semantic Web.
Internet of the Future
Nanocomputing
2. Natural Computing
Natural Computing
Bio-inspired Computing
Evolutionary Computation
Synthetic Biology
Biological Systems Engineering
Systems Biology
Biomolecular Computing
DNA Computing
Cellular Programming
PhD PROGRAMME IN
ARTIFICIAL
INTELLIGENCE
The PhD Programme in Artificial Intelligence (PDIA) of the Universidad Politécnica de Madrid (UPM) is part of the Postgraduate offer of the Escuela Técnica Superior de Ingenieros Informáticos of the UPM.
15
PLAZAS
(por curso académico)
3. Perception, Manipulation and Communication
Human-machine Interaction
Mobile Robotics, Multi-robot And Multi-component Systems
Advanced Control
Cognitive And Bio-inspired Models
Digital Image Processing
And Computer Vision
Language Resources
Machine Translation
Information Retrieval
And Extraction
Language Engineering
Question-answering systems
4. Computational Intelligence
Machine Learning
Bayesian Networks
Decision Theory
Multiobjective Optimization
Feature selection
Heuristic Optimization Methods
Estimation Of Distribution Algorithms
PhD PROGRAMME IN
ARTIFICIAL
INTELLIGENCE
15
PLACES
(by academic year)
The PhD Programme in Artificial Intelligence (PDIA) of the Universidad Politécnica de Madrid (UPM) is part of the Postgraduate offer of the Escuela Técnica Superior de Ingenieros Informáticos of the UPM.
5 lines of research
1
2
3
4
5
Applications of Artificial Intelligence
Medical Informatics
Bioinformatics
Hydroinformatics
Neuroscience
Semantic Web.
Internet of the Future
Nanocomputing
Natural Computing
Natural Computing
Bio-inspired Computing
Evolutionary Computation
Synthetic Biology
Biological Systems Engineering
Systems Biology
Biomolecular Computing
DNA Computing
Cellular Programming
Perception, Manipulation y Communication
Human-machine Interaction
Mobile Robotics, Multi-robot And Multi-component Systems
Advanced Control
Cognitive And Bio-inspired Models
Digital Image Processing And Computer Vision
Language Resources
Machine Translation
Information Retrieval And Extraction
Language Engineering
Question-answering system
Computational Intelligence
Machine Learning
Bayesian Networks
Decision Theory
Multiobjective Optimization
Feature selection
Heuristic Optimization Methods
Estimation Of Distribution Algorithms
Knowledge Representation And Reasoning
Ontology Engineering
Semantic Web
Linked Data
Multilingualism
Logic Models
Description Logic
Extensions Of Classical Logic
Logic Programming
Data Integration
Content Repressentativeness. Application Contexts
Agents and multiagent systems
Fuzzy Logic
Common Sense Reasoning
Qualitative Reasoning
Probabilistic Reasoning
Model-based Reasoning
Non-monotonic Reasoning
Five lines of research
Current advances and future directions in artificial intelligence research
The initial training period of the Phd Program in Artificial Intelligence is constituted by the University Master’s Degree in Artificial Intelligence by the Universidad Politécnica de Madrid. Organized and taught by the Department of Artificial Intelligence, it is an integral part of the official postgraduate offerings of the School of Computer Engineers of the UPM.
5.
Knowledge Representation And Reasoning
Ontology Engineering
Semantic Web
Linked Data
Multilingualism
Logic Models
Description Logic
Extensions Of Classical Logic
Logic Programming
Data Integration
Content Repressentativeness Application Contexts
Agents and multiagent systems
Fuzzy Logic
Common Sense Reasoning
Qualitative Reasoning
Probabilistic Reasoning
Model-based Reasoning
Non-monotonic Reasoning
Aim of the programme
Promoting a cycle of continuous innovation: where research inspires innovation and innovation drives new AI research
As its main aim of the programme
Intends to bestow a better knowledge in research techniques onto students from fields related to Computing Science and Computer Technology in order for them to be able to approach and solve new scientific and technological problems through research in Artificial Intelligence.
Additional aim of the programa
This general objective can be complemented with an additional goal that is essential for the contents and purpose of this PhD programme, based on the pairing of innovating research and researching innovation. The first goal aims at innovative lines of research that combine the specialised nature of this academic training and the creativity behind original, active and productive researching careers. The second goal leads to the ability to be creative when facing and solving problems through research.
Programme strengths
Its strengths include
Sustainability
of the programme. It was the first Doctoral Programme created in the Faculty of Computer Science at the Polytechnic University of Madrid. It has a long history -around forty years-, during which time it has received Quality Mentions from the Ministry of Education and Science (academic years 1996/97, 2000/01, 2001/02, 2005/06, 2006/07, 2007/08) and Mention of Excellence from the Ministry of Education, Culture and Sport for the academic years 2011-2012 to 2013-2014 (this being the last open call for this type of mention).
Strong connection to the business world
through projects with companies (national and international) and also through the calls of the National Plan. This allows companies to participate in the training of students, and students to come into contact with the world of work through innovation.
This also allows theses to be carried out in collaboration with companies (agreements are encouraged to obtain the mention “Industrial Doctorate” on the doctoral degree).
Funding and internationalisation
Members of the Programme’s research teams participate on a sustained basis in the competitive environment of R&D&I projects funded by the European Community Framework Programme. This allows:
– students to come into contact with highly-qualified professors and researchers from other consolidated international institutions in their field,
– to have resources for training, mobility and internationalisation (stays are encouraged in order to obtain the mention “International Doctorate” on the doctoral degree).
Academic Staff
with a strong and up-to-date qualification, as can be seen from the average number of recognised research periods (3.63 sexenios of research, among the own researchers who, due to their professional category, can be evaluated), which means a wide, sustained and up-to-date experience in terms of research.
Job placement
is also a strength of the programme. The social demand for training in Artificial Intelligence means that graduates of the programme will find qualified work in a short time.
Opening
The programme is open to any student of any nationality – and from any university – with interests in the area of Artificial Intelligence to carry out their thesis under the supervision of a PhD member of the research team. Co-direction by external researchers who meet the general criteria of the UPM Doctoral Model and the specific criteria of the Programme regarding the accreditation of their research experience are also encouraged.
The quality of the thesis
and its derived publications. We consider it a necessary indication of quality for the defence of a doctoral thesis to have publications in journals indexed in the Journal Citation Reports (JCR) catalogue (or equivalent in the case of scientific congresses), which guarantees the quality of the thesis results having been evaluated in an external peer review process.
Programme history
Continuity and quality over time: reflecting the solid history of the PhD in Artificial Intelligence with prestigious mentions of excellence.
The phD programe in Artificial Intelligence is adapted from what is decreeded in the Royal Decree 99/2011 , of previous PhD programmes in artificial intelligence linked to successive royal decrees since the creation of the Faculty of Computer Science at the UPM, the previous name of the School of Computer Engineering.
Throughout the years, the different doctoral programmes have obtained on several occasions Mention of Excellence from the Ministry of Education, Culture and Sport for the academic years 2011/12, 2012/13 and 2013/14, and Mention of Quality from the Ministry of Education and Science in the academic years 1996/97, 2000/01, 2001/02, 2005/06, 2006/07, 2007/08.