Research Interests
Machine Learning for Healthcare
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Interested in the research on machine learning and time-series analysis algorithms able to process big data in an efficient, adaptive, and robust way. Currently focused on Oocyte Biology Research (see Eurova Training Network and 2019-DI-24), on the assessment of the indoor air quality effects in health (see K-HiA project), on their application to Cognitive Stimulation and Rehabilitation (see Play&Sing, Innobrain, and Cognitio projects), and on Chronicity and Autism Spectrum Disorders (see BioMoCISVA and AMATE projects).
Machine Learning for Music
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Another topic of my interest is the use of Machine Learning techniques to reason and learn about musical processes like expressive music generation. Currently focused on the study of musical expressivity in Nylon Guitars (see guitarLab) and social tools for music education (see PRAISE). We have studied the issue of expressiveness in the context of tenor saxophon interpretations (see Saxex and TempoExpress systems) in collaboration with the Music Technology Group (UPF).
Current Projects
| Visor EEG: | dispositiVo regIStro hOlter seRas EEG |
| K-HiA: | Knowledge for improving indoor Air quality and Health |
| Eurova: | European Oocyte Biology Research Innovation Training Network |
| 2019-DI-24: | Machine learning applications for the prediction of effective treatments in human infertility |
| Play&Sing: | Playing and Singing for the Recovering Brain |
| Crowd4SDG: | Citizen Science for Monitoring Climate Impacts and Achieving Climate Resilience |
| TECSAM: | Innovation Network for New Technologies in Mental Health |
| CI-SUSTAIN: | Advanced Computational Intelligence Techniques for Reaching Sustainable Development Goals |
Past Projects
| NanoMOOCs: | New audiovisual format with advanced technological capabilities for learning |
| BioMoCISVA: | Biometrical monitoring of Chronically ill and Support through a Virtual Agent |
| Innobrain: | New technologies for the innovation in cognitive stimulation and rehabilitation |
| Draga: | Digital Reconstruction of the Prehistoric Past |
| CityBeats: | Meaningful civic engagement to build human cities |
| AMATE: | Data-Mining for Therapeutic Analysis of Behaviors in Autism Spectrum Disorders |
| NASAID: | New trends of ML systems for data-based computer science |
| Cognitio: | Case-Based Reasoning for the optimization of cognitive rehabilitation on TBI |
| PRAISE: | Practice and peRformance Analysis Inspiring Social Education |
| AT: | Agreement Technologies |
| WorthPlay: | Worth Playing Digital Games for Active and Positive Ageing |
| Next-CBR: | Evolving CBR for multi-source experience and knowledge-rich applications |
| EVE: | Engineering Self-* Virtually-Embeded Systems |
| BUSCAMEDIA: | Atomatic generation of narrative content |
| ANERIS: | Development of an Intelligent Oceanographic Probe with Autonomous Sampling Capabilities |
| ONCNOSIS: | Identification of biomarkers with diagnostic and therapeutic value for the neoplastic disease |
| IEA: | Autonomic Electronic Institutions |
| MID-CBR: | An Integrative Framework for Developing Case-based Systems |
| eRep: | Social Knowledge for e-Governance |
| QUALNAVEX: | Qualitative Navigation of Autonomous Robots with Learning by Experience capabilities |
| CBR-ProMusic: | Case-Based Reasoning for Content-Based Music Processing |
| TMS: | The Touring Management System |
| ARGOS-QUALNAV: | Autonomous Robot navigation guided by visual targets |
| TABASCO: | Content-based Audio Transformation |
| e-Institutor: | Automatic trade by Intelligent Autonomous agents in electronic Institutions |
| IBROW: | An Intelligent Brokering Service for Knowledge-Component Reuse on the World Wide Web |
| MLnet II: | Network of Excellence in Machine Learning II |
| Smash: | Sistemas Multi-agente y su aplicación en servicios hospitalarios |
| COMRIS: | Co-Habited Mixed-Reality Information Spaces |
| MLnet: | Network of Excellence in Machine Learning |
| ANALOG: | Foundations of Analogical Inference and their Applications to Symbolic Reasoning and Learning |
| AMP: | A Learning System Based on a Massive Memory Architecture |
| SPES: | Specification of Parallel Expert Systems |
Current PhD Students
| Athanasiou, Georgios (Eurova Training Network) | Topic: Machine Learning for Healthcare |
| Correa, Núria (Industrial PhD) | Topic: Machine Learning for Healthcare |
| David, Gomez (Co-advisored with ICO) | Topic: Machine Learning for Healthcare |
| Velasco, Borja (Industrial PhD, AQUAS) | Topic: Machine Learning for Healthcare |
Former PhD Students
| Tan Hakan Ozaslan (Ph.D. in 2013) | Currently Big Data Scientist at Google |
| José Luis Fernández (Ph.D. in 2011) | Currently at University of Geneva |
| Maarten Grachten (Ph.D. in 2006) | Currently at Austrian Research Institute for Artificial Intelligence |
| Mulayim, Oguz (Ph.D. in 2020) | Currently Postdoc researcher in the Crowd4SDG project |
| Sánchez-Pinsach, David (Ph.D. in 2020) | Currently at Institut Guttmann, Neurorehabilitation hospital |
Former Post-Doctoral Researchers
| Ismel Brito | Currently at Lemonade Software Development |
| Enric Guaus | Currently at ESMUC |
| Aaron Montero | Currently Data Scientist at Chemotargets |
| Arturo Ribes | Currently CEO at WeAR Technologies |
| Joan Serrà | Currently at Dolby Labs. |
Former Master Students
| Sara Hoeksma (UPC, 2018) | Artificial Intelligence Techniques to support Cognitive Rehabilitation |
| Daniel Verdes (UAB, 2018) | Data Mining methodology to early detection of Alzheimer |
| Sergi Cebrián (UAB, 2018) | Model-free video game personalization for educational serious games |
| Ferran Mestres (UAB, 2014) | Q-Learning in an Open-Space Combat Scenario for Real-Time Strategy Games |
| David Perálvarez (UAB, 2013) | Choosing the Recommender System to Best Fit Data |
| Albert Vilamala (UAB, 2010) | Detection and Identification of Phytoplankton Assemblages using Case-Based Reasoning |
| Tan Hakan Ozaslan (UPF, 2009) | Expressive Analysis of Violin Performers |
| Jose Luis Fernández (UAB, 2007) | Modeling of Dynamic Systems by Artificial Neural Networks |
| Àngela Fàbregas (UAB, 2007) | Identification of key elements for the control of complex systems |
| Christian Haendhel (U. Bremen, 2001) | Case-based generation of melodic improvisations |
| Maarten Grachten (U.Groningen, 2001) | Domain-based generation of melodic improvisations |
Teaching
Teacher at Universitat de Girona (Advanced Techniques of Artificial Intelligence).
Promoter of the Smart Healthcare Master.
I regularly teach master courses on Machine Learning and
Case-Based Reasoning at different Spanish Universities.
Occasionally, I perform talks about AI and Healthcare, AI and Music, Machine Learning, or Self-* systems.
Awards
| 2013 | "Best Paper Award" in the Int. Conf. on Advanced Cognitive Technologies and Applications (COGNITIVE-13) |
| 2012 | "Best in Class Award" in the 2012 Music Information Retrieval Evaluation eXchange contest (MIREX-12 Structure Segmentation task). |
| 2006 | "Best Paper Award" in the European Conference on Case-Based-Reasoning (ECCBR-06) |
| 2005 | "Best In Class Award" in the First Annual Music Information Retrieval Evaluation eXchange Contest (MIREX-05 Symbolic Melodic Similarity Contest). |
| 2003 | "Best Paper Award" in the International Conference on Case-Based-Reasoning (ICCBR-03) |
| 1997 | "Swets & Zeitlinger Distinguished Award" in the International Computer Music Conference (ICMC-97) |
CV
Visiting Researcher at McGill University, collaborating with Dr. Robert J. Zatorre, Montreal Neurological Institute (2012).
Visiting Researcher at CIRMMT, collaborating with Dr. Marcelo M. Wanderley, Centre for Interdisciplinary Research in Music Media and Technology (2012).
Research Scientist at the Artificial Intelligence Research Institute (IIIA-CSIC) since 2009.
Visiting Researcher at Indiana University, collaborating with Dr. David B.Leake, School of Informatics and Computing (2005).
Tenured Scientist at the Artificial Intelligence Research Institute (IIIA-CSIC) from 2000 to 2009.
Head of the Technology Transfer Unit (UDT-IA) at de IIIA-CSIC from 2002 to 2007.
Ph.D. on Computer Science by the Technical University of Catalunya (UPC) in 1997. The Phd was devoted to the design and implementation of the Noos representation language (Advisor Enric Plaza). The Noos language is a reflective object-centered representation language for developing knowledge systems that integrate problem solving and learning. Learning methods were introduced as reasoning methods with introspection capabilities able to improve/modify the knowledge of the system.
M.Sc. on Music Creation and Sound Technology by the Universitat Pompeu Fabra (UPF) in 1996. The master thesis was devoted to the design and implementation of Saxex.
M.Sc. on Computer Science by the Facultat d'Informàtica de Barcelona (FIB) of the Technical University of Catalunya (UPC) in 1992. The master thesis was devoted to the design and implementation of a compiler for the MILORD II language. This language is focused to the incremental construction of knowledge bases by means of its modular, refinenent and generic description capabilities.
Degree on Computer Science by the Facultat d'Informàtica de Barcelona (FIB) of the Technical University of Catalunya (UPC) in 1991.
Born in 1968 in Callús (El Bages, Catalunya).