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Josep Lluís Arcos
Research Scientist

T: (+34) 93 580 9570
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Research
Projects
PhD Students
Publications
Google Scholar
Teaching
Awards
CV

Research Interests

Machine Learning for Healthcare

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 their application to Cognitive Stimulation and Rehabilitation (see Innobrain and Cognitio projects) and Autism Spectrum Disorders (see AMATE project).

Machine Learning for Music

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).

Case-Based Reasoning

Interested in the design of Knowledge-Intensive CBR systems and the techniques involved in retrieving and adapting highly structured cases (see our CBR Homepage). Currently focused on the design of CBR systems with introspective capabilities for autonomously improving the retrieval and adaptation steps (see NEXT-CBR project).

Self-* Systems

Mainly focused on the study of self-organization and self-adaptation in the context of autonomic electronic institutions (see EVE and AT Projects).

Current projects

Innobrain: New technologies for the innovation in cognitive stimulation and rehabilitation
AMATE: Data-Mining for Therapeutic Analysis of Behaviors in Autism Spectrum Disorders
Draga: Digital Reconstruction of the Prehistoric Past
NASAID: New trends of ML systems for data-based computer science
CityBeats: Meaningful civic engagement to build human cities

Past projects

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 aplicaci\xc3\xb3n 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

Mulayim, Oguz
Salazar-Ramirez, Norman
Sánchez-Pinsach, David

Current Post-Doctoral Researchers

Arturo Ribes

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.

Former Post-Doctoral Researchers

Enric GuausCurrently at ESMUC
Joan SerràCurrently at Telefonica R&D.

Teaching

Teacher and Promoter of the Smart Healthcare Master at Universitat de Girona.
I regularly teach master courses on Machine Learning and Case-Based Reasoning at different Spanish Universities. Occasionally, I perform talks about 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).