Miguel García Remesal

• D-2206 Departamento de Inteligencia Artificial
  Escuela Técnica Superior de Ingenieros Informáticos Universidad Politécnica de Madrid
  Campus de Montegancedo s/n
  28660 – Boadilla del Monte Madrid, Spain
• (+34) 91 067 28 90
• mgremesal@fi.upm.es

ACADEMIC FORMATION

• 2001: M.S. in Computer Science (UPM)
• 2006: Ph.D. in Computer Science and Artificial Intelligence (UPM)

PROFESSIONAL EXPERIENCE

• Desde 2019: Profesor Titular de Universidad (Tenured Position). Department of Artificial Intelligence. Escuela Técnica Superior de Ingenieros Informáticos (UPM)
• 2011 – 2019: Profesor Contratado Doctor (Tenured Position). Department of Artificial Intelligence. Facultad de Informática (UPM)
• 2009: Visiting Scholar. Department of Biomedical Informatics. The University of Utah (USA)
• 2007-2011: Associate Professor (Non-tenured Position). Department of Artificial Intelligence. Facultad de Informática (UPM)
• 2005: Visiting Scholar. Department of Computer Science. Rutgers, The State University of New Jersey (USA)
• 2002-2007: Researcher. Biomedical Informatics Group. Facultad de Informática (UPM)
• 2000-2002: Analyst / Programmer. AVANZIT Technology (formerly S.G.T.)

Teaching – Courses

• Reasoning Models (MSc in Computer Engineering) (in Spanish)
  • Statement of the HTN Planning assignment (2012/2013)
• Artificial Intelligence (MSc in Computer Engineering) (in Spanish)
  • Automated Planning: means-ends analysis and STRIPS (modified slides)
  • Control rules (slides)
  • Statement of the airport problem
• Artificial Intelligence (BSc in Computer Engineering)
  • Automated planning: STRIPS (modified slides)
  • Statement of the STRIPS practical assignment (2012/2013) – Sokoban (group 5SM1 Tuesdays-Thursdays)
  • Statement of the STRIPS practical assignment (2012/2013) – Sliding puzzle (group 5SM2 Mondays-Wednesdays)
  • Statement of the (simplified) airport problem
  • Statement of the Mars Rover problem
• Models for Inexact Reasoning – Master Europeo en Computación Lógica
• Biomedical Informatics – MSc in Artificial Intelligence and Master in Biomedical Engineering
  • Building medical expert systems: The Dempster-Shafer theory of evidence (slides)
  • Building medical expert systems: Reasoning with subjective pseudo-probabilities – The PROSPECTOR approach (slides)
• Common Sense Reasoning – MSc in Artificial Intelligence
  • Exploiting Background Knowledge in Automated Planning
• Intelligent Systems – BSc in Computer Engineering (in Spanish)
  • A brief introduction to Text Mining
  • Introduction to Information Retrieval (slides from the text by Baeza-Yates et al.)

Student Collaboration Grants

The Biomedical Informatics Group is currently offering collaboration grants for undergraduate and  graduate students to participate in different research projects funded by the European Commission in the Medical Informatics, Bioinformatics and Naninformatics areas. These are partial time positions consisting of about 30 hours per week. Remuneration depending on the candidate’s experience, qualification and skills. It is required a minimum GPA of A- (80-84 points) in the transcript of records. All candidates must send an email to professor Miguel García Remesal(mgarcia@infomed.dia.fi.upm.es) including a copy of the transcript of records and the Curriculum Vitae.

Topics for Masters & Ph.D. Dissertations

If you are interested in doing your Masters or Ph.D. dissertation in any of the following topics:

• Heterogeneous database integration
• Text mining and document classification
• Information retrieval and web search engines
• Automated planning

Submit your CV, together with a copy of your transcript  of records to mgarcia@infomed.dia.fi.upm.es

Scientific Publications