Efficient runtime adaptability to support context-awareness in a robotic framework

Abstract

* Corresponding author. E-mail: garciarmiguel@uniovi.es. On June 25, 2013, Miguel Garcia defended his PhD thesis on efficient runtime adaptability for context-aware systems at the University of Oviedo. He presented his dissertation in a publicly open presentation held in the School of Computer Engineering (Fig. 1). After commenting on every question raised by the assessing committee, he was awarded the highest grade possible (cum laude). Miguel Garcia obtained his PhD with International Doctorate honorable mention. His work was previously accessed by Dr. Jorg Thomaschewski (University of Applied Sciences, Emden, Germany) and Dr. Giner Alor (Technological Institute of Orizaba, Mexico). The thesis was supervised by Dr. Francisco Ortin, and the PhD dissertation Committee was composed of Professor Miguel A. Labrador (University of South Florida), Dr. J. Baltasar Garcia PerezSchofield (University of Vigo), and Professor Juan Manuel Cueva (University of Oviedo). Part the research work was carried out during a four-month research state at Liverpool John Moores University (UK), supervised by Professor Majdid Merabti and Dr. David Llewellyn-Jones. His work at Liverpool consisted in applying runtime adaptability to other scenarios such as distributed systems security [1] and dynamic aspect oriented development [2]. The research work was funded by the Spanish Ministry of Science and Innovation (project TIN2011-25978) and Microsoft Research. His fourFig. 1. PhD dissertation defense.