Michalis P. Michaelide
Michalis P. Michaelides is an Assistant Professor in the Department of Electrical Engineering, Computer Engineering and Informatics. He received a BSEE (1997) and a MSEE (1998), both with honors, from the School of Electrical and Computer Engineering at Purdue University, West Lafayette, IN, USA. During 1999-2007 he has worked in the Cyprus industry as a Medical Service Engineer and as an Information Technology Officer. In 2009, he received his PhD from the Department of Electrical and Computer Engineering at the University of Cyprus and during the next two years he was employed as a research fellow at the KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus. Michalis research interests include communication systems, wireless sensor networks, event detection and localization, fault detection and diagnosis, fault tolerance, collaborative signal and information processing, computational intelligence with applications to environmental monitoring, intelligent irrigation systems, intelligent buildings, intelligent ports and sea traffic management. In 2014, he received the Elsevier Building and Environment Journal Best Paper Award. Michalis P. Michaelides is an Assistant Professor in the Department of Electrical Engineering, Computer Engineering and Informatics. He received a BSEE (1997) and a MSEE (1998), both with honors, from the School of Electrical and Computer Engineering at Purdue University, West Lafayette, IN, USA. During 1999-2007 he has worked in the Cyprus industry as a Medical Service Engineer and as an Information Technology Officer. In 2009, he received his PhD from the Department of Electrical and Computer Engineering at the University of Cyprus and during the next two years he was employed as a research fellow at the KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus. Michalis research interests include communication systems, wireless sensor networks, event detection and localization, fault detection and diagnosis, fault tolerance, collaborative signal and information processing, computational intelligence with applications to environmental monitoring, intelligent irrigation systems, intelligent buildings, intelligent ports and sea traffic management. In 2014, he received the Elsevier Building and Environment Journal Best Paper Award. Michalis P. Michaelides is an Assistant Professor in the Department of Electrical Engineering, Computer Engineering and Informatics. He received a BSEE (1997) and a MSEE (1998), both with honors, from the School of Electrical and Computer Engineering at Purdue University, West Lafayette, IN, USA. During 1999-2007 he has worked in the Cyprus industry as a Medical Service Engineer and as an Information Technology Officer. In 2009, he received his PhD from the Department of Electrical and Computer Engineering at the University of Cyprus and during the next two years he was employed as a research fellow at the KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus. Michalis research interests include communication systems, wireless sensor networks, event detection and localization, fault detection and diagnosis, fault tolerance, collaborative signal and information processing, computational intelligence with applications to environmental monitoring, intelligent irrigation systems, intelligent buildings, intelligent ports and sea traffic management. In 2014, he received the Elsevier Building and Environment Journal Best Paper Award. Michalis P. Michaelides is an Assistant Professor in the Department of Electrical Engineering, Computer Engineering and Informatics. He received a BSEE (1997) and a MSEE (1998), both with honors, from the School of Electrical and Computer Engineering at Purdue University, West Lafayette, IN, USA. During 1999-2007 he has worked in the Cyprus industry as a Medical Service Engineer and as an Information Technology Officer. In 2009, he received his PhD from the Department of Electrical and Computer Engineering at the University of Cyprus and during the next two years he was employed as a research fellow at the KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus. Michalis research interests include communication systems, wireless sensor networks, event detection and localization, fault detection and diagnosis, fault tolerance, collaborative signal and information processing, computational intelligence with applications to environmental monitoring, intelligent irrigation systems, intelligent buildings, intelligent ports and sea traffic management. In 2014, he received the Elsevier Building and Environment Journal Best Paper Award.
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About Michalis P. Michaelide
Michalis P. Michaelides is an Assistant Professor in the Department of Electrical Engineering, Computer Engineering and Informatics. He received a BSEE (1997) and a MSEE (1998), both with honors, from the School of Electrical and Computer Engineering at Purdue University, West Lafayette, IN, USA. During 1999-2007 he has worked in the Cyprus industry as a Medical Service Engineer and as an Information Technology Officer. In 2009, he received his PhD from the Department of Electrical and Computer Engineering at the University of Cyprus and during the next two years he was employed as a research fellow at the KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus. Michalis research interests include communication systems, wireless sensor networks, event detection and localization, fault detection and diagnosis, fault tolerance, collaborative signal and information processing, computational intelligence with applications to environmental monitoring, intelligent irrigation systems, intelligent buildings, intelligent ports and sea traffic management. In 2014, he received the Elsevier Building and Environment Journal Best Paper Award. Michalis P. Michaelides is an Assistant Professor in the Department of Electrical Engineering, Computer Engineering and Informatics. He received a BSEE (1997) and a MSEE (1998), both with honors, from the School of Electrical and Computer Engineering at Purdue University, West Lafayette, IN, USA. During 1999-2007 he has worked in the Cyprus industry as a Medical Service Engineer and as an Information Technology Officer. In 2009, he received his PhD from the Department of Electrical and Computer Engineering at the University of Cyprus and during the next two years he was employed as a research fellow at the KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus. Michalis research interests include communication systems, wireless sensor networks, event detection and localization, fault detection and diagnosis, fault tolerance, collaborative signal and information processing, computational intelligence with applications to environmental monitoring, intelligent irrigation systems, intelligent buildings, intelligent ports and sea traffic management. In 2014, he received the Elsevier Building and Environment Journal Best Paper Award.
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Motivational Profiles in TIMSS Mathematics :Exploring Student Clusters Across Countries and Time
This open access book presents a person-centered exploration of student profiles, using variables related to motivation to do school mathematics derived from the IEA’s Trends in International Mathematics and Science Study (TIMSS) data. Statistical cluster analysis is used to identify groups of students with similar motivational profiles, across grades and over time, for multiple participating countries. While motivational variables systematically relate to school outcomes, linear relationships can obscure the diverse makeup of student subgroups, each with varying combinations of motivation, emotions, and attitudes. In this book, a person-centered analysis of distinct and meaningful motivational profiles and their differences on sociodemographic variables and mathematics performance broadens understanding about the role that motivation characteristics play in learning and achievement in mathematics. Exploiting the richness of IEA’s TIMSS data from many countries, extracted clusters reveal consistent, as well as certain nuanced patterns that are systematically linked to sociodemographic and achievement measures. Student clusters with inconsistent motivational profiles were found in all countries; mathematics self-confidence then emerged as the variable more closely associated with average achievement. The findings demonstrate that teachers, researchers, and policymakers need to take into account differential student profiles, prioritizing techniques that target skill and competence in mathematics, in educational efforts to develop student motivation.
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