{"id":75,"date":"2019-06-21T13:42:31","date_gmt":"2019-06-21T10:42:31","guid":{"rendered":"http:\/\/iee.it.teithe.gr\/?page_id=75"},"modified":"2026-11-02T14:06:17","modified_gmt":"2026-11-02T11:06:17","slug":"research_labs","status":"publish","type":"page","link":"https:\/\/www.iee.ihu.gr\/en\/research_labs\/","title":{"rendered":"Research Laboratories"},"content":{"rendered":"<p>The Department has established and operates in accordance with Law 4485\/2017 (Government Gazette 114\/issue A\/04-08-2017) \u201cOrganization and operation of higher education, research arrangements and other provisions\u201d three Research Laboratories. In their internal operation rules, the specified activities of each laboratory include (a) the promotion of science and the support of conducting research to cover the teaching needs of the Department in the knowledge areas (and the corresponding Learning Sections) of each Laboratory. In summary, the five Research Laboratories and the corresponding Learning Sections that each one provides are as follows:<\/p>\n<h4>Laboratory of Robotics<\/h4>\n<h5><a href=\"https:\/\/robotics.iee.ihu.gr\/\">https:\/\/robotics.iee.ihu.gr\/<\/a><\/h5>\n<p>The mission of the Laboratory of Robotics is to conduct fundamental and applied research to develop intelligent robotic systems that perceive their surroundings, make decisions and act autonomously or collaboratively. The Laboratory\u2019s research interests include the development of algorithms and methods for robot vision and perception, machine learning, artificial intelligence, and automatic and intelligent control, as well as their implementation on embedded systems and edge AI platforms. Its scope also includes haptic perception, physical interaction between robots and their environment, and human\u2013machine interaction. Modelling, simulation and digital twins support the study, development and evaluation of robotic systems and automation technologies. By connecting theoretical research with experimental implementation, the Laboratory aims to advance scientific knowledge and develop technological solutions in collaboration with academic institutions, research organisations and industry partners.<\/p>\n<h4><\/h4>\n<h4 class=\"widget-title\">Information Management &amp; Software Engineering (IMSE) Laboratory<\/h4>\n<h5><a href=\"https:\/\/imselab.iee.ihu.gr\/\">https:\/\/imselab.iee.ihu.gr<\/a><\/h5>\n<p>The Information Management &amp; Software Engineering Laboratory is an active research group engaged in research in the fields of Data Science, Software Science, Software Engineering, Exploratory Data Analysis, Data Analytics, Distributed Data Mining, Data Mining and Web Mining, Big Data Analytics and Mining, Temporal and Spatial Data Processing Methods, Retrieving Information from Databases, Bibliometrics, Scientometrics, Science of Science, Structures, Models and Databases, Distributed Databases, Data Warehouses, Recommended Systems, Interactive Systems, Empirical Studies in Object-Oriented Technology, Software and Flexible Methods, Quality, Reliability and Software Evaluation Metrics, Heuristic Rules.<\/p>\n<h4 class=\"widget-title\">Intelligent Systems Laboratory<\/h4>\n<h5><a href=\"https:\/\/islab.iee.ihu.gr\/\">https:\/\/islab.iee.ihu.gr<\/a><\/h5>\n<p>Machine Learning, Artificial Intelligence, Logical Programming, Intelligent Systems, Evolutionary Computation, Hypermedia Systems, Semantic Web, Digital Libraries, Information Seeking and Retrieval, Intelligent User Interfaces, Web Accessibility, Digital Signal and Image Processing, Parallel Processing, Distributed Systems, Data Mining, Distance Learning.<\/p>\n<h4 class=\"widget-title\">Advanced Electronic Systems Laboratory<\/h4>\n<h5><a href=\"https:\/\/aeslab.iee.ihu.gr\/\">https:\/\/aeslab.iee.ihu.gr\/<\/a><\/h5>\n<p>Promote science in the advanced subjects of advanced electronic systems, as they are shaped by current scientific developments and market requirements that include embedded systems and electronic systems for metering, energy, control and communications. In the above disciplines research activities are related to the measurement, analysis, design, development and optimization of mathematical, algorithmic, experimental, empirical or other methods at the hardware or software level as well as the development, management and control of relevant international and national standards and specifications.<\/p>","protected":false},"excerpt":{"rendered":"<p>The Department has established and operates in accordance with Law 4485\/2017 (Government Gazette 114\/issue A\/04-08-2017) \u201cOrganization and operation of higher education, research arrangements and other provisions\u201d three Research Laboratories. 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