International research and development
LOOP (Landing on Phobos, Development of a Numerical Model of Contact between the Landing and Phobos Surface)
Project implementation period: 6.02.2018 – 19.12.2019
Total project value: 191 929 EUR
Project value of FCERM: 99 425 EUR
Contract implemented in cooperation with the Space Research Centre of the Polish Academy of Sciences, funded by the European Space Agency (ESA).The role of the Department of Civil Engineering and Resource Management is to develop a numerical model of the Phobos surface on the basis of experimental laboratory tests and numerical modelling. The series of scheduled experiments to be performed at the Faculty of Civil Engineering and Resource Management is aimed at understanding the effects of microgravity on the mechanical properties of rocks and investigating the response of the Phobos surface to the foot of the lander. The experiments will be reproduced numerically and calibrated based on laboratory results. The result of the numerical modelling, carried out at the Department of Civil Engineering and Resource Management, will be the development of a numerical model of the “Phobos soil” (regolith). This model will be used by ESA in the planned Phobos landing mission to collect soil samples.
MIREU – IMPLEMENTED UNDER HORIZON 2020
Project title: MIREU: Mining and Metallurgy Regions of EU
Project implementation period: 1.12.2017 – 30.11.2020
Total project value: 2 999 725,00 EUR
AGH Project value: 99 375,00 EUR
Leader: Geologian tutkimuskeskus (GTK), Finlandia
Team leader at the AGH University of Science and Technology: dr hab. inż. Anna Ostręga, prof. AGH
The MIREU Mining and Metallurgical Regions of the EU project aims to establish a network of mining and metallurgical regions in Europe to ensure a sustainable supply of minerals to the EU. The network will help regions to exchange knowledge and experience in the face of the challenges of consolidating and sustaining the mining industry. MIREU will facilitate exchanges between all stakeholders in the regions, namely regulatory, political and administrative authorities, development agencies, mining companies, NGOs as well as the general public. The project will develop a common knowledge base, taking into account the region’s specific geographical and economic characteristics, cultural, social and linguistic diversity and their historical development. The network will also draw on the experience of other regions of the world. The knowledge base will help to understand what favours and hinders the development of the mining and metals industries. A key aspect of the MIREU project is the ‘social licence to operate’ (SLO). Guidelines and recommendations for actions to be taken to foster the sustainable development of the extractive industries are the subject of collaboration between selected regions of the European Union forming the core for a wider network, even beyond the project implementation phase.The project is being carried out with 30 partners from the EU, as well as Chile.
PACMEL (Process-Aware Analytics Support Based On Conceptual Models For Event Logs)
Project period: 29.03.2019-28.03.2021
Total project value: 458 405 EUR
Project value at AGH: 147 285 EUR
Implementation within a consortium consisting of: AGH (leader), Universidad de Autonoma Madrid, Free University of Bozen-Bolzano.The main objective of the PACMEL project is the development of conceptual models enabling wider use of data from sensors and machine sensors for the analysis and re-engineering of business processes. The basis for such activities are event logs containing e.g. process phases (activities), which will enable the modelling of business processes at a higher level of generality, which is particularly important in the aspect of Industry 4.0. In such modelling, process mining techniques, a very dynamically developing discipline of business analysis, are currently applied.In the project, an important role will be played by mechanisms of semantic interpretation of low-level data, their translation into event logs and then linking them with a high-level process model. The developed methods will allow discovering knowledge from data stored in the company’s IT systems and using it to improve processes.The project received funding in the international competition dedicated to information and communication technologies CHIST-ERA Call 2017, under one of the main themes – “Big data and process modelling for smart industry”.The AGH University of Science and Technology (AGH) is represented by two research teams: from the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering under the leadership of Prof. Grzegorz Jacek Nalepa and from the Faculty of Civil Engineering and Resource Management under the leadership of Prof. Edyta Brzychcza, PhD.