The technique of guaranteed estimation promises a revolutionary step to how industrial process managers build, handle and adapt the prediction mathematical models. These are used to monitor the equipment operating regimes, to train the operating personnel and are also exploited to steer the plants' behavior towards the most profitable or the most resource- efficient modes. Advantages of guaranteed estimation come from the fact that no unnecessary assumptions must be made regarding the quality and measurement-error distribution of the sensed data, which establishes an increased reliability of the obtained estimation results. The work on this project develops the essential parts of guaranteed estimation techniques for real-world exploitation. We focus on the estimation of parameters of the nonlinear dynamic models while combining the estimation with model validation principles and while creating a hybrid estimation technique that enjoys the advantages of both guaranteed estimation and conventional approaches. In order to drive the operation of the plant, here we focus on the plants of chemical industry, to an efficient working regime, the technology of optimal and robust control is required. Our project builds upon the developments of robust control and develops novel optimal robust control techniques that incorporate the information on guaranteed estimates into the actions, i.e. manipulations of the plants' degrees of freedom. As a result, a safe, reliable and resource-efficient operation is established. The theoretical developments of the project are implemented into a software package and released as an open-source project such that the collaboration with academia and industrial stakeholders is fostered. A demonstration on a pilot plant is also planned to showcase the benefits of developed techniques in the real-world environment. A sound dissemination plan of the project ensures that the project reaches its target audience.

Model predictive control (MPC) is widely used in process industries to control constrained systems with multiple input and outputs. Traditionally, the MPC is used in a two layer architecture where the upper layer gives the economic optimal operating point and the MPC is used in the lower layer tracks the optimal operating point. Recent studies shows that a significant improvement in the economic performance of the plant can be obtained if both the layers are combined together. One of the pressing issues preventing the process industries from adopting the aforementioned control scheme is the presence of plant-model mismatch. The work on this project uses ideas form the linear control theory to handle the structural plant-model mismatch in a robust NMPC framework, efficiently. We develop a model-error model (MEM) which uses plant measurements to improve the knowledge of the plant. We focus on developing a systematic way of choosing the MEM structure based on the data collected from an industrial production plant and use them for monitoring and control purposes. We develop an algorithm which works in parallel with the commercially available advanced process control solutions and makes them robust to plant model mismatch. Our project builds a computationally tractable scheme for model-based NMPC robust against the plant-model mismatch. As a result, a safe, reliable and resource-efficient operation is established. The theoretical developments of the project are implemented into a software package and released as an open-source project such that the collaboration with academia and industrial stakeholders is fostered. A demonstration on an industrial production plant and a laboratory pilot plant is also planned to showcase the benefits of the developed techniques in the real-world environment. A sound dissemination plan of the project ensures that the project reaches its target audience.

The ongoing project NAP focuses on sleep disorders and proposes a novel science-to-technology paradigm to assess the ability of next generation brain organoids to serve as a downscaled and personalised model of sleep, as well as to predict early sleep-related symptoms of Parkinsons Disease (PD). The integration of the widening partner STU provides the project with additional human data to the NAP Proof of Concept (i.e., the identification of the effects of sleep deprivation and detect sleep-related signs of D in a personalised perspective). Moreover, it brings to the further development of an innovative in-home sleep quality monitoring device, already available at STU as a prototype (the ePPG), to be integrated with SleepActa wearable actigraphic data already provided within NAP. The STU Laboratory of Medical and Applied Electronics is the main research laboratories in Slovakia dedicated to improving health care services by research in physiological monitoring, hardware processing, data evaluation and processing. NAP HOP-ON offers to the widening partners a new framework of collaboration with EU research institutions and EU SMEs covering a large spectrum of expertise (cellular neuroscience, bioengineering, biotechnology, micro-manufactured neural implants, sleep e-health) applied to sleep studies. This will increase the international visibility of the Laboratory. The NAP HOP-ON International Seminars and the International Mobility Programme is expected to contribute spreading the project approach, promote mutual enrichment among disciplines and support STU young researchers career development. On the medium long-term, more talented students and young researchers will be interested in developing a STU-based career, contributing to reversing the brain-drain at the country level. NAP HOP-ON also includes specific activities to strength STU staff know-how in EU R&I funding, increasing the partner competitiveness over international funding and a

Since there has been less activity regarding the development and implementation of open access education courses in the field of occupational health and safety (OHS) at university level containing the topics needed for education of future OHS engineers, it is of great importance to develop and modernize higher education courses in order to meet the challenges of the specific time we currently live in, when traditional teaching methods are being replaced by remote learning methods. In order to develop high quality multidisciplinary teaching materials sharing of experiences and resources at the university level is particularly important. Beside the numerous online trainings in the field of OHS there are insufficient number of high quality teaching materials aimed for bachelor and master OHS students, which contain the elements of curricula from different universities. Moreover, the most frequent topics which are available are addressed in training programmes for workers and specialists in different industries, but there is no evidence of existence of open access courses which contain basic principles of OHS presented at higher education institutions. Priority will be given to promotion of innovative practices in teaching and learning methods in order to improve the higher education system which is facing significant challenges due to the COVID-19 pandemic. The overall objective of Project DOHASS is developing digital capacities of higher education institutions in the field of OHS in order to provide high quality online and remote learning lessons and practical exercises. The DOHASS project aims to introduce innovative approaches to the OHS studies by improving and modernizing online lectures in the field of: Preventive measures, Risk assessment in the field of occupational safety , Designing of occupational safety management system, Physical and chemical parameters of the working environment, Occupational Medicine, Occupational safety, Analytical chemistry in occupational safety and health, Emergency Management, Environmental safety in emergency situations, Chemical Safety in Industry, Toxicology, Radiation Protection and Radioecology at universities in Serbia, Slovak Republic and Czech Republic. The Project will result in openly accessible educational resources, textbooks and online education platform, which will contain lessons, laboratory, field and computational exercises in pdf format, photographs, audio ppt and videos. Since the material will be prepared in different languages (Serbian, Slovak, Czech, and English), it will be possible to use them in other countries with similar study courses (Bosnia and Herzegovina, Slovenia, Croatia, Montenegro, EU countries). Multidisciplinary teams from partner universities (OHS engineers, work medicine teachers and experts, analytical chemists and data scientists in the field of machine learning and computational intelligence) will be formed in order to develop innovative methods and tools for remote teaching and learning of OHS higher education courses. Moreover, the Project is designed to develop and modernize courses, which could be used after the pandemic, providing high quality digital content and multilingual learning material needed for developing the competences of future OHS experts.

<< Objectives >>The aim of our project is to identify the implementation problems that arise as a result of the restoration and tourism activities of the cultural heritage items in rural areas, to create a common strategy by bringing together our students and local administrations who are policy makers, to develop more applicable, sustainable and accessible models and to create a strategy for restoration practices in rural tourism destinations.<< Implementation >>The aim of this project is to increase the professional competence needed by tourism and landscape architecture and try to develop new models and strategies. Activities: In this project, activities were designed in which my students could participate and define the restoration activities in rural areas and produce new strategies. These:*Group Works in consortium countries*International Focus Group Activity for strategy development*Dissemination activities.<< Results >>The first priority goal is for students and local governments to come together to examine the restoration works in the royal tourism areas and to identify the deficiencies in the studies and to create more applicable, sustainable and accessible new models. In addition, it will be an important step in the strategy to be created as a result of this project.In addition, European cultural programs, strategies, different application experiences and cultural transfer to students are among the expect.