Projects

The Engineering Academy is a project initiated by the Ministry of Education and Research and funded by the European Social Fund, with the goal of improving the quality of engineering education and reducing the labor shortage in technical fields. The project is led by the Education and Youth Board and is joined by five higher education institutions. The Engineering Academy includes 22 engineering-related study programs, of which ten have been selected as priority focus programs for development. The project has three focus areas: • Increasing the number of applicants • Improving the quality of education and Increasing alignment with labor market needs • Reducing dropout rates The Technical University has set a goal to increase admissions in the field of engineering by 15% each year. To improve the quality of education, the action plan includes a significant expansion of project-based and problem-based learning, curriculum development, quality enhancement, and infrastructure upgrades. Additionally, lecturers’ training and the recruitment of teaching assistants are planned. To reduce dropout rates, individual support for students will be increased, both during the first year and when completing their final theses. First-year students will also be offered additional mathematics courses. The goal is to significantly reduce dropout rates and increase the number of graduates.

The project aims to advance Electric Propulsion Drive System (EPDS) Digital Twin (DT) technology for Software Defined Electric Vehicles (SDEVs), with a focus on achieving DT adaptive and intelligent levels. It addresses the need for efficient testing and evaluation of electric propulsion systems in line with EU clean energy transition goals. Leveraging the rapid development of DT technology, the project seeks to contribute to SDV technology through enhanced modeling, data gathering, IoT integration, and system optimization. Key challenges include lifecycle management, data processing, and real-time communication between physical and virtual systems. The project encompasses advanced modeling, data gathering, IoT, and communication infrastructure, system integration, optimization, and technology demonstration.

The CROSS project aims to strengthen the European Research Area by developing innovative tools to mainstream the new Charters´ principles, fostering organisational change and career interoperability. Key outputs include a Self-Assessment Competence Tool, a comprehensive Roadmap for transversal skills training, a Mentoring Handbook, a Roadmap for career counseling, an Intersectoral Collaboration Handbook, and an HRS4R Repository. These form a comprehensive set of career management services, which will be piloted and implemented across four intersectoral networks. The development of these resources will follow a co-creative process, engaging stakeholders across Europe, facilitated through the creation of our ResearchComp Community of Practice. This approach ensures their adaptability to diverse European ecosystems. A key component of CROSS is the creation of a platform designed to support institutions in obtaining the HRS4R award. This platform can also serve as a shared resource for all projects funded under this call, ensuring their continued use and expansion beyond the project’s lifecycle. By promoting organisational change, CROSS will benefit research-performing organisations and researchers at all career stages, significantly improving career prospects and delivering broader societal impact.

This project aims at enhancing expert workforce and digitalization in the field of fault diagnosis, condition- based maintenance of wind turbines and related components in the partner institutions by bringing innovation in higher education teaching and learning methods in wind energy and applied artificial intelligence for maintenance decisions, increasing its relevance for the labour market and the society as a whole. The project will help partners in Vietnam and Thailand to produce in-house human resources in the field of condition-based maintenance of wind energy, making both the countries independent of external consultants. The main objective of the project is to implement real problem-based teaching and learning methods in the curriculum of higher education institutions (HEIs) of the partner countries. The expertise and know- how of the EU partner universities and their long- term teaching and research in this field would make this project objective achievable. Moreover, this project will build the capacity to produce graduates with independent, global insight, interdisciplinary expertise, competence in wind energy, and intercultural expertise. The project will also help the EU partners to renew their education in renewable energy and build a sustainable flow of students in both directions.

The project will develop a smart, adaptive electric drive that increases the energy efficiency and reliability of electric vehicles. The innovative solution combines artificial intelligence-based control with advanced sensor technology, allowing the drive to adapt in real-time to changes in traffic and road conditions. The project will produce a laboratory prototype, a user-friendly software solution for data processing, and comprehensive documentation that will simplify the implementation of the system.

Advancing education of engineers through AI for cyber-sustainable and energy-efficient union involves a collaborative ENERGYCOM network of Baltic, Scandinavic and Nordic institutions, including Kaunas University of Technology, Vilnius Gediminas Technical University, Riga Technical University, Tallinn University of Technology, University of Tartu, University of Vaasa and UiT The Arctic University of Norway. This network aims to address engineering education, focusing on cyber-sustainability and energy efficiency by integrating advanced AI-powered teaching and learning methods. Within this project, ENERGYCOM introduces AI-powered assistants into the learning ecosystem, preparing engineers to tackle global challenges in sustainability and cybersecurity while adhering to ethical principles. Key activities include workshops, express mobility programs, and academic exchanges covering fields such as like mechatronics, power systems, robotics, cybersecurity, artificial intelligence, and human-centric information systems. By integrating AI-driven tools into education, the initiative aims to prepare students and educators to think critically, solve complex problems, and develop sustainable and energy-efficient solutions. The network builds on the EU's strategic initiatives, such as the Digital Education Action Plan, Coordinated Plan on Artificial Intelligence and Cybersecurity Strategy, to strengthen digital competencies and promote sustainability.

The subject of the contract is the design and testing of the common control system of the Purtse hybrid park, modeling of the electrical installation, preparation of required reports, and participation in grid compliance tests of the electrical installation, measurement, and preparation of necessary reports.

The purpose of this project is to address the problems related to expert workforce in the field of diagnosis, monitoring, and maintenance of the power systems and related components in the partner countries by bringing innovation in higher education teaching and learning methods in order to fill the expertise gap and enhance its relevance for the labour market and the society as a whole. The project will help Nepal and Bhutan to produce in-house human resources in the field of condition monitoring of power equipment making both the countries independent of external consultants. The main objective of the project is to implement real problem based teaching and learning methods in the curriculum of HEIs of the partner countries. This is possible thanks to the expertise and know how of the EU partner Universities and their long term teaching in this field. The project will also help the EU partners to renew their education in this field and build a sustainable flow of students in both directions

The purpose of the work was to test and experiment with the Emtel EN-7.1k-48-1C-x-x-x-PIB_1V0-GEN1 energy storage device. During the testing, the full cycle of charging and discharging the storage device was measured and documented. In addition, the self-discharge of the storage device within 24 h was evaluated.

The objective of the EEV5040 Industrial Automation and Drives activity is to introduce students to the importance of industrial automation and electric drives and the latest trends in these fields (including IoT). As a result of the development activities, students will acquire in-depth knowledge of electric drive management, model-based design methodology and IoT applications in industrial automation in the future. They are able to create, adapt and analyse electric motor control systems and solve real problems in this field. These results influence the quality of industry-specific ICT teaching, providing students with the practical skills and knowledge essential to today's industrial automation. Within the framework of the development project, the subject EEM0040 Machine vision is also amended, where the traditional machine vision curriculum is added to it by adding the hyperspectral technology component. The aim of the development activity is to combine concepts of machine vision with hyperspectral data processing. Within the subject, students will develop practical skills in the use of hyperspectral cameras, from camera setup to processing of various hyperspectral images. They acquire knowledge of the specifics of hyperspectral data, such as the wavelength spectrum and its relationship to the properties of materials. In addition, they learn the methods of machine vision, which allow to identify different objects and characteristics from hyperspectral images.

Emerging education in the fields of electrical engineering, informatics engineering, ICT and cybersecurity is crucial for addressing the challenges of the Green Deal, initiated by the European Commission. The development of new technologies and systems for transitioning to a green industry requires the preparation of the next generation of professionals and leaders with the knowledge, skills, and values needed to address the complex challenges of sustainable development. The aim of this project is to bring sustainability-focused insights into the study programs of the partner institutions for the sharing of experience, knowledge, best teaching-oriented technology-driven education practices, and achievements in electrical engineering and automation, mechatronics, adaptronics, information and communication technologies, informatics engineering, and cybersecurity that correspond to the needs of the green industry. Within this project, the growth of competencies aimed at meeting the demands of the industry in the Baltic and Nordic regions is expected.

This project is a side project of the superior research project that has been supported by the Estonian Research Council under grant PSG453, "Digital twin for propulsion drive of an autonomous electric vehicle". It is conducted by the TalTech Mechatronics and Autonomous Systems Research Group. So far, the vehicle's drive but not the wheels' properties have been considered for the development of the digital twin. The task of this sub-project is the development of a test bench for wheels with the associated simulation. The influence of the different properties of wheels on the entire vehicle should be simulated as realistically as possible. Additionally, this project includes knowledge exchange and laboratory visits both in Germany and Estonia. The aim is to popularize knowledge among young people, introducing digital twins to aspiring engineers.