Projects

Development of simulation-based computational models
Year: 2025 - 2026
The project will develop a computer simulation model that will enable the assessment of fish passage conditions through hydroelectric power plant turbines. The use of simulations will significantly reduce the need for field tests, allowing for more efficient use of time and money and a broader analysis of scenarios.
Cliniki Tech remote healthcare platform for private clinics in East Africa
Year: 2025 - 2026
A cloud-based digital health platform for private clinics in East Africa will be developed, focusing on optimizing workflows, monitoring chronic patients, and managing patient care. A distinctive feature of the platform is the combination of a mobile application and an SMS-based triage solution, allowing access for patients with limited digital capabilities. The product is being piloted in Kenya, where a shortage of doctors and a growing population create strong demand for efficient, labor-saving solutions. The solution is based on the logic of primary care digital models tested in Estonia, adapted to the local context.
Development of a Personal Student Assistant at Tallinn University of Technology
Year: 2024 - 2026
The goal of the project is to develop and integrate a personal student assistant based on large language models (e.g. GPT) into the learning environment of Tallinn University of Technology (TalTech). The assistant will be connected to the university's Moodle learning environment and will be able to provide fast and personalized feedback, helping students with course completion and solving assignments.
Protobios OÜ poolt arendustöös olevate ühendite toimemehhanismi analüüsi võimaldavate rakuuuringute väljatöötamine
Year: 2024 - 2026
LignoQuat Antibacterial Technologies
Year: 2025 - 2026
I-tools to Design and Enhance Access to justice
Year: 2024 - 2026
The IDEA Project focuses on digitalisation and predictive justice, which can be applied in labour law disputes, both in European and national contexts. We aim to develop a digitalised procedure and a platform to address harmonisation across digitalisation and predictive algorithms in access to justice, encompassing interaction with the forthcoming EU legislations on the Digitalisation of judicial operation and access to justice and the AI Act and to verify it together with six judicial authorities and numerous practitioners. This method has an innovative character – combining legal analysis with broad text mining techniques – as it will unravel the concept of predictivity to assess the (in)compatibility with the rule of law in civil law systems.
Protecting the Interests of Small States in a Changing International Order: Estonia’s Options Following the Transformation of the Current World Order
Year: 2026 - 2026
Space Welding Machine – Feasibility Study and Concept Design
Year: 2025 - 2026
The objective of the project is to conduct a feasibility study on welding in space in cooperation with the European Space Agency and the company Moliri OÜ. This includes the analysis of target materials and joints, a study of human user requirements and control methods, a literature review and comparative analysis of welding processes suitable for the space environment, and the preparation of a preliminary plan for testing, qualification, and validation of welding in space.
Advancing the Education of Engineers Through AI for Cyber-Sustainable and Energy-Efficient Union
Year: 2025 - 2026
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.
Modeling, testing and grid analysis of a Purtse energy storage system
Year: 2025 - 2026
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.
New generation of bioactive laser textured Ti/HAp implants
Year: 2023 - 2026
Visible effects of society’s ageing is the reported increase in the necessity of orthopaedic implants boosting to a huge economical market. For a successful integration of any implant, bone regeneration, osseointegration at the interface bone and implant as well as mitigating inflammatory events are crucial aspects. The project aims at extending the biocompatibility and tribo-mechanical performance associated with a lifetime of surgical implants based on Titanium (Ti). The hypothesis states combining Ti alloy with hydroxyapatite (HAp), and medically active components (drug delivery function) in order to obtain excellent biomaterial supporting bone growth and eliminating the problem of loosening of the implant by its integration with bone. The project goes beyond the state-of-the-art by laser surface treatment, opening the underlying porosity improving the cell transport and cell growth. The result implant biomaterial, will reduce the number of removal surgeries in the future.
Development of a base system for monitoring the status data of the electricity distribution networks to support flexibility services, to increase the use of renewable energy resources and improve reliability of the grid
Year: 2025 - 2026
A platform for monitoring energy usage and operational state properties of distribution networks is elaborated, enabling users of distribution networks to access relevant and better time-resolution data to support green energy usage, energy efficiency and the flexibility technologies. The platform being developed will provide extensive support for decision-making and calculation algorithms, enabling efficient availability and management of local area operational data.
Gap analysis of Kenyan ICT Higher Education and labour market needs with comparative reflections on Nigeria and Armenia
Year: 2025 - 2026
Conducting a comparative study on ICT higher education offered by universities, the competencies of emerging ICT professionals, and the needs of the labor market, using Kenya, Nigeria, and Armenia as case studies. The study will be carried out within the framework of the international talent partnership project “Digital Explorer 2.”
Optical method for water quality monitoring
Year: 2026 - 2026
Reliable monitoring of drinking water quality is of critical importance from a public health perspective, as it enables the prevention of diseases associated with microbiological and chemical contamination and contributes to the mitigation of related health risks. Continuous surveillance of drinking water quality is particularly essential in order to detect deterioration in water quality at the earliest possible stage and to enable timely intervention before contaminated water reaches consumers. In addition, drinking water quality is a key determinant in a range of industrial processes, including the food and beverage, pharmaceutical, and chemical industries, where variations in water composition may significantly affect process performance as well as product quality. The objective of this project is to conduct feasibility studies and experimental investigations that will provide a basis for assessing compliance with drinking water quality requirements through the application of optical spectral analysis and signal processing algorithms. The outcomes of the feasibility study will enable the evaluation of the suitability of optical and real-time measurement methods for drinking water quality monitoring and will establish a foundation for their further development and implementation in environmental, public health, and industrial technological applications