Projects

The challenge in modern industry is to find the best ways for human-robot interaction in workplaces, enabling robots to realize optimal solutions by combining AI and human capabilities. The project's goal is to contribute to the automation of company production processes, focusing on the social and psychological aspects of human-robot collaboration to ensure that human workers in the industry feel safe and satisfied. Research directions include: - creating a collaborative robotics experimental lab - designing robotized workplaces - modelling of human-robot interaction, assessments and analysis of influencing factors and risks. Expected results are methodologies and validated human-robot interaction models, skills for their implementation, impact factors and risk assessments, a developed laboratory with hardware, software and expertise; providing user-centred design solutions services. All of this leads to safer human-robot interactions, increasing user trust in robotic systems.

Within the project, data from farms, transport, slaughterhouses, and laboratory analyses will be collected and integrated to evaluate how production conditions influence carcass lesions and pork quality. In parallel, a data-driven feedback system will be developed, enabling producers to benchmark their results and make more informed management decisions, while also providing a foundation for the further development of the Estonian pork quality scheme. The project's key value lies in its collaborative approach, bringing stakeholders together to establish a sector-wide quality framework and strengthen the market position of Estonian pork. The project is supported by expert advice from scientists from the Finnish Institute of Natural Resources (LUKE) (Liisa Keto et al.).

The present project aims to develop novel and enhance existing methods of explainable artificial intelligence for the analysis of human motor functions. Pilot studies have demonstrated promising results to support the diagnosis of neurodegenerative diseases. In addition, we plan to extend the area of application from medicine to cognitive development and cognitive fatigue analysis. The integration of the explainer component will provide medical professionals with the necessary transparency of the decisions made by AI. Application in the area of cognitive development to support the school education process. Cognitive fatigue is known to cause severe injuries and serious financial losses. In-depth understanding of this phenomenon and ability to recognise mental fatigue targets to make the work environment safer and reduce monetary and non-monetary losses in the process of work.

In traditional food systems, additives derived from petrochemicals and animal products are widely used. While these compounds may possess desired techno-functional properties, they come with environmental, ethical, health, and sustainability issues. The goal of this project is to develop alternative protein-based food additives, such as colorants and sweeteners, that meet the needs of the food industry while addressing the concerns. Rational design, structural biology, and AI methods are utilized for protein development. In collaboration with TFTAK, a precision fermentation platform is developed to produce proteins in microorganisms. Protein samples are tested in model foods. Successful prototypes are commercialized through partnerships with the local food industry and startup accelerators. The gathered experimental data is used to model relationships between protein structure and techno-functional properties, facilitating the design of novel food proteins in the future.

Wood or lignocellulosic biomass more generally, is a readily available renewable resource, offering sustainable solutions for our growing human population. The core wood polymers - cellulose, hemicellulose, and lignin - serve as fundamental components, extending beyond paper production to produce valuable wood sugars, textile fibers, thermoplastics, and fine chemicals. In our project, we are developing enzyme technologies utilizing extremophilic microbe-derived enzymes to break down and modify lignin, remove toxic phenolic compounds, convert cellulose into wood sugars, and advance enzyme-catalyzed cellulose technologies. Additionally, the project focuses on advancing technologies for converting kraft, hydrolysis (and organosolv) and synthetic lignins into porous materials, thermoplastics, and cutting-edge catalysts.

According to OECD, Estonia is one of the EU countries where obesity and diabetes are most prevalent. According to WHO, every fifth child in Estonia is overweight. Therefore, our task is to help people reduce their consumption of sugar, salt, and fat, which are associated with obesity, diabetes, and cardiovascular diseases. The Estonian food industry is already committed to food reformulation, transforming former sinners in to saints. For example, muffin, which has been a delightful dessert in the past, has now become a food with reduced sugar, extra fiber and with a Nutriscore value B. However, its health impact is noticeable only when the taste is equally enjoyable and consumers accept it. This reformulation project explores sweet-tasting and healthy peptides and oligosaccharides to replace added sugars, the synergy of flavor compounds and salt, and the effect of fats on flavour. We aim to have a positive impact on public health without compromising quality, safety and taste.

Sensing, capturing and separating enantiomers is important for environmental safety, agricultural chemistry, and drug design. The use of hemicucurbiturils is an effective strategy because of the combination of various monomers in a single-step templated mechanochemical synthesis. Due to the absence of bulk solvent the self-organizing efficiency is amplified and there is less waste - the process is green and sustainable. The current work will study the fundamentals of self-organization of hemicucurbiturils, the binding (capturing) of chiral molecules, and detecting chirality using supramolecular complexes. In the long term, the empirical observations will be combined with results from computational chemistry and cheminformatics to build models for predicting necessary monomers and reaction conditions to form macrocycles with desired properties. The outcomes of the project are expected to be highly useful for organizations and industries that monitor, use, or manufacture chiral compounds

NdFeB are the strongest and highest energy density permanent magnets used in both green energy production in wind generators and electric cars. NdFeB production technology is comparable to that of lithium battery: both are of key importance, require limited mineral resources to be mined, recycling is difficult. The recycling of NdFeB would reduce the EU's dependence on China being more economical and cheaper compared to mining. The project focuses on the development of recycling of sintered NdFeB. We focus on hydrogen decrepitation and HDDR technologies for NdFeB magnets, while also consider alternatives. The input of the technological process is NdFeB collected from circulation and the output is a NdFeB semi-product that can be used in a sintered, bonded, ALD covered or 3D printed NdFeB industrially scalable production pot. The largest NdFeB plant in the EU is under construction in Narva. The methods developed in the project would help improve existing processes for circular economy.

Reproduction is regulated by the endocrine system and its disturbances by endocrine disruptive chemicals (EDCs) may lead to infertility. As humans are constantly exposed to EDCs through the use of common household items and personal care products, it is important to test chemicals for their potential activity as endocrine disruptors affecting reproductive function. Project MERLON aims to study the effects of EDCs on sexual development and function in order to deliver new approach methodologies (NAMs) for EDC identification. While MERLON targets the vulnerable stages of development from fetal to puberty, MERLON2, with additional partner TalTech, will add one more sensitive window of susceptibility in female reproduction to the project: the adult preovulatory ovarian follicle, where the oocyte maturation takes place. In collaboration with TalTech, it was recently demonstrated that follicular somatic cells (FSCs) lose sensitivity to follicle stimulating hormone (FSH) in the presence of a mixture of 13 EDCs. FSH is crucial for both, the oocyte maturation and for the synthesis of steroid hormones by the FSCs. We have also demonstrated the intricate heterogeneity of somatic cells in the ovarian follicle. The roles that FSC subpopulations play in the adverse effects of EDCs is unknown and unaddressed by the initial MERLON project. MERLON2 will complement the aims of the consortium by developing NAMs based on single cell transcriptomics, automated image analysis and machine learning to understand the effect of EDCs on FSC subpopulations and their sensitivity to FSH. This will increase the research output for MERLON in the number of proposed NAMs and quantitative adverse outcome pathways. As a result of MERLON2 the range of stakeholders will enlarge, increasing the public awareness related to the harmful health effects of EDCs, and proposing new approaches to resolve the complicates issue of testing substances in everyday products for their adverse effects on human fertility.

The nervous system consists of multiple cell types with distinct physiological specializations and gene expression patterns. In tissue, these cells form a complex, intertwined network that is subject to constant interaction between different cell types. This complexity poses a challenge for researchers in both separating cell types for analysis as well as studying interactions and information transfer between cells. In this application, we propose a molecular neuroscience study addressing both aspects. First, we are developing proteomics methods to allow analysis of newly synthesized proteins on a cell type-specific basis. Second, we shall use novel genetic tools for cell type-specific stimulation and gene expression analysis in primary co-cultures of neurons and astroglial cells. We shall use this system to probe gene expression signatures in neuron-astrocyte communication and determine the transmitters that form the basis of this communication.