Previous Scholarships

We propose a new, practical way to make electrical stimulation consistent and personal. A soft ring of small electrodes is placed around the ulcer. In a few seconds the system measures the tissue’s electrical “fingerprint” (impedance) through different electrode pairs. A computer model then uses those measurements to calculate exactly which electrodes to activate, with what intensity and timing, to create the desired field across the wound bed. The goal is simple: shorten time to healing, reduce bed days, and enable earlier, safer sitting for wheelchair users.

The aim of the project is to develop and verify a new generation of road markings that address a growing road safety and infrastructure problem. By developing a plastic-free, long-lasting and sensor-compatible solution, the project will contribute to improved road safety, reduced maintenance requirements and an infrastructure that is compatible with the advanced driver assistance systems and autonomous vehicles of the future.

The purpose of this project is to develop an intelligent bio-inspired odor detection system able to identify and classify distinct chemical fingerprints as forensic evidence. By combining gas sensor technologies, AI/ML, chemistry, biology, and forensic expertise, the project will validate odorprints as a new tool for aiding investigations, search-and-rescue, and disaster victim identification.

The purpose is to advance a newly discovered antimicrobial metabolite from biodiversity-based research toward practical bioinnovation by integrating microbial genomics, AI-assisted bioinformatics, and experimental validation. By understanding its biosynthetic pathways and improving microbial production, the project aims to establish a scalable platform for next-generation antimicrobial solutions with potential applications in sustainable biotechnology and health-related materials.

This project aims to model femoral strength from ages 7–18 in all 496 POP (Pediatric Osteoporosis, a unique cohort with yearly follow-up of children from Malmö region) participants using finite element simulations. It will assess how physical activity shapes strength by comparing high and lowactivity groups. The work will yield the first detailed trajectories of mechanical bone adaptation in youth, showing how early-life loading builds long-term bone strength.

The objective of the project is to further develop the BioAcoustic Index Tool as a cost-effective, easy-to-deploy tool that can be used to track the status of ecosystems in Skåne. This can, for example, help to monitor populations of the endangered European Green Toad, track movement patterns of migratory birds, or assess levels of biodiversity in Skånes beech forests. Reliable, real-time data will help us respond better and this project aims to make collecting that data easier.

The global AI infrastructure is becoming dependent on limited computing technologies (such as GPUs and TPUs) that are manufactured in only a few countries. We suggest an alternative computing approach which, in the long term, might provide technological diversification. By placing our work at the frontier of physics-inspired computing, we envision this project as an early step toward building expertise, a patent portfolio, and launching a DeepTech Optical AI company in Sweden.

We want to complement existing products in micro mobility with a vehicle adapted for those groups in society who due to age, illness or injury are not able to use a bicycle, electric scooter or other vehicles that require balance. Our solution also complements existing assistive vehicles by combining walking with electrical drive, which provides increased walking capacity, independence, health and at the same time reduces the number of car journeys.

To protect the next generations and our nature, we need to replace fossil-based products with new eco-friendly ones as fast as possible. Lubricants and coolants are one of these materials. The global eco-friendly lubricants market size will reach over 4.5 $ billion by 2027 (<3% of the total market). We challenge ourselves to formulate a new competitive biodegradable lubricant based on local plants with low production cost but great potential.

Breeding new crop varieties need screening for high yielding phenotypic traits under field conditions for thousands of genotypes at many locations. These screenings are time consuming, laborious, expensive, lack precision and consistency. Existing phenotyping techniques are expensive and lack precision because of the inability to take measurements inside the crop canopy. The proposed innovative technique will use robotic, spectral sensors, and artificial intelligence to solve these problems.

The purpose is to offer academic researchers in various subjects (in Sweden and internationally) training in how logic programming can be used to create more accurate theories, to draw more accurate conclusions and to generate new knowledge. In the long run, this is important because scientific theories are used to help people, improve societies and improve the natural environment. The idea is for researchers to be able to buy the training package at a reasonable price.

I want to help with my experience with climate conscious design to reduce the suffering of vulnerable population due to heat stress by offering an eco-cooling system that is healthy, user friendly, budget friendly and climate friendly for Swedish climate and Swedish market. Children will be unable to focus on studying or adults to be productive and mortality rate will increase among seniors and people with special needs who stay indoor majority of the time.

The project proposes a new conceptual framework for representing individual reactive and reflective behaviours in computer software. This meets the type of problems that arise when using ANN, where these networks contribute to reactive decisions, but lack support for deviating reflective decisions. The proposed conceptual framework fills the gap between these two aspects and contributes to new solutions with usefulness in academic problem areas, as well as industrial.

The purpose of the project is to study reactor design as well as rheological and warming conditions to streamline and optimize resource utilization in the processing of textile waste with an inorganic ionic liquid. This must be done with a kneading reactor that is capable of processing materials with very high viscosity under a wide range of process conditions. In this way, we can contribute to better utilization of a currently very underutilized and abundant waste, as well as a more sustainable society.

I want to develop an instrument for precise, fast, and easy-to-use time-resolved determination of particle densities with single cell resolution. I envision that this tool can be employed in basic biology and in the medical field to study cellular processes which in many cases affect cell density. Further, accurate information about the density at single cell level will become an important tool to me and others in my research environment where we work extensively on acoustic cell separation

Twice a year millions of birds perform spectacular migrations often moving from one continent to another and back. How birds select in which direction to fly during migration is still largely unknown. Traditional methods to study the orientation in birds are still mostly based on manual methods. The purpose of this project is to surpass the limitations of old manual methods by leveraging new digital technology and to foster new discoveries pushing forward our understanding of how animals migrate

Dapibuset aims to disrupt European dependency on soya imports for animal feedstock and replace it with a sustainable protein that is locally produced at the farm with an investment for the farmer that is comparable to a household investing on solar panels. Our ambition is to leverage on fungi and fermentation technology to create a soybean meal alternative that is directly produced at the farm by the farmer.

Pre-cut ready-to-eat (raw) leafy greens are a prized product but have caused major outbreaks of stomach illnesses. Such outbreaks cause suffering in the affected individual and have a major negative impact on society (healthcare, growers, food operators/trade). We suggest a blue light treatment stage during the processing stage to kill serious food pathogens and extend product shelf life. The technology can be integrated into existing processes in vegetable washers.

To develop polymer binders in assays that fulfill stringent precision medicine requirements in terms of robustness, reproducibility, scalability, affinity, multiplexing capability, and solvent compatibility. Using a special group of polymers called molecularly imprinted polymers (MIPs), we foresee this kind of imprinting approach to be broadly applicable paving the way for robust, low-cost multiplex assays of phosphorylated and methylated proteins compatible with clinical proteomics platforms.

The project aims to replace the current blood sampling technique used in hospitals, especially neonatal care, where blood loss poses a higher health risk. The proposed solution is a compact, handheld device designed for placement inside an infant incubator. The device will safely and continuously draw blood, generate a sufficient amount of plasma for diagnostic testing, and return the blood cells to the infant, minimizing blood loss while ensuring patient safety.