The availability of vegetative forage material is a crucial factor in determining the quality of habitat for waterfowl. During their migratory staging, waterfowl rely on consuming seeds and tubers of specific wetland plants to build their energy reserves. Phragmites australis, an invasive species, provides very little forage value, and is known to degrade wetland habitat […]

In this project, the results from Ultraviolet Near-Infrared Optical Northern Survey will be used to model dark matter mass distribution around galaxies in the galactic cluster. Observing weak gravitational lensing of background galaxies from the optical multi-band survey and determining its parameters will help us to simulate dark matter halos around galaxies, that cause lensing, […]

The research project aims to examine the attitudes of Ukrainians towards Russians, particularly about the concept of ‘good Russians’ during the ongoing full-scale war. The study will include the exploration of the socio-historical background of Russian-Ukrainian relations, as well as the analysis of the changes in attitudes before and after the Russian aggression in 2014. […]

Although brain resilience has long been thought to be important, only recently have methods been developed to measure it directly. In the proposed research, we will use one such method–known as the cortical challenge and recovery test (CCaRT)–to see if we can identify signs of concussion at the level of brain resilience. We will have […]

This study aims to analyze the dynamics of error propagation in the PIV-pressure analysis and suggests two approaches: I) a formal analysis and II) corresponding algorithms for optimal sensor placement that minimize the error propagation from the measured data to the computed pressure field. By analyzing the Poisson problem together with boundary conditions, the optimal […]

The project “Detecting Phishing Websites using Machine Learning Techniques” aims to develop a method that can accurately identify and block malicious websites. Machine Learning algorithms will be used to analyze various website features, such as URL, page content, rank and other indicators to determine if it is a phishing site or not. By identifying and […]

Many fluid flows are dominated by the dynamics of vortex formation and convection. Examples of practical importance include flows over aircraft wings/wind turbine blades and environmental flows. Knowledge of vortex parameters such as position, radius, circulation, and convective velocity are needed to understand and predict the influence of vortices on flow development. Although a vortex […]

The intern will be working on a research project aimed improving scalability and applicability of automated reasoning tool called SPACER by improving the way it deals with special data types. Overall, the goal of this project is to make SPACER a more effective and reliable tool for verifying program correctness.

Open-ended problem solving plays an important role in industrial innovation, product development, strategy formulation, and many other applications. The study will use experimental methods to investigate the behaviour of individuals while solving open-ended problems, and will entail the gathering and analysis of both qualitative and quantitative data. Individual problem-solving tasks will be given to participants […]

The project is dedicated to the explore how the effective interface for a small modular nuclear reactor should look considering human factors and current digital technology design trends. The research will review the significance and application of modern human-computer interaction techniques to ensure a better user experience and to achieve substantial safety and operational benefits […]

Modern society heavily relies upon synthetic polymers, mainly based on carbon-based backbones and thus linked to a fossil-based industry. Polymers with non-carbon elements in there main chain are rather uncommon. Only polysiloxanes, known as silicones and polyphosphazenes have industrial and societal relevance. This project aims to investigate whether novel one-dimensional P,N-based polymers can be accessed […]

The proposed project intends to generate a method for identifying weeds and develop site-specific weed control prescriptions for sugarcane cultivations in Costa Rica using Remote Sensing techniques. Remotely sensed data will be captured using multispectral camera and LiDAR sensors attached to Remotely Piloted Aircraft Systems (RPAS). Images will be processed using machine learning algorithms to […]