European Responses to China’s Support for Russia in its War against Ukraine: A Study of the Czech Republic, Poland, and the Baltic States

This research project is situated within the broader scientific context of international relations, security studies, and European foreign policy. In recent years, the geopolitical landscape has been significantly shaped by China’s increasing global influence and its complex relationships with both Russia and the West, and it changed even more drastically when the Russia has started […]

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Decentralized Electric Microgrid Optimization by Reinforcement learning

The goal of this project is to improve the management of electric community microgrids. In contrast to traditional power grids with large centralized power plants that provide energy in a top down fashion to consumers, the introduction of renewable energy such as solar has given rise to bottom-up electric microgrids of prosumers (i.e., consumers that […]

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Technical and business intern(s) working within cross-functional teams to commercialize AI-powered solutions (1)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. AltaML’s AI Lab […]

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Integrating High-Resolution UAV Data and Machine Learning for Monitoring and Analyzing Soil Erosion in an Agricultural Landscapes

This project aims to improve the monitoring and management of soil erosion in agricultural landscapes using advanced technologies like combinations of optical and LiDAR data from remotely piloted aircraft with machine learning. By creating detailed, high-resolution models of soil erosion and deposition, the project will help quantify erosion processes more efficiently than traditional methods. The […]

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Addressing Basis Risk in Agricultural Index-Based Insurance

The objective of the proposed research is to design and implement an innovative IBI scheme capable of minimizing basis risk. Forage insurance will be used as an example to empirically examine the effective implementation of the IBI, through establishing an adequate relationship between the weather index and forage yield. Therefore, a second objective of the […]

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Design and Evaluation of a Lightweight Persistent Data Store for High-Frequent Concurrent Read and Write Accesses

This research project will systematically compare different design alternatives for a data store module that is tuned for concurrent accesses by multiple independent threads in a program. The particular access pattern is modelled after the specifics of automated securities trading programs implemented in Java. Based on a systematic evaluation, a prototype implementation will be developed […]

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L2M – Pliantech

Spinal disorders are the largest cause of years lived with disability globally. Artificial disc replacement (ADR) is a common surgical approach to address dis degeneration, but reoperation rates can remain as high as 20%. Mechanical analysis of on-market designs and discussions with spine surgeons suggest this is linked to the mechanical design of the implants […]

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L2M – High reliability free-space quantum communication in turbulent environments.

The objective of the proposal is to enable high-reliability free-space quantum communication in turbulence environments. Free-space optical and quantum communications face a critical hurdle of atmospheric turbulence induced distortions in propagating optical beams. This degrades signal purity in quantum key distribution (QKD) and long-distance optical transmission. Our vision for this project is to establish a […]

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L2M-Free Flow Counterflow Gradient Focusing

Our project focuses on improving protein purification using a novel continuous separation method; Free-Flow Counterflow Gradient Focusing (FF-CGF). Traditional purification methods are slow, inefficient, and result in high sample loss, making it difficult for industries like pharmaceuticals and biotech to recover valuable proteins. Our technology offers a faster, more efficient alternative without the need for […]

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Optimization of Carbonyl Produced Powder Metal Based Filaments for Low-Cost 3D Printing – Verification of Printability, Debinding Conditions and Application Potential.

The objective of this project is to create and improve metal-infused filaments for low-cost 3D printers by including recyclable elements. We combine recyclable and bio-based polymers with eco-friendly metal particles, including carbonyl nickel, to provide a durable and sustainable 3D printing material. During the first phase, we produce and test these metal/polymer filaments to ensure […]

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