1991 Soviet Coup Attempt – Part 1

The proposed research project aims to analyze the causes and consequences of the Soviet Coup attempt, including the political and economic factors that led to the coup, the role of the Soviet military and the KGB, and the impact of the coup on the collapse of the Soviet Union. The expected outcomes of the research […]

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1991 Soviet Coup Attempt – Part 2

The intern will investigate the 1991 Soviet coup attempt, a critical event in history when some powerful Soviet leaders tried to take control from then-President Mikhail Gorbachev. They will study why it happened, who was involved, and what the consequences were for the Soviet Union and the world. By analyzing historical documents, interviews, and other […]

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Assessing Global Adoption of the Central Banking Digital Currency

Central Banking Digital Currency (CBDC) is a digitalized version of cash. It seeks to preserve all the properties and characteristics of the monetary unit, the most famous of which are: a store of value, a medium of exchange, and a unit of account. Using machine learning techniques, the student will answer questions about how quickly […]

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Increasing Grid Resilience using Game-theoretic Demand Side Management

Demand Side Management is a scheme that manages production, consumption and storage of energy of an aggregation of households in a neighborhood. The automated algorithms communicate between households to ensure that grid constraints are respected and households use energy optimally to maximize the use of green energy and save money. A promising tool for these […]

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The effects of various dairy products on the gut microbiota

Probiotic bacteria may be the reason why dairy products are good for you. Some dairy foods may change how the gut microbiota is made up, which can help with weight control and metabolic health. But it’s not clear how dairy products could fix the bad effects of a high-fat, low-carbohydrate diet on lipid and glucose […]

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Exploring an interactive multisensory physical movements model during and beyond COVID-19: a case study of children with special needs

The COVID-19 pandemic has forced children to quickly adapt to home-based or virtual learning; however, a number of researchers have identified challenges and difficulties with applying and using technology. More importantly, there has been a significant rise in the rates of mental illness occurring as a result of COVID-19 and children are now experiencing increased […]

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A putative chloroplast Ustilago maydis effector causes morphological changes in Arabidopsis thaliana

Plants have several ways of defending themselves from plant pathogens including physical structures such as thick cuticles and defense hormones such as salicylic acid. The latter induces a cascade of plant defense responses that can ultimately lead to resistance. Similarly, to successfully invade their host, plant pathogens secrete a cocktail of proteins called effectors that […]

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Using analytic hierarchy processes to resolve multi-criteria decision making

Many real life decision consider a multitude of criteria, one such example is in healthcare where the patient’s condition, available resources, chance of recovery, cost etc all need to be consider when administrating care. An analytic hierarchy process makes the multi-criteria decisions by first converting the problem into a set of mathematical constraints by pair-wise […]

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A Study on the Effectiveness of Computer Vision Models for Addressing Environmental Problems Using UAVs and USVs

The research project, guided by Professor Stephen Smith, focuses on addressing environmental challenges related to water pollution and debris detection in the water areas, with a specific emphasis on garbage and waste detection on the water surface. The project entails a systematic literature review and analysis of various computer vision models to detect and classify […]

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Two-step personalized federated learning algorithm in reality

Machine learning attempts to model high-level abstractions in data using multiple processing layers with complex structures or non-linear transformations. Federated learning is a distributed machine learning approach that allows multiple parties to collaborate on training while preserving user data privacy. However, the data from each party is typically non-independent and identically distributed (Non-IID), which can […]

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