Graphics Processing Units (GPUs) are increasingly used to accelerate applications and to reduce their energy use. GPUs are particularly attractive for mobile platforms, where battery life is important. However, GPUs are hard to use, requiring developers to apply optimizations to their code to realize the performance and energy benefits of GPUs–a tedious and error prone […]

The fellowship mainly investigates an analysis of the state-of-the-art approaches, design and implementation of cutting-edge deep neural network models to be used on a mobile platform. It explored ways to optimize the deployment of these machine-learning models for prediction tasks on the mobile devices which requires energy efficiency and accuracy.

Rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, we aim to develop new applications of deep learning […]

As a result of recent advances in high-throughput technologies, rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, […]

This project is to perform systematic studies to better understand key recovery mechanisms of mixture solvent CSI process and provide fundamental parameters for field-scaled prediction. For mass transfer, a methodology of measuring diffusion coefficients for multiple components simultaneously dissolving into heavy oil systems under bulk volume and porous medium conditions will be established. For foamy […]

This research aims at primarily analysing the legal frameworks regulating biofertilizers and biopesticides (also known as ‘biologicals’) in India and Ukraine. After studying and analysing the legal frameworks, and barriers in registration procedures for R&D, trial, transfer, trade, transport and storage of new molecules and microbial strains of agro-biologicals, a draft of alternative regulations will […]

Unsustainable application of chemical fertilizers and pesticides has steadily declined food productivity the world over. Hence, agricultural practices need to evolve to sustainably meet the growing global demand for food without irreversibly damaging the world’s natural resources. Biofertilizers and biopesticides hold the potential to maintain agricultural productivity, while safeguarding agroecosystems and microclimates. While development/consumption of […]

Osmotic power or salinity gradient energy is one type of the renewable energies which is produced by fresh and salt water. This new environmental friendly energy based on the advantages such as carbon dioxide free and generating power continuously in all weather conditions seems to be a good option in which to invest. Therefore, investigation […]

Osmotic power or salinity gradient energy is one type of the renewable energies which is produced by fresh and salt water. This new environmental friendly energy based on the advantages such as carbon dioxide free and generating power continuously in all weather conditions seems to be a good option in which to invest. Therefore, investigation […]

Patients with posttraumatic stress disorder (PTSD) are characterized by decreased prefrontal cortex (PFC) regulation on hyperactive emotion generation regions, such as the amygdala. Real-time (rt)-fMRI neurofeedback allows for localized brain regions to be self-regulated through neuroimaging signal feedback. Recently within our lab, learning to decrease amygdala activation via neurofeedback was shown to normalize the neural […]

Financial markets today are monitored and controlled by artificial intelligent algorithms. Developing these artificial intelligent algorithms requires a large amount of testing against complex patterns and phenomena observed in stock market. The main objective of the proposed project is the development of a market simulator. This is highly challenging and yet promising direction that will […]

Patients with posttraumatic stress disorder (PTSD) are characterized by decreased prefrontal cortex (PFC) regulation on hyperactive emotion generation regions, such as the amygdala. Real-time (rt)-fMRI neurofeedback allows for localized brain regions to be self-regulated through neuroimaging signal feedback. Recently within our lab, learning to decrease amygdala activation via neurofeedback was shown to normalize the neural […]