Uncovering Inequities in Green Space (Green Space Data Challenge)

With the rapid growth of urbanization, green spaces in the form of parks, gardens, and other open areas are extremely important for improving the quality of life for those who live in urban areas. As polluted air and water and overcrowded cities become our everyday lives, the physical and mental health of urban communities has undoubtedly gained increasing attention in recent years. Not surprisingly, green spaces are coming to the rescue. Cancel changes Open spaces such as parks benefit communities by providing a cleaner environment to protect public health such as a reducing in the urban heat island effect and improving air quality. They can also have an impact on social health by contributing to increase community cohesion and wellbeing, and increased property values, among other positive environmental, social, and financial outcomes. As a result, the supply of green space and the ease with which it can be accessed are key concerns in urban planning and policy-making.

BrainSuite Demonstration

BrainSuite is a collection of open source software tools that enable largely automated processing of magnetic resonance images (MRI) of the human brain. The major functionality of these tools is to extract and parameterize the inner and outer surfaces of the cerebral cortex, to segment and label gray and white matter structures, and to analyze diffusion imaging data. BrainSuite also provides several tools for visualizing and interacting with the data.

Penn Artificial Intelligence Technology Collaboratory for Healthy Aging

I worked as a research assistant in this project. Through engagement and collaboration with stakeholders and academic/industry experts, I applied text mining to build a portal for AD research to create a central resource and knowledge base for technology identification and training.

Early Alzheimer’s Disease Prediction

This was my first time using Magnetic Resonance Imaging (MRI) data for both demented and nondemented adults to build classifiers that predicts whether a subject will be diagnosed to develop dementia. Two datasets are used: one deals with cross-sectional MRI data for adults aged between 18 to 96, and the other deals with longitudinal MRI data for older adults between 60 to 96.

Predicting Air Quality Index in India

This is my final project of the CIS 545 - Big Data Analysis in the Spring 2022 semester. We worked as a team to tackle this air pollution big data problem as air is what keeps humans alive. Monitoring it and understanding its quality is of immense importance to our well-being. At the end, we also won the Best Visualization outstanding project among the whole class.