In this project, we propose integrating well-known neuroimaging algorithms to model axonal integrity of the white matter over the course of a full season, in collegiate football players. Using these findings as a basis for further investigation, we intend to develop a novel imaging processing tool that will integrate information from different neuroimaging methods to […]

In the recent years, the advances of machine learning, and more precisely deep learning, have lead to incredible progress in areas such as computer vision, speech recognition and natural language processing. Training algorithms based on deep neural networks can take a huge amount of time and computing resources. The first generation of quantum computers currently […]

Parenting an adult child with autism spectrum disorder and an intellectual disability (ASD-ID) presents unique challenges, which often leads to parental distress, anxiety, depression, and uncertainty of their child’s future. To date however, there has not been an intimate, authentic account of this parental experience. Moreover, this strength-based approach will provide an important addition to […]

In today’s business context, companies need to release software quickly in order to remain competitive. This requires internal teams to work closely together from the outset. Unfortunately, security is typically considered only at the very end. This means if any issues are discovered by the security team, it requires extensive rework. Typical responses are to […]

The aim of this project is to develop a computer-based algorithm that will integrate a planning model with a scheduling model to improve operations management for analytical service facilities. An iterative decomposition algorithm that can provide optimal production scheduling sequences (in acceptable computational times) based on changes in the strategic planning decisions will be provided […]

Plastics are the prime contributor to the global litter crisis. Every second, a quarter tonne of non-degradable plastics enter the world’s oceans. Despite this, petroleum-based plastic production continues to increase, with more than 300 billion kilograms of virgin plastic produced annually. Our team is slightly altering the metabolism of a strain of bacteria to efficiently […]

Investors, regulators, and the general public consume a wealth of textual information every day. Recent advancements in artificial intelligence make machine-reading of textual information plausible. We tackle text mining of financial conference call transcripts—calls of significant corporate events that are widely followed by investors and institutional investors. Our conference calls data include over 200,000 calls […]

The Caribbean tourism sector is critically important to the Caribbean economy and highly sensitive to climate change and its impacts. Climate-sensitive industries are exploring how to make best use of outputs of climate models, weather forecasting tools and early warning systems as strategies to boost their viability as climate change intensifies. Tools such as these […]

Dental caries is a major health hazard in the general population worldwide. Fluoride-based formulations are conventionally used to resolve this problem but they present certain important disadvantages, which has been overlooked. Here we propose to develop and characterize a non-fluoride based dental varnish using natural product conjugated nanoparticles that holds the potential of inhibiting bacterial […]

Mild Traumatic Brain Injury (mTBI) is a common and devastating condition that severely affects millions of people around the world. Following an mTBI, also known as concussion, a medical professional performs standard neurological tests, however, these tests are very subjective, based on patient-reporting, and provide little to no insight on the severity of an mTBI. […]

Gentrification and the commodification of housing have shaped New York City for decades to the detriment of low income communities. In response, these communities have organized to create long-term, viable strategies for maintaining housing affordability, green space, and urban gardens through community control of land. My research will explore how communities can leverage local needs […]

By 2050, it is estimated that two-thirds of the global population will reside in cities. As cities grow and are required to house growing urban populations, however, they are simultaneously grappling with climate change and rising rates of natural disasters. My dissertation examines Amsterdam, Netherlands, and Dhaka, Bangladesh, two cities that despite their differences, are […]