Rukaiyah Husain

Research Assistant


Socioeconomic Effects of the Opioid Crisis in Northeast Florida

Determining relationships between the socioeconomic variables and opioids in Northeast Florida

Identifying statistical relationships between the opioid epidemic and socioeconomic variables such as unemployment, crime, overdose deaths, education and race in Northeast Florida using latent class analysis, time series analysis and clustering algorithms on the longitudinal data recently made available in the DEA’s ARCOS (Drug Enforcement Agency’s Automated Reports and Consolidated Ordering System) database.

In Search of Odd Perfect Numbers (OPNs)

Computational schemes and difficulties in the identification and existence of OPNs

Although many algorithmic approaches to finding odd perfect numbers (OPNs) have been attempted, this paper presents a novel open-access computational sandbox to search for odd perfect numbers for the purpose of making observations that could lead to new ways to search for OPN’s and their properties.

Florida Data Science for Social Good (FL-DSSG)

Project Lead

Work with FL-DSSG program directors to assist interns in solving problems related to data science and good social projects. Provide subject-matter expertise on project tasks and engagement with community partners including Center for Children's Rights – Analyzing Impacts of the School to Prison Pipeline Program; Episcopal Children’s Services – Identifying Children and Families with Low-incomes and Early Learning Needs; and Literacy Alliance of Northeast Florida – Mining Insights from the Adult Learners Educational Data; Barnabas Center – Analyzing Impacts of Health Services on Emergency Department Utilization; League of Women Voters of Florida – Finding Insights to Improve Voter Participation Details at and

Refusal trends of recommended therapies for Glioblastoma Multiforme

Identifing the trends of refusal of recommended front line Anti-GBM treatments and its impact on the overall survival rates

With any cancer diagnosis, patients may refuse all or parts of the recommended treatment. Using the NCDB national cancer database for patients with newly diagnosed GBM between 2004 and 2013, this study focuses on assessing the patterns of denying recommended treatments and its impact on the outcomes.

Detection of pediatric preictal events using spectral frequency analysis

Expansion of power spectral density (PSD) and event-related potential (ERP) analysis in conjunction with visualization techniques

Spectral frequency analysis and visualization techniques are used on pediatric EEG recordings to identify a method of detecting seizures thirty seconds before seizure onset by identifying significant preictal locations and their respective frequencies within the gamma band (30 through 100 Hz).