Faculty and Undergraduate Student Research Database

Elective-Independent Study Research Opportunity If you are interested in experiencing the research process first hand and building your research resume this Fall 2024 and Spring 2025 semester and Summer Semester 2025. My research areas that we will be working on: Evidence Based Pain Management Interventions, Minimum commitment is 3 semesters. We will be working on the following. 4 hours per week (flexible hours-self-directed) 1-4 hours weekly scheduled meeting via zoom (M-F 8 AM-5 PM) -Assist with grant writing -Literature Reviews & systematic reviews-you will be coding and cleaning data -Writing and submitting manuscripts for publication. -Submitting to a presentation to a national conference...

We are seeking an undergraduate student to assist with filtering river water samples on a monthly basis, DNA extractions, data analyses, and general laboratory duties. This project will continue for 3 years so a freshman or sophomore student would be preferred....

Sexual violence is a pervasive problem for young people and our understanding of factors that increase the risk for sexual violence to occur or impede our efforts to prevent sexual violence is not well-understood. Within our lab, projects focus on three main areas: 1) understanding how alcohol use impacts people's ability to communicate about the sex they do or do not want, 2) how alcohol use impacts people's ability to intervene when they witness risky sexual experiences, and 3) how alcohol use increases the risk for sexual violence to occur. Across these studies, we also examine how these factors may look similar and different among cisgender women and men, and sexual and gender minority persons. If these topics interest you, students...

As a rising star, perovskite-based photovoltaics have been demonstrated to be the most promising solar technology for low-cost mass production through high-speed printing. The certified champion power-conversion efficiency (PCE) of perovskite solar cells (PVSCs) has been boosted to 25.7%, which is on par with the best performance of dominating silicon solar cells. However, PVSCs still must overcome a few obstacles before becoming economically competitive in the photovoltaic market. The primary challenges include instability causing reduction in lifetimes and lengthy annealing times limiting the mass production. In this project, undergraduate students research fellow will work with graduate students and postdoctoral research fellows to explo...

Sleep is essential to overall health and wellbeing, yet not everyone gets an equal opportunity to sleep. Mothers, especially those who identify as ethnic or racial minorities, have particular difficulty obtaining enough, good quality sleep on a regular basis due to multi-level stressors they may experience in their daily lives. In this study, we will conduct focus group discussions to learn more about the obstacles Latina mothers face when trying to get a good night's sleep. As a research assistant, you will have to opportunity to hear first-hand Latina mothers' experiences when you co-facilitate these focus group discussions. You will also learn how to conduct structured psychosocial surveys on the phone and in person with these women. ...

You will be working to do develop an app to help those who have lost a loved one cope. The app will be coded for apple phones and android devices....

Catalysis is used to produce most chemicals worldwide. Thus, optimization of catalysts is relevant for both economic and environmental reasons. The ever-increasing computational power has led to the rise of computational research in catalysis that has been one of the main developments of the previous decades in the field. Computations have helped understanding chemical bonding, assign spectroscopic features, and explore reaction mechanisms among others. Regarding this latter, identifying rate-determining steps and analyzing critical chemical interactions have become standard tools to understand catalytic reactions and design more active, selective, and/or stable catalysts. As such, the Szilvasi group is interested in using computational met...

Participate in one or more of the following: (1) NSF I-Corps and Customer Discovery Activities, (2) Data collection and analysis for Battery State-Of-Health (SOH) Diagnosis and State-Of-Charge Estimation, (3) Design and Fabrication of electronic circuits for battery related measurements, (4) Artificial Intelligence (AI) or Machine Learning (ML) algorithms development for Battery Management Systems, and (5) Matlab Modeling or Programing for Battery Management Systems. The project is co-advised by Dr. Jaber Abu Qahouq (ECE, College of Engineering) and Dr. Rob Morgan (The Culverhouse College of Business). Additional information details are available upon request by contacting Dr. Jaber Abu Qahouq at jaberq@eng.ua.edu or Dr. Rob Morgan at ...

literature review, Data management and secondary data analysis...

Designing new environmentally friendly and cheap materials for practical applications is one of the main challenges of our century. This process is however very slow because synthesizing and testing new materials take time and have considerable cost. Computational methods provide an alternative method to screen materials faster and circumvent the costly and slow experimental trial-and-error approach. In this research area, machine learning-based methods have emerged as flexible tools recently to predict the properties of hitherto unknown materials based on previously known information. The Szilvasi group is working on developing databases and machine learning-based workflows to design new materials in the area of catalysis, energy storage, ...