Faculty and Undergraduate Student Research Database

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 ...

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, ...

Job Description: Undergraduate Research Assistant Position Overview We are seeking a dedicated and detail-oriented undergraduate research assistant with experiences in data collection and literature review. The successful candidate will join our research team and contribute to a research project regarding “Asian Americans and Health Care Services in Alabama.” This is a dynamic and hands-on role that offers the opportunity to gain practical experience in research and opportunity to write academic manuscripts. The successful candidate will work closely with the research team to ensure high-quality data collection and maintain project timelines. Required Qualifications • Undergraduate student in a relevant field such as social sc...

The primary goal of this research is to conceptualize, design, fabricate, and deploy a robotic arm driven by the principles of tensegrity structures, providing a unique approach to robotic movement, flexibility, and adaptability. Tensegrity, a portmanteau of "tension" and "integrity", refers to structural systems that derive their stability from a balance between tension and compression components. In recent years, there has been a growing interest in applying the principles of tensegrity to the realm of robotics, primarily due to its potential advantages such as lightweight structures, increased flexibility, and adaptive resilience. Scope: Literature Review: Investigation of existing research related to tensegrity robotics, its prin...

The Mapping Personal Finance Education project will involve data collection of school-level financial education course offering standards in US high schools for the 2025-2026 academic year. The data collection effort is intended to encourage further research documenting the implementation and effects of personal finance education. Financial education course offering standards will be collected from online course catalogs and matched to publicly available data on school characteristics. The project outcomes include constructing a dataset for the use of researchers, developing documentation explaining how to use the data and detailing the specifics of the dataset, and producing a summary of results of the data collection for dissemination, in...

We are seeking a dedicated and detail-oriented undergraduate and graduate research assistant with experiences in quantitative and qualitative research methods. The successful candidate will contribute to a research project regarding “Asian Americans and Health Care Services in Alabama.” This is a dynamic and hands-on role that offers the opportunity to gain practical experience in mixed method research approach in academic setting. The successful candidate will work closely with the research team in involving data collection, analysis, and report/manuscript writing. Required Qualifications Major in a relevant field such as social sciences, social work, psychology, health sciences, or a related discipline. • Strong proficiency in...

The position will involve assisting with data collection in The Exercise Physiology Laboratory located in Wade Hall. Measures will include heart rate, blood pressure, body composition, blood and saliva collection, fitness and performance testing, and recovery monitoring. Position will also be responsible for assisting preparation and cleaning protocols before, during, and after each study visit. Preferred Student Major(s): Any major is welcome, however those interested in entering a health-related field will likely get the most out of this experience. Prior laboratory experience is desirable but not required. Students will be encouraged to develop a weekly data collection schedule that is consistent for the semester. Students can attend as ...

Headed by Prof. Camille Leon Angelo (Religious Studies), the Late Antiquity Modeling Project (LAMP) is an international, interdisciplinary research collective that uses computational methods, such as 3D modeling, simulations, and machine learning, to reconstruct the embodied experiences of ancient buildings and landscapes. In so doing, the project crafts more accurate and embodied histories of religious communities across geographic and temporal contexts. Of particular interest to LAMP is how these embodied reconstructions might be leveraged to rewrite the history of the first centuries of Christianity. You can read about LAMP’s work on the earliest Christian Building here: https://hyperallergic.com/new-research-questions-the-existenc...