3 Result(s)
Deep Learning on Geosocial Media as Volunteered Geographic Information
The position is about developing deep learning tools to analyze geosocial media data for various applications, such as earth science, disaster management, and transportation. Required skills: 1. Strong Python programming skills 2. Have taken the class on statistics and probability 3. Being Self-motivated 4. Good time management and be a team player Preferred skills: 1. Knowledge in deep learning and tensorflow 2. Knowledge in machine learning or data science...
Faculty
Zhe JiangUse of AI and Large Language Models in Media and Public Trust
In this project, you will assist on a series of exciting projects examining the use of LLMs in media production and its effect on public trust towards media and media professionals. Under guidance, you will have the chance to conduct literature review, develop surveys and experiments, and help analyze data if you have the right skills set. You will have the chance to meaningfully contribute to social science research and will have the chance to be listed as an author in peer-reviewed journal articles in leading outlets in fields such as communication, information science, and interdisciplinary social science, which will be a great testimony to your research ability should you choose to pursue a graduate program or any research-related jobs ...
Preferred Majors
Advertising & Public Relations | Communication & Info Sciences | Communication Studies | Computer Science | Data Science | Political Science | Psychology | Quantitative Research | Sociology | StatisticsKeywords
Communication | artificial intelligence | media | social mediaFaculty
Jack Lipei TangBattery State-Of-Health (SOH) Diagnosis, Management, and Customer Discovery
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 ...