3 Result(s)
AI-enabled detection of unidentified or unregulated boats from high resolution satellite imagery
The Laboratory for Human-Environmental Interactions Modeling and Analysis (HEIMA; https://heima.ua.edu/) is seeking a motivated undergraduate student to support an ongoing National Science Foundation-funded project on Disrupting Illicit Supply Networks. The undergraduate research assistant will support efforts to detect unidentified or unregulated boats (UUBs) from high resolution satellite imagery. This will contribute to a larger study about the routes that cocaine traffickers use to move shipments through Central America to the United States and European Union. Responsibilities: • Downloading satellite images from designated sources based on predefined criteria. • Processing downloaded images through an existing object-detection m...
Course Credit?
NoPaid Position?
Yes - $15.00/hourPreferred Majors
Business Analytics | Computer Engineering | Computer Science | Criminology & Criminal Justice | Data Science | Engineering | Geographic Information Systems | GeographyKeywords
technology | crime | artificial intelligence | machine learningFaculty
Nicholas MaglioccaDeep 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 JiangBattery 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 ...