Multi-Modal Data Analytics

This research opportunity focuses on machine learning for multi-modal data analytics through the Army Research Laboratory Research Associateship Program (ARL-RAP). The student internship involves participation in research and development of machine learning algorithms for multi-modal image and signal processing to enhance surveillance capabilities. Researchers will contribute to areas including detection/localization, segmentation, robust representation, fusion, and classification. The position requires assistance with data collections, data processing, and algorithm research in both theory and application. The program is designed to significantly increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Participants work with ARL scientists and engineers who help shape and execute the Army's program for developing technologies to support future operational needs through research in diverse fields including applied mathematics, digital/optical signal processing, nanotechnology, material science, communication and networking, and computational and information sciences.