Project Grant 2239870

Award Date 7/15/23
Completion Date 6/30/28
Dollars Obligated $548K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Storrs, CT 06269, USA
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This Project Grant award from the National Science Foundation Division of Information and Intelligent Systems under CFDA 47.070 Computer and Information Science and Engineering provides funding of $548,346 from July 15, 2023 to June 30, 2028 to the University of Connecticut.

The key products and services to be delivered under this award are:

  • Development of deep learning frameworks trained on highly variable biological image data, including non-model organisms collected from the wild and imaged under controlled conditions, to enable accurate model prediction despite variation in the data
  • Implementation of an application programming interface (API) allowing users to upload their own images for high-throughput image processing and further contribution to training data sets
  • A graduate-level seminar course module that teaches students to build deep learning neural networks to identify bat species from acoustic call data, integrating data acquisition, processing, and model generation

This award aims to advance the use of deep learning and computer vision methods to automate the analysis of complex biological and histological imaging data, while also incorporating an educational component focused on building students' data informatics skills.

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