David Anastasiu with the Computer Science and Engineering Department has received a $598,259 award
The research objective of this proposal is to develop real-time models for anomaly anticipation, i.e., early detection of an anomaly with enough foreknowledge to prevent its occurrence. The proposed methods will be applied to the problem of pedestrian accident prediction in a smart city environment.
Jun 11, 2025