His research focuses on developing innovative solutions for image processing and object recognition, with a particular emphasis on underwater environments.

Much of the interesting recent computational work in object recognition considers the recognition problem as a supervised learning problem. We start with a very simplified description (Fig. 1a).

Within the field of computer vision, the problem of biased facial recognition has been interpreted as a call to build more inclusive datasets and models.

That's a problem because object recognition, a form of AI, is quickly becoming a common element in smart policing, as Gizmodo notes.

A camera trap for the invisible—a solution to difficult pattern recognition problem in experimental particle physics by Duke University ...