Overall Research Project Description The MLab research specializes in technical research about using synthetic media to train AI. Our research has explored various ways to use ‘deep-fakes’ of objects that are hard to photograph or more often, in cases where photos are not sufficient in number. We developed tools to generate the images, labeled and ready for training. This opens up a wide variety of opportunities to explore synthetic media, AI training, object, and anomaly detection.
Should you decide to apply, and ultimately participate, the lab hosts undergraduate alumni of the lab, graduate students and professors who can assist you with your chosen project. Interested students should understand that participating in the lab means you are a self-starter who works well in small groups of like-minded students.
Working knowledge of Python (or other language) programming language is preferred, but we do have projects intended to get newcomers up to speed. One of the primary functions of the lab is to encourage research related to the use of Artificial Intelligence agents, and supporting students who desire to publish their works. Since the beginning of 2020, we have produced 6 student-led research papers that have been accepted by international conferences.
Last year we focused our efforts on a Binaural Beat Box, which we proposed to use as a Palliative care tool. The Beat Box uses generated synthetic music, Art, and Animation for a tablet application. This summer we are focusing on whether AI apps are usable, and a study that compares results of synthetic media to authentic media.
In the fall, we will resume working on a synthetic media pipeline, computer vision, and the development of an air sea rescue platform.
We are interested in coders, CS, Engineering, Statistics, and 3D artists who can model different subjects.