URAP

Reza Abbasi-Asl - Professor, Neuroscience

Status: Full- no new appr needed     Weekly Hours: 12 or more hours     Location: Off Campus

Deep neural networks achieve state-of-the-art performance in many tasks such as computer vision and natural language processing. Interpreting deep networks is essential for applying them to scientific applications such as healthcare. Two prominent approaches to interpret neural networks are saliency methods and network compression. However, both methods...

Reza Abbasi-Asl - Professor, Neuroscience

Status: Current Term Now Closed     Weekly Hours: 12 or more hours     Location: Off Campus

Characterizing the the neural function in the brain and its relationship with connectivity is an eminent question of visual sensory processing. With the recent increase in the amount of the data collected from brain, tools based on machine learning principles play an essential role in understanding the brain function. The...

Reza Abbasi-Asl - Professor, Neuroscience

Status: Current Term Now Closed     Weekly Hours: 12 or more hours     Location: Off Campus

Computational tools based on machine learning principles have shown promising results in analyzing medical images. Deep convolutional neural networks (CNNs) are one of the most successful tools in this domain. While most of the algorithms based on CNNs are supervised and with the increasing amount of un-labeled datasets, it...

Reza Abbasi-Asl - Professor, Neuroscience

Status: Current Term Now Closed     Weekly Hours: 12 or more hours     Location: Off Campus

There is an immense amount of unstructured and uncollated data in neuroscience and bioinformatics that could be used to guide knowledge discovery. Large language models (LLMs) have shown potential in extracting and analyzing unstructured natural language corpora and are promising for semi-automated processing of text into scientific knowledge such...