Core team:


Safwan Wshah

University of Vermont

Department of Computer Science, Assistant Professor

Wshah's research interests lie at the intersection of machine learning theory and its applications to real-world applications. His broader interests in deep learning, computer vision, data analytics reinforcement learning and image processing. Before joining the University of Vermont, Dr. Wshah worked for Xerox and PARC (Palo Alto Research Center), where he was involved in several projects creating machine learning algorithms for different applications in healthcare, transportation and education fields.


Most recent papers:


Methods and systems of creating a confidence map for fillable forms.

Reiner Eschbach, Phiiip Emmett, Safwan Wshah, Edward Chapman. US Patent, , , 2018.
[pdf] [journal page]

Methods and systems of applying a confidence map to a fillable form.

Reiner Eschbach, Safwan Wshah, Edward Chapman, Phiiip Emmett. US Patent, , 9965457, 2018.
[pdf] [journal page]

SYSTEM AND METHOD FOR EXPANDING AND TRAINING CONVOLUTIONAL NEURAL NETWORKS FOR LARGE SIZE INPUT IMAGES.

Safwan Wshah, Beilei Xu, Orhan Bulan, Jess Gentner, Peter Paul. US Patent, , , 2017.
[pdf] [journal page]

Method and system of identifying fillable fields of an electronic form.

Safwan Wshah, Martin Maltz, Dennis Venable, Saurabh Prabhat. US Patent, , , 2017.
[pdf] [journal page]

(show all)