Deep Learning 4 Dummies 1
Talk, University of Michigan, Lab of Jeff, Ann Arbor, Michigan
A presentation on the basics of deep learning from the linear algebra perspective. Press image below for full PDF. 
Talks and presentations
ALPCAH for Union of Subspaces (ALPCAHUS)
Talk, University of Michigan, Lab of Jeff, Ann Arbor, Michigan
A presentation on a novel subspace clustering method known as ALPCAHUS that is useful for Union of Subspaces (UoS) problems when the dataset itself is heteroscedastic (noisy). Press image below for full PDF. 
Heteroscedastic PCA (ALPCAH)
Talk, University of Michigan, Lab of Jeff, Ann Arbor, Michigan
A presentation on a novel subspace basis approximation method known as ALPCAH that is useful for various tasks like Dynamic MRI reconstruction, lesion detection, and more. Specifically, useful over PCA when the data is noisy (heteroscedastic). Image below illustrates the problems with heteroscedastic data and the regular PCA algorithm. Press image below for full PDF. 
Sparse Subspace Clustering (SSC)
Talk, University of Michigan, Lab of Jeff, Ann Arbor, Michigan
A presentation on a subspace clustering method known as SSC that is useful for Union of Subspaces (UoS) problems. Press image below for full PDF. 
Wheelchair Dynamometer
Talk, University of Texas, Arlington, Texas
A poster session at the UTASixty event regarding my captstone project during undergrad. Fitness is an important aspect in today’s society as a rapidly growing industry. Many people exercise to live a healthier lifestyle but also for sport performance. Several machines have been invented to exercise the body in different ways and help stay fit although there are very few machines specifically meant for wheelchair users. The wheelchair dynamometer is designed for wheelchair users to exercise, like an able-bodied individual, when needed as well as track performance parameters important in their field of sport. With a resistance setting, the dynamometer can accommodate a wide range of users at different fitness levels that can see workout/performance parameters through interaction with the included display. 
Image Segmentation of Pelvic Floor Features & Slings/Meshes
Talk, Tufts University, Medford, Massachusetts
A poster session given at Tufts University for the Conference on Modern Challenges in Imaging. Researched machine learning methods of identification and segmentation of meshes & slings, along with common pelvic floor features, in MR images for radiologist assistance in 3D visualization-guided surgery planning. Press image below for more details. 