I am currently a graduate student at the University of Wisconsin-Madison. I am working with Dr. Vikas Singh on machine learning and computer vision projects, some in collaboration with the Wisconsin Alzheimer's Disease Research Center to develop methods for analyzing preclinical datasets.
I completed my undergraduate degree in Computer Engineering at the University of Michigan-Ann Arbor in 2014, and my master's degree in Computer Science at UW-Madison in 2016.
For a take away, check out my Résumé/CV.
Some recent travel:
I presented my work on covariance trajectory localization at the CVPR 2018 Workshop on Differential Geometry in Computer Vision and Machine Learning (Diff-CVML) in Salt Lake City.
I presented some of my work below at Midwest Macine Learning Symposium (MMLS 2018) in Chicago, IL.
I presented a poster on Robust Image Deconvolution (see below) at the Midwest Computer Vision Workshop (MCVW 2018) in Ann Arbor, MI.
Research Projects and Publications
Orthogonalizing Tensor Trains Enables Scaling Recurrent Models to 3D Brain Image Sequences.
Ronak Mehta, Rudrasis Chakraborty, Vikas Singh.
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective.
Ronak Mehta, Hyunwoo Kim, Shulei Wang, Sterling Johnson, Ming Yuan, Vikas Singh.
To appear in the Quarterly of Applied Mathematics, 2018.
[Webpage] [Paper] [Video]
Resource Constrained Neural Network Architecture Search.
Yunyang Xiong, Ronak Mehta, Vikas Singh.
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families.
Seong Jae Hwang, Ronak Mehta, Hyunwoo Kim, Vikas Singh.
Robust Blind Deconvolution via Mirror Descent.
Sathya Ravi, Ronak Mehta, Vikas Singh.
For a list of courses I've taken during my time at Wisconsin, and selected courses from my time in Ann Arbor, click here.
For an (incomplete) list of course projects I've worked on, click here.
Medical Sciences Center, UW-Madison
1300 University Ave.
Madison, WI 53706
Email: [ronakrm] at [cs][wisc][edu]