Anirudh Som

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I am a PhD student in the ECEE department at Arizona State University (ASU). Here, I am part of the Geometric Media Lab and I am advised by Pavan Turaga.

I received my MS degree from ASU, during which I worked as a computer vision algorithm developer under Pavan Turaga. I've spent time as a graduate intern at Mayo Clinic and Lawrence Livermore National Laboratory.

My research interests lie in computer vision, computational topology, differential geometry, dynamical system analysis, machine learning and deep learning. My research centers around analyzing and modeling time-series data collected from different sensing devices, for the following applications - human activity recognition, movement quality assessment, Parkinson's disease severity assessment, electrocardiogram (ECG) signal analysis.


Perturbation Robust Representations of Topological Persistence Diagrams
Anirudh Som, Kowshik Thopalli, Karthikeyan N. Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan Turaga
European Conference on Computer Vision (ECCV), 2018
Paper | Supplementary | Poster | Code

Multiscale Evolution of Attractor-shape Descriptors for Assessing Parkinson's Disease Severity
Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Karthikeyan N. Ramamurthy, Pavan Turaga
Global Conference on Signal and Information Processing (GlobalSIP), 2017
Paper | Slides

Riemannian Geometric Approaches for Measuring Movement Quality
Anirudh Som, Rushil Anirudh, Qiao Wang, Pavan Turaga
Computer Vision and Pattern Recognition (CVPR) Workshops, 2016
Paper | Poster

Attractor-shape Descriptors for Balance Impairment Assessment in Parkinson's Disease
Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Pavan Turaga
IEEE Engineering in Medicine and Biology Society (EMBC), 2016
Paper | Slides

Geometric Approaches for Modeling Movement Quality: Applications in Motor Control and Therapy
Anirudh Som | Master of Science (MS) Thesis
ProQuest LLC, 2016
Paper | Slides
EEE 334 - Circuits 2 | Fall 2018