Anirudh Bindiganavale Harish
I’m a 1st year PhD student in the Department of Electrical and Computer Engineering at Rice University. My interest span the areas of medical imaging and digital health. Additional topics I find interesting are implicit representations and self-supervised learning, specially ones with a focus towards health.
I graduated from UCLA with a M.S degree in 2023, where I was a part of the Visual Machines Group, advised by Prof. Achuta Kadambi. Prior to coming to UCLA, I was a Research Intern with the EdgeML team at Microsoft Research India, advised by Harsha Vardhan Simhadri and Prateek Jain. I worked on audio processing algorithms for resource constrained devices.
I also received a B.Tech degree from NITK Surathkal in 2020. During the same time, I completed my Undergraduate Thesis on Structured Light Profilometry and 3-D Registration under the supervision of Prof. Chandra Sekhar Seelamantula at the Indian Institute of Science (IISc), Bangalore.
Research Interests
I am interested in developing jointly-optimized novel hardware-software stacks to better model physical phenomena and efficiently leverage this information for downstream perception tasks. Currently, I am working on implementing the same for health-care technologies such as vital sign sensing.In the past, as a part of my internships and undergraduate thesis, I have had the opportunity to work on a diverse set of problems ranging from depth estimation from Profilometry and 3-D reconstruction to keyword recognition, optimization and implementation of neural networks for low-resource devices and multimodal sentiment analysis.
