As part of my PhD research, I am developing Computational Healthcare a Search & Aggregation Engine.
Computational Healthcare indexes and aggregates data from millions of healthcare visits. Using novel privacy preserving aggregation strategies it simplifies data analysis & dissemination. It is developed in collaboration with Radiology and Anesthesiology departments at Weill Cornell Medical College, Cornell University.
I am a co-founder of Temporal Health. Temporal Health aims to make information derived from large healthcare databases accessible to a broad audience.
I am currently developing a simple visual indexing and search system, using features derived from Google's inception model trained on the imagenet data. Along with an Approximate Nearest Neighbor query server. I am developing a swift app that computes index vector on smartphone and retrives results from the server. Images are efficiently (2$ per 400,000 images) indexed using AWS spot GPU instances.
Previously I built EraseImage.com an online tool for segmenting images. It lets users perform image segmentation and background removal, completely in client-side JS. It is implemented using Angular, FabricJS and superpixel algorithms.
I am interested in using a cheap ( Total cost < 300$ ) combination of an Android smartphone and a Sphero for monitoring and reconstruction tasks. Such devices are extremely useful for several custom tasks. E.g. Periodically taking pictures of a room for 3D reconstruction. Or programmable movable lights inside a photography studio.
Copyright Akshay Bhat, 2015. All rights reserved.