Interpretable and Fair ML for Health

Working on creating models for attention detection using EEG data

Design neural networks that interpretable by design.

Built models for fraud detection in rent payment transactions

Built models for temporal change detection in hyperspectral images

• Built infrastructure for efficient transport of RTSP based streams broadcasted by IP Cameras to browser• Enabled the ability to deploy streams to browsers and even native IOS and Android clients by using the WebRTC API• Configured an instance of Kurento media server for the low level media encoding translation and wrapper elements around the ICE framework• Deployed the app using a Node.js server for WebSocket based interaction (using socket.io) between the media server and client device