Shreya Sinha

My research was based on working with ML/DL concepts to solve the problem of Indoor Localisation. It was specifically targeted towards the usage of Deep Learning to solve the WiFi Localisation. It was concluded with the development of a framework which automates the overall Convolutional Neural Network (CNN) architecture designing process to predict the location of a user in an indoor environment using WiFi Fingerprinting. The automated designing process is first of its kind and a paper is published on IEEE

Worked with Bluetooth Low Energy device Atmel BLTC1000 to enable audio transmission over BLE technology. As part of the project, both BLE Central and BLE Peripheral devices were designed. An android application was developed from scratch to support the smartphone's ability as a BLE Central device. The technology used was Android Studio for app development and Embedded C for firmware programming.

As an Embedded systems student, I took up several courses of my interest such as, but not limited to, Computer vision, Internet of Things and Embedded Computer Architecture. I was exposed to several programming languages such as Python, C, VLSI as well as tools such as Matlab and Intel Quartus Prime