Harsha Nandeeshappa Krishnarajanagar

- Research on suitable algorithms for a particular task. - Implement and Integrate the algorithm with the product. - Develop multithreaded C++ computer vision applications - Applications are mainly Crowd monitoring in a busy environment, Vehicle detection etc.

- Develop embedded computer vision product on RaspberryPi and TK1 platform. - Automating various processes in an industry using Deep learning. - Training and testing deep learning models to solve face detection, recognition, object detection and classification problems. - Collecting and preparing datasets to be used in the products. - Have worked extensively on OpenCV, Dlib, Tensorflow in Python. Dlib and OpenCV on C++. - Develop tools to annotate, segregate raw field data.

Topic - Inference in High dimensional data Application of a variant of LASSO on high-throuput gene expression data to find the underlying relations between the genes in a setting where number of observations are less than the number of variables.

Applying Machine learning to solve engine combustion related problems. - Prediction of acceration and velocity using Markov chains. These predictions are then used to vary parameters like spark angle, fuel-air mixture ratio. - Sensitivity analysis for uncertain inputs using Gaussian Processes. - Applying the multi-arm bandit and krigging to automobile problem to optimise the number of measurements in a system.

Wrote matlab programs to solve these problems. 1) Automating few manual tasks which are time consuming and error prone by writing new algorithms to solve - - Cosmic particle detection in the rayleigh image of a flame burning various gases. - Dust particle detection in the raman image of a flame burning various gases. - Particle counting and centre of mass calculation. - Subpixel Image registering > Registering images using SIFT and then doing sup-pixel registration using DFT.

Design and development of software for various industrial and home automation products.

Computer Vision, Machine Learning, Image Processing, Digital Signal Processing, Microprocessors, Communication Network.

Image Processing, Microprocessors, Digital Communications, Computer Communication Networks.