Manoj prem Siddaiah Mahadevaiah

Image to Image style transfer from simulated data to real world data using GAN’s. Domain adaptation on unsupervised deep learning-based depth and visual odometry to overcome the lack of real-world training data. Evaluation of the trained network on real world data.

Training, Inference, and validation of unsupervised depth estimation network for monocular cameras. Setting up the docker environment for local development and enhancement of network. Point cloud rendering for surround view systems (360-degree view). Stability analysis of predicted point clouds.

ROS based multi-master turtle-bot interactive environment using 2D LIDAR. Automated mapping using SLAM algorithms and frontier Exploration through AMCL. Automated navigation based on the detected object using sensor fusion of Lidar and ToF Camera Motion based follow logic using random forest on the slave bots.

Designed exercises for Docker, Kubernetes, AWS Greengrass and Edge computing. Tutored the students on the above topics for the Lab.

Automation of Campaigns using Java. Development of webapps and Validation using JavaScript. Development and design of campaigns.

Trained in Advanced Java, SQL. Developed a Web application using Java and J2EE. Development and design of campaigns.