Short biography

I come from the city Hyderabad, located in the southern part of India. I did my bachelor’s in Electronics and Communication Engineering and master’s in Information and Communication Technology with Telecommunications as major. After graduating, I worked as a Co-Researcher at National Electronics and Computer Technology Center (NECTEC), Thailand and acquired three years of professional experience in the research industry. At NECTEC, my work was focused on the fields of Cyber Physical Systems (CPS) and Industrial Automation, where my responsibilities include to test, configure, program PLCs and industrial gateways for automation tasks and to develop an edge-computing device that can collect, process, store, and visualize the sensor data, at the edge of the network. Apart from these, I was also involved in the project OpenCellular, sponsored by Facebook, which aims to provide cellular services ranging from 2G to LTE to the remote areas. Currently, I am working with Robert Bosch, Germany as a European Union (EU) Researcher, under the EU program 5GSmartFact and enrolled my PhD studies at the Department of Signal Theory and Communications in Universitat Politecnica de Catalunya (UPC), Spain. My research interests are focused on 5G Networks, Indoor Localization, and Cyber Physical Systems.

Short description of project objectives

The main objective of the project is to analyze and evaluate 5G-based radio positioning techniques in typical industrial propagation environments. This work also includes optimizing the network topology for 5g-based positioning in industrial settings. As a next step, relevant context information needs to be identified, which can help improve positioning accuracy, e.g., standard routes of AGVs, position of other objects, etc. Based thereon, suitable approaches to make use of this additional information are designed and implemented. Complementarily, methods for sensor fusion that consider additional data obtained, e.g., from mems sensors are integrated. Then, the performance of the developed algorithms is evaluated in live production environments and the algorithms are iteratively optimized.