Priyadarshini Krishna Shobha

1. Developed a C# tool to extract NMEA and AIS data from PCAP files 2. Contributed to radar tracking algorithm development using OpenCV for target detection and Kalman Filter for target tracking in C++ and C# 3. Worked on data association between AIS and radar data with different update rates using interpolation to realize perception system 4. Worked with network sockets and loopback adapters for replaying PCAP files. Used Wireshark to analyze the packets

Topic: Analysis of the scalability of artificial intelligence solutions. 1. Designed a novel Siamese neural network architecture to scale from one quality analysis task to another with minimum effort and time. 2. Collected the dataset using industrial cameras, preprocessed the image data, and created a pipeline to train the neural network.

1. Further developed a convolutional neural network classifier to detect the misplaced welding nuts. 2. Collected and preprocessed the point cloud data to develop an end-to-end system for adhesive integrity analysis using a segmentation network and classification network. 3. Validated the performance of the developed neural networks in the production system

Implemented an application to extract data from university ranking websites using APIFY Scraper to populate a database in MySQL.

Optimising the 3D printing process using APAS robots. 1. Developed a deockerized application to detect the build plate using OpenCV. 2. Implemented the Raspberry pi interface to communicate with the backend using MQTT. 3. Sensor selection and integration to implement interactions of robot with its environment.

1. Backend development of Alliance Property web application in Java. Worked on multiple feature enhancement projects and client database enhancement projects. 2. Automation of ServiceNow ticketing tool using JSON and REST API.