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Our 2023 Poster Contest took place virtually with judges viewing the resources available on this wiki.

Virtual Q and A meetings were held to give judges the opportunity to find out more about the students and their work. 26 posters were submitted in 2022 which is considerably more than in any previous year including 2021, when there were 18 entries, and this year is the largest yet with 36 posters submitted.

Before the Q and A sessions, judges had already read the abstracts, reviewed the posters and watched the video presentations provided by each student. They brought their questions and comments to the virtual sessions, which contributed to their final scoring decisions.

Poster entries were submitted from students representing 3 continents and the entire academic spectrum from high school through to PhD level. Content was extremely varied, covering areas such as machine learning (learn more about the HPCC Systems Machine Learning Library here), platform enhancements, research projects and use case scenarios.

Everyone had their slot and time with the judges Amila De Silva, Michael Gardner, Jeff Mao, and Mauricio Nunes de Oliveira, providing students with the opportunity to interact directly with the judges, answering their questions and providing additional insights into their achievements.

Group A - Q and A Meeting

Featuring Poster Presenters and Judges

Eshaan Mathur RVCE, Bengaluru, India	Analysis of Country-wide Healthcare Data and Selection of an Ideal Machine Learning Model for Prediction of GHSI
Prashant Ronad RVCE, Bengaluru, India	Leveraging HPCC Systems for Natural Disaster Management in Asia
S Dhanush RVCE, Bengaluru, India	Data-Driven IPL Team Selection: Leveraging T20 Statistics
Samhitha S RVCE, Bengaluru, India	Visualization and Determination of Air Quality
Shyamaa Karthik Saint Andrew's School	Processing the Tamil Wiktionary Pages into a NLP++ Dictionary
Skanda P R RVCE, Bengaluru, India	Analyzing and Visualizing Causes of Poverty in India

Group B - Q and A Meeting

Featuring Poster Presenters and Judges

Hiroki Sato Indiana University	Automation of HPCC Systems Cloud Native Deployment to AWS with Terraform
Jessie Mao Lambert High School	HPCC Systems Deployment with Various Helm Chart Configurations
Nivedha Sivakumar Georgia State University	Test Suite for a Roxie Cluster on Kubernetes
Noah Seligson University of Central Florida	Convert Automated Test Systems from Python2 to Python3
Ryan Rao American Heritage School	HPCC Systems Storage Support With Container Storage Interface (CSI)

Group C - Q and A Meeting

Featuring Poster Presenters and Judges

Boqiang Li Clemson University	Convert Generalized Neural Network bundle (GNN) to native Tensorflow 2.0
Johnny Huang University of Toronto	Improve Error Handling and Reporting for Automated Test Systems
Narayan Kandel Clemson University	Enhancing Performance of Distributed Neural Network with GNN Bundle
Rohhun Laiju RVCE, Bengaluru, India	Image Conversion Plugin for GNN Module on HPCC Systems
Sudershan K S RVCE, Bengaluru, India	Performance optimization of Learning Trees modules in the ECL repository

Group D - Q and A Meeting

Featuring Poster Presenters and Judges

Adarsh U RVCE, Bengaluru, India	Enhance the NLP English Dictionary
Carlos Caceres American Heritage School	Practical Application of Generative AI Technology
Fulvio Favilla Filho University of Sao Paulo, Brazil	Machine Learning Approach to Cardiovascular Disease (CVD) Prediction
Jayanth C RVCE, Bengaluru, India	Scalable Analysis of the English Dictionary files on HPCC Systems
K Dheemonth RVCE, Bengaluru, India	Sentiment Analysis in English
Kruthika Pinnada RVCE, Bengaluru, India	Resume Analyzer

Group E - Q and A Meeting

Featuring Poster Presenters and Judges

Logan Patterson

New College of Florida

Designing Test Algorithms for Causal Model Discovery Within the HPCC Systems Causality Framework

Sarah Nash

New College of Florida

Causal Discovery and Validation with Categorical Data