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Our 2021 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. 19 posters were submitted in 2021 and there was a lot of great content to review. Before the Q and A sessions, judges had already reviewed the abstracts and posters and watched the video presentations provided by each student. They brought their questions and comments to the virtual session, which contributed to their 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), cloud projects supporting our new cloud native platform, research projects including a couple showcasing work focusing on COVID-19 and other projects focusing on robotics, sports science and a social media toxicity detection capability. Everyone had their slot and time with our judges, Robert Kennedy, Jessica Skaggs, Kevin Wilmoth and Greg Panagiotatos.

These session gave students the opportunity to interact directly with the judges, answering their questions and providing additional insights into their achievements.

Group 1 - Q and A Meeting

Featuring Poster Presenters:

Chirag Bapat RVCE, Bengaluru, India	Comparative study of HPCC Systems and Hadoop
Shivani C H RVCE, Bengaluru, India	COVID-19 Cases and Vaccination Data Tracker in India
Deeksha Shravani RVCE, Bengaluru, India	Developing a Recommendation System for a Virtual Reality based Supermarket using Big Data Platforms
Nikita Jha Northview High School GA, USA	Apply Docker Image Build and Kubernetes Security Principles
Amy Ma Marjory Stoneman Douglas High School, FL, USA	Ingress Configuration

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Group 2 - Q and A Meeting

Featuring Poster Presenters:

Francisco Ciol Rodrigues Aveiro Insper, Sao Paulo, Brazil	HPCC Systems Ingress Configuration with AWS ALB
Guilherme Santos da Silva Universidade Tecnológica Federal do Paraná, Brazil	HPCC Systems File Usage Monitor
André Fontanez Bravo University of Sao Paulo, Brazil	Big Data and Logistic Regression applied to Analysis of Loan Requests
Bruno Carneiro Camara University of Sao Paulo, Brazil	Preventing Fraud by Registration Inconsistencies
Luiz Fernando Cavalcante Silva University of Sao Paulo, Brazil	Massive data analysis in public management: A proposal to identify outliers in the São Paulo city government's real estate registry

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Group 3 - Q and A Meeting

Featuring Poster Presenters:

Achinthya Sreedhar RVCE, Bengaluru, India	Improving conditional probability calculations using kernel methods in Reproducing Kernel Hilbert Space (RKHS) as a part of the Causality Project
Atreya Bain RVCE, Bengaluru, India	Improvements on HSQL: A SQL-like language for HPCC Systems
Mayank Agarwal RVCE, Bengaluru, India	Independence Testing with RCoT : Causal Validation and Discovery for HPCC System Causal Toolkit
Carina Wang American Heritage School, FL, USA	Processing Student Image Data with Kubernetes and HPCC Systems GNN on Azure

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Group 4 - Q and A Meeting

Featuring Poster Presenters:

Jefferson Mao Lambert High School, BA, USA	Toxicity Detection
Chris Connelly North Carolina State University	Ingestion and Analysis of Collegiate Women's Baskteball GPS Data in HPCC Systems and RealBI
Roshan Bhandari Clemson University	Use Azure Spot Instance with HPCC Systems for Cost Optimization
Murtadha D. Hssayeni Florida Atlantic University	The Forecast of COVID-19 Spread Risk at The County Level

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