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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 4 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 |