Browse Poster Wiki: 2022 Poster Award Winners, Awards Ceremony (Watch Recording from minute marker 1630), Posters by 2022 HPCC Systems Interns, Posters by Academic Partners, Poster Judges, 2022 Poster Contest Home Page, Poster Contest Previous Years
Our 2022 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.
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 our judges, Vannel Zeufack, Allan Wrobel, Dawn Riley and James McMullan, providing students with the opportunity to interact directly with the judges, answering their questions and providing additional insights into their achievements.
Sumanth Hegde RVCE, Bengaluru, India | Detection of Field Level Dependencies in an ECL Workflow |
Swaraj S Somanache RVCE, Bengaluru, India | Concrete Compressive Strength Prediction using HPCC Systems Platform |
Abhay Kashyap RVCE, Bengaluru, India | Astronomical Analysis on HPCC Systems |
Keerthan Kumar A RVCE, Bengaluru, India | Real-time Network Anomaly Detection System for Software Defined Networks using HPCC Systems |
Shravya Dasu RVCE, Bengaluru, India | Visualization and Determination of the Potability of Surface Water |
Arun Gaonkar North Carolina State University | Applying Causality Toolkit to Real-World Dataset |
Shivam Singhal University of Oulu, Finland | Improving ECLDocGenerator - HPCC Systems Bundles Docs Generator |
Ananya Gupta Clemson University | Nepali NLP Initiative |
Zheyu Shen Columbia University | Direct LiNGAM Conjecture: A Non-linear Causal Direction Detection Algorithm |
V A Sriram Praveen RVCE, Bengaluru, India | Identifying Fraudulent Bitcoin Users by Transaction Behavior |
Sarthak Sharan RVCE, Bengaluru, India | Using Anomaly Detection to Detect Fraudulent Behavior on the Bitcoin Network |
Manoj M RVCE, Bengaluru, India | Underwater Mine Detection |
Arya Adesh RVCE, Bengaluru, India | Implementation of Local Outlier Factor Algorithm for Anomaly Detection in HPCC Systems |
Bruno Moura Valle Costa University of Sao Paulo, Brazil | Estimating the Number of Clusters for the K-means Algorithm in HPCC Systems |
Nathalia Ribas Federal University of Santa Catarina, Brazil | HPCC Systems Log Monitoring in the Cloud |
Pedro Lima Rodrigues University of Sao Paulo, Brazil | Feelings Detection in Social Media Posts |
Matheus Ley Sen Chuang University of Sao Paulo, Brazil | Massive Data Analysis Applied to the Identification of Inconsistencies in Governmental Databases |
Renato Campos Afonso University of Sao Paulo, Brazil | Big Data Process with ETL: Mapping Brazilian Companies to Offer Life Insurance |
Rahul Anbalagan RVCE, Bengaluru, India | Implementation of Transformer Neural Network Model using HPCC Generalized Neural Network Bundle |
Akanksha A Pai RVCE, Bengaluru, India | Smart Face Recognition Based Attendance System |
Shrikar Swaroop RVCE, Bengaluru, India | Single Shot Multibox Detection |
Shreyasa Joshi RVCE, Bengaluru, India | HPCC Systems and Edge Detection |
Amy Ma Stoneman Douglas High School, Florida | Documentation: Data Patterns |
Noah Seligson University of Central Florida | Provide Test Code for Bundles with No Self Test |
Sarvesh Prabhu Lambert High School | Colorectal Cancer diagnosis: A comparative study between Neural Networks vs. Random Forest Deep learning for business use cases |
Jack Del Vecchio Miami University | Interfacing MongoDB into ECL |