HPCC Systems Technical Presentations 2021
Browse: Abstracts, Winners and runners up, Awards Ceremony (Watch Recording / View Slides), Posters by HPCC Systems Interns, Posters by Academic Partners, Poster Judges, Virtual Judging, Home
HPCC Systems collaborates with a number of academic institutions in the USA, Brazil, Europe and India. Our intern program, welcomes students on to the HPCC Systems platform team during the summer recess to work on HPCC Systems related projects. Our Academic Program (learn more here) supports research projects requiring data analytics and as a result, students working on these projects are also eligible to enter this contest. In fact, any student working on an HPCC Systems related project is welcome to enter this contest, regardless of whether they are an intern, academic partner contributor or any student independently working on a project that uses HPCC Systems.
Our Technical Poster Contest has been held every year at our Community Day event since 2016. Take a walk down memory lane and look at the variety and of the contributions that have been showcased at our poster contest over the years. The aim of this contest is to give students working on HPCC Systems related projects, an opportunity to present their achievements to a wide audience of HPCC Systems open source community members and LexisNexis Risk Solutions Group employees.
Our 2021 Poster Contest was held virtually and we thank students and judges for finding time in their busy schedules to meet for Q and A sessions which supports the judging process. Our judges always find it very difficult to choose winners from the submissions since all projects are completed to a very high standard by the dedicated students working on them. Yet winners must be chosen. Our 2021 Poster Contest Winners were announced during our 2021 HPCC Systems Community Day Summit.
In 2021, our Community Choice award will again be chosen by those who attend Community Day and vote for their favourite poster project. Our judges will choose winners in the following categories:
Best Poster - Data Analytics
Best Poster - Platform Enhancement
Best Poster - Use Case
Best Poster - Research - This award is new in 2021 and has been added to support the work done on research projects that may still be ongoing.
Find out more about our 2021 Judging Panel and the virtual judging process.
About the Students
18 posters were entered into our 2021 Poster Contest, which is the most submitted so far in any one year. Students presented from 3 continents:
Asia
North America
South America
The students ranged from high school right through to Masters level and showcased projects covering a wide variety of topics as shown below. Simply click on the poster title to view more details.
Students Presenting from Asia
Achinthya Sreedhar | ||
Atreya Bain | Improvements on HSQL: A SQL-like language for HPCC Systems Community Choice Award | |
Chirag Bapat | ||
Deeksha Shravani | Developing a Recommendation System for a Virtual Reality based Supermarket using Big Data Platforms | |
Mayank Agarwal | Independence Testing with RCoT : Causal Validation and Discovery for HPCC System Causal Toolkit | |
Shivani C H |
Students Presenting from North America
Amy Ma | ||
Carina Wang | Processing Student Images with Kubernetes on HPCC Systems Cloud Native Platform Best Poster - Data Analytics | |
Chris Connelly | Ingestion and Analysis of Collegiate Women's Basketball GPS Data in HPCC Systems and RealBI
| |
Jefferson Mao | Best Poster - Use Case
| |
Murtadha D. Hssayeni | ||
Nikita Jha | Apply Docker Image Build and Kubernetes Security Principles Best Poster - Platform Enhancement
| |
Roshan Bhandari | Use Azure Spot Instance with HPCC Systems for Cost Optimization |
Students Presenting from South America
André Fontanez Bravo | Big Data and Logistic Regression applied to Analysis of Loan Requests Best Poster - Research | |
Bruno Carneiro Camara | ||
Francisco Ciol Rodrigues Aveiro | ||
Guilherme Santos da Silva | ||
Luiz Fernando Cavalcante Silva |
All pages in this wiki are subject to our site usage guidelines.