The project proposal application period for 2019 summer internships is now open. Please see our list of Available Projects. Contact the project mentor for more information and to discuss your ideas. You may suggest a project idea of your own but it must leverage HPCC Systems in some way. Contact us for support from an HPCC Systems mentor with experience in your chosen project area.
Find out more about the HPCC Systems Summer Intern Program including how to apply and read this blog introducing the students and their projects.
10 students joined our intern program in 2019. Our students presented about their projects at our tech talk webcasts during the year and some were able to enter our 2019 Poster Contest held at our HPCC Systems Community Day Summit held in Atlanta, October 2019.
Meet the Class of 2019
| Name | Project Title | Description | Mentor(s) | Resources |
|---|---|---|---|---|
Huafu Hu Masters of Science | Analysing telematics data to support the connected cars industry | Analyzing Telematics Data using the processing power of HPCC Systems to find a solution that provides the Connected Car industry with an optimized infrastructure. | Lili Xu Dr Meng Han (KSU) | Tech Talk Presentation, November 2019 Poster |
Muiredach O'Riain BSc in Music and Computing | Machine Learning and the Forensic Applications of Audio Classification: An exploration of the forensic applications of sound classification using Artificial Neural Networks | Use HPCC Systems to help build a reliable classification model that is able to accurately classify an input sound file to its location. | Bob Foreman | Poster |
Christopher Connelly Data Scientist | Cleaning and analysis of collegiate soccer GPS data in HPCC Systems | Collect GPS data with the help of the NCSU men's and women's teams which will be processed and analysed using HPCC Systems, for example, typical movement patterns for certain drills or differences between positions, distances for typical efforts at different speeds and distance recorded in GPS data for a specific effort against a known distance. | Raja Sundarrajan | Tech Talk Presentation, November 2019 Poster Community Day presentation |
Farah Alshanik PhD Computer Science | Domain based common words list using high dimensional representation of words | Use a text vectors bundle (CBOW) with HPCC Systems to find the common words for any datasets. | Kevin Wilmoth Dr Amy Apon (Clemson University) | Tech Talk Presentation, September 2019 Poster Community Day presentation |
Yash Jain Bachelor of Engineering (Computer Engineering) University of Mumbai, India | Cluster deployment with Juju Charm | Deliver charms for the HPCC Systems platform and HPCC Systems plugins, ported to the Charms helper framework with corresponding tests in amulet. | Xiaoming Wang | |
Robert Kennedy Masters in Computer Science | Create HPCC Systems on Hyper V | Researching and developing GPU accelerated Deep Learning algorithms on HPCC Systems, producing the first GPU accelerated library (to his knowledge) and expanding our deep neural network capabilties. Creating HPCC Systems VM on Hyper V was included in this project. | Tim Humphrey Dr Taghi Khoshgoftaar, (Florida Atlantic University) | Tech Talk Presentation, September 2019 Poster Community Day presentation |
Akshar Prasad BTech in Computer Science RV College of Engineering (RVCE), Bengalaru, India | Fraud detection in value based cards | Prove that the machine learning model he has chosen provides an easier method of solving the problem of identifying anomalies quickly that may suggest a fraudulent transaction has taken place. | Roger Dev Dr Shobha G and Jyoti Shetty (RVCE) | Tech Talk Presentation, August 2019 Poster |
A Suryanarayanan Bachelor of Engineering | Evaluation of machine learning algorithms | Provide additional evaluation methods for the HPCC Systems Machine Learning Library, including running comparisons with existing benchmarks, the addition of new evaluation metrics and the enhancement of performance checking and provide an evaluation tool that integrates well with features such as the Myriad Interface. | Lili Xu Dr Shobha G and Jyoti Shetty (RVCE) | Tech Talk Presentation, August 2019 Poster |
Sathvik KR Bachelor of Engineering (Computer Science) | Interface Octave with ECL | Support Octave by allowing the embedding of Octave database queries within ECL code. This will be done with the help of simple wrapper classes to handle scalar values and structured data, including multi-threaded access from the ECL side. | Dan Camper Dr Shobha G and Jyoti Shetty (RVCE) | Tech Talk Presentation, August 2019 Poster |
Vannel Zeufack Masters in Computer Science | Develop and assess unsupervised anomaly detection methods using HPCC Systems | Adopt a number of machine learning and big data analysis techniques, to implement an algorithm that has the ability to detect unknown cybersecurity threats. | Arjuna Chala Lili Xu | Tech Talk Presentation, September 2019 Poster |
Profile of our intern program in 2018
- 10 students - 1 BTech, 4 undergraduate, 3 Masters, 1 PhD and 1 PostDoc
- Global and inclusive program, with four students located in India and international students from Jordan and China, studying in the USA and one student located in Europe (UK).
- 2 returning students
- 5 remote workers (working from home) including one student located in India and 5 office based in LexisNexis offices in Alpharetta, GA and Boca Raton, FL
- Spread of projects: 8 Machine Learning, 2 HPCC Systems platform,
- 18 mentors involved - 3 new RELX mentors, 7 academic mentors
HPCC Systems platform related projects
- Interface Octave with ECL
- Cluster deployment with Juju charm
Machine learning related projects
- Analysing telematics data to support the connected cars industry *
- Machine Learning and the Forensic Applications of Audio Classification: An exploration of the forensic applications of sound classification using Artificial Neural Nets *
- Cleaning and analysis of collegiate soccer GPS data in HPCC Systems *
- Domain based common words list using high dimensional representation of words *
- Create HPCC Systems on Hyper V *
- Fraud detection in value based cards
- Evaluation of machine learning algorithms
- Develop and assess unsupervised anomaly detection methods using HPCC Systems
* Projects suggested by students themselves