Neural networks for big data

Program Code: 

Prof Hussein Abbass (

Description of Work: 


Big data are massive datasets in the order of terabytes and beyond. Scaling up neural networks to datasets of this size is not a trivial task. The objective of this project is to design neural networks that can discover relationships in Big Data efficiently.

Expected Background Knowledge:

  • Knowledge or demonstrated ability to do programming in parallel highperformance computing environment using C or JAVA
  • Good understanding of Neural Networks

Description of work:

  • A literature review of Neural Networks and Big Data
  • Creating new algorithms for Neural Networks to handle Big Data
  • Testing the new algorithms