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Engagement Goal

Expand the implementations of HPCC Systems to improve its ability to handle cutting edge machine learning (ML) tasks such as Deep Learning and GPU processing

Florida Atlantic University (FAU) has extensive experience with using machine learning (ML). Through our various collaborations over the years, we have worked together to extend the ML capabilities of the HPCC Systems platform by implementing advanced ML algorithms for big data analytics. The main aim of these collaborative projects has been to focus on increasing the efficiency of the embedded open source deep learning libraries, while improving usability. FAU has performed extensive case studies using HPCC Systems with data related to the social determinants of health, such as Ebola and COVID-19.

Key Contacts

Borko Furht

Borko Furht, Ph.D.
Professor and Director of the NSF Industry/University Cooperative Research Center
Department of Computer & Electrical Engineering and Computer Science School of Computing
Florida Atlantic University
Taghi Khoshgoft

Taghi Khoshgoftaar, Ph.D.
Motorola Professor
Department of Computer & Electrical Engineering and Computer Science School of Computing
Florida Atlantic University

Presentations

Blogs, Interviews, and Media Coverage

View academic publications and papers