Data Analytics Challenges in Biomedical Engineering

Author

Donald C. Wunsch, Missouri University of Science and TechnologyFollow

Abstract

Biomedical engineering applications are now generating data at a rate that is increasing even faster than Moore's Law, just as that Law has come to an end. Thus it is incumbent in those who design intelligent computing techniques to compensate for the bottleneck that results. This provides amazing challenges and opportunities for researchers in this fast-growing field.

Recommended Citation

D. C. Wunsch, "Data Analytics Challenges in Biomedical Engineering," Proceedings of the IEEE World Congress on Intelligent Control and Automation (2016, Guilin, China), Institute of Electrical and Electronics Engineers (IEEE), Jun 2016.

Meeting Name

IEEE World Congress on Intelligent Control and Automation (2016: Jun. 12-15, Guilin, China)

Department(s)

Electrical and Computer Engineering

Research Center/Lab(s)

Center for High Performance Computing Research

Second Research Center/Lab

Intelligent Systems Center

Comments

Plenary Presentation

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jun 2016