Fall Distinguished Lecture
Real World Applications of Computational Science & Applied Mathematics: Data Mining, Statistical learning & Big Data Analytics
The Fall 2018 Distinguished Lecture Series was opened by Dr. Linda B. Hayden. She welcomed guests, gave brief accounts on previous research activities conducted by the IEEE-GRSS chapter at ECSU and acknowledged ECSU faculty members that were present. Dr. Johnny Houston, IEEE Chapter Vice President at ECSU, introduced the guest speaker Dr. Abdinur Ali. Dr. Ali, an Associate Professor of Mathematics and Cyber Security Researcher at the Norfolk State University, presented “Real World Applications of Computational Science & Applied Mathematics: Data Mining, Statistical learning & Big Data Analytics.”
Date and Time
Location
Hosts
Registration
- Date: 01 Nov 2018
- Time: 05:00 PM to 06:30 PM
- All times are (GMT-05:00) US/Eastern
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- 672 Weeksville Road
- Elizabeth City State University
- Elizabeth City, North Carolina
- United States 27909
- Building: Dixon-Patterson Hall
- Room Number: 292
- Contact Event Host
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Center of Excellence in Remote Sensing Education and Research
1704 Weeksville Road, Box 672
Elizabeth City, North Carolina 27909
Phone (252) 335-3696 Fax (252) 335-3790
Speakers
Dr. Abdinur Ali of Norfolk State University
Real World Applications of Computational Science & Applied Mathematics: Data Mining, Statistical learning & Big Data Ana
Dr. Abdinur Ali, an Associate Professor of Mathematics and Cyber Security Researcher at the Norfolk State University, presented “Real World Applications of Computational Science & Applied Mathematics: Data Mining, Statistical learning & Big Data Analytics.”
Dr. Ali covered three areas of computational science and applied mathematics. Data mining involving finding interesting patterns in areas such as market research and national security. Statistical learning using algorithms from experience such as generalization and new paradigms. The final area covered Big Data and using software as a service (SaaS) as in cloud computing and virtual machines.
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