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Computational Framework and Data Science for Identification

This three-year collaborative research grant aims to integrate research with educational activities for students at undergraduate and graduate levels. The grant will support the introduction of a new course, Data Science and Machine Learning, and the enhancement of an existing course with data analytics and AI concepts.

Project Information

The proposed project activities provide an advanced level of research training and education opportunities in the fields of data science and analytics, artificial intelligence, and cyber security for primarily minority students from underrepresented groups to better prepare them for advanced degree programs and successful careers in technology and science. Winston-Salem State University will collaborate with faculty members in the Department of Computer Science at North Carolina A&T State University on the grant. The combined grants are for $1 million. 

Amount awarded to date : $299,962
Principal Investigator : Dr. Mufasta Atay, WSSU
Co-Principal Investigator : Dr. Debzani Deb, WSSU
Collaborators 
: Dr. Roy Kaushik (NCAT), Dr. Xiaohong Yuan (NCAT), Dr. Albert Esterline (NCAT)

Project Duration : 10/1/2019 - 09/30/2024
NSF Award Number : 1900087

NSF Program manager : Subrata Acharya 

Project

Goals

1) To enhance research capabilities in identity and data science and technology.

2) To enhance the capacity of North Carolina A&T State University and Winston-Salem State University to participate in identity and data-science research.

3) To involve graduate and undergraduate students, especially members of underrepresented minorities and females, in data science and identity research.

4) To strengthen the North Carolina A&T computer science doctoral and Master's programs and the Winston-Salem State Master's program as well as to strengthen the pipeline to computer science doctoral studies.

Latest Updates

PI Mustafa Atay presented a short research paper at the 22nd IEEE International Conference On Machine Learning And Applications (IEEE ICMLA), Jacksonville, FL, USA, December 15-17, 2023

PI Mustafa Atay presented a research paper at the 2023 IEEE Symposium Series on Computational Intelligence (IEEE SSCI), Mexico City, Mexico, December 5-8, 2023

GRA James Coe and PI Mustafa Atay published the journal article “Evaluating Impact of Race in Facial Recognition across Machine Learning and Deep Learning Algorithms”  MDPI Computers

 September 2021

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