Nathan Self
Nathan Self is a research associate in the Department of Computer Science and a member of the Sanghani Center. He worked for a number of years in industry before joining DAC as a graduate assistant working on interactive visualizations for the EMBERS event forecasting project. He is now working on custom interactive visualizations for the Sanghani Center projects.
He received a bachelor’s degree in computer science from the College of William and Mary in 2010 and a master’s degree from Virginia Tech.
Research Areas:
Forecasting
Social Media Analytics
Urban Computing
Visual Analytics
Publications
Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Naren Ramakrishnan
In Proceedings of the 9th AAAI Conference on Artificial Intelligence, (pp 13358-13365), 04/2020
Citatations: BibTeX
Debanjan Datta, Mohammad Raihanul Islam, Nathan Self, Naren Ramakrishnan
In Proceedings of the 8th AAAI Conference on Artificial Intelligence, (pp 13248-13254), 04/2020
Citatations: BibTeX
Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan
In Proceedings of the 9th AAAI Conference on Artificial Intelligence, (pp 7953-7960), 05/2021
Citatations: BibTeX
In the News
Sponsors
IARPA
Nathan Self's Timeline
Year: 2012
Graduate Assistant, EMBERS Project, DAC
Year: 2015
Research Associate, DAC