Search Results for "Nathan Self"

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 […]

Redistrict: Designing a Self-Serve Interactive Boundary Optimization System

Andreea Sistrunk, Nathan Self, Subhodip Biswas, Kurt Luther, Nervo Verdezoto, Naren Ramakrishnan: Redistrict: Designing a Self-Serve Interactive Boundary Optimization System. Conference on Designing Interactive Systems (Companion Volume) 2023: 284-287

Teaming up to beat the heat

This summer marked the Earth’s hottest on record. The Roanoke Valley was no exception to the heat, with news reports naming 2023 as the region’s second-hottest summer. But the rising temperatures were particularly stifling for some neighborhoods in Roanoke —  those impacted by harmful urban planning practices. Naren Ramakrishnan, the Thomas L. Phillips Professor of Engineering and director […]

Geospatial Clustering for Balanced and Proximal Schools

Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan:Geospatial Clustering for Balanced and Proximal Schools. AAAI 2020: 13358-13365

Detecting Suspicious Timber Trades

Debanjan Datta, Mohammad Raihanul Islam, Nathan Self, Amelia Meadows, John Simeone, Willow Outhwaite, Chen Hin Keong, Amy Smith, Linda Walker, Naren Ramakrishnan: Detecting Suspicious Timber Trades. AAAI 2020: 13248-13254

Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications

Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu: Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. AAAI 2021: 7953-7960

On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game

Zhihao Hu, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Yihui Ren, Vanessa Cedeno-Mieles , Saliya Ekanayake, Xinwei Deng, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Abhijin Adiga, Gizem Korkmaz, Chris J. Kuhlman: On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game. WSC 2019: 169-180

Feature driven learning framework for cybersecurity event detection

Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan: Feature driven learning framework for cybersecurity event detection. ASONAM 2019: 196-203

REGAL: A Regionalization framework for school boundaries

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan: REGAL: A Regionalization framework for school boundaries. SIGSPATIAL/GIS 2019: 544-547

Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games

Vanessa Cedeno-Mieles , Zhihao Hu, Xinwei Deng, Yihui Ren, Abhijin Adiga, Christopher L. Barrett, Saliya Ekanayake, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy: Mechanistic and data-driven agent-based models to explain human behavior in […]