Rupinder Paul Khandpur
Rupinder Paul Khandpur was a DAC Ph.D. student in the Department of Computer Science. His research interests include data mining, predictive analytics, geolocation in multimedia, and social network analysis. He is also interested in using multiple open source data to forecast civil unrest events like protests and strikes, as well as mining financial networks, coalitions, and capital flows during post-disaster recovery.
Publications
Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak Gupta, David Mares, Naren Ramakrishnan
In Proceedings of the ACM ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp ), 08/2016
Citatations: BibTeX
Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
In IAAI Conference, : , 02/2017
Citatations: BibTeX
Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward Dougherty, Sheng Guo, Feng Chen, B. Aditya Prakash, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 1660-1669), 08/2014
Citatations: BibTeX
Forecasting
Network ScienceIn the News
Grants Provided By
IARPA