Chandan Reddy
Chandan Reddy is an associate professor in the Department of Computer Science at Virginia Tech. He received his Ph.D. from Cornell University and an M.S. from Michigan State University. His primary research interests are data mining and machine learning with applications to healthcare analytics, bioinformatics, and social network analysis.
His research is funded by the National Science Foundation, the National Institutes of Health, the Department of Transportation, and the Susan G. Komen for the Cure Foundation. He has published more than 70 peer-reviewed articles in leading conferences and journals including SIGKDD, WSDM, ICDM, SDM, CIKM, TKDE, DMKD, TVCG, and PAMI. He received the Best Application Paper Award at the ACM SIGKDD conference in 2010; Best Poster Award at the IEEE VAST conference in 2014; and was a finalist of the INFORMS Franz Edelman Award Competition in 2011.
He is a senior member of the IEEE and life member of the ACM.
Research Areas:
Health Informatics
Social Media Analytics
Publications
Chandan Reddy
In Proceedings of the ACM ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp ), 08/2015
Citatations: BibTeX
Chandan Reddy
In Proceedings of the AAAI AAAI Conference on Web and Social Media, (pp ), 05/2015
Citatations: BibTeX
Chandan Reddy
In Proceedings of the European Conference on Information Retrieval, (pp ), 03/2015
Citatations: BibTeX
In the News
Sponsors
National Institutes of Health
National Science Foundation
Department of Transportation
Chandan Reddy's Timeline
Year: 2007
Ph.D. in Computer Engineering, Cornell University
Year: 2010
Best Application Paper Award, ACM SIGKDD Conference
Year: 2011
Finalist in INFORMS Franz Edelman Competition
Year: 2012
Best Paper Nomination, SIAM International Conference on Data Mining
Year: 2014
Best Poster Award, IEEE Vast Conference