Chandan Reddy
Chandan Reddy is a professor in the Department of Computer Science at Virginia Tech and core faculty at the Sanghani Center. His primary research interests are data analytics and machine learning with applications to a wide range of real-world domains, including healthcare, cybersecurity, transportation, e-commerce, and business intelligence.
He has published more than 120 peer-reviewed articles in leading conferences and journals and serves on the editorial boards of the ACM TKDD and DMKD journals. He has also authored two books, “Data Clustering: Algorithms and Applications,” and “Healthcare Data Analytics,“ published by Chapman & Hall/CRC Press, in 2013 and 2015, respectively.
His research has been funded by the National Science Foundation, the National Institutes of Health, the Department of Energy, the Department of Transportation and various industries.
Awards for his work include Best Application Paper Award at the ACM SIGKDD conference in 2010; Best Poster Award at the IEEE VAST conference in 2014; and Best Student Paper Award at the IEEE ICDM conference in 2016. He was also a finalist in the INFORMS Franz Edelman Award Competition in 2011.
In 2018, Reddy served as Program Committee co-chair for the international conference on Advances in Social Network Analysis and Mining (ASONAM).
Reddy is a distinguished member of the Association for Computing Machinery and a senior member of the IEEE.
Reddy earned his master’s degree from Michigan State University and a Ph.D. from Cornell University.
Publications
Nurendra Choudhary, Chandan Reddy
In Cornell University, : , 10/2023
Citatations: BibTeX
Chandan Reddy, Ping Wang, Yue Ning
In Cornell University, : , 10/2023
Citatations: BibTeX
Chandan Reddy
In Cornell University, : , 10/2023
Citatations: BibTeX
Projects
In the News
Sponsors
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
Year: 2016
Best Student Paper Award, IEEE ICDM Conference
Year: 2018
Program Committee co-chair for international conference on Advances in Social Network Analysis and Mining (ASONAM)
Year: 2018
Criteo AI Faculty Research Award