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.

Associate Professor of Computer Science
Research Areas:
  • iconHealth Informatics
Phone: 571-858-3307
Web site
Email

Projects

Data-driven Stratification and Prognosis for Traumatic Brain Injury
Research Areas:
  • iconForecasting
  • iconHealth Informatics
Dates: September 15, 2018August 31, 2022
Sponsors:
  • National Science Foundation
Computational Methods for Promoting and Predicting Project Campaigns in Crowdfunding Environments EAGER: An Integrated Predictive Modeling Framework for Crowdfunding Environments
Research Areas:
  • iconForecasting
Dates: August 15, 2016July 31, 2018
Sponsors:
  • National Science Foundation
Rehospitalization Analytics: Modeling and Reducing the Risks of Rehospitalization This project provides a comprehensive and accurate assessment of risk of rehospitalization and has the potential to direct more aggressive treatments towards specific high-risk patients.
Research Areas:
  • iconForecasting
  • iconHealth Informatics
Dates: August 15, 2016July 31, 2018
Sponsors:
  • National Science Foundation

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