| 2022 | COMAD | Population-centric Profiling with Social Data for Large-scale Epidemiological studies. | Reshma Unnikrishnan, S. Sowmya Kamath, V. S. Ananthanarayana |
| 2020 | EANN | Medical Knowledge-Based Deep Learning Framework for Disease Prediction on Unstructured Radiology Free-Text Reports Under Low Data Condition. | Shashank Shetty, V. S. Ananthanarayana, Ajit Mahale |
| 2019 | ICDSE | NPRank: Nexus based Predicate Ranking of Linked Data. | R. Sakthi Murugan, V. S. Ananthanarayana |
| 2018 | ISDA | Towards an Upper Ontology and Hybrid Ontology Matching for Pervasive Environments. | N. Karthik, V. S. Ananthanarayana |
| 2018 | SERA | Dynamic Performance Aware Reduce Task Scheduling in MapReduce on Virtualized Environment. | Rathinaraja Jeyaraj, V. S. Ananthanarayana |
| 2009 | ICDCN | Tree-Based Dynamic Primary Copy Algorithms for Replicated Databases. | Pradhan Bagur Umesh, A. R. Bharath Kumar, V. S. Ananthanarayana |
| 2008 | ICDCN | An Abstraction Based Communication Efficient Distributed Association Rule Mining. | P. Santhi Thilagam, V. S. Ananthanarayana |
| 2007 | ICMLA | Semantic Partition Based Association Rule Mining across Multiple Databases Using Abstraction. | P. Santhi Thilagam, V. S. Ananthanarayana |
| 2006 | ICDCIT | Dynamic Primary Copy with Piggy-Backing Mechanism for Replicated UDDI Registry. | V. S. Ananthanarayana, K. Vidyasankar |
| 2005 | WISE | Binding and Execution of Web Service Compositions. | K. Vidyasankar, V. S. Ananthanarayana |
| 2000 | HiPC | Scalable, Distributed and Dynamic Mining of Association Rules. | V. S. Ananthanarayana, D. K. Subramanian, M. Narasimha Murty |