| 2023 | CIT | Skin-Vision: An Innovative Mobile-Based Automated Skin Disease Detection Application. | Garika Akshay, Mohammad Irfan, K. G. Srinivasa, Anurag Singh |
| 2018 | HiPC | Performance Analysis of Deep Learning Architectures for Recommendation Systems. | Devika Anil, Anagha Vembar, Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa |
| 2016 | ICCE | A Simulation based learning for Computer Organization Education. | K. G. Srinivasa, Sowmya B. J., Chandrika Prasad, K. Madhavi |
| 2016 | ICCE | VidhyaSangam: A Cost-Effective Video Learning Solution for Class-Room and Students Personal Use. | Nagabhushana A. Matad, K. G. Srinivasa, Lenin Fernandes |
| 2016 | ICDCIT | An Internet of Things Based Software Framework to Handle Medical Emergencies. | K. G. Srinivasa, Kartik S. Gayatri, Maaz Syed Adeeb, Nikhil N. Jannu |
| 2015 | APSEC | A Case Study based Software Engineering Education using Open Source Tools. | Sowmya B. J., Srinidhi Hiriyannaiah, K. G. Srinivasa |
| 2011 | HPCC | An Adaptive Scheduler Framework for Complex Workflow Jobs on Grid Systems. | G. M. Siddesh, K. G. Srinivasa |
| 2010 | HPCC | Fault-Tolerant Middleware for Grid Computing. | K. G. Srinivasa, G. M. Siddesh, Sijo Cherian |
| 2007 | CIDM | Data Mining based Query Processing using Rough Sets and Genetic Algorithms. | K. G. Srinivasa, M. Jagadish, K. R. Venugopal, Lalit M. Patnaik |
| 2007 | ICDCIT | Selective Querying and Other Proposals for a Less Congested Gnutella Network. | K. G. Srinivasa, Anuj Bhatt, Sagnik Dhar, K. R. Venugopal, Lalit M. Patnaik |
| 2006 | APWEB | Indexing XML Documents Using Self Adaptive Genetic Algorithms for Better Retreival. | K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik |
| 2005 | CIS | Selective Dissemination of XML Documents Using GAs and SVM. | K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik |
| 2005 | IDEAL | A Dynamic Migration Model for Self-adaptive Genetic Algorithms. | K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik |
| 2003 | IDEAL | Dynamic Subspace Clustering for Very Large High-Dimensional Databases. | P. Deepa Shenoy, K. G. Srinivasa, M. P. Mithun, K. R. Venugopal, Lalit M. Patnaik |
| 2003 | PAKDD | Evolutionary Approach for Mining Association Rules on Dynamic Databases. | P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik |