| 2026 | ACL | Thesis Proposal: A Normalization-First Framework for Sound, Complete, and Utility-Ready Open Information Extraction. | Chandan Prakash, Pavan Kumar Chittimalli, Arnab Bhattacharya |
| 2026 | ENASE | From Regulatory Text to Executable Configuration: A Neuro-Symbolic Architecture for Automated Enterprise Software Systems. | Chandan Prakash, Pavan Kumar Chittimalli, Ravindra Naik |
| 2026 | ICSA | An Efficient Approach for Model Recovery From Image Containing Diagrams. | Gopal Shendge, Lisha Ahuja, Chandan Prakash, Pavan Kumar Chittimalli, Ravindra Naik |
| 2019 | ENASE | Semantic Search and Query Over SBVR-based Business Rules using SMT based Approach and Information Retrieval Method. | Kritika Anand, Sayandeep Mitra, Pavan Kumar Chittimalli |
| 2018 | APSEC | MatGap: A Systematic Approach to Perform Match and Gap Analysis among SBVR-Based Domain Specific Business Rules. | Sayandeep Mitra, Chandan Prakash, Shayak Chakraborty, Pavan Kumar Chittimalli |
| 2018 | PADL | An Automated Detection of Inconsistencies in SBVR-based Business Rules Using Many-sorted Logic. | Kritika Anand, Pavan Kumar Chittimalli, Ravindra Naik |
| 2014 | ICSE | Variable provenance in software systems. | Pavan Kumar Chittimalli, Ravindra Naik |
| 2012 | ICST | GEMS: A Generic Model Based Source Code Instrumentation Framework. | Pavan Kumar Chittimalli, Vipul Shah |