Kushal Gaddamwar

Research exploring context-aware deep learning models (transformers and graph neural networks) to detect and automatically fix bugs in software systems, with discussion of datasets, contextual metadata, and CI/CD integration for automated patch generation.

Paper on a tree-decoder approach (KNOD) that distills domain knowledge for automated program repair.

Listed as a contributor/author in the table of contents for an edited volume related to cyber-physical systems and urban living.