Kumawat, H., Sharan, A., & Verma, S. (2025, November 28–30). Evaluating the Influence of Text Representation Methods on Deep Learning-Based Biomedical Multi-Label Text Classification. Presented at the Conference on Artificial Intelligence, Plaksha University, Mohali, India.

Kumawat, H., Verma, S., & Sharan, A. (2025, December 11–14). Ontology-driven semantic knowledge graph construction and analysis for the cancer hallmark “sustaining proliferative signaling”. Paper presented at the 11th International Conference on Pattern Recognition and Machine Intelligence, IIT Delhi, New Delhi, India.

Kumawat, H., Sharan, A., & Verma, S. (2025). Impact Analysis of Text Representation on Biomedical Multi-Label Text Classification with Deep Learning. Procedia Computer Science, 258, 3294-3304. https://doi.org/10.1016/j.procs.2025.04.587 

Verma, S., Kumawat, H., Sharan, A., Hooda, S., & Verma, N. (2025). Unveiling Biomedical Insights: A Semantic Pipeline from Document Entities to Knowledge Graph Analysis of Hallmarks of Cancer. Procedia Computer Science, 258, 2200-2209. https://doi.org/10.1016/j.procs.2025.04.470 

Rani, A., Kumawat, H., & Sharan, A. (2024, July). Patient-Centric Drug Recommendation from EHR Data: A Graph Neural Network-Based Approach. In International Conference on Data Science and Applications (pp. 153-166). Singapore: Springer Nature Singapore. https://link.springer.com/chapter/10.1007/978-981-96-2647-2_10 

Kumawat, H., Kaalia, R., Ghosh, I. (2024). Role of Ontology in Biomedical Text Mining. In: Sharan, A., Malik, N., Imran, H., Ghosh, I. (eds) Text Mining Approaches for Biomedical Data. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-97-3962-2_7 

Kumawat, H., & Agarwal, P. (2021, August). Artificial Neural Network Model to Predict the Design Parameters of Inset-fed Microstrip Patch Antenna. In 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 943-948). IEEE. https://doi.org/10.1109/SPIN52536.2021.9566033