PUBLICATIONS

• Ramamurthy, P.  Aakur, S. N. (2022). ISD-QA: Iterative Distillation of Commonsense Knowledge from General Language Models for Unsupervised Question Answering. In 26th International Conference on Pattern Recognition, pp. 1229–1235.International Conference on Pattern Recognition (ICPR). RANK- A LEVEL BY QUALIS/CORE-CS Conference Rankings(Link), among the Top 16 Computer Vision & Pattern Recognition Conferences as per Google Scholar Ranking(Link).

• Pallagani, V., Ramamurthy, P., Khandelwal, V., Venkataramanan, R., Lakkaraju, K., Aakur, S. N., Srivastava, B. (2022). A

Rich Recipe Representation as Plan to Support Expressive Multi-Modal Queries on Recipe Content and Preparation Process.

Knowledge Engineering for Planning and Scheduling (KEPS) Workshop, International Conference on Automated Planning and

Scheduling. International Conference on Automated Planning and Scheduling (KEPS WORKSHOP).

• Aakur, S., Laguduva Ramnath, V., Ramamurthy, P., Ramachandran, A. (2024). TEPI: Taxonomy-Aware Embedding and Pseudo-Imaging for Scarcely-Labeled Zero-Shot Genome Classification. IEEE Journal of Biomedical and Health Informatics (JBHI). One of the Top3 Health Information Management Journals (Link) Impact Factor:7.7.

• Ramamurthy, P., Han, Z., Delen, D., Miao, Z., Gin, A., Luo, X., & Paiva, W. (2025). Graph Attention Network with Comorbidity Connectivity Embedding for Post-Traumatic Epilepsy Risk Prediction Using Sparse Time-Series Electronic Health Records. International Journal of Medical Informatics(IJMI). Abstract accepted for poster presentation at the American Epilepsy Society (AES) Annual Meeting (December 7, 2025).[AESConferenceAbstract].

• Khandelwal, V., Lakkaraju, K., Pallagani, V., Ramamurthy, P., et al. (2022). A Multi-Modal Decision Support System with Allergy-Aware Recipe Understanding Powered by a Plan Representation. AAAI-affiliated demonstration/workshop paper.

Preprint Version:

• Narayanan, S., Aakur, S. N., Ramamurthy, P., Bagavathi, A., Ramnath, V., Ramachandran, A. (2022). Scalable Pathogen

Detection from Next Generation DNA Sequencing with Deep Learning. arXiv Preprint, arXiv:2212.00015.

Manuscripts Under Review:

• Scalable Feature Engineering and Machine Learning on Large-Scale Electronic Health Records in the Cloud: A Spark ML Workflow for Assessing Risk for Post-Traumatic Epilepsy. Under Review at IEEE Transactions on Big Data.

• Optimizing Clinical Decision Support Systems Using Generative Adversarial Imputation: The Example of Post-Traumatic Epilepsy. Under Review at Hawaii International Conference on System Sciences (HICSS).

• Using Explainable Graph Attention Networks to Identify Key Predictors and Comorbidity Connectiveness in Post-Traumatic Epilepsy. Under Review.