Publications

Author: Praveen Rao 9213b748-d6e5-4daf-9758-525629679049
A Scalable Tool for Democratizing Variant Calling on Human Genomes Using Commodity Clusters source
Authors: Khawar Shehzad, Ajay Kumar, Matthew Schutz, Chase Webb, Polycarp Nalela, Manas Das, Praveen Rao
2024 ACM Conference on Information and Knowledge Management (CIKM 2024) CI4Neuroscience
A Technique for Secure Variant Calling on Human Genome Sequences Using SmartNICs source
Authors: Praveen Rao, Khawar Shehzad
2024 IEEE International Conference on Cloud Computing (CLOUD) GAF
Automated Dementia Detection from Speech Using Disfluency Features source
Authors: Laouratou Diallo, Mona Botezatu, Praveen Rao
2026 2026 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) GAF
Efficient Variant Calling on Human Genome Sequences Using a GPU-Enabled Commodity Cluster source
Authors: Manas Das, Khawar Shehzad, Praveen Rao
2023 ACM International Conference on Information and Knowledge Management (CIKM) GAF
Explainable AI for Predicting Mortality Risk in Metastatic Cancer: Retrospective Cohort Study Using the Memorial Sloan Kettering-Metastatic Dataset source
Authors: Polycarp Nalela, Deepthi Rao, Praveen Rao
2026 JMIR Cancer GAF
On Scaling Neuronal Network Simulations Using Distributed Computing source
Authors: Vladimir Omelyusik, Khawar Shehzad, Tyler Banks, Praveen Rao, Satish Nair
2024 International Workshop on Innovating the Network for Data-Intensive Science (INDIS 2024) GAF
Optimizing the Variant Calling Pipeline Execution on Human Genomes Using GPU-Enabled Machines source
Authors: Ajay Kumar, Praveen Rao, Peter Sanders
2025 Companion Proceedings of the 16th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics GAF
Performance of Small Language Model Pretraining on FABRIC: An Empirical Study source
Authors: Praveen Rao
2026 2026 IEEE 42nd International Conference on Data Engineering Workshops (ICDEW) GAF
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FABRIC is supported in part by a Mid-Scale RI-1 NSF award under Grant No. 1935966.