Arghya Kusum Das

According to our database, Arghya Kusum Das authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Encodings for Privacy-Preserving Data Storage and Transmission.

Arghya Kusum Das, M. Oguzhan Külekci, Sharma V. Thankachan

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Hurst exponent estimation using neural network.

Somenath Mukherjee, Bikash Sadhukhan, Arghya Kusum Das, Abhra Chaudhuri

Int. J. Comput. Sci. Eng., 2023

Variability and Trend Analysis of a Grid-Scale Solar Photovoltaic Array above the Arctic Circle.

Henry Toal, Arghya Kusum Das

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

On the Hardness of Wildcard Pattern Matching on de Bruijn Graphs.

Arnab Ganguly, Daniel Gibney, Arghya Kusum Das, Sharma V. Thankachan

Proceedings of the Computational Advances in Bio and Medical Sciences, 2023

2022

Memory-Efficient FM-Index Construction for Reference Genomes.

Arghya Kusum Das, M. Oguzhan Külekci, Sharma V. Thankachan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2019

Developing a Meta Framework for Key-Value Memory Networks on HPC Clusters.

Choonhan Youn, Arghya Kusum Das, Seungwon Yang, Joohyun Kim

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

2018

ParLECH: Parallel Long-Read Error Correction with Hadoop.

Arghya Kusum Das, Kisung Lee, Seung-Jong Park

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Large-scale parallel genome assembler over cloud computing environment.

Arghya Kusum Das, Praveen Kumar Koppa, Sayan Goswami, Richard Platania, Seung-Jong Park

J. Bioinform. Comput. Biol., 2017

Gaslight: A comprehensive fuzzing architecture for memory forensics frameworks.

Andrew Case, Arghya Kusum Das, Seung-Jong Park, J. Ramanujam, Golden G. Richard III

Digit. Investig., 2017

Augmenting Amdahl's Second Law: A Theoretical Model to Build Cost-Effective Balanced HPC Infrastructure for Data-Driven Science.

Arghya Kusum Das, Jae-Ki Hong, Sayan Goswami, Richard Platania, Kisung Lee, Wooseok Chang, Seung-Jong Park, Ling Liu

Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016

BIC-LSU: Big Data Research Integration with Cyberinfrastructure for LSU.

Chui-Hui Chiu, Nathan Lewis, Dipak Kumar Singh, Arghya Kusum Das, Mohammad M. Jalalzai, Richard Platania, Sayan Goswami, Kisung Lee, Seung-Jong Park

Proceedings of the XSEDE16 Conference on Diversity, 2016

Lazer: Distributed memory-efficient assembly of large-scale genomes.

Sayan Goswami, Arghya Kusum Das, Richard Platania, Kisung Lee, Seung-Jong Park

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Evaluating different distributed-cyber-infrastructure for data and compute intensive scientific application.

Arghya Kusum Das, Seung-Jong Park, Jae-Ki Hong, Wooseok Chang

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015