Sayan Goswami

Orcid: 0000-0002-7519-524X

According to our database1, Sayan Goswami authored at least 14 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
A Note on Distinct Differences in t-Intersecting Families.
Graphs Comb., August, 2024

2023
Polynomial Extension of the Stronger Central Sets Theorem.
Electron. J. Comb., 2023

Memory-Efficient All-Pair Suffix-Prefix Overlaps on GPU.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Hales-Jewett type configurations in small sets.
Eur. J. Comb., 2022

2020
GraphMap: scalable iterative graph processing using NoSQL.
J. Supercomput., 2020

Distributed de novo assembler for large-scale long-read datasets.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Deep Learning-Based Spatial Analytics for Disaster-Related Tweets: An Experimental Study.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

Relationship between Nash Equilibria and Pareto Optimal Solutions for Games of Pure Coordination.
Proceedings of the 10th International Conference on Computing, 2019

2018
GPU-Accelerated Large-Scale Genome Assembly.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Towards Distributed Cyberinfrastructure for Smart Cities Using Big Data and Deep Learning Technologies.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017
Large-scale parallel genome assembler over cloud computing environment.
J. Bioinform. Comput. Biol., 2017

Augmenting Amdahl's Second Law: A Theoretical Model to Build Cost-Effective Balanced HPC Infrastructure for Data-Driven Science.
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016
BIC-LSU: Big Data Research Integration with Cyberinfrastructure for LSU.
Proceedings of the XSEDE16 Conference on Diversity, 2016

Lazer: Distributed memory-efficient assembly of large-scale genomes.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016


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