Sayan Goswami

Sayan Goswami

Assistant Professor in the School of Arts and Sciences

Ahmedabad University

Biography

My interdisciplinary research interests lie in the application of High-Performance Computing to process scientific big data, especially those produced in computational genomics. Specifically, I focus on the increase in memory and execution times required in the de novo assemblies the ever-growing amount of genomic data. In addition to parallel and distributed computational techniques, I like to employ big data algorithms such as sketching and streaming.

In my current research project, I am dealing with similar problems encountered in processing metagenomes but working on solutions involving hardware accelerators which yield more performance per dollar while requiring less space and energy footprint.

Interests
  • High-performance computing
  • Big data
  • Distributed computing
  • Computational genomics
Education
  • PhD in Computer Science, 2019

    Louisiana State University

  • B.Tech in Computer Science, 2011

    National Institute of Technology, Durgapur, India

Experience

 
 
 
 
 
Ahmedabad University
Assistant Professor
Ahmedabad University
Jul 2021 – Present Ahmedabad
 
 
 
 
 
LSUS
Assistant Professor
LSUS
Jul 2019 – May 2021 Shreveport
 
 
 
 
 
Sapient
Associate Technology
Sapient
Jul 2011 – Jan 2013 Bangalore

Selected Publications

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(2020). Distributed de novo assembler for large-scale long-read datasets. In BigData'20.

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(2018). Towards Distributed Cyberinfrastructure for Smart Cities Using Big Data and Deep Learning Technologies. In ICDCS'18.

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(2018). GPU-Accelerated Large-Scale Genome Assembly. In IPDPS'18.

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(2017). Augmenting Amdahl's Second Law: A Theoretical Model to Build Cost-Effective Balanced HPC Infrastructure for Data-Driven Science. In CLOUD'17.

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(2016). Lazer: Distributed memory-efficient assembly of large-scale genomes. In BigData'16.

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