World's Best Scientists 2026 revealed!
Sri Parameswaran

Sri Parameswaran

D-Index & Metrics

Computer Science

D-Index
30
Citations
3795
World Ranking
14104
National Ranking
414

Overview

Sri Parameswaran is affiliated with the University of Sydney in Australia and has contributed extensively to the fields of computer science and biochemistry, genetics, and molecular biology. Their research spans a variety of topics including genomics and phylogenetic studies, algorithms and data compression, hardware security, and molecular biology processes such as RNA and protein synthesis mechanisms.

The scientist's work frequently intersects advanced computational methods with biological data analysis, as seen in their publications on nanopore sequencing technology and data handling. Their research has been disseminated through multiple high-impact venues where they have published consistently.

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IACR Transactions on Cryptographic Hardware and Embedded Systems
  • Bioinformatics

Significant recent papers authored or coauthored by Sri Parameswaran include:

  • GPU accelerated adaptive banded event alignment for rapid comparative nanopore signal analysis, 2020, BMC Bioinformatics
  • Fast nanopore sequencing data analysis with SLOW5, 2022, Nature Biotechnology
  • Efficient real-time selective genome sequencing on resource-constrained devices, 2022, GigaScience
  • Flexible and efficient handling of nanopore sequencing signal data with slow5tools, 2023, Genome Biology
  • ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training and Inference, 2023, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Throughout their career, the scientist has collaborated extensively with colleagues focusing on computational biology and hardware security. Frequent coauthors include:

  • Hasindu Gamaarachchi
  • Hiruna Samarakoon
  • Hassaan Saadat
  • Ira W. Deveson
  • Darshana Jayasinghe

Sri Parameswaran's academic contributions are particularly notable in subfields such as artificial intelligence, hardware and architecture, and computer vision and pattern recognition. Their interdisciplinary approach combines expertise in electrical and electronic engineering with deep biological insights.

Main research topics covered in their publications include:

  • Genomics and Phylogenetic Studies
  • Algorithms and Data Compression
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Cryptographic Implementations and Security
  • Security and Verification in Computing
  • RNA and Protein Synthesis Mechanisms
  • RNA Modifications and Cancer

Best Publications

  • GPU accelerated adaptive banded event alignment for rapid comparative nanopore signal analysis

    Hasindu Gamaarachchi;Hasindu Gamaarachchi;Chun Wai Lam;Gihan Jayatilaka;Hiruna Samarakoon

  • Fast nanopore sequencing data analysis with SLOW5

    Unknown

  • NoCGEN:a template based reuse methodology for Networks On Chip architecture

    J. Chan;S. Parameswaran

  • Finding optimal L1 cache configuration for embedded systems

    Andhi Janapsatya;Aleksandar Ignjatović;Sri Parameswaran

  • Design methodology for pipelined heterogeneous multiprocessor system

    Seng Lin Shee;Sri Parameswaran

  • IMPRES: integrated monitoring for processor reliability and security

    Roshan G. Ragel;Sri Parameswaran

  • Designing Embedded Processors A Low Power Perspective

    J. Henkel;S. Parameswaran

  • Minimally Biased Multipliers for Approximate Integer and Floating-Point Multiplication

    Hassaan Saadat;Haseeb Bokhari;Sri Parameswaran

  • Embedded systems security--an overview

    Sri Parameswaran;Tilman Wolf

  • darkNoC: Designing Energy-Efficient Network-on-Chip with Multi-Vt Cells for Dark Silicon

    Haseeb Bokhari;Haris Javaid;Muhammad Shafique;Jörg Henkel

  • RIJID: random code injection to mask power analysis based side channel attacks

    Jude Angelo Ambrose;Roshan G. Ragel;Sri Parameswaran

  • A novel instruction scratchpad memory optimization method based on concomitance metric

    Andhi Janapsatya;Aleksandar Ignjatović;Sri Parameswaran

  • Dark silicon as a challenge for hardware/software co-design: invited special session paper

    Muhammad Shafique;Siddharth Garg;Tulika Mitra;Sri Parameswaran

  • NoCOUT: NoC topology generation with mixed packet-switched and point-to-point networks

    Jeremy Chan;Sri Parameswaran

  • INSIDE: INstruction Selection/Identification & Design Exploration for Extensible Processors

    Newton Cheung;Sri Parameswaran;Jörg Henkel

  • NoCEE: energy macro-model extraction methodology for network on chip routers

    J. Chan;S. Parameswaran

  • Hardware/software managed scratchpad memory for embedded system

    Andhi Janapsatya;Sri Parameswaran;A. Ignjatovic

  • MUTE-AES: a multiprocessor architecture to prevent power analysis based side channel attack of the AES algorithm

    Jude Angelo Ambrose;Sri Parameswaran;Aleksandar Ignjatovic

  • Rapid Configuration and Instruction Selection for an ASIP: A Case Study

    Newton Cheung;Jorg Henkel;Sri Parameswaran

  • Processor Design for Soft Errors: Challenges and State of the Art

    Tuo Li;Jude Angelo Ambrose;Roshan Ragel;Sri Parameswaran

  • Efficient real-time selective genome sequencing on resource-constrained devices

    Unknown

  • Advanced modes in AES: Are they safe from power analysis based side channel attacks?

    Darshana Jayasinghe;Roshan G. Ragel;Jude Angelo Ambrose;Aleksandar Ignjatovic

  • Configurable Multimode Embedded Floating-Point Units for FPGAs

    Yee Jern Chong;S. Parameswaran

Frequent Co-Authors

Jorg Henkel
Jorg Henkel Karlsruhe Institute of Technology
Muhammad Shafique
Muhammad Shafique New York University Abu Dhabi
Martin A. Smith
Martin A. Smith Garvan Institute of Medical Research
Nikil Dutt
Nikil Dutt University of California, Irvine
Marc R. Wilkins
Marc R. Wilkins University of New South Wales
Tulika Mitra
Tulika Mitra National University of Singapore
Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame
Puneet Gupta
Puneet Gupta University of California, Los Angeles
David Z. Pan
David Z. Pan The University of Texas at Austin
Umit Y. Ogras
Umit Y. Ogras University of Wisconsin–Madison

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science opens doors to a range of connected fields and flexible online study options. Many students who consider computer science are also interested in related disciplines such as environmental science or engineering. If you’re curious about what you can do with an environmental science degree, you’ll find overlapping roles in data analysis, software development for sustainability, and more.

For those eager to enter the tech workforce quickly, choosing a computer science accelerated program can help you complete your education faster and start your career sooner. Flexible online study makes it easier than ever to balance education, work, and life commitments.

If your interests blend technology and the environment, you might explore environmental engineering degrees online. These programs teach you how to apply engineering solutions to real-world environmental challenges, all from the comfort of your home.

Affordability is also a key concern for many students. For hands-on problem solvers, understanding mechanical engineering degree cost can be a deciding factor. Check the mechanical engineering degree cost for various online programs to find options that fit your budget.

Best Scientists Citing Sri Parameswaran

Trending Scientists

Recently Published Articles