World's Best Scientists 2026 revealed!
Sri Parameswaran

Sri Parameswaran

D-Index & Metrics

Computer Science

D-Index
30
Citations
3795
World Ranking
14101
National Ranking
414

Sri Parameswaran publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Sri Parameswaran sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 313 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Sri Parameswaran D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Sri Parameswaran sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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
Tulika Mitra
Tulika Mitra National University of Singapore
Marc R. Wilkins
Marc R. Wilkins University of New South Wales
Tilman Wolf
Tilman Wolf University of Massachusetts Amherst
Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame
David Z. Pan
David Z. Pan The University of Texas at Austin
Umit Y. Ogras
Umit Y. Ogras University of Wisconsin–Madison

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