Dr Sachini Jayasooriya

Dr Sachini Jayasooriya

Postdoctoral Fellow

School of Electrical Engineering and Computing

Career Summary

Biography

Sachini Jayasooriya received the B.Sc. degree (1st honors) in Electrical and Electronic Engineering from the University of Peradeniya, Sri Lanka, in 2011 and  the PhD degree in Electrical Engineering  from the University of Newcastle, Australia, in 2017. From 2011 to 2012, she was  with the Department of Electrical and Electronic Engineering at University of Peradeniya  as a Research and  Teaching Assistant, and from 2012 to 2013 she was with Arthur C. Clarke Institute for Modern Technologies, Sri Lanka as a Research Engineer. She is  currently  a Postdoctoral Research Fellow at the University of Newcastle, Australia. Her research interests include information and coding theory, error correction codes, wireless communication, and machine-to-machine communications. 




Qualifications

  • Doctor of Philosophy, University of Newcastle
  • Bachelor of the Science of Engineering, University of Peradeniya - Sri Lanka

Keywords

  • Coding and Information Theory
  • Wireless Communications

Languages

  • English (Fluent)
  • Sinhalese (Mother)

Fields of Research

Code Description Percentage
080401 Coding and Information Theory 75
100510 Wireless Communications 25

Professional Experience

UON Appointment

Title Organisation / Department
Postdoctoral Fellow University of Newcastle
School of Electrical Engineering and Computing
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Journal article (2 outputs)

Year Citation Altmetrics Link
2017 Jayasooriya S, Shirvanimoghaddam M, Ong L, Johnson SJ, 'Joint optimisation technique for multi-edge type low-density parity-check codes', IET Communications, 11 61-68 (2017)

© The Institution of Engineering and Technology 2016. This study considers the optimisation of multi-edge type low-density parity-check (MET-LDPC) codes to maximise the decoding ... [more]

© The Institution of Engineering and Technology 2016. This study considers the optimisation of multi-edge type low-density parity-check (MET-LDPC) codes to maximise the decoding threshold. The authors propose an algorithm to jointly optimise the node degree distribution and the multi-edge structure of MET-LDPC codes for given values of the maximum number of edge-types and maximum node degrees. This joint optimisation is particularly important for MET-LDPC codes as it is not clear a priori which structures will be good. Using several examples, they demonstrate that the MET-LDPC codes designed by the proposed joint optimisation algorithm exhibit improved decoding thresholds compared with previously reported MET-LDPC codes.

DOI 10.1049/iiet-com.2016.0287
Co-authors Sarah Johnson, Mahyar Shirvanimoghaddam, Lawrence Ong
2016 Jayasooriya S, Shirvanimoghaddam M, Ong L, Lechner G, Johnson S, 'New Density Evolution Approximation for LDPC and Multi-Edge Type LDPC Codes', IEEE Transactions on Communications, 64 4044-4056 (2016) [C1]
DOI 10.1109/TCOMM.2016.2600660
Co-authors Sarah Johnson, Lawrence Ong, Mahyar Shirvanimoghaddam

Conference (1 outputs)

Year Citation Altmetrics Link
2014 Jayasooriya S, Johnson SJ, Ong L, Berretta R, 'Optimization of graph based codes for belief propagation decoding', Information Theory Workshop (ITW), 2014 IEEE (2014) [E1]
DOI 10.1109/ITW.2014.6970873
Citations Scopus - 2
Co-authors Lawrence Ong, Regina Berretta, Sarah Johnson
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Dr Sachini Jayasooriya

Position

Postdoctoral Fellow
School of Electrical Engineering and Computing
Faculty of Engineering and Built Environment

Contact Details

Email sachini.jayasooriya@newcastle.edu.au
Phone (02) 4921 5291
Mobile 0452355515

Office

Room ES 214
Building Engineering S
Location School of Electrical Engineering and Computing, The University of Newcastle, NSW, Australia,

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