Shyaman Jayasundara

I'm a passionate data science enthusiast with a keen interest in bioinformatics and computational biology. Beyond the world of data, I find joy in exploring new places and capturing precious moments with my loved ones.

Experience 

Education 

Publications 

• Cooper, P.O., Yang, J., Wang, H.H., Broman, M.M., Jayasundara, S.M., Sahoo, S.S., Yan, B., Awdalkreem, G.D., Cresswell, G.M., Wang, L. and Goossens, E., "Inflammation impacts androgen receptor signaling in basal prostate stem cells through interleukin 1 receptor antagonist", Communications Biology, 7(1), p.1390, doi: 10.1038/s42003-024-07071-y.
• Bandaranayake, P.C., Naranpanawa, N., Chandrasekara, C.B., Samarakoon, H., Lokuge, S., Jayasundara, S., Bandaranayake, A.U., Pushpakumara, D.K.N.G. and Wijesundara, D.S.A., "Chloroplast genome, nuclear ITS regions, mitogenome regions, and Skmer analysis resolved the genetic relationship among Cinnamomum species in Sri Lanka", Plos one, 18(9), e0291763, 2023, doi: 10.1371/journal.pone.0291763.
• Sooriyabandara, M. G. C.*, A. U. Bandaranayake*, H. A. B. M. Hathurusinghe*, S. M. Jayasundara*, M. S. R. R. P. Marasinghe, G. A. T. Prasad, V. P. M. K. Abeywardana, M. A. Pinidiya, R. M. R. Nilanthi, and P. C. G. Bandaranayake, "A unique single nucleotide polymorphism in Agouti Signalling Protein (ASIP) gene changes coat colour of Sri Lankan leopard (Panthera pardus kotiya) to dark black", Plos one, 18(7), e0269967, 2023, doi: 10.1371/journal.pone.0269967.
• Sooriyabandara, M. G. C.*, J. M. S. M. Jayasundara*, M. S. L. R. P. Marasinghe*, H. A. B. M. Hathurusinghe*, A. U. Bandaranayake, K. A. N. C. Jayawardane, R. M. R. Nilanthi, R. C. Rajapakse, and P. C. G. Bandaranayake, "Genetic features of Sri Lankan elephant, Elephas maximus maximus Linnaeus revealed by high throughput sequencing of mitogenome and ddRAD-seq", Plos one, 18(6), e0285572, 2023, doi: 10.1371/journal.pone.0285572.
• S. Jayasundara*, A. Indika* and D. Herath, "Interpretable Student Performance Prediction Using Explainable Boosting Machine for Multi-Class Classification", 2022 2nd International Conference on Advanced Research in Computing (ICARC), 2022, pp. 391-396, doi: 10.1109/ICARC54489.2022.9753867.
• S. Lokuge*, S. Jayasundara*, P. Ihalagedara*, I. Kahanda, and D. Herath, "miRNAFinder: A comprehensive web resource for plant pre-microRNA classification", Biosystems, vol. 215–216, no. February, p. 104662, 2022, doi: 10.1016/j.biosystems.2022.104662.
• S. Jayasundara*, S. Lokuge*, P. Ihalagedara*, and D. Herath, "Machine learning for plant microRNA prediction: A systematic review", arXiv, Jun. 2021. http://arxiv.org/abs/2106.15159
• P. Ihalagedara*, S. Lokuge*, S. Jayasundara*, D. Herath and I. Kahanda, "miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact", 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Viña del Mar, 2020, pp. 1-7, doi: 10.1109/CIBCB48159.2020.9277723.
• S. Lokuge*, S. Jayasundara*, P. Ihalagedara* and D. Herath, "miRNAFinder: An accurate plant pre-microRNAclassifier with an analysis of feature impact", Engineering Students Conference at Peradeniya, Sri Lanka, 2020. https://aces.ce.pdn.ac.lk/publications/proceedings/escape-2020
• D. Laden*, S. Jayasundara* and I. Kahanda, "RDoCer: Information Retrieval and Sentence Extraction for Mental Health using Research Domain Criteria", 2020 IEEE 14th International Conference on Semantic Computing (ICSC), San Diego, CA, USA, 2020, pp. 226-229, doi: 10.1109/ICSC.2020.00047.