Dr. B.M.T. KumarikaSenior Lecturer (Grade II)
| Office Location | : | A7 401 |
| Telephone No | : | +94 (011) 2903 379 (ext: 379) | Email Address | : | thosini@kln.ac.lk |
| Office Hours | : | Wednesday 12.00 pm - 2.00 pm |
| Thursday 10.00 am - 12.00 pm | ||
| Google Scholar | Research Gate | ||
Research Interests
- Deep Graph Learning
- Advanced Machine Learning
- Computing in Medicine
- Deep Learning
- Machine Learning
- Artificial Intelligence
Publications
Full Papers - Refereed and Indexed Journals
Full Papers - Peer Reviewed Presentations at International/National Conferences:
Abstracts - Peer Reviewed Presentations at International/National Conferences:
- Thosini Bamunu Mudiyanselage, Xiujuan Lei, Nipuna Senanayake, Yanqing Zhang, and Yi Pan. "Predicting CircRNA disease associations using novel node classification and link prediction models on Graph Convolutional Networks." Methods 198 (2022): 32-44.
- Thosini Bamunu Mudiyanselage, Xueli Xiao, Yanqing Zhang, and Yi Pan. "Deep fuzzy neural networks for biomarker selection for accurate cancer detection." IEEE Transactions on Fuzzy Systems 28, no. 12 (2019): 3219-3228.
- Thosini Bamunu Mudiyanselage and Y. Zhang, "Feature selection with graph mining technology," in Big Data Mining and Analytics, vol. 2, no. 2, pp. 73-82, June 2019. doi: 10.26599/BDMA.2018.9020032
- Xiujuan Lei, Thosini Bamunu Mudiyanselage, Yuchen Zhang, Chen Bian, Wei Lan, Ning Yu, and Yi Pan. "A comprehensive survey on computational methods of non coding RNA and disease association prediction." Briefings in Bioinformatics (2020).
- Chunyan Ji, Thosini Bamunu Mudiyanselage, Yutong Gao, and Yi Pan. "A review of infant cry analysis and classification." EURASIP Journal on Audio, Speech, and Music Processing 2021, no. 1 (2021): 1-17.
- Gunathilaka, Hiruni, Rumesh Rajapaksha, Thosini Kumarika, Dinusha Perera, Uditha Herath, Charith Jayathilaka, Janitha Liyanage, and Sudath Kalingamudali. 2024. "Non-Invasive Diagnostic Approach for Diabetes Using Pulse Wave Analysis and Deep Learning" Informatics 11, no. 3: 51. https://doi.org/10.3390/informatics11030051
Full Papers - Peer Reviewed Presentations at International/National Conferences:
- Thosini Bamunu Mudiyanselage, Xiujuan Lei, Nipuna Senanayake, Yanqing Zhang, and Yi Pan. "Graph Convolution Networks Using Message Passing and Multi Source Similarity Features for Predicting circRNA Disease Association." In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 343-348. IEEE, 2020.
- Thosini Bamunu Mudiyanselage and Y. Zhang, Graph based Feature Selection for Structured High Dimensional Data, Learning on Distributions, Functions, Graphs and Groups Workshop at NIPS 2017, Long Beach, CA , December, 2017.
- X. Xiao, Thosini Bamunu Mudiyanselage, C. Ji, J. Hu and Y. Pan, "Fast Deep Learning Training through Intelligently Freezing Layers," 2019 International Conference on Cybermatics, IEEE Smart Data (SmartData), Atlanta, GA, USA, 2019, pp. 1225-1232.
- B.M.T. Kumarika and N.G.J. Dias, 2014, Extending Browser Capabilities to Share Browsing Information between different Browser Types and Computers, Proceedings of the International Conference on Computational Intelligence and Information Technology (CIIT 2014), Mumbai, India and Computer Application and Signal Processing 2014, ISBN: 978-981-09-2578-9, doi: 10.3850/978-981-09-1137-9_P005. Pages 37-46.
- B.M.T. Kumarika and N.G.J. Dias, 2014, Smart Web Content Bookmarking with ANN Based Key Phrase Extraction Algorithm, Proceedings of the 14th International Conference on Advances in ICT for Emerging Regions, ISBN: 978-1-4799-7731-4, doi: 10.1109/ICTER.2014.7083906, p228-234.
Abstracts - Peer Reviewed Presentations at International/National Conferences:
- Thosini Bamunu Mudiyanselage, Y. Zhang and Y. Pan, “Relevant Gene Recognition for Cancer Detection”, the Second Symposium on Machine Learning in Science and Engineering (MLSE 2019), Atlanta, June 9 - 12, 2019.
- Thosini Bamunu Mudiyanselage, Y. Zhang and Y. Pan, “Accurate Cancer Detection by Discovering Meaningful Structures in Gene Data and Using Deep Fuzzy Neural Networks,” 2019 NeurIPS Workshop on Learning Meaningful Representations of Life at the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Dec. 14, 2019.
- B. M. T. Kumarika and N.G.J. Dias, 2014, Web Content Bookmarking Tool with Automatically Generated Titles, Annual Research Symposium 2014, FGS - University of Kelaniya, p 142 - 143.
- B. M. T. Kumarika and N.G.J. Dias, Deep Unsupervised Pre-trained Neural Network for Human Gesture Recognition, Proceedings of International Postgraduate Research Conference 2015, University of Kelaniya, December, 2015, p178.
- P. A. D. H. J. Gunathilaka, B. M. T. Kumarika, K. M. D. C. Jayathilaka, D. Perera D., J.A. Liyanage, S. R. D. Kalingamudali, Unlocking the potential of convolutional neural networks for precise classification of finger pulse waves in diabetic patients and healthy individuals., Proceedings of the International Conference on Applied and Pure Sciences (ICAPS 2023) Volume 3, Faculty of Science, University of Kelaniya, 2023, P 155.
- J. D. K. N. Perera, B. M. T. Kumarika, Real-time system for place recognition by interpreting Sri Lankan sign language into text using machine learning approach., Proceedings of the International Conference on Applied and Pure Sciences (ICAPS 2023) Volume 3, Faculty of Science, University of Kelaniya, 2023, P 118.
Awards
- Senate Honours for conducting high quality research and publishing in indexed journals, from the University of Kelaniya, Sri Lanka (2022).
- Molecular Basis of Disease Research Fellowship, Georgia State University, Atlanta, USA (2018-2021).
- Computing Research Association Grad Cohort for Women – participation scholarship, Chicago, Illinois, USA (2019).
- Gold Medal for the best performance in Computer Science at the Bachelor of Science (Special) Degree Examinations - 2014, University of Kelaniya, Sri Lanka (2014).