Staff Profile

• Chairman, Research Committee, Faculty of Applied Science, 2019 to date
• Chairman, Handbook Committee, Faculty of Applied Science, 2019 to date
• Coordinator, Auxiliary Course Units, Faculty of Applied Science, 2018 -2020
• Activity Coordinator, AHEAD Project, Faculty of Applied Science. 2019 to date
• Member, Curriculum Evaluation Committee, University of Jaffna, 2020 to date
• Academic Advisor- Faculty of Applied Science, 2018 to date.
• Member-Program Review – 2019 to date.
• Member of the Senate of the University of Jaffna, June 2019 to date
• Senior Treasurer, Faculty of Applied Science Student’s Union. 2018 to 2020
• Senior Treasurer, ICTCS, Department of Physical Science, 2019 to 2020
• Member of IT Committee, Vavuniya Campus, 2016-to date
• Member of the Faculty level Curriculum Evaluation Committee, Faculty of Applied Science, 2017 to date
• Member, Vavuniya Campus Research Symposium -2017
• Editor, Proceedings of Vavuniya Campus Research Symposium -2017
• Member – Vavuniya Campus Newsletter 2016-2017
• Chairman- Vanni Career Fair – 2016, Vavuniya Campus, 2016
• Coordinator – Career Guidance Unit, Vavuniya Campus, 2016-2017
• Chairman, Technical Evaluation Committee for “MS Project 2016” Software, Vavuniya Campus, 2017
• Inquiry Officer – Vavuniya Campus, 2017.

Undergraduate Teaching

• Introduction to Programming
• Database Systems
• Computer Security
• Software Engineering
• Computer Graphics
• Graph Theory
• Research Methodology and Scientific Writing
• Advance Database System
• Parallel Computing
• Digital Image Processing
• Cryptography

Reviewer

MICCAI-2019 MICCAI-2020

Journals

1. Srivishagan S, Perera AAI, Hojjat A, Ratnarajah N. Brain Network Measures for Groups of Nodes: Application to Normal Aging and Alzheimer’s Disease.Brain Connect. 2020;10(6):316-327. doi:10.1089/brain.2020.0747
2. Poh JS, Li Y, Ratnarajah N, Fortier MV, Chong YS, Kwek K, Saw SM, Gluckman PD, Meaney MJ, Qiu A. Developmental synchrony of thalamocortical circuits in the neonatal brain. 2015 Aug 1; 116:168-176.
3. Lee A, Ratnarajah N, Tuan TA, Chen SH, Qiu A. Adaptation of brain functional and structural networks in aging. PLoS One. 2015 Apr 15; 10(4):e0123462.
4. Ratnarajah N, Qiu A. Multi-Label Segmentation White Matter Structures: Application to Neonatal Brains. Neuroimage, 2014 Nov 15. 102, Part 2, 913–922.
5. Jin Thong JY, Du J, Ratnarajah N, Dong Y, Soon HW, Saini M, Tan MZ, Tuan Ta A, Chen C, Qiu A. Abnormalities of cortical thickness, subcortical shapes, and white matter integrity in subcortical vascular cognitive impairment. Hum Brain Mapping. 2014 May. 35 (5), 2320-2332.
6. Ratnarajah N, Rifkin-Graboi A, Fortier MV, Chong YS, Kwek K, Saw SM, Godfrey KM, Gluckman PD, Meaney MJ, Qiu Structural connectivity asymmetry in the neonatal brain. Neuroimage .2013 Jul. 75, 187-194.
7. Ratnarajah N, Simmons A, Bertoni M, Hojjatoleslami A. Two-Tensor Model-Based Bootstrapping on Classified Tensor Morphologies: Estimation of Uncertainty in Fibre Orientation and Probabilistic Tractography, Magnetic Resonance Imaging. 2013 Feb. 31(2), 296-312.
8. Ratnarajah, N, Simmons A, Davydov O, and Hojjatoleslami A, A Novel Approach for Improved Tractography and Quantitative Analysis of Probabilistic Fibre Tracking Curves. Medical Image Analysis. 2012 Jan. 16(1), 227-238.
9. Bertoni MA, Sakel M, Hojjattoleslami A, Bertoni IV, Ratnarajah N. Neuroimaging assessment of spasticity developed after acquired brain injuries and multiple sclerosis. Neuroradiol J. 2012 Jul. 25(3), 311-317.

MICCAI

1. Ratnarajah, N, Simmons, A, and Hojjatoleslami, A. Probabilistic Clustering and Shape Modelling of White Matter Fibre Bundles using Regression Mixtures. MICCAI, 2011; 14 (Pt 2); LNCS 6892, 25-32.
2. Ratnarajah, N, Simmons, A, Davydov, O and Hojjatoleslami, A. A Novel White Matter Fibre Tracking Algorithm using Probabilistic Tractography and Average Curves. MICCAI, 2010, Part I, LNCS 6361, 666-673.

Conferences

1. Logiraj, K., Kokul, T., Sotheeswaran, S., Nagulan, R. , “TractNet: A Deep Learning Approach on 3D Curves for Segmenting White Matter Fibre Bundles” IEEE 21st International Conference on Advances in ICT for Emerging Regions (ICTer), Sri Lanka. 2021.
2. Subaramya, S., Kokul, T., Nagulan, R., and Pinidiyaarachchi, U.A.J. : “Detection of Alzheimer’s Disease Using Structural Brain Network and Convolutional Neural Network” IEEE 10th International Conference on Information & Automation for Sustainability (ICIAFS), Sri Lanka. 2021.
3. Sittampalam and N. Ratnarajah, “Enhanced Symmetric Cryptography for IoT using Novel Random Secret Key Approach,” 2020 2nd International Conference on Advancements in Computing (ICAC), Malabe, Sri Lanka, 2020, pp. 398-403, doi: 10.1109/ICAC51239.2020.9357316.
4. Palanisamy, V. Thiruchenthooran, S. N. Surendran and N. Ratnarajah, “Algorithms for Automatic Identification and Analysis of Sri Lankan Anopheles Mosquito Species,” 2020 2nd International Conference on Advancements in Computing (ICAC), Malabe, Sri Lanka, 2020, pp. 452-457, doi: 10.1109/ICAC51239.2020.9357228.
5. T. Pathirana, S. Sotheeswaran and N. Ratnarajah, “Efficient Parallel GCD Algorithms for Multicore Shared Memory Architectures,” 2020, IEEE, 20th International Conference on Advances in ICT for Emerging Regions (ICTer), Colombo, Sri Lanka, 2020, pp. 272-273, doi: 10.1109/ICTer51097.2020.9325430.
6. Sittampalam and N. Ratnarajah, SAMS: An IoT Solution for Attendance Management in Universities, TENCON 2019 – 2019 IEEE Region 10 Conference (TENCON), Kochi, India, 2019, pp. 251-256. doi: 10.1109/TENCON.2019.8929616
7. PM Kumarage, B Yogarajah, N Ratnarajah, Efficient Feature Selection for Prediction of Diabetic Using LASSO, IEEE International Conference on Advances in ICT for Emerging Regions, Colombo, pp 1-7. 2019. DOI: 1109/ICTer48817.2019.9023720
8. K Ganeshamoorthy, N Ratnarajah, On the Performance of Parallel Back-Propagation Neural Network Implementations Using CUDA, CATA 2017, Honolulu, Hawaii, USA.
9. Ratnarajah, N, Simmons, A, and Hojjatoleslami, A. Two-Tensor Model-Based Bootstrapping on Classified Tensor Morphologies: Estimation of Uncertainty in Fibre Orientation and Probabilistic Tractography. CDMRI, MICCAI, Toronto, Canada, 2011.
10. Ratnarajah, N, Simmons, A, and Hojjatoleslami, A. Probabilistic Clustering of White Matter Fibre Bundles using Regression Mixtures.Medical Image Understanding and Analysis Proceedings, London, 251-255, 2011.
11. Ratnarajah, N, Simmons, A, and Hojjatoleslami, A. Residual Bootstrapping on Classified Tensor Morphologies using Constrained Two-Tensor Model. Medical Image Understanding and Analysis Proceedings, London, 87-91, 2011.
12. Ratnarajah, N, Simmons, A, and Hojjatoleslami, A. Two-Tensor Residual Bootstrapping on Classified Tensor Morphologies. In Proc. ISMRM 19th Annual Meeting, p.4207, Montréal, Québec, Canada, May 2011.
13. Ratnarajah, N, Simmons, A, Colchester, A and Hojjatoleslami, A. Resolving complex fibre configurations using two-tensor random-walk stochastic algorithms. Proc. SPIE Medical Imaging, 79620R, Florida, USA. https://doi.org/10.1117/12.878065
14. Ratnarajah, N, Simmons, A, and Hojjatoleslami, A. A Novel Average Curves Tractography Technique – Validation Using a Physical Phantom. In Proc. Joint Annual Meeting ISMRM-ESMRMB, p. 4014, Stockholm, Sweden, 2010.
15. Ratnarajah, N, Simmons, A, Davydov, O and Hojjatoleslami, A. An error analysis of probabilistic fibre tracking methods: average curves optimization. Medical Image Understanding and Analysis, London, 134-138, 2009.
16. Ratnarajah, N, Simmons, A, and Hojjatoleslami, A. Stochastic Fibre Tracking: An Average Curves Approach. In Proc. ISMRM 17th Annual Meeting, p.1436, Honolulu, Hawaii, USA, 2009.
17. Ratnarajah, N, Simmons, A, and Hojjatoleslami, A. Stochastic Two-tensor Fibre Tractography. Medical Image Understanding and Analysis Proceedings, Dundee, UK. 194-198, 2008.