Publications

2025
  • Janani, K., Kokul, T., Ramanan, A. and Fernando, S.: “Selective Information Flow for Transformer Tracking”, Expert Systems with Applications, Elsevier, vol. 259, p. 125381, 2025, ISSN: 0957-4174, DOI: https://doi.org/10.1016/j.eswa.2024.125381.
2024
  • Awarjana, P., Samantha Tharani, J., Muthukkumarasamy, V.: “Topographic Attribute Map-based Visualisation to Uncover Behaviour Patterns in Blockchain Networks”, In 8th Symposium on Distributed Ledger Technology (SDLT-24) held in Brisbane, Australia on 28-29 November 2024.
  • Samantha Tharani, J., Hóu, Z., Charles, E.Y. A., Rathore, P., Palaniswami, V., and Muthukkumarasamy, V.: “Unified Feature Engineering for Detection of Malicious Entities in Blockchain Networks”, in IEEE Transactions on Information Forensics and Security, vol. 19, pp. 8924-8938, doi: 10.1109/TIFS.2024.3412421, 2024.
  • Archchitha, A. and Charles, E.Y.A.: “Exploring Recent NLP Advances for Tamil: Word Vectors and Hybrid Deep Learning Architectures”, In International Journal on Advances in ICT for Emerging Regions, 17 (2), 2024.
  • Pabasara, S., and Kokul, T., “A Period Prediction System for Sinhala Epigraphical Scripts using Ensemble CNNs and Attention Modules” ECTI Transactions on Computer and Information Technology (ECTI-CIT), vol.18, no.04, pp-555-567, 2024. doi: 10.37936/ecti-cit.2024184.256931.
  • Mayuravaani, M., Ramanan, A., Perera, M., Senanayake, D. and Vidanaarachchi, R.: “Insights into Artificial Intelligence Bias: Implications for Agriculture”, Digital Society (DISO), vol. 3, 38, Springer, 2024.https://doi.org/10.1007/s44206-024-00142-x
  • Anparasy, S., Punithakumar, K., Kokul, T., Michelle, N., Rui, Z., Dean, T., Edmond, H.M., and Lawrence, H.: “A Lightweight Ultrasound Image Denoiser Using Parallel Attention Modules and Capsule Generative Adversarial Network”, In Informatics in Medicine Unlocked, Elsevier, Volume 50, pp. 101569, August 2024. https://doi.org/10.1016/j.imu.2024.101569
  • Janani, K., Kokul, T., Ramanan, A. and Fernando, S.: “Transformer Tracking Using Spatiotemporal Features”, IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET 2024), pp. 524-529, Kota Kinabalu, Malaysia, August 2024, doi: 10.1109/IICAIET62352.2024.10730668.
  • Ann Sinthusha A. V., Charles E. Y. A, Weerasinghe A. R., Machine Reading Comprehension for Tamil with Tamil Short Story MRC dataset, 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE), Sri Lanka, April 2024.
  • Pabasara, S., Keerthiha, K., Papiththira, S., and Kokul, T., “From Facial Alterations to Health Insights: Ensemble CNNs in Disease Diagnosis” IEEE International Conference on Smart Computing and Systems Engineering(SCSE), Sri Lanka, April 2024 [Accepted]
  • Manivannan, S.: “Pseudo-labeling and clustering-based active learning for imbalanced classification of wafer bin map defects”, Signal, Image and Video Processing (SIViP), Springer, 18, pp. 2391–2401, 2024. https://doi.org/10.1007/s11760-023-02915-2
  • Manivannan, S., Semi-supervised imbalanced classification of wafer bin map defects using a Dual-Head CNN, Expert Systems with Applications, Volume 238 (Part F), pp. 122301, 2024, DOI:10.1016/j.eswa.2023.122301
2023
  • Samantha Tharani, J., E.Y. A. Charles, Hóu, Z., Muthukkumarasamy, V. (2024). Detecting Malicious Blockchain Transactions Using Graph Neural Networks. In: Dong, N., Pillai, B., Bai, G., Utting, M. (eds) Distributed Ledger Technology. SDLT 2023. Communications in Computer and Information Science, vol 1975. Springer, Singapore. https://doi.org/10.1007/978-981-97-0006-6_4
  • N Ampihaipahan, E.Y. A. Charles, T Kalamany, “Perception towards the use of ICT in learning mathematics (A study based on selected secondary schools of Jaffna district)”, Kalam, Volume 16, Issue 2, PP 243-257, 2023
  • Pabasara, S., Pasan, H., and Kokul, T., “An Efficient Real-Time Air Drumming Approach Using MediaPipe Hand Gesture Model” IEEE 5th International Conference on Advancements in Computing 2023 (ICAC 2023), Sri Lanka, December 2023 [Accepted]
  • Pabasara, S., Papiththira, S., and Kokul, T., “Detection and Visualization of Neglected Tropical Skin Diseases using EfficientNet and Grad-CAM” IEEE 5th International Conference on Advancements in Computing 2023 (ICAC 2023), Sri Lanka, December 2023 [Accepted]
  • Shajini, M. and Ramanan, A.: “A Single-stage Fashion Clothing Detection Using Multilevel Visual Attention”, The Visual Computer, vol. 39, pp. 6609-6623, Springer, December 2023. https://doi.org/10.1007/s00371-022-02751-4
  • Leong, W. Q., Ngui, J. G., Susanto, Y., Rengarajan, H., Sarveswaran, K., & Tjhi, W. C. (2023). BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models. arXiv preprint arXiv:2309.06085.
  • Kalpana, C., Mahesan, S. and Bath, P.A. (2023). “Integrated Surveillance Model for Improving Completeness of Notifiable Disease Surveillance in Jaffna, Sri Lanka”, in Book “Current Innovations in Disease and Health Research”, edited by Erich Cosmi, Vol. 5, B.P. International India, United Kingdom. 10.9734/bpi/cidhr/v5/5927B.
  • Subaramya, S., Nagulan, R., Kokul, T., A., Pinidiyaarachchi, U.A.J., “Exploring Asymmetrical White Matter Abnormalities in Alzheimer’s Using Deep Learning” IEEE 9th International Conference on Moratuwa Engineering Research Conference 2023 (MERCon 2023), Sri Lanka, November 2023 [Accepted]
  • Ehsan, T., Tehseen, A., Sarveswaran, K., & Ali, A. (2023, September). AlphaBrains@ DravidianLangTech: Sentiment Analysis of Code-Mixed Tamil and Tulu by Training Contextualized ELMo Word Representations. In Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages (pp. 152-159).
  • Janani, K., Kokul, T., Ramanan, A. and Fernando, S.: “Transformers in Single Object Tracking: An Experimental Survey”, IEEE Access, vol. 11, pp. 80297-80326, July 2023. DOI: 10.1109/ACCESS.2023.3298440
  • Samantha Tharani, J., Ryan Ko and Muthukkumarasamy, V.: “A Framework for User-Centric Visualisation of Blockchain Transactions in Critical Infrastructure”, 5th ACM International Workshop on Blockchain and Secure Critical Infrastructure (BSCI), Melbourne, Australia, July 2023 [Accepted].
  • Pillai, B., Samantha Tharani, J., Hóu, Z., Biswas, K. and Muthukkumarasamy, V. (2023). “Introduction to Blockchain Technology with Bitcoin Protocol”, In Book “Emerging Smart Technologies for Critical Infrastructure, Smart Sensors, Measurement, and Instrumentation”, edited by Pal, S., Jadidi, Z., Foo, E., Mukhopadhyay, S.C., vol 44. Springer, Cham. June 2023. https://doi.org/10.1007/978-3-031-29845-5_6
  • Ketheeswaren, S., Charles, E. Y. A. and Chandraassekar, K.: Feasibility of Implementing a Metadata Service for Cataloguing in Tamil, Sri Lanka Library Review, June 2023
  • Liyanage, C., Sarveswaran, K., Nadungodage, T., and Pushpananda, R.: Sinhala Dependency Treebank (STB). In Proceedings of the Sixth Workshop on Universal Dependencies (UDW, GURT/SyntaxFest 2023), pp. 17-26, March 2023. 
  • Pabasara, S., and Kokul, T.: “An Efficient Knock Code Decoding Approach to Assist the People with Communication Impairments”, In IEEE International Conference on Advanced Research in Computing (ICARC’23), February 2023. [Accepted].
  • Sarveswaran, K. and Mahesan, S.: Codification of Navalar’s Tamil Grammar. In Proceedings of the first International Conference on Social Sciences and Languages (ICSSL 2023), pp. 291-295, January 2023.
2022
  • Subaramya, S., Logiraj, K., Kokul, T., Pinidiyaarachchi, U.A.J., and Nagulan, R., “Discriminative Patterns of White Matter Changes in Alzheimer’s” Psychiatry Research: Neuroimaging, Elsevier, 2022. doi: 10.1016/j.pscychresns.2022.111576
  • Rajeetha, T., and Kokul, T., “Gender and Age Estimation from Facial Images using Deep Learning”, In 7th IEEE International Conference on Information Technology Research (ICITR 2022), Sri Lanka, 07 – 09 December 2022. DOI: 10.1109/ICITR57877.2022.9993277
  • Anparasy, S., and Kokul, T., “A Dual CNN Architecture for Single Image Raindrop and Rain Streak Removal”, In 7th IEEE International Conference on Information Technology Research (ICITR 2022), Sri Lanka, 07 – 09 December 2022. DOI: 10.1109/ICITR57877.2022.9993091
  • Archchitha, A. and Charles, E.Y.A., “Tamil Author Identification Using Convolutional Neural Network”, In IEEE International Conference on Advances in ICT for Emerging Regions (ICTer), Colombo, Sri Lanka, December 2022. [Accepted]
  • Subaramya, S., Kokul, T., Nagulan, R., A., Pinidiyaarachchi, U.A.J., “Graph Neural Network based Alzheimer’s Disease Classification using Structural Brain Network” IEEE 22nd International Conference on Advances in ICT for Emerging Regions (ICTer), Sri Lanka, December 2022 [Accepted]
  • Samantha Tharani, J., Dorottya Zelenyanszki and Muthukkumarasamy, V.: “A UI/UX Evaluation Framework for Blockchain Applications”, In International Conference on Blockchain (ICBC) of Services Conference Federation (SCF), Hawaii, USA, December 2022. [Accepted]
  • Ranasinghe, N., Ramanan, A., Fernando, S., Hameed, P.N., Herath, D., Malepathirana, T., Suganthan, P., Niranjan, M., and Halgamuge, S.: “Interpretability and Accessibility of Machine Learning in Selected Food Processing, Agriculture and Health Applications”, Journal of the National Science Foundation of Sri Lanka, 50, pp.263–276. DOI: http://doi.org/10.4038/jnsfsr.v50i0.11249
  • Subaramya, S., Kokul, T., Nagulan, R., A., Pinidiyaarachchi, U.A.J., “Deep Learning Based Detection and Analysis of Alzheimer’s on Structural Connectomes” In Proceedings of the Postgraduate Institute of Science Research Congress (RESCON), University of Peradeniya, October 2022. [Accepted]
  • Manivannan, S.: “An ensemble-based deep semi-supervised learning for the classification of Wafer Bin Maps defect patterns”, Computers & Industrial Engineering, Elsevier, 2022. doi: 10.1016/j.cie.2022.108614
  • Manivannan, S.: “Automatic Quality Inspection in Additive Manufacturing using Semi-Supervised Deep Learning”, Journal of Intelligent Manufacturing, Springer, August 2022. doi: 10.1007/s10845-022-02000-4
  • Nirthika, R., Manivannan, S. and Ramanan, A.: “Siamese Network based Fine Grained Classification for Diabetic Retinopathy Grading”, Biomedical Signal Processing and Control, vol. 78, Elsevier, September 2022. doi.org/10.1016/j.bspc.2022.103874.
  • Logiraj, K., Kokul, T., Sotheeswaran, S., Nagulan, R. , “Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points”, In 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, 18 – 22 September 2022. DOI: 10.1007/978-3-031-16431-6_18
  • Nickson, J.A.J. and Suthakar, S.: “Path-finding and Planning in a 3D Environment: An Analysis Using Bidirectional Versions of Dijkstra’s, Weighted A*, and Greedy Best First Search Algorithms”, In “IEEE 2nd Asian Conference on Innovation in Technology (ASAINCON 2022), Pune, India, 26 – 28 August 2022. [Accepted]
  • Parameswari K. and Sarveswaran K..: “Towards Building a Modern Written Tamil Treebank”,  In Proceedings of the 20th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2021), Sofia, March 21-25, 2022. ACL.  [Accepted]
  • Nirthika, R., Manivannan, S., Ramanan, A. and Wang, R.: “Pooling in convolutional neural networks for medical image analysis: A survey and an empirical study”, Neural Computing and Applications, Springer, pp.1-27, 2022. doi: 10.1007/s00521-022-06953-8.
  • Dushmantha Adikari, A.A.C. and Thabotharan, K.: “A Hop-count and Neighbor-count based Routing Protocol for Flying Ad-hoc Networks ”, In International Conference on Advanced Research in Computing (ICARC’22), pp. 296-301, February 2022. doi: 10.1109/ICARC54489.2022.9753801.
  • Anparasy, S., Priyadarshani, A.H.R., Kokul, T., and Ramanan, A.: “Underwater Image Enhancement Using Dual Convolutional Neural Network with Skip Connections”, In International Conference on Advanced Research in Computing (ICARC’22), pp. 224-229, February 2022. doi: 10.1109/ICARC54489.2022.9753886.
2021
  • Dineskumar M., Anankan R., Sarveswaran K., and Dias G.: “Neural-based Tamil Grammar Error Detection” In Proceedings of the Workshop on Parsing and its Applications for Indian Languages – 2021 (PAIL 2021), ACL, December 16, 2021.
  • Sarveswaran, K. and Dias, G., “Building a Part of Speech tagger for the Tamil Language,” 2021 International Conference on Asian Language Processing (IALP), December 2021, pp. 286-291, doi: 10.1109/IALP54817.2021.9675195.
  • Senthan, R., Charles, E.Y.A., and Kodituwakku, S.R.: “Regular Expressions based SQL Injection Detection”, Vavuniya University International Research Conference, 2021.
  • Shajini, M. and Ramanan, A.: “A Multi-staged Feature-Attentive Network for Fashion Clothing Classification and Attribute Prediction”, Electronic Letters on Computer Vision and Image Analysis (ELCVIA), vol. 20, issue 2, pp. 83-100, CVC Press, Spain, December 2021. https://doi.org/10.5565/rev/elcvia.1409.
  • Abiram, K. and Thabotharan, K.: “Congestion avoidance in data communication networks using software defined networking”, in Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies (CoNEXT’21), pp. 463–464, Germany, December 2021. https://doi.org/10.1145/3485983.3493343
  • Vinoharan, V. and Ramanan, A.: “An Efficient Bag-of-Features Representation for Object Classification”, Electronic Letters on Computer Vision and Image Analysis (ELCVIA), vol. 20, issue 2, pp. 51-68, CVC Press, Spain, October 2021. https://doi.org/10.5565/rev/elcvia.1403
  • Samantha Tharani, J., Charles, E.Y.A., Hóu, Z., Palaniswami, M. and Muthukkumarasamy, V.: “Graph Based Visualisation Techniques for Analysis of Blockchain Transactions”, In IEEE 46th Conference on Local Computer Networks (LCN), pp. 427-430, doi:10.1109/LCN52139.2021.9524878, 2021.
  • Leenas, T. and Shriparen, S.: “Comparison of Proactive, Reactive, and Hybrid Routing Protocols in Mobile Ad Hoc Networks”, In proceedings of the 10th IEEE International Conference on Information and Automation for Sustainability (ICIAfS), Negombo, Sri Lanka, pp. 36-41, August 2021. doi: 10.1109/ICIAfS52090.2021.9605835.
  • Sakuntharaj, R. and Mahesan, S.: “Missing Word Detection and Correction Based on Context of Tamil Sentences Using N-Grams”, In proceedings of the 10th IEEE International Conference on Information and Automation for Sustainability (ICIAfS), Negombo, Sri Lanka, pp. 42-47, August 2021. doi: 10.1109/ICIAfS52090.2021.9606025.
  • Thavareesan. S., and Mahesan. S.: “Sentiment analysis in Tamil Texts using K-means and k-Nearest neighbour”, In proceedings of the 10th IEEE International Conference on Information and Automation for Sustainability (ICIAfS), Negombo, Sri Lanka, pp. 48-53, August 2021. doi: 10.1109/ICIAfS52090.2021.9605839.
  • Theevika, A. and Mayurathan, B.: “The Effect of Deep Learning and Machine Learning Approaches for Brain Tumor Recognition”, In proceedings of the 10th IEEE International Conference on Information and Automation for Sustainability (ICIAfS), Negombo, Sri Lanka, pp. 185-190, August 2021. doi: 10.1109/ICIAfS52090.2021.9605909.
  • Nirthika, R., Manivannan, S. and Ramanan, A.: “Look at Both Eyes: Deep Learning Based Feature Fusion Strategies for the Classification of Diabetic Retinopathy Lesions”, In proceedings of the 10th IEEE International Conference on Information and Automation for Sustainability (ICIAfS), Negombo, Sri Lanka, pp. 263-268, August 2021. doi: 10.1109/ICIAfS52090.2021.9605991.
  • Nirthika, R., Manivannan, S. and Ramanan, A.: “An Experimental Study on Convolutional Neural Network-Based Pooling Techniques for the Classification of HEp-2 Cell Images”, In proceedings of the 10th IEEE International Conference on Information and Automation for Sustainability (ICIAfS), Negombo, Sri Lanka, pp. 281-286, August 2021. doi: 10.1109/ICIAfS52090.2021.9606157
  • Mayuravaani, M., and Manivannan, S.: “A Semi-Supervised Deep Learning Approach for the Classification of Steel Surface Defects”, In proceedings of the 10th IEEE International Conference on Information and Automation for Sustainability (ICIAfS), Negombo, Sri Lanka, pp. 179-184, August 2021. doi: 10.1109/ICIAfS52090.2021.9606143.
  • Manivannan, S.: “A Semi-Supervised Deep Learning Approach for the Classification of Surface Defects in Wafer Bin Maps”, In Technological Advances in Science, Medicine and Engineering Conferences (TASME), 3-4 July 2021. [Accepted]
  • Sewmi Shayanara Herath, H.M. and Manivannan, S.: “Sentiment Analysis in Sinhala Texts using Convolutional Neural Networks”, 5th International Research Conference of Uva Wellassa University,1-2 July 2021. [Accepted]
  • Shajini, M. and Ramanan, A.: “A Knowledge-sharing Semi-supervised Approach for Fashion Clothes Classification and Attribute Prediction”, The Visual Computer, Springer, doi 10.1007/s00371-021-02178-3, June 2021.
  • Sarveswaran, K., Dias, G., and Butt, M.: “ThamizhiMorph: A morphological parser for the Tamil language”, Journal of Machine Translation, 35, pages 37–70, 2021.
  • Bandara D., and Mayurathan B.: ” Detection and Classification of Rice Plant diseases using Image Processing Techniques”, International Conference on Advanced Research in Computing, Sabaragamuwa University of Sri Lanka, 23 – 24 February, 2021. [Accepted]
2020
  • Manewa, R.M.A.H. and Mayurathan, B.: “Emotion Recognition and Discrimination of Facial Expressions using Convolutional Neural Networks”, In 8th IEEE R10 Humanitarian Technology Conference, Kuching, Malaysia, 1–3 December, 2020. [Accepted]
  • Thavareesan, S. and Mahesan, S.: “Word Embedding-Based Part of Speech Tagging in Tamil Texts.” In IEEE International Conference on Industrial and Information Systems (ICIIS), IIT Ropar, India, 26-28 November 2020. [Accepted]
  • Nirthika, R., Manivannan, S., and Ramanan, A.: “Loss functions for optimizing Kappa as the evaluation measure for classifying diabetic retinopathy and prostate cancer images”, In IEEE International Conference on Industrial and Information Systems (ICIIS), IIT Ropar, India, pp. 144-149, doi: 10.1109/ICIIS51140.2020.9342711, 26-28 November 2020.
  • Ketheeswaren, S., Charles, E.Y.A., and Chandrasekar, K.: “Qualifying title statements of library catalogue of the University of Jaffna”, In Proceedings of the 3rd Research Conference of Business Studies, October 2020.
  • Shajini, M. and Ramanan, A.: “An Improved Landmark-driven and Spatial-channel Attentive Convolutional Neural Network for Fashion Clothes Classification”, in The Visual Computer, Springer, doi 10.1007/s00371-020-01885-7, 2020.
  • Thavareesan S. and Mahesan S.: “Sentiment Lexicon Expansion Using Word2vec and fastText for Sentiment Prediction in Tamil Texts” in IEEE 6th International Multidisciplinary Engineering Research Conference (MERCon), 28-30 July 2020. [Accepted]
  • Shriparen, S., McKague, M., Foo, E., Ragel, R.G., Namal, S., and Jadidi, Z.: “Control Channel Denial-of-Service Attacks in SDN-based Networks”, in IEEE 6th International Multidisciplinary Engineering Research Conference (MERCon), 28-30 July 2020. [Accepted]
  • Samantha Tharani, J. and Nalin A.G. Arachchilage: “Understanding Phishers’ Strategies of Mimicking URLs to Leverage Phishing Attacks: A Machine Learning Approach”, Security Privacy, John Wiley & Sons, e120. doi:10.1002/spy2.120,  2020.
  • Samantha Tharani, J., Mukunthan, T., and Muthukkumarasamy, V.: “A Blockchain-based Database Management System”, In The Knowledge Engineering Review, 35, E20. doi:10.1017/S0269888920000302, Cambridge University Press, 18 May 2020.
  • Pasindu R. and Mayurathan B.: “Reconstructing an image from its spatial and geometrical Information”, In Proceedings of the 7th Ruhuna International Science & Technology Conference, University of Ruhuna, 22 January 2020.
  • Sakuntharaj R. and Mahesan S.: “Common Technique for Detecting and Correcting both non-word and real-word errors in Tamil Sentences”, Proceedings of the 7th Ruhuna International Science & Technology Conference (RISTCON-2020), University of Ruhuna, Matara, Sri Lanka, p. 47, (ISSN 1391 – 8796), 22 January 2020.
  • Thavareesan S. and Mahesan S.: “An improved k-NN algorithm using K-means and fastText to predict sentiments expressed in Tamil texts”, In Proceedings of the 7th Ruhuna International Science & Technology Conference (RISTCON), p. 63, January 22, 2020.
2019
  • Thavareesan S. and Mahesan, S.: “Sentiment Analysis in Tamil Texts: A Study on Machine Learning Techniques and Feature Representation”, In IEEE International Conference on Industrial and Information Systems (ICIIS), Peradeniya, Sri Lanka, pp. 320-325, 18-20 December 2019.
  • Fernando, T.T.D.M. and Thabotharan, K.: “A Community Based Routing Algorithm for Mobile Opportunistic Networks”, In IEEE International Conference on Industrial and Information Systems (ICIIS), Peradeniya, Sri Lanka, 18-20 December 2019. [Accepted]
  • Manivannan, S. and Kausik, M.: “Convolutional Neural Network and Feature Encoding for Predicting the Outcome of Cricket Matches”, In IEEE International Conference on Industrial and Information Systems (ICIIS), Peradeniya, Sri Lanka, 18-20 December 2019. [Accepted]
  • Kishotha, S. and Mayurathan, B.: “Machine Learning Approach to Improve Flower Classification Using Multiple Feature Set”, In IEEE International Conference on Industrial and Information Systems (ICIIS), Peradeniya, Sri Lanka, pp. 141-145, doi: 10.1109/ICIIS47346.2019.9063349, 18-20 December 2019.
  • Tharuka Chathurani, K.A. and Charles, E.Y.A.: “Deep Learning Approach to Detect Plagiarism in Sinhala Text”, In IEEE International Conference on Industrial and Information Systems (ICIIS), Peradeniya, Sri Lanka, 18-20 December 2019. [Accepted]
  • Keerthana, U., Kirshika, K., Senthaalan, T., Sarveswaran, K. and Dias, G.; DDSpell – A Data Driven Spell Checker and Suggestion Generator for the Tamil Language, In IEEE International Conference on Advances in ICT for Emerging Regions (ICTer), Colombo, Sri Lanka, 3-4 September 2019. [Accepted]
  • Zhang, R., Tan, S., Wang, R., Manivannan, S.,Lin, H., Chen, J., and Zheng, W.: “Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network”, In the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 13-17 October 2019. [Accepted]
  • Saranya, B. and Suthakar, S.:”Parallelizing Active Contour Model for Object Segmentation”, In Postgraduate Institute of Science Research Congress 2019, p.62, October 2019. 
  • Senthuja, K. and Mahesan, S.: “A Novel Approach of Voice Recognition Using MFCC and GMM, Speech Recognition and Text Recognition To Assist for Email Communication for Visually Impaired People”, In Postgraduate Institute of Science Research Congress 2019, p.51, October 2019.
  • Sabbir Hossain, MD.: “Solar Energy Forecasting with Machine Learning Approaches”, In Postgraduate Institute of Science Research Congress 2019, October 2019. [Abstract – Accepted]
  • Perera, A.S.A. and Ramanan, A. : “An Attention Based Convolutional Neural Network for Landmark Recognition in Asian Region”, In Postgraduate Institute of Science Research Congress 2019, p.33, October 2019.
  • Tharmini, T. and Ramanan, A. : “Action Recognition in Videos Using Convolutional and Spatial-Temporal Interest Point Features”, In Postgraduate Institute of Science Research Congress 2019, p.40,  October 2019.
  • Gunasekara, T.M.V.D. and Ramanan, A. : “A Lossy Grayscale Image Compression Based on Delaunay Triangulation”, In Postgraduate Institute of Science Research Congress 2019, p.42, October 2019.
  • Chathurani, K.A.T. and Charles, E.Y.A.: “Deep Learning Approach to Detect Plagiarism in Sinhala Text”, In Postgraduate Institute of Science Research Congress 2019, p.55, October 2019. 
  • Meruja, S. and Charles, E.Y.A.: “Analysis of Medical Sensor Data Towards Health Disorder Identification”, In Postgraduate Institute of Science Research Congress 2019, p.45, October 2019.
  • Archchitha, K. and Charles, E.Y.A.: “Opinion Spam Detection in Online Reviews Using Neural Networks”, In IEEE International Conference on Advances in ICT for Emerging Regions (ICTer), Colombo, Sri Lanka, 3-4 September 2019. [Accepted]
  • Suganya, S., and Charles, E.Y.A., ” Speech Emotion Recognition Using Deep Learning on audio recordings”, In IEEE International Conference on Advances in ICT for Emerging Regions (ICTer), Colombo, Sri Lanka, 3-4 September 2019. [Accepted]
  • Thavareesan S. and Mahesan, S.: “A Literature Review on Sentiment Analysis in Tamil Texts”, in Jaffna Science Association, Jaffna, Sri Lanka, August 2019. [Presented]
  • Sakuntharaj, R. and Mahesan, S.: “Novel POS Sub-tags for Detection and Correction of Grammatical Mistakes in Tamil Language”, in Jaffna Science Association, Jaffna, Sri Lanka, August 2019. [Presented]
  • Sarveswaran, K. and Miriam Butt: “Computational Challenges with Tamil Complex Predicates”, In the 24th International Lexical-Functional Grammar (LFG) Conference, Canberra, Australia, 8-10 July 2019. [Presented]
  • Kokul, T., Fookes, C., Sridharan, S., Ramanan, A., Pinidiyaarachchi, U.A.J.: “Target-Specific Siamese Attention Network for Real-time Object Tracking”, In IEEE Transactions on Information Forensics & Security, pp.1276 – 1289, doi: 10.1109/TIFS.2019.2935871, 2019.
  • Sakthuntharaj, R. and Mahesan, S, Detecting and Correcting grammatical mistakes due to subject-verb inconformity and conflicts in tense aspects in Tamil sentences Proceedings of the 6th Ruhuna International Science and Technology Conference, University of Ruhuna, Matara, ISSN:1391-8796, p.36, 2019
2018
  • Sakuntharaj, R. and Mahesan, S.: Detecting and Correcting real-word errors in Tamil sentences, Ruhuna Journal of Science, Vol.9(2): eISSN 2536-8400, pp.150-159, December 2018. [Available here]
  • Manivannan, S., Zhang, W. Li, J., Trucco, E. and McKenna, S. “Structure Prediction for Gland Segmentation with Hand-Crafted and Deep Convolutional Features”, In IEEE Transactions on Medical Imaging, volume 37, 2018. [PDF]
  • Bamini, T. and Mayurathan, B.: “Silhouette Image Classification Using Bag of Local Features”, In IEEE International Conference on Information and Automation for Sustainability (ICIAfS), pp. 1-5, 21-22 December, 2018. 
  • Sakuntharaj, S. and Mahsean, S.: “A Refined POS Tag Sequence Finder for Tamil Sentences”, In IEEE International Conference on Information and Automation for Sustainability (ICIAfS), pp. 1-6, 21-22 December, 2018.
  • Vinoharan, V. and Ramanan, A.: “One-pass Keypoint Selection to Construct Codebook for Patch-based Object Classification”, In IEEE International Conference on Information and Automation for Sustainability (ICIAfS), pp.1-6, 21-22 December, 2018. 
  • Kogilawanee, B. and Ramanan, A.: “An Augmented Approach for Recognising Sri Lankan Currency Notes”, In IEEE International Conference on Information and Automation for Sustainability (ICIAfS), pp.1-5,  21-22 December, 2018. 
  • Dimuthu Anuraj, S.P. and Charles, E.Y.A.: “A Hybrid Decision Tree for Printed Sinhala Character Recognition Using SVMs”, In IEEE International Conference on Information and Automation for Sustainability (ICIAfS), pp. 1-6, 21-22 December, 2018.
  • Vijayaratnam, E.N., Nawarathna, R.D. and Manivannan, S.: “Comparative Analysis of Different Features and Encoding Methods for Rice Image Classification”, In IEEE International Conference on Information and Automation for Sustainability (ICIAfS), pp. 1-5, 21-22 December, 2018. 
  • Mukunthan, T., Samantha Tharani, J., and Muthukkumarasamy, V.: “Blockchain based Database Management System for IoT Applications Connected with Cloud”, In Third Symposium on Distributed Ledger Technology (SDLT), Gold Coast, Australia, 12th November, 2018. [Accepted]
  • Senthan, R., Charles, E.Y.A. and Kodituwakku, S.R.: “Regular Expressions based approach to detect SQL Injections”, Proceedings of the Postgraduate Institute of Science Research Congress, Sri Lanka: 9th –10 th November 2018
  • Thushanthan, A. and Ramanan, A.: “Learning from Small Dataset to Build a Classification Model for Men’s Clothing”, International Research Symposium on Pure and Applied Sciences (IRSPAS), University of Kelaniya, 26 October 2018. [Accepted]
  • Kokul, T., Fookes, C., Sridharan, S., Ramanan, A., Pinidiyaarachchi, U.A.J.: “Deep Match Tracker: Classifying when dissimilar, similarity matching when not”, IEEE International Conference on Image Processing (ICIP), Athens, Greece, pp.2730-2734, 7-10 October 2018. 
  • Thabotharan, K. and Ranasinghe, N.: “Congestion-Aware Adaptive Routing for Opportunistic Networks”, in Opportunistic Networks: Mobility Models, Protocols, Security, and Privacy,   pp 117-131, June 2018.
  • Vinoharan, V. and Ramanan, A.: “Keypoints and Codewords Selection for Efficient Bag-of-Features Representation”, Advances in Intelligent Systems and Computing, vol 886, pp. 378-390, Springer, Cham, December 2018.
  • Sotheeswaran, S. and Ramanan, A.: “A Coarse-to-Fine Strategy for Vehicle Logo Recognition from Frontal-View Car Images“, Pattern Recognition and Image Analysis (PRIA), Vol. 28, No. 1, pp. 142–154, Pleiades, 2018.
  • Sakuntharaj. R. and Mahesan,S., Detecting and Correcting real-word errors in Tamil Sentences, In Proceedings of the 5th Ruhuna International Science and Technology Conference, p. 54, 15 Feb 2018.
2017
  • S.Manivannan, C.Cobb, S.Burgess and E.Trucco, Sub-Category Classifiers for Multiple-Instance Learning and its Application to Retinal Nerve Fiber Layer Visibility Classification, IEEE Transactions on Medical Imaging, 2017, 36(5):1140–1150 [PDF]
  • Chandrasekar, K., Mahesan, S. and Bath, P.A.: “Impact of Epidemiological Publications among Health Professionals in Disease Surveillance – Experience from Jaffna, Sri Lanka”, International Journal of Multidisciplinary Studies (IJMS), Vol. 4(2), pp: 23-33, 2017.
  • Sakuntharaj, R. and Mahesan, S.: “Use of a Novel Hash-Table for Speeding-up Suggestions for Misspelt Tamil Words,” In 12th IEEE International Conference on Industrial and Information Systems (ICIIS), 15-16 December, 2017. [Accepted]
  • Janani, T. and Ramanan, A.: “Feature Fusion for Efficient Object Classification Using Deep and Shallow Learning”, In International Journal of Machine Learning and Computing (IJMLC), vol. 7, no. 5, pp. 123-127, 2017
  • Shajini, M. and Ramanan, A.: “A Feature-Driven Hierarchical Classification Approach to Emotions in Speeches Using SVMs”, In 12th IEEE International Conference on Industrial and Information Systems (ICIIS), pp. 1-5, 15-16 December, 2017.
  • Indrajith, K., Naseer, M. and Sarveswaran, K: “SATS: A Computer Aided Translation Engine”, The Third International Conference on Linguistics in Sri Lanaka. p.92, Kelaniya, Sri Lanka, 21 November, 2017.
  • Kokul, T., Fookes, C., Sridharan, S., Ramanan, A. and Pinidiyaarachchi, U.A.J.: “Gate Connected Convolutional Neural Network for Object Tracking”, In IEEE International Conference on Image Processing (ICIP), pp. 2602-2606, Beijing, China, 17-20 September, 2017.
  • Preethiraj, R and Sarveswaran, K.: “Recognising Elders using Behavioural Biometrics”, In Proceedings of the Kelaniya International Conference on Advances in Computing and Technology, p.39, Kelaniya, Sri Lanka, 28 July, 2017.
  • Liyanaarachchi, K.L.P.P. and Charles, E.Y.A.: “Analysis of Road Traffic Accidents Using Data Mining”, In Proceedings of the Kelaniya International Conference on Advances in Computing and Technology, p.7, Kelaniya, Sri Lanka, 28 July, 2017.
  • Sakuntharaj, R. and Mahesan, S.: “Use of N-gram Technique with a Hash Table to Generate Suggestions for Tamil Misspelt Words,” in Jaffna Science Association, vol. 24, no. 01, p.12, Jaffna, Sri Lanka, May 2017.
  • Saahithyan, V. and Suthakar, S.: “Performance Analysis of Basic Image Processing Algorithms on GPU”, In Proceedings of the IEEE International Conference on Inventive Systems and Control (ICISC 2017), pp. 227-232, Coimbatore, India, 19-20 January, 2017.
2016
  • Nimishan, S. and Shriparen, S.: “A Machine Learning Approach to Improve the Performance of Web Proxy Cache Replacement”, In IEEE International Conference on Information and Automation for Sustainability (ICIAfS), Galle, Sri Lanka, 16-19 December 2016.
  • Sakuntharaj, R. and Mahesan, S. “A Novel Hybrid Approach to Detect and Correct Spelling in Tamil Text,” in 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS), Dec 2016, pp. 1–6.
  • Samaraweera, S.A.A.H. and Mayurathan, B.: “Recognition of Recaptured Images Using Physical Based Features”, In Second International Conference on Advances in Computer Science and Information Technology (ACSTY-2016), Chennai, India, 26-27 November 2016.
  • Suthakaran, A. and Charles, E.Y.A.: “Identifying the learning patterns of students using learning management system log”, In proceedings of the First International Research Conference on Emerging Knowledge for Sustainable Regional Development (TRInCo), p. 73, 14-15 September 2016.
  • Thushika, V. and Thabotharan, K.: “A lightweight tool for learning data structures using Android smartphones”, In proceedings of the First International Research Conference on Emerging Knowledge for Sustainable Regional Development (TRInCo), p. 74, 14-15 September 2016.
  • Kumaran, R. and Thabotharan, K.: “A Hop-count and Time based MANET Routing Protocol”, In IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Bangalore, India, 6-9 November 2016.
  • Miller, R. and Charles, E.Y.A.: “A Psychological based Analysis of Marketing Email Subject Lines”, In IEEE International Conference on Advances in ICT for Emerging Regions (ICTer), Negombo, Sri Lanka, 1-2 September 2016.
  • Ramalingam, A. and Suthakar, S.: “Estimating and Locating the Volumes of Multiple Primary Non-Small Cell Stage-I Bronchogenic Carcinomas from Medical Images Using Specially Devised Morphological Operations”, In Proceedings of the Second IEEE International Conference on Information Science (ICIS’16), pp. 56-61, Kerala, India, 12-13 August 2016.
  • Sakuntharaj, R. and Mahesan, S. “A Critical Review of Reported Works on Tamil Spell Checkers,” in Jaffna Science Association, vol. 23, no. 01, Jaffna, Sri Lanka, May 2016, p. 11.
  • Sriashalya, S. and Ramanan, A.: “Human Action Detection Using Space Time Interest Points”, Engineering Research Unit Symposium, University of Moratuwa, p. 134, 5-6 April 2016.
  • Nifras, M.I. and Sarveswaran, K.: “Consumer buying pattern analysis using an efficient approach”, In IEEE International Conference on Engineering & Technology (ICETECH), pp. 567-570, Coimbatore, India, 17-18 March 2016.
  • Biruntha, G. and Sarveswaran, K.: “Infant caretaker: A system to identify baby cry and entertain crying baby”, In IEEE International Conference on Engineering & Technology (ICETECH), pp. 576-579, Coimbatore, India, 17-18 March 2016.
  • Janarththanan, J. and Suthakar, S., “Diagnosing Leukaemia Based on Geometric Characteristics of Cells in Microscopic Blood Images”, In International Journal of Computing, Communication and Instrumentation Engineering (IJCCIE), vol. 3, issue 1, pp. 64-68, 2016.
  • Vinoharan, V. and Ramanan, A.: “Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?”, In Proceedings of the Fifth International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), pp. 193-198, Rome, Italy, 24-26 February 2016.
  • Gajapathy, K., Ramanan, A., Goodacre, S.L., Ramasamy, R. and Surendran, S.N.: “Bioinformatics for discriminating sibling species in insect vectors”, In Gene-Environment Interaction Analysis: Methods in Bioinformatics and Computational Biology, Eds. E. Anno et al., CRC Press, 250 pages, February 2016. [Book Chapter]
  • Janarththanan, J. and Suthakar, S., “A Fourier Transform Approach for the Diagnosis of Leukaemia”, In Proceedings of the International Conference on Electronics, Computer and Information Technology 2016 (ECIT’16), pp. 118-124, Kuala Lumpur, Malaysia, 5-6 January 2016.
2015
  • Mathialakan, T. and Mahesan, S.: “A Novel Approach of Implementing Radix Sort by Avoiding Zero Bits Based on Divide and Conquer Technique” , In International Journal of Computational Intelligence and Informatics, vol. 5: no. 3, pp. 221-228, December 2015.
  • Pratheeba, J., Charles, E.Y.A. and Atukorale, D.A.S.: “Ontology development for Sri Lankan Medicinal Plants”, In proceedings of the SLAAI Annual Conference 2015, Colombo, Sri Lanka, 29 December 2015.
  • Yasotha, R. and Charles, E.Y.A.: “Automated Text Document Categorization”, Seventh IEEE International Conference on Intelligent Computing and Information Systems, pp. 36-42, Cairo, Egypt, 12-14 December 2015.
  • Ramanan, M., Ramanan, A. and Charles, E.Y.A.: “A Preprocessing Method for Printed Tamil Documents: Skew Correction and Textual Classification”, Seventh IEEE International Conference on Intelligent Computing and Information Systems, pp. 495-500, Cairo, Egypt, 12-14 December 2015.
  • Kokul, T., Ramanan, A. and Pinidiyaarachchi, U.A.J.: “Online Multi-Person Tracking-by-Detection Method Using ACF and Particle Filter”, Seventh IEEE International Conference on Intelligent Computing and Information Systems, pp. 529-536, Cairo, Egypt, 12-14 December 2015.
  • Kirishanthy, T. and Ramanan, A.: “Creating Compact and Discriminative Visual Vocabularies using Visual Bits”, In Proceedings of the IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA), pp. 258-263, Adelaide, Australia, 23-25 November 2015.
  • Kobikrishna, P. and Ramanan, A.: “A Morphological and Gradient based Approach to Classify Plant Leaves Using Support Vector Machines”, In Proceedings of the Peradeniya University International Research Sessions (iPURSE), p. 280, Peradeniya, Sri Lanka, 5-6 November 2015.
  • Kalyani, Y. and Mahesan, S.: “Expert System for Guiding G.C.E A/L Students in Selecting Suitable University and Course After Completing G.C.E A/L” In Proceedings of the 33rd National Information Technology Conference (NITC), pp. 21-24, Colombo, Sri Lanka, 7-9 September 2015.
  • Achchuthan, Y. and Sarveswaran, K.: “Language Localisation of Tamil using Statistical Machine Translation”, In proceedings of the IEEE International Conference on Advances in ICT for Emerging Regions (ICTer), pp. 125-129, Colombo, Sri Lanka, 24-25 August 2015.
  • Sotheeswaran, S. and Ramanan, A.: “Front-view Car Detection using Vocabulary Voting and Mean-Shift Search”, In proceedings of the IEEE International Conference on Advances in ICT for Emerging Regions (ICTer), pp. 16-20, Colombo, Sri Lanka, 24-25 August 2015.
  • Ramanan, M., Ramanan, A. and Charles, E.Y.A.: “A Hybrid Decision Tree for Printed Tamil Character Recognition using SVMs”, In proceedings of the IEEE International Conference on Advances in ICT for Emerging Regions (ICTer), pp. 176-181, Colombo, Sri Lanka, 24-25 August 2015.
  • Thulasika, V. and Ramanan, A.: “Single Image Fog Removal based on Fusion Strategy”, In Proceedings of the Fifth International Conference on Digital Image Processing and Pattern Recognition (DPPR), pp. 115-123, Chennai, India, 25-26 July 2015.
  • Jananie, S. and Sarveswaran, K.: “Contextual Spell Checking for Tamil Language”, In proceedings of the 14th Tamil Internet Conference, pp. 379-383, Singapore, May 2015.
  • Mahesan, S.: “A Context-Free Grammar for IUPAC names of Hydrocarbons for developing a Syntactic Parser using Swi-Prolog”, In Proceedings of the Second Ruhuna International Science & Technology Conference, Matara, Sri Lanka, p. 70, 22-23 January 2015.
2014
  • Sarveswaran, K. and Mahesan, S.: “Hierarchical Tag-set for Rule-based Processing of Tamil Language”, International Journal of Multidisciplinary Studies (IJMS), Volume I, Issue II, pp. 67-74. 2014.
  • Sarveswaran, K. and Mahesan, S.: “Hierarchical Tag-set for Rule-based Processing of Tamil Language”, In proceeding of the International Conference on Multidisciplinary Approaches (iCMA), p. 115. 2014.
  • Thabotharan, K. and Ranasinghe, N.: “An Adaptive Routing Protocol with Congestion Avoidance for Opportunistic Networks”, In IEEE International Conference on Advances in ICT for Emerging Regions (ICTer2014), Colombo, Sri Lanka, 10-14 December 2014.
  • Charles, E.Y.A.: “An Efficient Discrete Model for Implementing Temporal Coding Spiking Neural Network”, IEEE International Conference on Advances in ICT for Emerging Regions (ICTer2014), Colombo, Sri Lanka, 10-14 December 2014.
  • Sotheeswaran, S. and Ramanan, A.: “A Classifier-Free Codebook-based Image Classification of Vehicle Logos”, In proceedings of the 9th IEEE International Conference on Industrial and Information Systems (ICIIS’14), Gwalior, India, pp. 87-91, 15-17 December 2014.
  • Ramanan, M., Ramanan, A. and Charles, E.Y.A.: “A Performance Comparison and Post-processing Error Correction Technique to OCRs for Printed Tamil Texts”, In proceedings of the 9th IEEE International Conference on Industrial and Information Systems (ICIIS’14), Gwalior, India, pp. 19-23, 15-17 December 2014.
  • Kesavan, Y. and Ramanan, A.: “One-Pass Clustering Superpixels”, In Proceedings of the Seventh IEEE International Conference on Information and Automation for Sustainability (ICIAfS’14), Colombo, Sri Lanka, 22-24 December, 2014. [Accepted]
  • Jananie, A. and Sarveswaran, K.: “Hybrid Approach for Spell Checking of Tamil Language”, PIn Proceedings of the Peradeniya University International Research Sessions (iPurse), Sri Lanka, Volume 18, p.401, 2014.
  • Jarachanthan, R. and Sarveswaran, K.: “A Systematic Approach for the Utilisation of Excess Hard Disk Memory of Personal Computers”, In Proceedings of the Peradeniya University International Research Sessions (iPurse), Sri Lanka, Volume 18, p.402, 2014.
  • Kayathiri, K., Charles, E.Y.A. and Surendran, S.N.: “E-waste Generation and Management Practices in Jaffna and Nallur Divisional Secretariat Divisions, Sri Lanka – A base line study”, In Proceedings of the International Symposium on ICT for Environmental Sustainability (ICTES2014), 23-25 June 2014, University of Kelaniya, Sri Lanka.
  • Shakila, S. and Sarveswaran, K.: “A Hierarchical Approach for Publishing an Electronic Calendar”, In Proceedings of the 21st Annual Sessions, Jaffna Science Association (JSA), Jaffna, p. 25, 2014.
  • Venugoban, K. and Ramanan, A.: “Image Classification of Paddy Field Insect Pests using Gradient-based Features”, International Journal of Machine Learning and Computing (IJMLC), Vol. 4, No. 1, pp. 1-5, 2014.
2013
  • Mayurathan, B., Pinidiyaarachchi, U.A. J. and Niranjan, M.: Compact Codebook Design for Visual Scene Recognition by Sequential Input Space Carving, BMVA Summer School, July 08 – 12, 2013
  • Mayurathan, B., Pinidiyaarachchi, U.A. J. and Niranjan, M.: Compact Codebook Design For Visual Scene Recognition By Sequential Input Space Carving, IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, doi: 10.1109/MLSP.2013.6661992, September, 2013
  • Mayurathan, B., Ramanan, A., Mahesan, S., and Pinidiyaarachchi, U.A.J.: “Speeded-up and Compact Visual Codebook for Object Recognition”, International Journal of Image Processing (IJIP), vol. 7, Issue 1, pp. 31-50, 2013.
  • Rukshan, A., Prashanthi, R. and Mahesan, S.: “Natural Language Web Interface for Database (NLWIDB)”, In Proceedings of the Third International Symposium, SEUSL, Oluvil, Sri Lanka, 6-7 July 2013.
2012
  • Thabotharan, K. and Nalin, R.: “Self Similarity and Predictability of Contact Opportunities in Opportunistic Networks”, In Proceedings of the 18th IEEE International Conference on Networks (ICON), 12-14 December, Singapore, 2012.
  • Vinoharan, V., Ramanan, A. and Kodituwakku, S. R.: “A Wheel-based Side-view Car Detection using Snake Algorithm”, In Proceedings of the Sixth IEEE International Conference on Information and Automation for Sustainability (ICIAfS’12), pp. 185-189, Beijing, China, 27-29 September, 2012.
  • Paheerathy, R., Ramanan, A. and Niranjan, M.: “An Efficient and Speeded-Up Tree for Multi-class Classification”, In Proceedings of the Sixth IEEE International Conference on Information and Automation for Sustainability (ICIAfS’12), pp. 190-194, Beijing, China, 27-29 September, 2012.
  • Mathialakan, T. and Mahesan, S.: “A Novel Approach to Simplifying Boolean Functions of any Number of Variables”, In International Journal of Computational Intelligence and Informatics (IJCII), September 2012.
  • Suthakar, S., Mahesan, S.: “A New Speed Function for Level set Based Deformable Model for Tumour Segmentation in Medical Images”, International Journal of Computational Intelligence and Informatics (IJCII), Vol. 2, No. 2, pp. 124-131, 2012.
  • Suthakar, S. and Mahesan, S.: “A Level Set Based Deformable Model for Segmenting Tumors in Medical Images”, proceedings of the International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012), pp. 280-285, 2012
2011
  • Arumainayagam, P., Charles, E.Y.A., and Kodithuwakku, S.R.: “A review on processing of Data Streams”, Research Journal of Computer Systems and Engineering – RJCSE, vol.2, pp. 73-77, 2011.
  • Ratnarajah, N., Simmons, A., and Hojjatoleslami, A.: “Probabilistic Clustering and Shape Modelling of White Matter Fibre Bundles using Regression Mixtures” MICCAI, Toronto, Canada, September, 2011.
  • Sotheeswaran, S., Suthakar, S. and Ratnarajah, N.: “A Software Tool for Enhancing, Manipulating and Visualizing MRI”, Young Scientists Forum (YSF) Symposium 2011, National Science and Technology Commission of Sri Lanka (NASTEC), 2011.
  • Ramanan, A. and Niranjan, M.: “A Review of Codebook Models in Patch-based Visual Object Recognition”, Journal of Signal Processing Systems, Springer New York, Vol. 68, No. 3, pp. 333-352, 2011.
  • Ganesharajah, B., Mahesan, S., and Pinidiyaarachchi, U.A.J.: “Robust Invariant Descriptors for Visual Object Recognition”, In Proceedings of the Sixth IEEE International Conference on Industrial and Information Systems (ICIIS’11), pp. 158-163, August, 2011.
  • Ramanan, A., Paheerathy, R., and Niranjan, M.: “Speeding Up Multi-Class Texture Classification by One-Pass Vocabulary Design and Decision Tree”, In Proceedings of the Sixth IEEE International Conference on Industrial and Information Systems (ICIIS’11), pp. 255-260, August, 2011.
  • Thabotharan, K., Nalin, R., and Pears, A.N.: “An Enhanced Congestion Aware Adaptive Routing Protocol for Opportunistic Networks”, In Proceedings of the Sixth IEEE International Conference on Industrial and Information Systems (ICIIS’11), pp. 210-215, August, 2011.
  • Thabotharan, K. and Sivasuthan, S.: “A Hybrid Reactive Routing Protocol for Mobile Ad-hoc Networks”, In Proceedings of the Sixth IEEE International Conference on Industrial and Information Systems (ICIIS’11), pp. 222-227, August, 2011.
  • Ratnarajah, N., Simmons, A., and Hojjatoleslami, A.: “Probabilistic Clustering of White Matter Fibre Bundles using Regression Mixtures” MIUA, London, July, 2011.
  • Ratnarajah, N., Simmons, A., Bertoni,M., and Hojjatoleslami, A.: “Two-Tensor Model-Based Bootstrapping on Classified Tensor Morphologies” MIUA, London, July, 2011.
  • Ratnarajah, N., Simmons, A., and Hojjatoleslami, A.: “Two-Tensor Residual Bootstrapping on Classified Tensor Morphologies” in Proc. ISMRM 19th Annual Meeting, Montreal, Quebec, Canada, May 2011.
  • Kokul, T. and Charles, E.Y.A.: “Recognition of Printed Tamil Alphabet Characters”, In Proceedings of the 18th Annual Sessions, Jaffna Science Association, Jaffna, pp. 19, 6 – 8 April, 2011.
  • Sakuntharaj, R. and Thabotharan, K.: “Implementing the Epidemic Routing Protocol for the Scalable Wireless Ad-hoc Network Simulations (SWANS)”, In Proceedings of the 18th Annual Sessions, Jaffna Science Association, Jaffna, pp. 18, 6 – 8 April, 2011.
  • Ratnarajah, N., Simmons, A., Colchester, A., and Hojjatoleslami, A.: “Resolving complex fibre configurations using two-tensor random-walk stochastic algorithms,” Proc. SPIE Medical Imaging, 7962(OR), Florida, USA. February 2011.
  • Ganesharajah, B., Mahesan, S. and Pinidiyaarachchi, U.A.J.: “Content Based Image Retrieval: An Overview of Structure of the Image and Image Database”, In proceedings of the sixth Sri Lanka Institute of Information Technology (SLIIT) Research Symposium, vol. 4, pp. 30-35, 27 January 2011, Malabe, Sri Lanka.
2010
  • Thabotharan, K. Arnold, P. and Nalin, R.: “Towards Designing a Routing Protocol for Opportunistic Networks”, In first International Conference on Advances in ICT for Emerging Regions (ICTer-2010), September 29 – October 01, 2010, Colombo, Sri Lanka.
  • Ramanan, A. and Niranjan, M.: “A One-Pass Resource-Allocating Codebook for Patch-based Visual Object Recognition”, In proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP’10), pp. 35 – 40, August 29 – September 1, 2010, Kittila, Finland.
  • Packianather, M.S., Pham, D.T., Charles, E.Y.A., Martina, R., Teti, R., D’ Addona, D. and Iodice, G.: “Spiking neural network with delay-adaption learning model for decision support in treating dental malocclusions”, Vimation Journal, Special Issue on Interactive Systems in Healthcare, ISSN 1866-4245: 48-57, 2010.
  • Pham, D. T. , Packianather, M. S. and Charles, E. Y. A.: Control chart pattern clustering using a new self-organizing spiking neural network; Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Volume 222, Number 10, 2008; PP 1201-1211.
  • Ratnarajah, N., Simmons, A., Davydov, O., and Hojjatoleslami, A.: “A Novel White Matter Fibre Tracking Algorithm using Probabilistic Tractography and Average Curves,” Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010 Lecture Notes in Computer Science, 2010, Volume 6361/2010, pp. 666-673, Beijing, China, September 2010.
  • Ramanan, A.: “Designing a Resource-Allocating Codebook for Patch-based Visual Object Recognition”, University of Southampton, School of Electronics and Computer Science, Doctoral Thesis, 130pp. June 2010.
  • Ratnarajah, N., Simmons, A., and Hojjat, A.: “A Novel Average Curves Tractography Technique – Validation Using a Physical Phantom” in Proc. Joint Annual meeting ISMRM-ESMRMB, Stockholm, Sweden, May 2010.
  • Sotheeswaran, S. and Suthakar, S.: “Visualization of Brain MRI Images and Abnormal Region Identification”, 17th Annual Session, Jaffna Science Association, Jaffna, 21 – 23 April, 2010.
  • Sathees, R. and Thabotharan, K.: “A Performance Comparison of Mobility Models for Mobile Ad-hoc Networks”, In 17th Annual Session, Jaffna Science Association, Jaffna, Sri Lanka, Jaffna, 21 – 23 April, 2010.
  • Sivaranjini, G. and Charles, E. Y. A.: “A Database Management System for Public Information of Point-Pedro Divisional Secretariat”, 17th Annual Session, Jaffna Science Association, Jaffna, 21 – 23 April, 2010.
  • Thabotharan, K. and Arnold, P. : “State of the art in Modeling Opportunistic Networks”, Book chapter in the book “Mobile Opportunistic Networks: Architectures, Protocols and Applications”, edited by Mieso K. Denko, publisher Auerbach Publications, Taylor & Francis Group, March 2010.
2009
  • Ramanan, A. and Niranjan, M.: “Resource-Allocating Codebook for Patch-based Face Recognition”, In proceedings of the Fourth IEEE International Conference on Industrial and Information Systems, 28 – 31 December, 2009.
  • Sabesan, M. and Risch, T.: Web Service Query Service , Proc. of 11th International Conference on Information Integration and Web-based Applications & Services (iiWAS2009), Kuala Lumpur, Malaysia, 14 – 16 December, ACM, 2009.
  • Ramanan, M., Jeyasugiththan, J., Mahesan, S., and Jeyakumaran, N.: “A Software Tool for Improving Co-60 Treatment Delivery in a Regional Cancer Centre”, In Proceedings of the 30th Annual Conference of Association of Medical Physicists of India (AMPICON-2009), pp. 62-63, November 22-25, 2009.
  • Thabotharan, K., Nalin, R. and Arnold, P.: “Evaluation of the Impact of Opportunistic Networking on Command and Control System Performance”, In proceedings of the First International Conference on Next Generation Wireless Systems (NGWS2009) , Melbourne, Australia, 12-14 October 2009.
  • Farran, B., Ramanan, A., and Niranjan, M.: “Sequential Hierarchical Pattern Clustering”, In proceedings of the Fourth IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB’09), Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, vol. 5780, pp. 79-88, 2009.
  • Ratnarajah, N., Simmons, A., Davydov, O., and Hojjat, A.: “An error analysis of probabilistic fibre tracking methods: average curves optimization,” In Proc. Medical Image Understanding and Analysis 2009, Kingston University, London, pp. 134-138, July 2009.
  • Thabotharan, K. and Arnold, P.: “Modeling Predictability and Connectedness in a Command and Control System”, in proceedings of the 6th Swedish National Computer Networking Workshop (SNCNW’09), Uppsala, 4-5 May 2009.
  • Ratnarajah, N., Simmons, A., and Hojjat, A.: “Stochastic Fibre Tracking: An Average Curves Approach” in Proc. ISMRM 17th Annual Meeting, Honolulu, Hawaii, USA, April 2009.
  • Sabesan, M. and Risch, T.: Adaptive Parallelization of Queries over Dependent Web Service Calls, 1st IEEE Workshop on Information & Software as Services(WISS 2009), Proc. of the 25th International Conference on Data Engineering (ICDE2009), IEEE Computer Society, pp 1725-1732, Shanghai, China, 29 March – 2 April, 2009.
2008
  • Pham, D.T., Packianather, M.S., Charles, E.Y.A., Martina R., Teti T., D’Addona D. and Iodice G.: Spiking Neural Network Learning Model for Decision Support in Orthodontic Extraction, CIRP ICME 2008.
  • Ratnarajah, N., Simmons, A., and Hojjat, A.: “Stochastic Two-tensor Fibre Tractography,” Medical Image Understanding and Analysis Proceedings, pp. 194-198, Dundee, Scotland, July 2008.
  • Thabotharan, K. and Arnold, P.: “Benchmarking of Opportunistic Networking Experiments”. In 5th Swedish National Computer Networking Workshop (SNCNW ’08), Karlskrona, Sweden. April, 2008.
2007
  • Thabotharan, K. and Arnold, P.: “Reproducing Opportunistic Connectivity Traces Using Connectivity Models”, Student Workshop Paper, CoNext 2007, New York, USA, December 2007.
  • Ramanan, A., Suppharangsan, S., and Niranjan, M.: “Unbalanced Decision Trees for Multi-class Classification”, Second International Conference on Industrial and Information Systems (ICIIS-2007), Peradeniya, Sri Lanka, August 2007.
  • Pham, D.T., Packianather, M.S., and Charles, E.Y.A.: “Self-organising spiking neural networks trained by weight and delay-adaptation methods for control chart pattern recognition”, Proceedings of the 3rd International Conference (virtual) on Intelligent Production Machines and Systems (IPROMS), 3-14 July 2007.
  • Pham, D.T., Packianather, M.S., and Charles, E.Y.A.: “Spiking neural network for control chart pattern recognition”, Proceedings of the European Control Conference, Kos, Greece, pp 1392-1397, 2-5 July 2007.
  • Sabesan, M., and Risch, T.: “Web Service Mediation Through Multi-level Views”, International Workshop on Web Information Systems Modeling (WISM 2007), Trondheim, Norway, June 12, 2007.
  • Pham, D.T., Packianather, M.S., and Charles, E.Y.A.: “A self-organising spiking neural network trained using delay adaptation”, Proceedings of the IEEE International Symposium on Industrial Electronics, Vigo – Spain, pp. 3441-3446, 4-7 June 2007.
  • Sabesan, M.: “Querying Mediated Web Services, Thesis for the degree of Licentiate of Philosophy in Computer Science with specialization in Database Technology”, Uppsala University, February 05, 2007.
2006
  • Sabesan, M., Risch, T., and Wikramanayake, G.: “Querying Mediated Web Services”, 8th International Information Technology Conference, IITC 2006, Colombo, Sri Lanka, October 12, 2006.
  • Thabotharan, K., Arnold, P., and Nalin, R.: “Connectivity Models : A new Approach to Modeling Contacts in Opportunistic Networks”, In proceedings of the 8th International information Technology Conference (IITC 2006), Colombo, Sri Lanka, October 2006.
  • Thabotharan, K.: “What and When?: Distributing Content in Opportunistic Networks”, In Proceedings of the International Conference on Wireless and Mobile Communications (ICWMC’06), Buchraest, Romania, July 2006.
  • Pham, D.T., Packianather, M.S., and Charles, E.Y.A.: “A Novel Self-Organised Learning Model with Temporal Coding for Spiking Neural Networks”, Proceedings of the 2nd International Conference (virtual) on Intelligent Production Machines and Systems (IPROMS), pp. 307-312, 3-14 July 2006.
Before 2006
  • Thabotharan, K., and Arnold, P.: “Approaches to P2P Internet Application Development”, In proceedings of the International Conference on Networking and Services (ICNS’05), French Polynsia, October 2005.
  • Mahesan S.: “Perspective of Campus Area Network”, Proceedings of Jaffna Science Association, Jaffna, Sri Lanka, section. B, Vol.12, No.2, pp.7-33, 2005.
  • Dang, X.-H. and Thabotharan, K.: “Performance Evaluation of an Enhanced Popularity-Aware Web Proxy Cache Replacement Algorithm”, International Conference on Internet Computing, pp.290-295, 21- 24 June, 2004.
  • Ramanan, A. and Suthakar, S.: “Data Compression in Image processing by using 2-Dimensional Centroidal Voronoi Tessellation in Java”, Proceedings of the 12th Annual Session of the Jaffna Science Association (JSA), Jaffna, Sri Lanka, section. B, pp.18, April 2004.
  • Sabesan, M. and Mahesan, S.: “Drawing Chemical Structures of Inorganic Compounds From Their Molecular Formulae Using Java”, Proceedings of the 11th Annual Session of the Jaffna Science Association (JSA), Jaffna, Sri Lanka, section. B, pp.28, 2003.
  • Sivaluxman, S. and Mahesan, S.: “An Electronic Book for Solid Geometry”, Proceedings of the 11th Annual Session of the Jaffna Science Association (JSA), Jaffna, Sri Lanka, section. B, pp.28, 2003.
  • Subashini, S. and Mahesan, S.: “A Prototype System for Grammar Checking of Tamil Sentences”, Proceedings of the 11th Annual Session of the Jaffna Science Association (JSA), Jaffna, Sri Lanka, section. B, pp.29, 2003.
  • Dhushyanthi, M., and Mahesan, S.: “Defining Grammar for Names and Drawing Two-dimensional Structures of Alcohols, Aldehydes, Ketones, and Organic Acids”, Proceedings of the 10th Annual Session of the Jaffna Science Association (JSA), Jaffna, Sri Lanka, section. B, pp.4, 2002.
  • Sivagnanasundram, J., and Mahesan, S.: “A Visual Geographical Information System for the District of Jaffna”, 8th Annual Session, Jaffna Science Association, Jaffna, 2000.
  • Kesavan, K., Thabotharan, K. and Mahesan, S.: “A Glossary Management System”, 7th Annual Session, Jaffna Science Association, Jaffna, 1999.
  • Mahesan, S.: “Tamil Transliterator – Graphical User Interface to Microsoft Window-based Word Processors to Type in Tamil”, 7th Annual Session, Jaffna Science Association, Jaffna, April 1999.
  • Mahesan, S. and Martin, R. R.: “Using PROLOG to Deduce and Draw Two-Dimensional Chemical Structures from IUPAC Names”, In Proceedings of the 12th National Comp. Conference, Sri Lanka, pp.31-58, 1992.