Prof. M. Siyamalan
- Professor in Computer Science
- B.Sc. [Hons] (Jaffna), MSc(France), PhD(UK)
- siyam@univ.jfn.ac.lk
- +94212218194
Research Interests:
Deep learning,
Machine Learning,
Computer Vision,
Medical Image Analysis
Deep learning,
Machine Learning,
Computer Vision,
Medical Image Analysis
Academic Profile
Awards
Publications
Activities
Teaching
Employment History
Academic Profile
Professor Manivannan Siyamalan
- Ph.D. (UK) [2015]
- M.Sc. (France) [2011]
- B.Sc. Special in Computer Science, First Class (Jaffna, Sri Lanka) [2006]
Postgraduate Supervision
PhD
- Mr. K. Santhanakrishnan, “Semi-Supervised Deep Learning for Imbalanced Classification of Skin Lesions”, Reading for Ph.D. in Computer Engineering, University of Peradeniya, Sept. 2023 – Sept. 2026. [Supervisor: Prof. M. Siyamalan, Co-Supervisors: Prof. Roshan G. Ragel (University of Peradeniya), Dr. S. Thuseethan (Deakin University, Australia)]
- Ms. R. Nirthika, “Convolutional Neural Network-based Semi-Supervised Learning for Medical Image Analysis”, Reading for Ph.D. in Computer Science, University of Jaffna, Nov. 2018 – Nov. 2021. [Supervisor: Dr. M. Siyamalan, Co-Supervisor: Dr. A. Ramanan]
MSc
- Mr. V. E. Nirmalan, “Comparative Analysis of Different Features and Encoding Methods for Rice Image Classification”, MSc in Computer Science, PGIS, University of Peradeniya.
Keynote/Plenary talks
- Unlocking the Power of Deep Learning: Active Learning, Semi-Supervised Strategies, and Beyond, Faculty Annual Research Session (FARS2023) of the Faculty of Applied Science, University of Vavuniya
- Deep Learning with Insufficient Labels, 16th International Research Conference (Computing), General Sir John Kotelawala Defence University, 7th September 2023. Click here to view the talk.
- Introduction to Machine Learning and Deep Learning, IEEE Summer School in Computational Intelligence, Department of Computer Science, University of Jaffna, 12 July 2023
Resource Person
- Workshop on “Deep Learning and High-Performance Computing with Hands-on Training” under the AHEAD project of the Faculty of Applied Science, Vavuniya Campus, University of Jaffna, 12th of February 2023
- Workshop on “High-Performance Computing and Hands-on Training” under the AHEAD project of the Faculty of Applied Science, Vavuniya Campus, University of Jaffna, 10th April 2021
- “Hands-on Training on Deep Learning” organized by the IEEE Student Branch of the University of Jaffna, 2021
Awards
International Contest winning
- 2018: Third place (out of 77 teams) at the MICCAI 2018 grand challenge “ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3 – Lesion Diagnosis”.
- 2015: Winner (1st place) of the challenge “Early Barrett’s Cancer Detection” organized by MICCAI, Munich, Germany.
- 2015: Winner (1st place) of the challenge “Detection of Abnormalities in Gastroscopic Images” organized by MICCAI, Munich, Germany.
- 2014: Winner (1st place), Cell Level Classification task in the ICPR contest “Performance Evaluation of Indirect Immunofluorescence Image Analysis Systems”, Stockholm, Sweden, 2014.
- 2014: Winner (1st place), Specimen Level Classification task in the ICPR contest “Performance Evaluation of Indirect Immunofluorescence Image Analysis Systems”, Stockholm, Sweden, 2014.
- 2014: Runner-up prize for the “Brain Tumor Digital Pathology Segmentation Challenge” organized by MICCAI, Harvard Medical School, Boston, USA.
Scholarships/Fellowships
- 2021: India Science and Research Fellowship (ISRF) funded by the Department of Science and Technology, Government of India.
- 2021: INSA-JRD TATA fellowship funded by the Indian National Science Academy (INSA) funded by the Department of Science and Technology, Government of India.
- 2018, 2019: Fully funded Post-doctoral fellowship to conduct research at the Intelligence Science and System Lab, School of Data and Computer Science, Sun Yat-sen University, China.
- 2011-2015: PhD full International studentship funded by the European Funding Council under the IDEAS programme grant, “Colonic Disease Investigation by Robotic Hydro-colonoscopy (CODIR)”.
- 2010-2011: MSc full International studentship awarded by French National Institute for Research in Computer Science and Control (INRIA).
- 2001-2006: Mahapola Higher Education Scholarship awarded by the Government of Sri Lanka.
Awards and Recognition
- 2024: Support Scheme for Supervision of Research Degrees (SUSRED) Awards 2022/2023 for supervising the Ph.D. Thesis titled ‘Deep learning based fine-grained diabetic retinopathy image grading’, awarded by the National Science Foundation (NSF), Ministry of Education, Sri Lanka (Received in 2024)
- 2022: Computer Society of Sri Lanka (CSSL) ICT Researcher of the year – 2021 (Received in 2022)
- 2021 – to date: Included in the list of Sri Lanka’s top 1,000 Scientists by the World Scientist and University Rankings, AD Scientific Index.
- 2021: Winner of Vidya E-News Article Contest in the field of Artificial Intelligence under the Academic Category organized by the Research and Innovation Division, Ministry of Education, Sri Lanka.
- 2021: President’s Award for Scientific Research (for the year 2018)
- 2021: Best innovative project (University category) at the Provincial Level of the SLASSCOM National Ingenuity Awards 2021
- 2020: Best Paper Award at the IEEE International Conference on Industrial and Information Systems (ICIIS), held at IIT Ropar, India.
- 2019: President’s Award for Scientific Research (for the year 2017)
- 2019: Best Paper Award (Third Place) at the IEEE International Conference on Industrial and Information Systems (ICIIS 2019), held at the Faculty of Engineering, University of Peradeniya, Sri Lanka.
- 2016: Nominated for the Young Scientist Award by the International Conference on Medical Image Computing and Computer-Assisted Interventions, 2016. One of the only 30 authors selected from an author pool of around 250 accepted papers, filtered in turn from about 1,000 submissions.
- 2014: Runner-up prize for the outstanding doctoral student, School of Computing, University of Dundee, UK.
- 2006: University Prize for having the best performance (highest average marks) at the fourth year examination in science, University of Jaffna.
- 2006: Sabalingam Memorial Prize for Computer Science for having the highest average marks at the Special degree examination in Computer Science, University of Jaffna.
- 2003: University Prize for having the best performance (highest average marks) at the second-year examination in science, University of Jaffna.
- 2003: Handy Perinbanayaham Memorial Prize for having the best performance in the first and second examinations in Science.
- 2002: University Prize for having the best performance (highest average marks) at the first year examination in science, University of Jaffna.
- 2002: Sabalingam Memorial Prize for having the highest average marks at the first-year examination in Science, University of Jaffna.
Travel Awards
- 2013: BMVA travel award, British Machine Vision Association, UK.
- 2013: AISB travel award, The Society for the Artificial Intelligence and Simulation Behavior, UK.
- 2013: Leng Trust Travel Award, College of Medicine, Dentistry and Nursing, University of Dundee.
Non-academic Awards and Recognitions
- 2003–2005: University Chess Champion, University of Jaffna (3 consecutive years)
- 2003–2005: University Colors Insignia for the best performance in Chess, University of Jaffna (3 consecutive years)
- University of Jaffna Chess Team vice-captain in 2004 and captain in 2005
- Represented the University of Jaffna Chess team in various International and National level tournaments including GACC World Inter-varsity Chess Championship held in Malaysia in 2003 and 2005
- 2001-2005: Participated and won places at various inter, intra-faculty athletic events.
Other recognitions
- Outstanding contribution in reviewing by Pattern Recognition Journal– awarded for reviewers who are within the top 10th percentile of reviewers for the Journal, in terms of the number of manuscript reviews completed in 2015 and 2016.
Research Grants (Principal Investigator)
- 2021: University grant of worth Rs. 0.8 Million to purchase a high-performance computing system.
- 2017: University grant of worth Rs. 0.78 Million to purchase a high-performance computing system.
- 2017: Received NVidia TitanXP GPU under the Small Scale GPU Grants Programs by NVidia Corporation, USA.
Publications
International Journals
2024
- 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 (Q1 Journal, IF=8.5)
2023
- Manivannan, S.: “Collaborative deep semi-supervised learning with knowledge distillation for surface defect classification”, Computers & Industrial Engineering, Elsevier, vol. 186, 2023. https://doi.org/10.1016/j.cie.2023.109766
2022
- Manivannan, S.: “An ensemble-based deep semi-supervised learning for the classification of Wafer Bin Maps defect patterns”, Computers & Industrial Engineering, Elsevier, 2022. (Q1 Journal, IF 7.2)
- Manivannan, S.: “Automatic Quality Inspection in Additive Manufacturing using Semi-Supervised Deep Learning”, Journal of Intelligent Manufacturing, Springer, August 2022. (Q1 Journal, IF 7.1)
- 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. [* – Contributed Equally]. (Q1 Journal, IF 5.1)
- 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. [* – Contributed Equally]. (Q1 Journal, IF 5.1)
2018
- Manivannan, S., W. Li, J. Zhang, E. Trucco and S. McKenna, Structure Prediction for Gland Segmentation with Hand-Crafted and Deep Convolutional Features, IEEE Transactions on Medical Imaging, 2018, 37(1):210-221. (Q1 Journal, IF 11.0)
2017
- Manivannan, S., 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 (Q1 Journal, IF 11.0)
2016
- Manivannan, S., W.Li, S.Akbar, R.Wang, J.Zhang and S.J.McKenna, An automated pattern recognition system for classifying HEp-2 cells and specimens, In Pattern Recognition, 2016, 51:12-26 (Q1 Journal, IF 8.5)
International Conference and Workshop Papers
2021
- 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.
- 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
- 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.
2020
- R. Nirthika, S. Manivannan, and A. Ramanan, “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, 26-28 November 2020.
2019
- S. Manivannan, and M. Kausik, “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]
- R. Zhang, S. Tan, R. Wang, S.Manivannan, H. Lin, J. Chen, and W. Zheng: “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, 13-17 October 2019.
2018
- E.N. Vijayaratnam, R.D. Nawarathna, and S.Manivannan, Comparative Analysis of Different Features and Encoding Methods for Rice Image Classification, In IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2018.
2017
- A.E. Fetit, S.Manivannan, S.McGrory, L.Ballerini, A.Doney, T.J. MacGillivray, I.J.Deary, J.M. Wardlaw, F.Doubal, G.J. McKay, S.J. McKenna and E.Trucco, Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population, In Ophthalmic Medical Image Analysis – MICCAI, 2017, 150-158
2016
- S.Manivannan, R.Wang and E.Trucco, Hierarchical mix-pooling and its applications to biomedical image classification, In IEEE 13th International Symposium on Biomedical Imaging, 2016, 541 – 544
- S.Manivannan, W.Li, S.Akbar, J.Zhang, E.Trucco and S.J.McKenna, Local structure prediction for gland segmentation, In IEEE 13th International Symposium on Biomedical Imaging, 2016, 799 – 802
- W.Li, S.Manivannan, S.Akbar, J.Zhang, E.Trucco and S.J.McKenna, Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks, In IEEE 13th International Symposium on Biomedical Imaging, 2016, 1405-1408
- S.Manivannan and E.Trucco, Extended Multi-resolution Local Patterns – A Discriminative Feature Learning Approach for Colonoscopy Image Classification, In Computer Assisted Robotic Endoscopy – MICCAI, 2016, 48-58
- 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, In Medical Image Computing and Computer-Assisted Intervention – MICCAI, 2016, 308-316
2015
- S.Manivannan and E.Trucco, Learning discriminative local features from image-level labeled data for colonoscopy image classification, IEEE 12th International Symposium on Biomedical Imaging, 2015, 420-423
- S.Manivannan and E.Trucco, Weakly supervised multi-class feature learning for colonoscopy image classification, In SICSA Medical Image Analysis Workshop, 2015.
2014
- S.Manivannan, W.Li, S.Akbar, R.Wang, J.Zhang and S.J.McKenna*, HEp-2 specimen classification using multi-resolution local patterns and SVM, 1st Workshop on Pattern Recognition Techniques for Indirect Immunoflurescence Images, International Conference on Pattern Recognition, 2014, 41-44
- S.Manivannan, W.Li, S.Akbar, R.Wang, J.Zhang and S.J.McKenna*, HEp-2 cell classification using multi-resolution local patterns and ensemble SVMs, 1st Workshop on Pattern Recognition Techniques for Indirect Immunoflurescence Images, International Conference on Pattern Recognition, 2014, 37-49
- S.Manivannan, R.Wang and E.Trucco, Inter-cluster features for medical image classification, In Medical Image Computing and Computer-Assisted Intervention – MICCAI, 2014, 345-352
- G.A.Puerto-Souza, S.Manivannan, M.Trujillo, J.Hoyos, E.Trucco, and G.Mariottini, Enhancing normal-abnormal classification accuracy in colonoscopy videos via temporal consistency, In Computer-Assisted Robotic Endoscopy, MICCAI, 2014, 129-139.
- S.Manivannan, R.Wang, M.Trujillo, J.Hoyos, E.Trucco and G.Mariottini, Video-specifc SVMs for colonoscopy image classification, In Computer-Assisted Robotic Endoscopy, MICCAI, 2014, 11-21
- S.Manivannan, H.Shen, W.Li, R.Annunziata, H.Hamad, R.Wang and J.Zhang, Brain tumor region segmentation using local co-occurrence features and conditional random fields, In Brain Tumour Digital Pathology Segmentation Challenge, MICCAI, 2014, 15-19
2013
- S.Manivannan, R.Wang and E.Trucco, Extended Gaussian-Filtered Local Binary Patterns for Colonoscopy Image Classification, In 2013 IEEE International Conference on Computer Vision Workshops, 2013, 184-189
- S.Manivannan, R.Wang, E.Trucco and A.Hood, Automatic normal-abnormal video frame classification for colonoscopy, In IEEE 10th International Symposium on Biomedical Imaging, 2013, 644-647
Activities
Admin Roles
- Academic Counsellor from (Sept 2023 – to date)
- Student Counselor, Faculty of Science, University of Jaffna (Mar 2022–Mar 2023)
- Counselor of the IEEE Student Branch – University of Jaffna (Sept 2021 to Dec 2022)
- Senior Treasurer of the IEEE Student Branch – University of Jaffna (Jan 2020 to Sept 2021)
- Treasurer of the Sri Lanka Student Workshop on Computer Science (SLSWCS), Department of Computer Science, University of Jaffna (2021)
- Chairman of various Technical Evaluation Committees (from 2018)
- Chairman of the web committee of the Faculty of Engineering (2017-2018)
Editorial Work
- Member of the Advisory Committee of the Journal of Jaffna Science Association (from Sept 2023 – to date)
- Chief Editor, VINGNANAM Journal of Science, Faculty of Science (from 2021)
- Sub Editor, VINGNANAM Research Conference (2022)
Member
IEEE Senior Member (from 2021)
- Member of the following:
- Research Committee (Faculty of Science, since 2020)
- Career Guidance Cell (Faculty of Science, since 2018)
- Board of Study in Engineering (Faculty of Graduate Studies, 2018 – 2020)
- Research Committee (Faculty of Engineering, 2016-2018)
- Academic Development and Planning Committee (Faculty of Engineering, 2016-2018)
- Handbook committee (Faculty of Engineering, 2016-2018)
- Internal Quality Assurance Cell (Faculty of Engineering, 2016-2018)
Conference Related Activities
- Area Chair, 5th Chinese Conference on Pattern Recognition and Computer Vision, 2022
- Session Chair for the sessions Cyber Security, and Decision Support Systems in the 9th IEEE International Conference on Information and Automation for Sustainability (ICIAfS) held on 21 & 22 December 2018 at Galadari Hotel, Sri Lanka
- Session chair for the session Information System and Technology in the 2nd Research Conference on Business Studies (RCBS) organized by the Faculty of Business Studies, Vavuniya Campus of the University of Jaffna.
- Web chair – 9th IEEE International Conference on Information and Automation for Sustainability (ICIAfS)
- Publication Chair of the Sri Lanka Student Workshop on Computer Science (SLSWCS), Department of Computer Science, University of Jaffna – 2021.
Articles
- 2022
- S. Manivannan, Augmented Reality Face Filters – How do they work?, IEEE Sri Lanka section newsletter, January 2022
- S. Manivannan, Generative Adversarial Networks: The Most Interesting Idea in the Last Ten Years of Machine Learning, ComSpective the ICT Technical Magazine by the Department of Computing and Information Systems, Sabaragamuwa University, Sri Lanka, Vol-1, No-2, January 2022
- S. Manivannan, The Boost of Deep Learning: Why Now and Not Earlier?, ComSpective – the ICT Technical Magazine by the Department of Computing and Information Systems, Sabaragamuwa University, Sri Lanka, Vol-1, No-2, January 2022
- 2021
- S. Manivannan, Deep Learning for Covid-19, IEEE Sri Lanka section newsletter, October 2021
- S. Manivannan, Waterfall vs. Agile: Which one should you choose for software development? IEEENews@UoJ, Vol-1, September 2021
- S. Manivannan, DeepFakes-Fakes Become Real, Vidya E-News, State Ministry of Skills Development, Vocational Education, Research and Innovation, Sri Lanka, 2021 (accepted)
- S. Manivannan, Overfitting in Deep Learning and ways to reduce it, Vidya E-News, State Ministry of Skills Development, Vocational Education, Research and Innovation, Sri Lanka, 2021 (accepted)
- S. Manivannan, Levels of Supervision in Deep Learning, Vidya E-News, State Ministry of Skills Development, Vocational Education, Research and Innovation, Sri Lanka, 2021 (accepted)
- 2014
- S. Manivannan, Event: 14th International Conference on Computer Vision, Artificial Intelligence and Simulation Behaviour (AISB), UK, No.139, June 2014
Website development (2016-2018)
- Designed, Developed, and maintained the website of the Faculty of Engineering www.eng.jfn.ac.lk
- Designed, Developed, and maintained the website of the Department of Interdisciplinary Studies http://www.eng.jfn.ac.lk/id/
- Integrated and maintained the publication repository for the Faculty of Engineering https://www.eng.jfn.ac.lk/bibtexbrowser.php?frameset&bib=all.bib
Reviewer for Journals
- IEEE Transaction on Medical Imaging – reviewed over 10 papers
- Elsevier Pattern Recognition – reviewed over 25 papers
- IEEE Access – reviewed 4 papers
- IEEE Transactions on Multimedia – reviewed 2 papers
- Elsevier Medical Image Analysis
- IEEE Transactions on Cybernetics
- Springer Machine Vision and Applications
- Springer Soft Computing
Teaching
Undergraduate Teaching
- CSC403S3 & CSC403M3: Data Science
- CSC108S2 & CSC104G2: Design of Algorithms
- CSC205S2 & CSC205G2: Software Engineering
- CSC107S2 & CSC103G2: Multimedia Technologies
- CSC236SC2 & CSC234GC2: Operating Systems
- CSC316GE2: Introduction to Systems and Network Administration
- CSC421SC3 & CSC421MC3: Systems Analysis, Design and Project Management
Previous Teaching Experience (Faculty of Engineering, University of Jaffna)
- EC6050: Computer Architecture and Organization
- EC9560: Data Mining
- EC2010: Computer Programming
- EC5060: Operating Systems
Employment History
| March 2022 – Present | Professor in Computer Science – Department of Computer Science, Faculty of Science, University of Jaffna, Sri Lanka. |
| May 2018 – March 2022 | Senior Lecturer – Department of Computer Science, Faculty of Science, University of Jaffna, Sri Lanka. Responsibilities include conducting lectures for undergraduate students and supervising undergraduate and postgraduate student projects. |
| April 2019 – May 2019 March 2018 – April 2018 | Visiting Researcher – School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China. Focusing on recent research in Deep Learning. |
| Sept 2016 – April 2018 | Senior Lecturer – Department of Computer Engineering, Faculty of Engineering, University of Jaffna, Sri Lanka. Responsibilities include conducting lectures for undergraduate students and supervising undergraduate and postgraduate student projects. |
| April 2015 – August 2016 | Postdoctoral researcher – CVIP, School of Computing, University of Dundee, UK. This work was mainly focused on identifying retinal bio-markers for vascular dementia. Main responsibility was to develop machine learning algorithms to automatically segment visible retinal nerve fiber layer regions (if any) in retinal color fundus images using weakly supervised approaches. |
| Nov. 2011 – April 2015 | PhD researcher – CVIP, School of Computing, University of Dundee, UK. This work was focused on developing novel machine-learning approaches for learning feature representations for medical image classification and lesion detection. It was also related to feature encoding approaches, multiple-instance learning, and deep learning using convolutional neural networks. |
| April 2011 – August 2011 | Research Intern – ASCLEPIOS Research Team, INRIA, France Research and software development for fast segmentation of regions of interest in medical images |
| April 2008 – July 2010 | Research and Development Software Engineer – Excel Technology Lanka (Pvt.) Ltd. Sri Lanka Research and software development in the application of Image processing and 3D Computer graphics for laser-related pre-processes. |
| Sept. 2007 – Feb. 2008 | Assistant Lecturer – Department of Computer Science, University of Jaffna, Sri Lanka Conducting Lectures, practical and tutorial classes for undergraduate students. |
| Feb. 2007 – Sept. 2007 | Instructor – Department of Computer Science, University of Jaffna, Sri Lanka Conducting practical and tutorial classes for undergraduate students. |