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
Admin Roles
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]
MPhil
- Mr. S. Suthakaran, “Mitigating Label Scarcity with Self-Supervised and Semi-Supervised Deep Learning for Diabetic Retinopathy Grading”, Reading for MPhil in Computer Science, University of Jaffna, October 2024 – October 2026. [Supervisor: Prof. M. Siyamalan]
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.
Plenary / Invited talks at Conferences / Summer Schools / Workshops
- Plenary talk on “Deep Learning with Insufficient Labels”, at the 16th International Research Conference (Computing), General Sir John Kotelawala Defence University, 7 September 2023. Click here to view the talk.
- Keynote talk on “Unlocking the Power of Deep Learning: Active Learning, Semi-Supervised Strategies, and Beyond” at the Faculty Annual Research Session (FARS2023) of the Faculty of Applied Science, University of Vavuniya, 25 October 2023.
- Invited talk on “From Machine Learning to Deep Learning” at the “Mastering Deep Learning with Hands-on 2024” workshop organized by the IEEE Computer Society Student Branch Chapter of the University of Jaffna, 17 August 2024
- Invited talk on “The Impact of AI on Teaching, Learning, and Assessment”, Staff Development Center, University of Jaffna, 16 August 2024
- Invited talk on “Higher Education in the era of Generative AI” at the “Thinking Higher Education” under NORLANKA-BLUE project “Innovative Network in Fisheries, Aquaculture and Aquatic Sciences” held at Hotel East Lagoon, Batticaloa, 23rd and 24th July 2024.
- Invited talk on “Introduction to Deep Learning” at the Google exploreCSR Summer School on Machine Intelligence, held at the Department of Computer Science, University of Jaffna, 14 June 2024.
- Invited talk on “Introduction to Machine Learning and Deep Learning”, IEEE Summer School in Computational Intelligence: Theory and Applications, held at the Department of Computer Science, University of Jaffna, 12 July 2023.
Resource Person for Workshops
- “Applying Machine Learning and Deep Learning Techniques for Research” for the students from the Department of Physical Science, Faculty of Applied Science, University of Vavuniya, 8 January 2025
- “Generative AI Tools for Engineers” organised by the Institution of Engineers, Sri Lanka, Vadakkin Chapter, 21 December 2024.
- “Generative AI Tools for Officers” for Development Officers and Management Service Officers of the Divisional Secretariat, Kopay, Jaffna, 5 November 2024.
- “Generative AI Tools for Academics” for the staff of the University of Jaffna, organized by the Staff Development Centre, University of Jaffna, 19 September 2024.
- “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, 12 February 2023
- “High-Performance Computing and Hands-on Training” under the AHEAD project of the Faculty of Applied Science, Vavuniya Campus, University of Jaffna, 10 April 2021
- “Introduction to Machine Learning and Deep Learning with its Applications” organized by the IEEE Student Branch of the University of Jaffna, 1 May 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 (Q2 Journal, IF 2.0)
- 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 (Q1 Journal, IF 7.2)
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
2024
- Sivashanth, S., Charles, E.Y.A. and Manivannan, S.: “A Fully Automated Approach for Enhancing Ancient Tamil Inscriptions Using Deep Learning”, In 8th International Conference on Artificial Intelligence, Sri Lanka, 18-19 December 2024.
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
Editorial Work
- Editor, The Scientific World Journal, Wiley (since March 2024)
- Chief Editor, VINGNANAM Journal of Science, Faculty of Science, University of Jaffna (June 2021 – June 2024)
- Member of the Advisory Committee of the Journal of Jaffna Science Association (since September 2023)
- Sub Editor, VINGNANAM Research Conference 2022
Articles
- Manivannan, Augmented Reality Face Filters – How do they work? IEEE Sri Lanka Section newsletter, January 2022
- 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
- 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
- Manivannan, Deep Learning for Covid-19, IEEE Sri Lanka Section newsletter, October 2022
- Manivannan, Waterfall vs. Agile: Which one should you choose for software development? IEEENews@UoJ, Vol-1, September 2021
- Manivannan, DeepFakes-Fakes Become Real, Vidya E-News, State Ministry of Skills Development, Vocational Education, Research and Innovation, Sri Lanka, 2021
- 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
- Manivannan, Levels of Supervision in Deep Learning, Vidya E-News, State Ministry of Skills Development, Vocational Education, Research and Innovation, Sri Lanka, 2021
Reviewer for Indexed Journals
An active reviewer, reviewed over 100 manuscripts from various well-known publishers including:
- IEEE: Transaction on Medical Imaging (over 12 manuscripts), Access (over 8 manuscripts), Transactions on Multimedia, Transactions on Cybernetics, Transactions on Artificial Intelligence, Transactions on Emerging Topics in Computational Intelligence, Signal Processing Letters, Bio-medical and Health Informatics, Sensors, Geoscience and Remote Sensing Letters
- Elsevier: Pattern Recognition (over 25 manuscripts), Medical Image Analysis, Computer Vision and Image Understanding, Expert Systems with Applications, Biomedical Signal Processing & Control, Franklin Open, Micron, Engineering Science and Technology, NeuroComputing
- Springer: Machine Vision and Applications, Soft Computing, Neural Computing & Applications
- Taylor & Francis: International Journal of Remote Sensing, Applied Artificial Intelligence, Smart Science
- MDPI: Applied Sciences, BioMed
- Wiley: Health Science Reports
- NSF-SL: Journal of National Science Foundation, Sri Lanka
Conference Related Activities
- Area Chair, 5th Chinese Conference on Pattern Recognition and Computer Vision, 2022
- Chair, Web, Media and Publicity Committee, 3rd VINGNANAM Research Conference (VRC), Faculty of Science, University of Jaffna – 2024
- 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 – 2018)
- Publication Chair of the Sri Lanka Student Workshop on Computer Science (SLSWCS), Department of Computer Science, University of Jaffna – 2021.
Website Development (2016-2018)
- Designed, Developed, and maintained the website of the Faculty of Engineering 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
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. |
Admin Roles
Advisor
- IEEE Computer Society (CS) Student Branch Chapter, University of Jaffna (January 2024 – January 2025)
Chairman
- Various Technical Evaluation Committees, University of Jaffna (from 2018)
- Web Committee of the Faculty of Engineering, University of Jaffna (2017-2018)
Counsellor
- Academic Counsellor, Faculty of Science (since September 2023)
- Student Counsellor, University of Jaffna (March 2022 – March 2023)
- IEEE Student Branch – University of Jaffna (September 2021 – December 2022)
Director
- Career Guidance Unit, University of Jaffna (since November 2023)
Member
- IEEE Senior Member (since 2021)
- Resource Pool of Expertise for Research Review and Roadmap Development, Ministry of Education, Science, and Technology (since October 2024)
- Board of Study in Physical Science, Faculty of Graduate Studies, University of Jaffna (since 2022)
- Research Committee, Faculty of Science, University of Jaffna (since 2020)
- Career Guidance Cell, Faculty of Science, University of Jaffna (2018 – 2023)
- Board of Study in Engineering, Faculty of Graduate Studies, University of Jaffna (2018 – 2020)
- Research Committee, Faculty of Engineering, University of Jaffna (2016-2018)
- Academic Development and Planning Committee, Faculty of Engineering, University of Jaffna (2016-2018)
- Handbook Committee, Faculty of Engineering, University of Jaffna (2016-2018)
- Internal Quality Assurance Cell, Faculty of Engineering, University of Jaffna (2016-2018)
Treasurer
- Senior Treasurer of the IEEE Student Branch – University of Jaffna (January 2020 – September 2021)
- Sri Lanka Student Workshop on Computer Science (SLSWCS’21), Department of Computer Science, University of Jaffna (2021)