- Faculty of Engineering
- Department of Computer Science & Engineering
- Senior Lecturer Grade II
Contact information
Univerity of Moratuwa
Katubadda
Moratuwa
Sri Lanka
Teaching and Administrative Activities
Research Activities
Data Analytics, Machine Learning, Computer Vision
Education and Professional Affiliations
Bachelors, University of Moratuwa ,2014 Major in Computer Science and Engineering
Institute of Engineers Sri Lanka(2017 To date)
Career
Honours and Awards
Publications*
Dr. Dilum Bandara,".Poster: Enhancing Fuel Economy of Fleet Vehicles Through Real-Time Driver Monitoring and Feedback.",The 14th ACM International Conference on Mobile Systems, Applications, and Services,Singapore,2016,87-87
Dr. Dilum Bandara,".Fuel Consumption Prediction of Fleet Vehicles Using Machine Leaning: A Comparative Study.",Moratuwa Engineering Research Conference (MERCon),Sri Lanka,2016,90-95
K Kahapola, S Galappaththi, D Ranasinghe, R Shariffdeen, N De Silva, S Perera, S Wickramanayake. “JavaBackports: A Dataset for Benchmarking Automated Backporting in Javaâ€. Accepted to Mining Software Repositories, 2026.
L Akmeemana, C Attanayake, H Faiz, S. Wickramanayake, "GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks", Presented at Australasian Symposium on Parallel and Distributed Computing, 2026.
D Randula, S Praveen, S Dissanayake, S. Wickramanayake, "InfluesCO: Recommending the Right Sri Lankan YouTube Influencer for Your Marketing Needs", Accepted to the International Conference on Advanced Research in Computing (ICARC), 2026.
M Chandirakumar, T Kanagarajah, N Kalanantharasan, S. Wickramanayake, D Meedeniya, “Human Activity Recognition Using Spatio-Temporal Dual Attention with Cross-Sensor Attentionâ€. In International Joint Conference on Neural Networks (IJCNN), 2025.
C Karunathilaka, S Wickramanayake. “Empirical Evaluation of Deep Learning Models for Long-Term Solar Power Generation Forecastingâ€. In Proceedings of 5th International Conference on Advanced Research in Computing (ICARC) 2025.
PH Panawenna, S Wickramanayake. “Understanding Omitted Facts in Transformer-based Abstractive Summarizationâ€. In Proceeding of the Moratuwa Engineering Research Conference (MERCon) 2024.
KD Pramod, WT De Silva, WU Thabrew, R Shariffdeen, S Wickramanayake. “BUGSPHP: A dataset for Automated Program Repair in PHPâ€. In Proceedings of the Mining Software Repositories, 2024.
K Charuka, S Wickramanayake, TD Ambegoda, P Madhushan, D Wijesooriya. “Sign Language Recognition for Low Resource Languages Using Few Shot Learningâ€, In Proceedings of the International Conference on Neural Information Processing, 2023.
PN Deelaka, DY De Silva, S. Wickramanayake, D. Meedeniya, S. Rasnayaka “TEZARNet: TEmporal Zero-Shot Activity Recognition Networkâ€, In Proceedings of the International Conference on Neural Information Processing, 2023.
B Karunarathne, V Nanayakkara, E Ranasinghe, M Ranasinghe, S Ahangama, S Wickramanayake, C Hettiarachchi.â€Analysis of the factors affecting successful completion of asynchronous online learning programsâ€. In the Proceedings of the European Conference on e-Learning, 2023.
D. Senarath, S. Tharinda, M. Vishvajith, S. Rasnayaka, S. Wickramanayake, D. Meedeniya, " BehaveFormer: A Framework with Spatio-Temporal Dual Attention Transformers for IMU enhanced Keystroke Dynamics", In Proceedings of the International Joint Conference on Biometrics, (IJCB) 2023.
D. Senarath, S. Tharinda, M. Vishvajith, S. Rasnayaka, S. Wickramanayake, D. Meedeniya, "Re-evaluating Keystroke Dynamics for Continuous Authentication", In Proceedings of the International Conference on Advanced Research in Computing (ICARC), 2023. (Best Paper Award in Human-Computer Interaction and Computer Vision Track).
V. Nanayakkara, B. Karunarathne, M. Ranasinghe, S. Perera., G. Amarasinghe, S. Wickramanayake, S. Ahangama, K. Mahadewa, C. Hettiarachchi and H. Yaggahavita. “open.uom.lk: A Free Online Knowledge Sharing Platformâ€, In Proceedings of the 21st European Conference on e-Learning, (ECEL) 2022.
S. Wickramanayake, W. Hsu and M.L. Lee, “Explanation-based data augmentation for image classificationâ€, In Proceedings of the Advances in Neural Information Processing Systems, 2021.
S. Wickramanayake, W. Hsu and M.L. Lee, “Comprehensible convolutional neural networks via guided concept learningâ€. In 2021 International Joint Conference on Neural Networks (IJCNN), 2021.
S. Wickramanayake, W. Hsu. and M.L. Lee. “Flex: Faithful linguistic explanations for neural net-based model decisionsâ€. In Proceedings of the AAAI Conference on Artificial Intelligence, 2019.
S. Wickramanayake and H.D Bandara, “Poster: Enhancing Fuel Economy of Fleet Vehicles Through Real-Time Driver Monitoring and Feedbackâ€. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion, 2016.
S. Wickramanayake and H.D. Bandara, “Fuel consumption prediction of fleet vehicles using machine learning: A comparative studyâ€. In Proceedings of 2016 Moratuwa Engineering Research Conference (MERCon), 2016.
S. Darshana, D. Fernando, S. Jayawardena, S. Wickramanayake, C. De Silva, “Efficient PERCLOS and Gaze Measurement Methodologies to Estimate Driver Attention in Real Timeâ€, In Proceedings of the 5th International Conference on Intelligent Systems, Modelling and Simulation, 2014.
K.U.G.S. Darshana, M.D.Y. Fernando, S.S. Jayawardena, S.K.K. Wickramanayake, “Riyadisi - Intelligent Driver Monitoring Systemâ€, In Proceedings of International Conference on Advances in ICT for Emerging Regions (ICTer), 2013.
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