• M.Sc. in Computer Science, Postgraduate Institute of Science, University of Peradeniya, Sri Lanka
• B.Sc. (Special degree in Computer Science) with Second Class Honours (Upper Division), University of Peradeniya, Sri Lanka

• Machine Learning & Deep learning
• Digital Image Processing
• Computer vision

• Certification for Excellent Trainee, Advanced Workshop on Big Data Analysis and Management, Chongqing University of Posts and Telecommunications, China (2021)
• Master of Science Merit Scholarships Award, MSc. in Computer Science (2015/16)

Conference Proceedings

• Gamage, G.D.I.C. & Wanninayake, W.M.L.N. (2024). Deep Learning-Based Automated Glacier Identification and Classification. Proceedings of the 16th Symposium on Applied Science, Business & Industrial Research, 29 – 34. Faculty of Applied Sciences, Wayamba University of Sri Lanka.
• Wijayasundara, R.J. & Wanninayake, W.M.L.N. (2024). Machine Learning based Rainfall and Flood Forecasting in Rathnapura District. Proceedings of the 16th Symposium on Applied Science, Business & Industrial Research, 65 – 70. Faculty of Applied Sciences, Wayamba University of Sri Lanka.
• Gangoda, G. M. C. A., & Wanninayake, W. M. L. N. (2022). A Model for Diabetes Prediction Using Machine Learning. Proceedings of the 14th Symposium on Applied Science, Business & Industrial Research, 1 – 5. Faculty of Applied Sciences, Wayamba University of Sri Lanka.
• Batuwangala, M. T., & Wanninayake, W. M. L. N. (2022). Enhancement of Real Time Object Detection for Autonomous Driving Based on YOLOv5. Proceedings of the 14th Symposium on Applied Science, Business & Industrial Research, 23 – 28. Faculty of Applied Sciences, Wayamba University of Sri Lanka.
• Weerasinghe, S., & Wanninayake W. M. L. N. (2021). Online Music Practicing and Recording Application. Proceedings of the NIBM Symposium on Computing Research 2021, 26 – 29. School of Computing and Engineering, National Institute of Business Management, Sri Lanka.
• Disanayaka, D. M. G. A., & Wanninayake W. M. L. N. (2021). Identifying mental abnormalities of pets using EEG sensors and remotely communicating with pets to reduce anxiety and depression. Proceedings of the NIBM Symposium on Computing Research 2021, 33 – 36. School of Computing and Engineering, National Institute of Business Management, Sri Lanka.
• Rimshan, M., & Wanninayake W. M. L. N. (2021). The advanced Solution for the Identification of Ornamental Plants and Growing Feasibility. Proceedings of the NIBM Symposium on Computing Research 2021, 149 – 151. School of Computing and Engineering, National Institute of Business Management, Sri Lanka.
• Marasinghe, H., & Wanninayake W. M. L. N. (2021). An Advanced Solution for the Identification of Ripen Fruits for Large-scale Farmers. Proceedings of the NIBM Symposium on Computing Research 2021, 152 – 153. School of Computing and Engineering, National Institute of Business Management, Sri Lanka.
• Wanninayake, W. M. L. N., Nawarathna, R. D., & Kodituwakku, S. R. (2019). A Model to Detect Malfunctions of an Automobile Engine and to Recommend Actions Using Gas Emission Data. Proceedings of the Postgraduate Institute of Science Research Congress, 6, 65. Postgraduate Institute of Science, University of Peradeniya, Sri Lanka.

Book chapters

• Wanninayake, W. M. L. N. (2022). Adopting Blended Learning for Enhancing the Student Learning Experience. In M. M. D. R. Deegahawature & E. A. C. P. Karunarathne (Eds.), Novel Approaches to Promote Teaching-Learning Environment in the Higher Education (pp. 23 – 30). Staff Development Center, Wayamba University of Sri Lanka.