| Direct and third-body mediated resonance energy transfer in dimensionally constrained nanostructures D Weeraddana, M Premaratne, DL Andrews Physical Review B 92 (3), 035128, 2015 | 49 | 2015 |
| Controlling resonance energy transfer in nanostructure emitters by positioning near a mirror D Weeraddana, M Premaratne, SD Gunapala, DL Andrews The Journal of chemical physics 147 (7), 2017 | 32 | 2017 |
| Quantum electrodynamics of resonance energy transfer in nanowire systems D Weeraddana, M Premaratne, DL Andrews Physical Review B 93 (7), 075151, 2016 | 30 | 2016 |
| Quantum electrodynamical theory of high-efficiency excitation energy transfer in laser-driven nanostructure systems D Weeraddana, M Premaratne, SD Gunapala, DL Andrews Physical Review B 94 (8), 085133, 2016 | 15 | 2016 |
| Dempster–Shafer information filtering framework: Temporal and spatio-temporal evidence filtering DM Weeraddana, C Kulasekere, KS Walgama IEEE Sensors Journal 15 (10), 5576-5583, 2015 | 11 | 2015 |
| Sensor network based adaptable system architecture for emergency situations S Gayan, DM Weeraddana, A Gunathillake Lecture Notes on Information Theory Vol 2 (1), 2014 | 11 | 2014 |
| Machine learning based novel ensemble learning framework for electricity operational forecasting D Weeraddana, NLD Khoa, N Mahdavi Electric Power Systems Research 201, 107477, 2021 | 7 | 2021 |
| Long-Term Pipeline Failure Prediction Using Nonparametric Survival Analysis D Weeraddana, S MallawaArachchi, T Warnakula, Z Li, Y Wang ECML PKDD 2020, 2020 | 7 | 2020 |
| Dempster-shafer information filtering in multi-modality wireless sensor networks DM Weeraddana, KS Walgama, EC Kulasekere International Journal of Electronics and Communication Engineering 7 (7 …, 2013 | 7 | 2013 |
| Optical control of resonance energy transfer in quantum dot systems D Weeraddana, M Premaratne, DL Andrews 2016 IEEE Nanotechnology Materials and Devices Conference (NMDC), 2016 | 5 | 2016 |
| Probabilistic estimation of pv generation at customer and distribution feeder levels using net-demand data N Mahdavi, D Weeraddana, Y Guo IEEE Transactions on Smart Grid 14 (3), 1974-1984, 2022 | 4 | 2022 |
| Long-term water pipe condition assessment: a semiparametric model using gaussian process and survival analysis D Weeraddana, H Hapuarachchi, L Kumarapperuma, NLD Khoa, C Cai Pacific-Asia Conference on Knowledge Discovery and Data Mining, 487-499, 2020 | 4 | 2020 |
| Self-organization of wireless sensor networks based on severity of an emergency environment A Guanathillake, DM Weeraddana, KS Walgama, K Samarasinghe 2013 IEEE 8th International Conference on Industrial and Information Systems …, 2013 | 4 | 2013 |
| Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers D Weeraddana, L Bin, L Zhidong, W Yang, C Fang, P Dean, S Nitin, ... OZwater 2019, 2019 | 3 | 2019 |
| Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting F Cameron-Muller, D Weeraddana, R Chalapathy, N Khoa PAKDD 2021, 2021 | 2 | 2021 |
| Energy consumption forecasting using a stacked nonparametric Bayesian approach D Weeraddana, NLD Khoa, LO Neil, W Wang, C Cai ECML PKDD 2020, 2020 | 2 | 2020 |
| Machine Learning for Water Mains Maintenance D Weeraddana, B Liang, Z Li, Y Wang, F Chen, D Phillips, N Saxena, ... Water e-journal 4 (3), 13, 2019 | 2 | 2019 |
| Pipeline failure data analytics and prediction L Bin, D Weeraddana, L Zhidong, L Shiyang, F Xuhui, W Yang, C Fang OZwater 2018, 2018 | 2* | 2018 |
| Application of near field communication: lounge access in air travel NV Dantanarayana, WGR Jayasinghe, R Sinthuja, DM Weeraddana, ... | 1 | 2011 |
| Identifying Queensland batteries and battery install dates using MSATS interval meter data L O’Neil, W Wang, L Darby, P Goldthorpe, D Weeraddana, K Nguyen, ... | | 2020 |
Malin PremaratneProfessor, Department of Electrical and Computer Systems Engineering, Monash University ClaytonVerified email at monash.edu
