Maralanda A.M.M.R.Y.R. and Hameed P.N. (2022). An improved machine learning approach for drug combination-based drug repositioning. Proceedings of 9th Ruhuna International Science & Technology Conference, University of Ruhuna, Matara, Sri Lanka.
Hameed, P. N., Verspoor, K., & Halgamuge, S. (2021). Drug Repositioning Using Sparse Graphs and Subnetwork Identification. Proceedings of 18th Academic Sessions, University of Ruhuna, Matara, Sri Lanka.
Hameed, P. N. (2020). Pairwise Drug Interaction Prediction Integrating Clustering and Classification. Proceedings of International Research Conference of Uva Wellassa University.
Hameed, P. N., Verspoor, K., & Halgamuge, S. (2020). Inferring drug repositioning candidates using subnetwork identification. Proceedings of 7th Ruhuna International Science & Technology Conference.
Hameed, P. N., Verspoor, K., Kusljic, S., & Halgamuge, S. (2018). A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration. BMC bioinformatics, 19(1), 129.
Hameed, P. N., Verspoor, K., Kusljic, S., & Halgamuge, S. (2017). Positive-unlabeled learning for inferring drug interactions based on heterogeneous attributes. BMC bioinformatics, 18(1), 1-15.
Sun, Y., Hameed, P. N., Verspoor, K., & Halgamuge, S. (2016). A physarum-inspired prize-collecting steiner tree approach to identify subnetworks for drug repositioning. BMC systems biology, 10(5), 25-38.
NRC Merit Award for Scientific Research 2017
NRC Merit Award for Scientific Research 2016
Melbourne International Research Scholarship, Australia (2013-2018)
University Prize for Academic Excellence for BSc (Special) Degree (2009/2010)
Joint Secretary - 9th Ruhuna International Science and Technology Conference, 2022
Joint Secretary - 8th Ruhuna International Science and Technology Conference, 2021
Program Committee Member - 3rd International Conference on Pattern Recognition and Intelligent Systems PRIS- 2021
Committee Member - COVID-19 Relief Committee,2020
Department Coordinator - (Industrial training and research project (ITRCC) 2019-2020