Lakmali Weerasena – Ecological Conservation Award – Best Researcher Award
Dr. Lakmali Weerasena distinguished academic and researcher in the field Ecological Conservation. She specializes in scientific computing with a particular focus on analyzing complex optimization problems and designing efficient algorithms using graph data structures for modeling and data analysis, both theoretically and in practical applications. Her research interests span various domains including engineering, conservation biology, and management science, where she explores emerging models. Drawing from classical optimization techniques, statistical concepts, and modern methodologies such as machine learning, she seeks to address multifaceted challenges. Her contributions extend beyond theoretical investigations to applied research, as evidenced by her publications across diverse areas in applied mathematics, operations research, and statistics in esteemed scientific journals. Furthermore, she actively engages with the academic community by organizing conference sessions and presenting her research as both an invited and contributing speaker, demonstrating her commitment to advancing knowledge and fostering collaboration in her field.
Educations📚📚📚
1. Weerasena L., Aththanayaka C., Bandara D., Advances in the decision-making of set covering
models under uncertainty, Annals of Operations Research (forthcoming, 2024):
(Publisher: Springer-Verlag, Berlin, Germany).
2. Fadul M., Reising D., Weerasena L., Loveless T.D., Sartipi M., Tyler J., Improving RF-DNA
Fingerprinting Performance In An Indoor Multipath Environment Using Semi-Supervised Learning,
IEEE Transactions on Information Forensics and Security (2024): 1-16
(Publisher: IEEE).
3. Fadul M., Reising D., Weerasena L., An Investigation into the Impacts of Deep Learning-based
Re-sampling on Specific Emitter Identification Performance, The Journal of Engineering (2023):
1:11 (Publisher: Wiley, New Jersey, US).
4. Weerasena L., Shier D., Tonkyn D., McFeaters M., Collins C., Sequential approach to reserve
design with compactness and contiguity considerations, Ecological Modelling (2023): 478:10281
(Publisher: Elsevier, Amsterdam, Netherlands). CrossRef Google Scholar
5. Weerasena, L., Ebiefung, A., Skjellum, A., Design of a heuristic algorithm for the generalized
multi-objective set covering problem, Computational Optimization and Applications (2022): 82:717-
751
(Publisher: Springer-Verlag, Berlin, Germany) CrossRef Google Scholar
6. Weerasena, L., Hunt, N., Bandara, D., McKnight, M., Spatially Explicit Multi-objective Mathematical
Model for Invasive Species Management, Biological Invasions (2022): 24:1839–1862
(Publisher: Springer-Verlag, Berlin, Germany) CrossRef Google Scholar
7. Belinskiy, B., Hinton, D., Weerasena, L., Khan, M., On the Sturm–Liouville problem describing
an ocean waveguide covered by pack ice, Applicable Analysis (2021): 1-23
(Publisher: Taylor and Francis, London, United Kingdom) CrossRef Google Scholar
8. Weerasena, L., Advancing local search approximations for multiobjective combinatorial optimization
problems Journal of Combinatorial Optimization (2021): 1-24.
(Publisher: Springer-Verlag, Berlin, Germany) CrossRef Google Scholar
9. Weerasena, L., Belinskiy, B. P., Hiestand, J. W., Optimal effectiveness and efficiency of a fin in
steady-state: multiobjective approach Optimization and Engineering (2020): 1157-1180.
(Publisher: Springer-Verlag, Berlin, Germany) CrossRef Google Scholar
10. Weerasena, L. Algorithm for Generalized multiobjective set covering problem with an application
in ecological conservation, Int. J. of Mathematical Modelling and Numerical Optimisation (2020):
Volume 10 No.2, 167 – 186.
(Publisher: Inderscience, Geneva, Switzerland) CrossRef Google Scholar
11. Belinskiy, B. P., Hiestand, J. W., Weerasena, L., Optimal design of a fin in a steady-state regime.
Applied Mathematical Modeling (2020): Volume 77, Part 2, 1188-1200.
(Publisher: Elsevier, Amsterdam, Netherlands) CrossRef Google Scholar
12. Gunasekera, S., Weerasena, L., Saram, A., Ajumobi, O., Exact inference for the Youden index to
discriminate individuals using two-parameter exponentially distributed pooled samples, Biostatistics
& Epidemiology (2019): 38-61.
(Publisher: Taylor and Francis, London, United Kingdom) CrossRef Google Scholar
13. Weerasena L., Wiecek M.M., A tolerance function for the multiobjective set covering problem.
Optimization Letters (2018): 1–19.
(Publisher: Springer-Verlag, Berlin, Germany) CrossRef Google Scholar
14. Palchoudhury S., Jungjohann K.,Weerasena L., Arabshahi A., Gharge U., Albattah A., Miller
J., Patel K., Holler R., Enhanced legume root growth with pre-soaking in α Fe2O3 nanoparticle
fertilizer. Royal Society of Chemistry Advances (2018): 24075–24083.
(Publisher: The Royal Society of Chemistry, London, United Kingdom) CrossRef Google Scholar
15. Vanderpooten D., Weerasena L., Wiecek M.M., Covers and approximations in multiobjective
optimization. Journal of Global Optimization (2017): 67(3) 601–619.
(Publisher: Springer-Verlag, Berlin, Germany) CrossRef Google Scholar