Biography
Dr Lasitha Dharmasena is a Senior Lecturer in the Department of Information Systems and Business Analytics in Deakin Business School. Lasitha's research interests are broad, encompassing diverse areas such as information systems, stochastic processes, information retrieval, software/system reliability analysis, production process capability analysis, sequential analysis, optmisation modelling, and statistical modelling of SMS reminder communication networks and patient appointments. Also, she is involved in projects both within the academia as well as in industry, mainly in the area of design and analysis of surveys and experiments and data analysis.
Read more on Lasitha's profileResearch interests
Production Research/Economics
Software/System Reliability
Information retrieval
Optimisation modelling and evolutionary algorithms
Statistical modelling
Affiliations
- Member, Australian Computer Society.
Teaching interests
- Business statistics
- Exploratory data analysis
- Statistical modelling
- Optimisation modelling
- Data Visualisation
Units taught
- MIS171 - Business Analytics
- MSQ171 - Business Data Analysis
- MSQ791 - Data Analysis for Managers
- MIS770 - Analytical Skills for Managers
- MIS770/MIS770A - Foundation Skills in Data Analysis
- MIS771 - Descriptive Analytics and Visualisation
- MIS793 - Business Analytics Project
- MIS775 - Decision Modelling for Business Analytics
- MIS275 - Decision Analytics
Knowledge areas
Mathematical Statistics
Applied Statistics
Operations Research
Data Mining
Professional activities
Awards
2021 International Education Association of Australia’s (IEAA) Best Practice Award - International Students to Responsible Information Systems Professionals
2021 Vice-Chancellor's Service Award
Publications
A Genetic Algorithm-Based Approach to Identify Near-Optimal Non-Equidistant Checkpointing Strategies
Priscila Silva, Brendan Thibault, Vidhyashree Nagaraju, Lasitha Dharmasena, Lance Fiondella
(2022), pp. 1-6, RAMS 2022 : Reliability and Maintainability Symposium : Proceedings of theInstitute of Electrical and Electronics Engineers 2022 conference, Tucson, AZ, USA, E1-1
E Bellucci, L Dharmesena, L Nguyen, H Calache
(2017), Vol. 21, Australasian Journal of Information Systems, C1
A new process capability index for multiple quality characteristics based on principal components
L Dharmasena, P Zeephongsekul
(2016), Vol. 54, pp. 4617-4633, International Journal of Production Research, C1
Teaching data analysis with interactive visual narratives
D Saundage, J Cybulski, S Keller, L Dharmasena
(2016), Vol. 27, pp. 233-247, Journal of information systems education, Boone, N.C., C1
Statistical comparisons of non-deterministic IR systems using two dimensional variance
G Jayasinghe, W Webber, M Sanderson, L Dharmasena, J Culpepper
(2015), Vol. 51, pp. 677-694, Information processing and management, Amsterdam, The Netherlands, C1
Univariate and multivariate process yield indices based on location-scale family of distributions
L Dharmasena, P Zeephongsekul
(2014), Vol. 52, pp. 3348-3365, International journal of production research, Abingdon, Eng., C1
Software reliability growth models based on local polynomial modeling with kernel smoothing
L Dharmasena, P Zeephongsekul, C Jayasinghe
(2011), pp. 220-229, ISSRE 2011 : Proceedings of the 22nd IEEE International Symposium on Software Reliability Engineering, Hiroshima, Japan, E1
Fitting software reliability growth curves using nonparametric regression methods
L Sandamali Dharmasena, P Zeephongsekul
(2010), Vol. 7, pp. 109-120, Statistical methodology, Amsterdam, The Netherlands, C1-1
Estimating process capability index Cpm using a bootstrap sequential sampling procedure
L Dharmasena, P Zeephongsekul, P Castagliola
(2010), Vol. 39, pp. 1097-1110, Communications in statistics - simulation and computation, Philadelphia, Pa., C1-1
L Dharmasena, P Zeephongsekul
(2009), pp. 362-366, Proceedings of the 15th ISSAT International Conference on Reliability and Quality in Design, San Francisco, Calif., E1-1
Two-stage sequential procedure for nonparametric regression estimation
L Dharmasena, P Zeephongsekul, B de Silva
(2008), Vol. 49, pp. 699-716, ANZIAM journal, Adelaide, S. A., C1-1
L Dharmasena, P Zeephongsekul, B de Silva
(2008), Vol. 38, pp. 129-135, IAENG international journal of applied mathematics, Hong Kong, China, C1-1
Bootstrap sequential fixed-width confidence interval estimation of process capability index CPM
L Dharmasena, P Zeephongsekul
(2008), pp. 250-254, Proceedings of the 14th ISSAT International Conference, Orlando, Fla., E1-1
Sequential fixed-width confidence bands for kernel regression estimation
L Dharmasena, B de Silva, P Zeephongsekul
(2008), pp. 1-5, IMECS 2008 : Proceedings of the International MultiConference of Engineers and Computer Scientists 2008, Kowloon, Hong Kong, E1-1
Fixed-width sequential confidence bands in kernel regression using bootstrap approximation
L Dharmasena, B de Silva, P Zeephongsekul
(2008), pp. 1252-1260, ICDM 2008 : Proceedings of the International Conference on Data Management, New Delhi, India, E1-1
Predicting software reliability growth using nonparametric regression
P Zeephongsekul, L Dharmasena
(2008), pp. 337-341, Proceedings of the 14th ISSAT International Conference on Reliability and Quality in Design, Orlando, Fla., E1-1
Application of sequential nonparametric confidence bands in finance
L Dharmasena, B de Silva, P Zeephongsekul
(2007), pp. 1-17, ACE 2007 : Proceedings of 36th Australian Conference of Economists, Hobart, Tas., E1-1
Funded Projects at Deakin
Australian Competitive Grants
Enhancing collaborative learning in information systems business analytics using data visualisation and manipulation techniques
A/Prof Jacob Cybulski, Prof Dineli Mather, Dr Susan Keller, Dr Lasitha Dharmasena, Dr Dilal Saundage
OLT Seed Projects - Office for Learning and Teaching
- 2015: $36,599
- 2014: $7,107
- 2012: $165,000
Supervisions
No completed student supervisions to report