D e p a r t m e n t   o f

Statistics & Computer Science

  • Research on Artificial Intelligence
  • Data Analysis
  • ...

The department has shown a strong interest and contribution in research in areas of Statistics and Computer Science over the past two decades.

Statistical research team particularly carries out research in Statistical Estimation, Statistical modeling, Multivariate methods, Circular Statistics, Spatial Statistics, Data Mining and Bioinformatics. Computer Science research includes Database Systems, Software Engineering, Distributed Computing, Biomedical engineering, Image Processing and Analysis, Service Oriented Architecture (SOA), Semantic Web / Web Services and Semantic Business Processes, Context-aware Service Computing , Mobile and Ubiquitous Computing, Aspect Oriented Computing, Cloud Computing, and Information Technology Security.


PhD Research

An Automated Visual Surveillance System For Human Detection

Supervisors : Dr. Amalka J. Pinidiyaarachchi
Co-supervisors : Prof. C. Fookes. Prof. S. Sridharan, Image and Video Lab, SAIVT Program, Queensland University of Technology, Australia, Dr. A. Ramanan , Department of Computer Science, University of Jaffna
Student : Mr. T. Kokul

Analysis and Enhancement of Software Complexity Metrics

Supervisors : Dr. Amalka J. Pinidiyaarachchi, Prof. S.R. Kodituwakku, Mr. N. Kodagoda (SLIIT)
Student : Mr. D.I. De Silva

The main objective of the research are

  • To identify and analyze the existing Procedure-Oriented (PO) complexity metrics.
  • To propose a set of new complexity factors which have not been considered by both types of complexity metrics (PO and OO) that exist in literature.
  • To conduct an empirical study to propose a standard set of novel cognitive weights for several basic programming elements.
  • To introduce a new OO complexity metric that measures program complexity based on the novel cognitive weights and novel factors that would be proposed via the study and is able to compute the complexity of a software code at any given level (system, class, method, and program statement) based on all its factors.

MPhil Research

Creating Health Awareness through Social Media Analytics

Supervisors : Dr. R.D. Nawarathna
Student : Mr. J. Selvarajah and Mr. T.M.M.B. Abeysinghe

Main objectives of this research are as follows.

  • To develop a general framework to make health recommendations by analyzing health related content shared in the social media.
    • The first phase of this research focuses on sentiment analysis of health-related twitter posts with special attention towards improving health awareness.
    • The framework will be developed as a general framework for social media analytics so that it can be extended to create awareness and recommendations in other areas such as news, jobs, events and valuable tips for day-to-day activities and so on.
  • To provide the overall opinion about a particular subject as a list of top stories or a summary

Identification and Classification of Brain Diseases Using Deep Learning on Neuroimaging Data

Supervisors : Dr. R. Nagulan, Dr. T. Kokul, Dr. Amalka J. Pinidiyaarachchi
Student : Subaramya Srivishagan

Main goal of this research proposal is to investigate and develop a robust machine learning based framework for Alzheimer's disease detection and to produce output that will satisfy the demand of human experts


MSc Research

Brain Tumor Classification using Deep Learning Techniques

Supervisors : Dr. R.D. Nawarathna
Student : Ms. N. Balasooriya

The objective of the research is to develop a software to detect the tumor type within minimum time when a collection of digital MRI data of a single patient is given. To achieve this goal, a deep learning approach is developed. More than 60,000 MRI scans of diagnosed patients and control groups are used to train a deep neural network model.

Fuzzy inference model for employee performance appraisal system for employees in accounts divisions of central government of Sri Lanka

Supervisors : Dr. Ruwanthini Siyambalapitiya
Student : N.A.K.S Dias

Sri Lanka Crime Investigation Decision Support System – Phase II: Advanced Decision Support Tools for Crime Investigation

Supervisors : Dr. R.D. Yapa, Dr. R.D. Nawarathna, Dr. A.J. Pinidiyarachchi, Prof. S.R. Kodituwakku, Dr. J. Gunathilake
Student : Ms. D.R.M.H.K Abeyrathne

Main objectives of this research are as follows.

  • Development of a tool for criminal network analysis
  • Development of a tool for modus operandi analysis
  • Introduction of an information dashboard that provides all important reports required by Sri Lanka Police regarding crimes

Computer Science Projects

A novel approach for followee recommendation in microblogs using machine learning techniques

Supervisors: Dr. Amalka Pinidiyaarachchi
Student: Thamodi Hettikankanamge (S/15/344)

A novel deep learning approach for calssifying and grading Sri Lankan tea samples

Supervisors: Dr. Ruwan Nawarathna
Student: Hashan Premasinghe (S/15/538)

Component identification of railway technical maps with limited number of images using transfer learning

Supervisors: Dr.Erunika Dayaratne
Student: Rochana Rumalshan (S/15/406)

Computer assisted education for children with autisom spectrum disorders based on gaze tracking data

Supervisors: Dr. Amalka Pinidiyaarachchi
Student: Nethmee Gunasekara (S/15/145)

Data visualization in credit risk analytics for rapid insights

Supervisors: Mr. Prabhath Gunathilake
Student: Achini Rathnayake (S/15/401)

Distributed natural learning model in human computer interaction

Supervisors: Dr. Erunika Dayaratne
Student: Nilupul Kodikara (S/15/518)

Geological Map feature extraction for geological mdeling

Supervisors: Dr. Ruwanthini Siyambalapitiya
Student: Nadeeka Dilhan (S/15/534)

High accurate customer demand forecasting for vehicle sales using machine learning

Supervisors: Dr. Erunika Dayaratne
Student: Vinu Ekanayake (S/15/332)

Incorporating bio inspired computing and machine learning algorithms for detecting data poisoning attacks in distributed machine learning

Supervisors: Dr. Ruwanthini Siyambalapitiya
Student: Dulanjana Bandara (S/15/308)

Indentification of non-genuing auto parts using blockchain supply chain management

Supervisors: Dr. Ruwan Nawarathna
Student: Viraj Edirisinghe (S/15/330)

Mitigating risk for investing loans using machine learning

Supervisors: Mr. Prabhath Gunathilake
Student: Tharaki Panabokke (S/15/504)

Network architecture design for online multiplayer games

Supervisors: Dr. Ruwanthini Siyambalapitiya
Student: Lasantha Senanayake (S/15/418)

Next generation AI powered business analytic SMART BOT for manufacturing business

Supervisors: Dr. Ruwan Nawarathna
Student: Wishwa Wijayasinghe (S/15/506)

Reconstruction 3D room layout from a single RGB image using Neural Network approach

Supervisors: Dr. Amalka Pinidiyaarachchi
Student: Isuru Madugalla (S/15/371)

Use of computer vision and transfer learning to identify and manage utility service invoices

Supervisors: Mr. Prabhath Gunathilake
Student: Kaveen Hiniduma (S/15/532)

Statistics Projects

A hierarchical Bayesian regional model for precipitation extremes in Sri Lanka conditioned on southern oscillation

Supervisors: Prof. P. Wijekoon
Student: SPC. Weerasekara

A new fractal - based approach for natural tree forms using statistical distributions

Supervisors: Prof. RD. Yapa
Student: WGA. Gangani

A statistical model to predicts the skeletal pattern of anterior cross bite in orthodontic patients

Supervisors: Dr. LS. Nawarathna
Student: GWDA. Gunarathne

An analysis of factors affecting household income and expenditure in Sri Lanka

Supervisors: Prof. RD. Yapa
Student: RHMIV. Ekanayake

Analysis of biodiversity associated with distribution of butterfly species in Sri Lanka

Supervisors: Prof. P. Wijekoon
Student: PMSS. Kumari

Analyze the way of preventing extinction of marine turtles

Supervisors: Dr. SP. Abesundara, Prof. Rupika S. Rajakaruna
Student: MGNM. Pemadasa

Application of Bayesian hieararchical models for understanding and forecasting dengue epidemics in Sri Lanka

Supervisors: Prof. P. Wijekoon
Student: RGSR. Chandrasiri

Assessing agreement between non-surgical management techniques for large periapical lesions

Supervisors: Dr. LS. Nawarathna
Student: BGM. Lakmali

Cricket match outcome prediction using tweets and the most popular player of social media detection using social network analysis

Supervisors: Prof. RD. Yapa
Student: AN. Wickramasinghe

Detection of novel mucilage modifying genes in Arabidopsis thaliana seeds using lasso modelling

Supervisors: Dr. LS. Nawarathna, Dr. Nadeeka jayawardena
Student: DMNP. Dissanayake

Determination of the socioeconomic factors associated with suicide in Sri Lanka

Supervisors: Dr. LS. Nawarathna
Student: UNJ. Bandara

Exploring the lyrics in billboard year end top 100 songs over the 65 years

Supervisors: Dr. SP. Abesundara
Student: UKAH. Madushani

Identifying the suitable radiation levels and its variation with rain for seven stations in Sri Lanka

Supervisors: Dr. SP. Abesundara, Dr. Jayalath
Student: SPA. Nadeeshani Weerasinghe

Monetary model for the exchange rates of Sri Lanka

Supervisors: Dr. SP. Abesundara, Dr. HTK. Abesundara
Student: RMKC. Rathnayake

Nearly natural models and species coexistence in species rich communities

Supervisors: Dr. PMSA. Ruwan
Student: TLM. Ruberu

Neutral theory & species area relationship in tropical forests

Supervisors: Dr. PMSA. Ruwan
Student: JAAP. Jayasooriya

Neutral theory and species abundance distribution in tropical forests

Supervisors: Dr. PMSA. Ruwan
Student: RSS. Chandrasena

Prevalence and relationships of overweight and obesity in reproductive aged women in Sri Lanka

Supervisors: Prof. RD. Yapa, Dr. HTK. Abesundara
Student: DMHA. Dunumale

Publication productivity of the academic staff members: Scientometric study

Supervisors: Prof. P. Wijekoon
Student: T. Rajitha

Relationship between living standard and milk production in Poonakary divisional secretariat division, Kilinochchi

Supervisors: Prof. P. Wijekoon, Dr. HTK. Abesundara
Student: Pathmanathan Amirthini

Rice varietal identification and path coefficient studies using morphological trait analysis

Supervisors: Dr. SP. Abesundara
Student: HMVPK. Herath