Curriculum Vitae

2024

Manusha Karunathilaka, Shaolun Ruan, Linping Yuan, Jiannan Li, Zhiding Liang, Kavinda Athapaththu, Qiang Guan, Yong Wang. (Work in progress).

2023

Nilukshan Krishnaram, Juzly Ahamed, Nitharshana Sathyamoorthy, Damitha Sandaruwan, & Kavinda Athapaththu. (2023). Skeletal point analysis to determine the accuracy of forehand smash shots played by badminton players. In The international journal on advances in ict for emerging regions (icter).

doi.org/10.4038/jnsfsr.v52i1.12141

2023

Purushoth V., Piyathilake V., Athapaththu K., Sandaruwan D., Hettiarachchi E., & Sayakkara A. (2023). High-tech eyes on marine pollution: Multispectral uav imagery for marine debris monitoring in sri lanka. In 8th international conference on information technology research (icitr).

doi.org/10.1109/ICITR61062.2023.10382866

2020

W.M.U. Fernando, K.D. Sandaruwan, & A.M.K.B. Athapaththu (2023). Taekwondo poomsae movement evaluation using skeleton points. In The international journal on advances in ict for emerging regions (icter).

doi.org/10.4038/jnsfsr.v52i1.11986

2020

Athapaththu, A. M. K. B. , Grero, E. H., Perera, S. M., & Fernando, M. G. N. A. S. (2020). Forecasting better prices for trip packages based on historical sales data and related factors: In the context of europe railway tourism. In 2020 20th international conference on advances in ict for emerging regions (icter) (pp. 238–243).

doi.org/10.1109/ICTer51097.2020.9325480

2024

Visual Analytics for Semiconductor Discovery

This is an ongoing research on leveraging visualizations for semiconductor discovery.

2024

Intuit: Explain quantum computing concepts via ar-based analog

This project addresses the challenges posed by the abstract nature of quantum computing using augmented reality (AR).

2023

Multi-spectral image-based trash detection and classification on marine water bodies

The work presented in this study utilizes multispectral UAV imagery to monitor marine debris in a coastal area of Ambalangoda, Sri Lanka. For the automated detection of marine debris in captured images, this work replicates the state-of-the-art CutPaste method for region detection and utilized the ResNet-18 model with Faster R-CNN for the final classification of marine debris instances. The implemented approach demonstrated a classification accuracy of approximately 60% in automatic marine debris detection, laying the groundwork for potential enhancements in the future.

2022–2023

Taekwondo Poomsae movement evaluation using skeleton points

The major research problem addressed in this study was the issue of subjectivity in the domain of Poomsae evaluation using traditional methods. In this study, Taekwondo movements were evaluated using two different models; A Dynamic model and an LSTM-based ML model. Both models were evaluated with the help of domain experts and it was found out that the dynamic model performed better in classifying correct and incorrect poses than the ML model.

2022–2023

Skeletal model analysis to determine the accuracy of smash shots played by badminton players

The objective of this research is to evaluate Badminton smash shots so that players can improve their playing style. A dynamic model and a ML model using Random Forest Classifier were pro- duced , and evaluated. In addition to this the dynamic model was adapted to be able to compare the performance of two players.

2019-2020

Forecasting better prices for Flam Railway trip packages

As the undergraduate final year project, the aim of this research was to study and analyze differ- ent machine learning approaches for price forecasting and create a hybrid model for forecasting better prices to maximize the revenue. Model was created in Python using Keras , Tensorflow, sklearn and statsmodels. The average theoretically estimated increase in revenue for the hybrid model was 79.25%.

2018-2019

Drone pilot training simulation research

This research was carried out to establish a machine learning approach which will generate supe- rior results than a mathematical model. Technologies used were Keras, TensorFlow and Microsoft AirSim. A 3DR Solo drone was used for data collection.

2018-2019

Fraud detection in finance

Several machine learning approaches were tested on the dataset obtained from Kaggle, "Synthetic data from a financial payment system" . It was found that Autoencoders produced a test accuracy of 91%. Furthermore it was discovered that XGBoost produce better results over KNN.

2017-2018

PortalS

As the second year undergraduate project a web portal was developed to provide information about Soma Cube. Technologies used were HTML, CSS, JS, PHP and Unity

2019 - Present

Mobile games and apps

Mobiles games and applications developed for Game Jams and as a hobby. Google Playstore link : https://play.google.com/store/apps/dev?id=7212642260519472072

2016 - 2020

BSc. (Hons.) Information Systems

First Class, GPA 3.54

2000 - 2013

Physical Science

Z Score 1.2

2024 July - Present

Research Engineer

at College of Computing and Data Science

2024 Jan - 2024 June

Research Engineer

at School of Computing and Information Systems

2021 Nov - 2023 Dec

Lecturer (Probationary)

at Department of Computation and Intelligent Systems

2020 Oct - 2021 Nov

Temporary Assistant Lecturer

2020 Mar - 2020 Oct

Temporary Instructor

2018 Aug - 2019 Feb

Research Assistant Intern

at Modeling and Simulation Research Lab

2016 - Present

Freelancing Web Developer

2017 - Present

Freelancing Python Developer

2020 - 2023

Teaching

As a lecturer, assistant lecturer and instructor, I conducted variety of lectures, tutorials and practicals. Main courses were Computer Systems, eBussiness Stratergy, eLearning and Instructional Design, Enterprise Applications, ERP Systems, Game Development, Graphics II, Laboratory II, Rapid Application Development.

2020 - 2023

Supervising

As a staff member in University of Colombo School of Computing, I am involved in supervising several undergraduate group projects; both 2nd year and 3rd year and co supervising research projects. Furthermore, I have supervised industry placement projects for undergraduates.

2020 - 2023

Reviewing Research Papers

I contributed as an reviewer for ICTer conference organized by University of Colombo School of Computing. I mainly reviewd papers related to machine learning and its applications

2020 - Present

Knowledge Sharing

I’ve contributed to several session organized by different organization as a resource person to share my knowledge. I also maintain a blog at www.ksoftlabs.com to share my knowledge on various subject areas.

2020

3D modeling and Mapping

I was involved in preparing virtual tour of Colombo University Computer Museum ( emuseum.ucsc.cmb.ac.lk ). Several historical equipment were scanned using LiDAR technology and refined using Blender.

2024

Reviewer

CHI’24

2024

Web Specialist

IEEE Region 10 Young Professionals

2023

Webmaster

IEEE Region 10 Newsletter

2022

Track Chair

Human Computer Interactions Track at ICTer 2022

2022

Reviewer

ICTer 2022

2022

Technical Program Committee Member

International Conference of Advances in Technology and Computing 2022 (ICATC 2022)

2022-2024

Webmaster

IEEE Region 10 Robotics Competition

2021

Track Chair

Applications of IT at ICTer 2021

2022

Reviewer

at ICTer 2021

2021 - 2022

Editor

IEEE Young Professionals Sri Lanka

2021 - 2022

Vice Chair and Webmaster

IEEE IAS Sri Lanka Chapter

2020

Web and I.T. Chair

IEEE PES Global Student Congress

2018 – 2020

Webmaster

Sri Lanka IEEE Section Student Activities Committee (SAC)

2018 – 2019

Member of Executive Board

UCSC ISACA Student Group

2016 – 2017

Organizing Committee Member

iCS Codelab, iHack and iFest organized by UCSC ISACA Student Group

2016

Mentor

Google Code-In

2022 Jan - Present

SEDA certificate

(In Progress)

2022 Jan - 2023 Jun

Certificate in Teaching in Higher Education (CTHE)

2023 Jan

GRE General Test

Verbal Reasoning - 156
Quantitative Reasoning - 160
Analytical Writing - 3.0

2022 Jun

IELTS Academic - 8.5

Listening 9.0
Reading 9.0
Writing 7.0
Speaking 8.0

2020 Oct – 2020 Dec

Making Teaching Effective (MaTE)

2015

Charted Institute of Management Accountants (CIMA)

C01 Fundementals of Management Accounting
C03 Fundementals of Business Mathematics
C04 Fundementals of Business Economics

Languages

English (Fluent), Sinhala (Native), Tamil (Fair)

Coding

Python, php, R

Databases

MySQL, MongoDB

Web Dev

Html, css, JavaScript

Graphic

Adobe Photoshop, Adobe Illustrator

Misc

Academic research, teaching, training, LATEX typesetting and publishing.