Dr. Chathura Rajapakse

Doctor of Engineering in Computational Intelligence and Systems Science in Tokyo Institute of Technology, Japan

Master of Engineering in Computational Intelligence and Systems Science in Tokyo Institute of Technology, Japan

BSc in Industrial Management from the University of Kelaniya, Sri Lanka

Business Intelligence

Big Data and Analytics

Multi-Agent Systems

Social Simulation

Social Networks

Evolutionary Computation

Knowledge Management

Computational Intelligence and Systems Science

Basnayake, B. M. A. L., & Rajapakse, C. (2019, March). A Blockchain-based decentralized system to ensure the transparency of organic food supply chain. In 2019 International research conference on smart computing and systems engineering (SCSE) (pp. 103-107). IEEE.

Azeez, Y. R., & Rajapakse, C. (2019, March). An application of transfer learning techniques in identifying herbal plants in Sri Lanka. In 2019 international research conference on smart computing and systems engineering (SCSE) (pp. 172-178). IEEE.

Jayalath, S. A., Rajapakse, C., & Senanayake, J. M. D. (2020, September). A microtransaction model based on blockchain technology to improve service levels in public transport sector in Sri Lanka. In 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE) (pp. 82-89). IEEE.

Thanujan, T., Rajapakse, C., & Wickramaarachchi, D. (2021, September). A community-based hybrid blockchain architecture for the organic food supply chain. In 2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 4, pp. 77-83). IEEE.

Jayabodhi, L. W. D. C., Rajapakse, C., & Senanayake, J. M. D. (2020, September). Minimization of fraudulent activities in land authentication through Blockchain-based system. In 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE) (pp. 68-74). IEEE.

Rajapakse, C. (2020, September). Ecosystem mapping technology to understand innovation challenges in MSME Sector: An analysis of the handicraft sector in Sri Lanka. In 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE) (pp. 142-146). IEEE.

Thanujan, T., Rajapakse, C., & Wickramaarachchi, D. (2020, October). A review of blockchain consensus mechanisms: State of the art and performance measures. In 13th International research conference holistic approach to national growth and security (pp. 315-326).

Peiris, P. P. C., Rajapakse, C., & Jayawardena, B. (2020, September). Blockchain-based distributed reputation model for ensuring trust in mobile adhoc networks. In 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE) (pp. 51-56). IEEE.

Ranawaka, U. M., & Rajapakse, C. (2020, September). Predicting examination performance using machine learning approach: A case study of the Grade 5 scholarship examination in Sri Lanka. In 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE) (pp. 202-209). IEEE.

Rajapakse, C., & Terano, T. (2013). An agent-based model to study the evolution of service systems through the service life cycle. Int. J. Energy, Inf. Commun, 4(5).

Perera, R., Wickramarachchi, R., & Rajapakse, C. (2023, March). Applications of Blockchain Technology in Project Management—A Systematic Literature Review. In 2023 2nd International Conference for Innovation in Technology (INOCON) (pp. 1-7). IEEE.

Dunuwila, P. M., & Rajapakse, R. A. C. P. (2020, December). Evaluating optimal lockdown and testing strategies for COVID-19 using multi-agent social simulation. In 2020 2nd International Conference on Advancements in Computing (ICAC) (Vol. 1, pp. 240-245). IEEE.

Rajapakse, C., & Terano, T. (2015). An agent-based implementation of service system interactions based on the ISPAR model. In Agent-Based Approaches in Economic and Social Complex Systems VIII: Post-Proceedings of The AESCS International Workshop 2013 (pp. 177-188). Springer Japan.

Thanujan, T., Rajapaksha, C., & Wickramarachchi, D. N. (2022). Scalable and socially inspired blockchain architecture for the organic food supply chain. Journal of Innovation Information Technology and Application (JINITA), 4(2), 163-177.

Nimalasingam, N., Senanayake, J., & Rajapakse, C. (2022, September). Detection of IoT malware based on forensic analysis of network traffic features. In 2022 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 5, pp. 122-130). IEEE.

Dinendra, H., Rajapakse, C., & Asanka, P. D. (2022, September). Personalized classification of non-spam emails using machine learning techniques. In 2022 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 5, pp. 171-177). IEEE.

Rajapakse, C., Ariyarathna, W., & Selvakan, S. (2024). A Self-Efficacy Theory-based Study on the Teachers’ Readiness to Teach Artificial Intelligence in Public Schools in Sri Lanka. ACM Transactions on Computing Education, 24(4), 1-25.

Asanka, P. D., Rajapakshe, C., & Takahashi, M. (2023, February). Identifying unusual human movements using multi-agent and time-series outlier detection techniques. In 2023 3rd International Conference on Advanced Research in Computing (ICARC) (pp. 1-6). IEEE.

Gunasekara, P. T., & Rajapakse, C. (2022, February). A blockchain-based model to improve patent authentication and management process. In 2022 2nd International Conference on Advanced Research in Computing (ICARC) (pp. 338-343). IEEE.

Ranaweera, E. H., & Rajapakse, C. (2016). Instagram sentiment analysis: Discovering tourists’ perception about Sri Lanka as a tourist destination.

Rajapakse, C., & Terano, T. (2013). Modeling Value Co-creation Process in Complex Service Systems Using Kauffman's NKCS Architecture. In Advanced Methods and Technologies for Agent and Multi-Agent Systems (pp. 71-80). IOS Press.

Ariyarathna, G. D. W. M., & Rajapakse, R. A. C. P. (2024, April). Teaching Artificial Intelligence in Junior Secondary Education Using an Authentic Approach: A Qualitative Evaluation of the Grade Six AI Learning Module in Sri Lanka. In 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 7, pp. 1-7). IEEE.

Tissera, M. N. S., Asanka, P. P. G. D., & Rajapakse, R. A. C. P. (2024, February). Enhancing customer segmentation using large language models (LLMs) and deterministic, independent-of-corpus embeddings (DICE). In 2024 4th International Conference on Advanced Research in Computing (ICARC) (pp. 73-78). IEEE.

Paththinige, P., & Rajapakse, C. (2022, September). Evaluating the Factors that Affect the Adoption of Blockchain Technology in the Pharmaceutical Supply Chain-A Case Study from Sri Lanka. In 2022 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 5, pp. 363-370). IEEE.

Wasana, P. P., & Rajapakse, C. (2021). Adoption of Blockchain Technology to the Sri Lankan Pharmaceutical Supply Chain: An Analysis of Factors.

Jayawardhana, B. A. S. S. B., & Rajapakse, R. A. C. P. (2020, December). A deep learning approach to outbreak related tweet detection. In 2020 2nd International Conference on Advancements in Computing (ICAC) (Vol. 1, pp. 103-107). IEEE.

Wijayasiiriwardane, K. L., & Rajapakse, R. A. C. P. (2018). Investigating the impact of data and analytics strategy in performance of private firms in Sri Lanka. Research Symposium on Pure and Applied Sciences, 2018 Faculty of Science, University of Kelaniya, Sri Lanka.

Rajapakse, C., Amarasinghe, L., & Ratnayake, K. (2018). Study on the Social Perspectives of Traffic Congestion in Sri Lanka Through Agent-Based Modeling and Simulation: Lessons Learned and Future Prospects. Innovative Approaches in Agent-Based Modelling and Business Intelligence, 23-41.

Terano, T., & Rajapakse, C. (2014). An agent-based model to study customers' engagement with brands from a service-dominant logic perspective. In Social Simulation Conference.

Ahamed, Z., Asanka, D., & Rajapakse, C. (2024, December). Optimizing Production Efficiency in the Garment Industry: The Role of Predictive Analytics Techniques in Sri Lanka’s Textile Sector. In 2024 8th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI) (pp. 1-6). IEEE.

Wijesinghe, A., Rajapakse, C., & Asanka, D. (2024, February). Artificial Intelligence Model to Suggest Sewing Operations Through Sketch Analysis. In 2024 4th International Conference on Advanced Research in Computing (ICARC) (pp. 97-102). IEEE.

Jayalath, N., & Rajapakse, C. (2023). Agent-Based Gamified Learning Environments for Data Science Education.

Rajapakse, C., Takahashi, M., & Matsuura, Y. (2022). Using gamified learning environments for teaching big data analytics in business schools: a constructive review. In INTED2022 Proceedings (pp. 9996-10001). IATED.

Kithmini, M. K., & Rajapakse, R. A. C. P. (2021). Fuzzy Logic-Based Paddy Yield Prediction to Facilitate Weather Index-Based Crop Insurance.

Paththinige, P. W., & Rajapakse, C. (2021). Challenges of Adopting Blockchain Technology to Pharmaceutical Supply Chain–A Case Study from Sri Lankan Health Sector.

Amarasinghe, U. G. L. S., & Rajapakse, R. A. C. P. (2018). Swarm intelligence for urban traffic simulation: Results from an Agent-based modeling and simulation study of the Sri Lankan context. International Research Conference on Smart Computing and Systems Engineering-SCSE 2018.

Rajapakse, C., & Terano, T. (2013). Analyzing the Evolution of Service Ecosystems with respect to Life Cycle Concept through Agent-based Modeling Approach. IW-STEIC 2013, 58.

Weraduwa, S., Kannangara, M., Gayantha, N., Piyumantha, K., & Rajapaksa, C. (2025, February). An Agent-Based Model to Address the Gap in Internship Opportunities for IT Undergraduates in Sri Lanka. In 2025 5th International Conference on Advanced Research in Computing (ICARC) (pp. 1-6). IEEE.

Fernando, W. R., Ariyarathne, D. M. T. W., Dilshan, B. T., Wijerama, N. S., Lahiru, U. P., & Rajapakse, R. A. C. P. (2025, February). Agent-Based Modeling of Human-Elephant Conflict Dynamics: A Simulation Approach Using NetLogo. In 2025 5th International Conference on Advanced Research in Computing (ICARC) (pp. 1-6). IEEE.

Kannangara, M., Rajapakse, C., Asanka, D., & Jayalath, N. (2025, February). Development of a Chat Assistant Using Large Language Models for Personalized Mathematics Tutoring to Overcome Educational Disparities in Sri Lanka. In 2025 5th International Conference on Advanced Research in Computing (ICARC) (pp. 1-6). IEEE.

Ubesigha, L., Rajapaksha, C., Mahanama, T., & Asanka, D. (2025, February). Enhancing Predictive Maintenance in Industry 4.0: Leveraging AI for Optimal Machinery Health Management. In 2025 5th International Conference on Advanced Research in Computing (ICARC) (pp. 1-6). IEEE.

Gayantha, N., Rajapakse, C., & Senanayake, J. (2025, February). Customizable DDoS Attack Data Generation in SDN Environments for Enhanced Machine Learning Detection Models. In 2025 5th International Conference on Advanced Research in Computing (ICARC) (pp. 1-6). IEEE.

Asanka, D., Rajapakshe, C., & Wickramarachchi, D. (2024). A Theory of Planned Behaviour (TPB)-Based Study on the Reluctance of Sri Lankan IT Undergraduates in Pursuing a Software Quality Assurance Career. The International Journal on Advances in ICT for Emerging Regions, 17(4).

Harith, S., Rajapakse, C., Mahanama, T., & Asanka, D. (2024, December). Adaptive Continual Learning for Defect Detection in Dynamic Textile Manufacturing. In 2024 6th International Conference on Advancements in Computing (ICAC) (pp. 211-216). IEEE.

Selvakumar, T., Rajapakse, C., & Jayalath, N. (2024, December). Enhancing Data Science Education: A Systematic Review of Gamified Learning Platforms for Decision-Making Skills Development. In 2024 6th International Conference on Advancements in Computing (ICAC) (pp. 426-431). IEEE.

Ahamed, Z., Asanka, P. D., & Rajapakse, C. (2024, December). Hybrid Predictive Model for Efficiency Forecasting in Garment Production: Integrating Ensemble and Time-Series Approaches. In 2024 9th International Conference on Information Technology Research (ICITR) (pp. 1-6). IEEE.

Rubanathan, A., & Rajapaksha, C. (2024, November). Application of Artificial Intelligence Techniques to Enhance the Solar Power Generation: Case Study in Sri Lanka. In 2024 IEEE Industrial Electronics and Applications Conference (IEACon) (pp. 130-135). IEEE.

Asanka, P. D., Takahashi, M., & Rajapakshe, C. (2024, June). A Study on Outlier Correction Techniques Using Multi-agent Techniques for the Accurate Predictions of Human Mobility. In International KES Conference on Intelligent Decision Technologies (pp. 239-248). Singapore: Springer Nature Singapore.

Dodanwala, T., Asanka, D., Rajapakse, C., & Withanaarachchi, A. (2024, April). Identifying factors of Migration Intention from the Sri Lankan Software Engineering Industry: An Analysis using the Theory of Planned Behavior. In 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 7, pp. 1-6). IEEE.

Fernando, C., Rajapakse, C., & Athauda, R. (2024, April). A study to identify requirements for a workplace learning environment in data science. In 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 7, pp. 1-7). IEEE.

Tissera, M. N. S., Asanka, P. P. G. D., & Rajapakse, R. A. C. P. (2024). A Study of Clustering Approaches Applied to Customer Reviews in the Digital Era. Advances in Technology, 4(02).

Rajapakse, R. A. C. P. A Systematic Review of Worldwide Initiatives on Teaching Artificial Intelligence in Schools.

Ginige, S., Rajapakse, C., Asanka, D., & Mahanama, T. (2023, June). Defaulter Prediction in the Fixed-line Telecommunication Sector using Machine Learning. In 2023 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 6, pp. 1-8). IEEE.

De Silva, M., Rajapakse, C., & Tareq, M. A. (2023). Supporting Technology Investment Decisions for the Sustainable Development of a Country Through Patent Data Analysis: A Case Study on Blockchain-Related Technologies.

Hansika, P., & Rajapakse, C. (2022, February). Development of novel resource flow model towards a digital transformation framework for the Sri Lankan Handicraft supply chain. In 2022 2nd International Conference on Advanced Research in Computing (ICARC) (pp. 278-283). IEEE.

Herath, P., Rajapakse, C., Niwunhella, H., & Neththikumarage, G. (2021). A Simulation Model to Optimize Pre-sewing Operations in the Apparel Industry: A Case Study from Sri Lanka.

Gunasekara, P. T., & Rajapakse, C. (2021). A Consortium Blockchain Model to Overcome Issues in the Global Patent Authentication and Management Process.

Liyanapathirana, C., & Rajapakse, C. (2019). Android Mobile Malware Detection using Deep Ensemble Machine Learning. International Postgraduate Research Conference 2019, Faculty of Graduate Studies, University of Kelaniya, Sri Lanka.

Wickramarathne, I. Y., Jayawardhana, B., & Rajapakse, R. A. C. P. (2018). A self-configuring communication protocol stack for fog-based mobile ad-hoc networks. International Research Conference on Smart Computing and Systems Engineering-SCSE 2018.

Azeez, Y. R., & Rajapakse, R. A. C. P. (2018). An application of image processing techniques in identifying herbal plants in Sri Lanka. Research Symposium on Pure and Applied Sciences, 2018 Faculty of Science, University of Kelaniya, Sri Lanka.

Wijesekara, U. C. K., & Rajapakse, R. A. C. P. (2018). Fintech platform for digitally trusted lending circles based on Ethereum blockchain. Research Symposium on Pure and Applied Sciences, 2018 Faculty of Science, University of Kelaniya, Sri Lanka.

Dissanayake, D. M. L. M., & Rajapakse, R. A. C. P. (2018). An expert system for legal counselling in Sri Lanka. Research Symposium on Pure and Applied Sciences, 2018 Faculty of Science, University of Kelaniya, Sri Lanka.

Basnayake, B. M. A. L., & Rajapakse, R. A. C. P. (2018). Blockchain based solution for Sri Lankan agricultural supply chain to ensure food security. Research Symposium on Pure and Applied Sciences, 2018 Faculty of Science, University of Kelaniya, Sri Lanka.

Ahamed, M. I. S., Dimithrie, P. S., & Rajapakse, R. A. C. P. (2018). Identifying paddy diseases with image processing techniques in Sri Lankan context. Research Symposium on Pure and Applied Sciences, 2018 Faculty of Science, University of Kelaniya, Sri Lanka.

Kulathilake, E. R., & Rajapakse, R. A. C. P. (2018). An agent-based simulation study on the impact of emerging motorbikes swarms on the transportation system in Sri Lanka. Research Symposium on Pure and Applied Sciences, 2018 Faculty of Science, University of Kelaniya, Sri Lanka.

Arachchi, I. M. R., Jayalal, S., & Rajapakse, C. (2018). Classification of vehicles by video analytics for unorganized traffic environments. International Research Conference on Smart Computing and Systems Engineering-SCSE 2018.

Jayathilake, M. V. M., Jayalal, S. G. V. S., & Rajapakse, R. A. C. P. (2017). Detecting and Classifying Vehicles in Video Streams of Homogeneous and Heterogeneous Traffic Environments Using Gaussian Mixture Model.

Jabir, A., & Rajapakse, C. (2016). An approach to personalize learning using big data analytics for higher education.

Wickramarathne, I. Y., Jayawardena, B., & Rajapakse, C. (2016). A zero configuration protocol stack for device-to-device communication in a private Wi-Fi network.

Amarasinghe, U. G. L. S., & Rajapakse, C. (2016). Urban traffic simulation using agent-based modelling: A study in the Sri Lankan context.

Ranaweera Arachchi, I., Jayalal, S., & Rajapakse, C. (2016). Real-time big data video analytics for unorganized traffic environments.

Ranasinghe, P., & Rajapakse, C. (2016). Investigation on the Adaptation of Business Intelligence and Analytics in Sri Lankan Supermarket Sector Organizations.

Rajapakse, C. (2015). エージェント・シミュレーションとサービス・ドミナント・ロジックに基づくカスタマー・ロイヤルティの動的変動に関する研究.

Rajapakse, C. P., & Terano, T. Impact of Individuals’ Power on Organizational Learning: Agent-based Simulation Analysis.

Rajapakse, R. A. C. P., & Wijayanayake, W. M. J. I. (2004). Data Warehousing in Sri Lanka-An insight into local Data Warehousing conditions.

Asanka, P. D., Rajapakshe, C., Takahashi, M., Jayawickrama, J. G., Rupasingha, R. A. H. M., Bodaragama, J., ... & Herath, D. Artificial Intelligence and Machine Learning Track.

Rajapakse, C., & Terano, T. An agent-based Model to Study Customers’ Engagement with Brands from a Service-Dominant Logic Perspective.

Rajapakse, C., & Terano, T. A Social Simulation Study of the Dynamics of Customer Loyalty from the Service-Dominant Logic Perspective. In 5th. World Congress on Social Simulation (p. 221).

Rajapakse, R. A. C. P., & Wijayanayake, W. M. J. I. Data Warehousing and Decision Support-Explore the Sri Lankan Context.