Overview
Background
Dr. Thilina Halloluwa is a Teaching Focused Lecturer in the Human-Centred Computing discipline. He is a SEDA accredited educator with over 15 years of academic and industry experience. As an applied researcher, he is passionate about extending research to have non-negative real-world impact. He received a PhD in Human-Computer Interaction from Queensland University of Technology , Australia and an undergraduate degree in Computer Science from Sri Lanka Institute of Information Technology
Prior to joining UQ, Thilina was a Lecturer at the University of Sydney (2023), and a Senior Lecturer at the University of Colombo (2013-2023).
Availability
- Dr Thilina Halloluwa is:
- Available for supervision
Qualifications
- Doctoral (Research) of Computer-Human Interaction, Queensland University of Technology
- Member, Association for Computing Machinery, Association for Computing Machinery
- Member, International Federation for Information Processing, International Federation for Information Processing
Research interests
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Education for all – Attempting to broaden the reach of Education through technology
Often times, people think technology in education means that the teachers will be replaced by machines. However, the impacts a real human beings could have on one’s learning, the social experiences that lead to better education, cannot be replicated by any technology. This research project focus on augmenting this social/collaborative learning experience between students and teachers and exploring how diffract technologies could make students better at learning and teachers better at communicating knowledge.
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Human Money Interaction: Designing for Personal Finances
The use of artificial intelligence (AI) has become more prominent in the corporate world. How do we ensure that human well-being is prioritized when we adopt and accelerate the deployment of such powerful technology, especially within the financial services industry where trust is paramount? How do we develop technology in a responsible way while continuing to innovate? How these technologies can be used to support underserved communities? How can they enhance the existing practices/cultural values? These are the questions I try to find answers for with this project.
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Smart Agro – A Smart Agriculture Project
The world population is expected to reach 9.6 billion before 2050. The United Nations claim that the food production has to increase by 70% just to keep pace. They have also listed several barriers to fulfill this imperative. The Smart Agro project focus on finding solutions pass those barriers.
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Metrix – Assisting managers to make accurate estimates on the Software Projects
Effort estimation is where software teams evaluate the relative size of a task or product backlog item based on how much effort it will require to finish. According to the University of Oxford, more than half of all major IT projects with beginning costs over $15 million massively exceed their budgets. In addition, the cost overruns increase by 15% for every additional year that a project is set to continue, making it more probable that it would go over budget and schedule. Activities involving effort estimation are crucial to the planning and managing of a software project to ensure its timely and cost-effective completion. This project aims at supporting engineers make better decisions on their software project estimations.
Works
Search Professor Thilina Halloluwa’s works on UQ eSpace
2025
Journal Article
Augmenting Human Potential: The Role of LLMs in Shaping the Future of HCI
De Silva, Chameera and Halloluwa, Thilina (2025). Augmenting Human Potential: The Role of LLMs in Shaping the Future of HCI. Interactions, 32 (2), 42-45. doi: 10.1145/3712068
2025
Conference Publication
Multitasking Neural Network for Cricket Team Selection with Complex Dynamics
Weerakoon, Tharika and Halloluwa, Thilina (2025). Multitasking Neural Network for Cricket Team Selection with Complex Dynamics. IEEE. doi: 10.1109/icarc64760.2025.10962897
2024
Conference Publication
Estimating story points in scrum: balancing accuracy and interpretability with explainable AI
Gamage, Isuru Walpita, Rathnayake, R.M.U.A. and Halloluwa, Thilina (2024). Estimating story points in scrum: balancing accuracy and interpretability with explainable AI. 2024 6th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 12-13 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icac64487.2024.10850952
2024
Conference Publication
An automated model for predicting weekly tea auction prices at Colombo tea auction for specific elevations and grades
Ariyaratne, Chandika, Arachchi, Samantha Mathara, Pallewatta, Pandula, Karunanayaka, Kasun, Seneviratne, Gihan and Halloluwa, Thilina (2024). An automated model for predicting weekly tea auction prices at Colombo tea auction for specific elevations and grades. 2024 6th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 12-13 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icac64487.2024.10851051
2024
Conference Publication
Understanding use of Large Language Models in Healthcare: An HCI Scoping Review
Bandara, Pradeepa, Halloluwa, Thilina and Vyas, Dhaval (2024). Understanding use of Large Language Models in Healthcare: An HCI Scoping Review. OzCHI 2024: 36th Australian Conference on Human-Computer Interaction, Brisbane, QLD Australia, 30 November - 2 December 2024. New York, NY United States: Association for Computing Machinery.
2024
Journal Article
A dataset of unmanned aerial vehicle multispectral images acquired over a field to identify nitrogen requirements
Fonseka, C. L. I. S., Halloluwa, Thilina, Hewagamage, K. P., Rathnayake, Upul and Bandara, R. M. U. S. (2024). A dataset of unmanned aerial vehicle multispectral images acquired over a field to identify nitrogen requirements. Data in Brief, 54 110479, 1-8. doi: 10.1016/j.dib.2024.110479
2024
Conference Publication
MangoDB - A TJC Mango dataset for deep-learning-based on classification and detection in precision agriculture
Jayaweera, Sasadara, Sewwandi, Piyumika, Tharaka, Dimuthi, Pallewatta, Pandula, Halloluwa, Thilina, Wickramasinghe, Manjusri, Karunanayaka, Kasun and Arachchi, Samantha Mathara (2024). MangoDB - A TJC Mango dataset for deep-learning-based on classification and detection in precision agriculture. 2024 4th International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 21-24 February 2024. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icarc61713.2024.10499698
2024
Conference Publication
Quality grading methods for greenhouse grown crops using computer vision and machine learning - a review
Pallewatta, Pandula, Karunanayaka, Kasun, Arachchi, Samantha Mathara, Halloluwa, Thilina and Seneviratne, Gihan (2024). Quality grading methods for greenhouse grown crops using computer vision and machine learning - a review. IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, IL, United States, 3-6 November 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/IECON55916.2024.10905669
2024
Conference Publication
BellCrop - A bell pepper leaf dataset for disease classification and yield enhancement using machine learning
Pallewatta, Pandula, Halloluwa, Thilina, Karunanayaka, Kasun, Seneviratne, Gihan and Arachchi, Samantha Mathara (2024). BellCrop - A bell pepper leaf dataset for disease classification and yield enhancement using machine learning. IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, IL, United States, 3-6 November 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/IECON55916.2024.10905325
2023
Journal Article
Video based action detection for online exam proctoring in resource-constrained settings
Felsinger, Dilky, Halloluwa, Thilina and Fonseka, Ishani (2023). Video based action detection for online exam proctoring in resource-constrained settings. Education and Information Technologies, 29 (10), 12077-12091. doi: 10.1007/s10639-023-12385-1
2023
Conference Publication
Effective identification of nitrogen fertilizer demand for paddy cultivation using UAVs
Illesinghe, Rusiri, Arachchi, Shayan Wickrama, Kavikarage, Heshan, Karunarathna, Anupama, Karunanayaka, Kasun, Halloluwa, Thilina and Rathnayake, Upul (2023). Effective identification of nitrogen fertilizer demand for paddy cultivation using UAVs. IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 16-19 October 2023. New York, NY USA: IEEE Computer Society. doi: 10.1109/iecon51785.2023.10312483
2023
Conference Publication
Virtual reality based approaches for post ischemic stroke rehabilitation: current practices and future perspectives
Wickramasinghe, Buddhi, Karunanayaka, Kasun, Halloluwa, Thilina and Cheok, Adrian David (2023). Virtual reality based approaches for post ischemic stroke rehabilitation: current practices and future perspectives. 2023 3rd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, 23-24 February 2023. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icarc57651.2023.10145731
2022
Book Chapter
UrbanAgro: utilizing advanced deep learning to support Sri Lankan urban farmers to detect and control common diseases in tomato plants
Hettiarachchi, Dilsha, Fernando, Vishmanthi, Kegalle, Hiruni and Halloluwa, Thilina (2022). UrbanAgro: utilizing advanced deep learning to support Sri Lankan urban farmers to detect and control common diseases in tomato plants. Application of Machine Learning in Agriculture. (pp. 263-282) edited by Mohammad Ayoub Khan, Rijwan Khan and Mohammad Aslam Ansari. London, United Kingdom: Academic Press. doi: 10.1016/b978-0-323-90550-3.00010-2
2021
Conference Publication
Multisensory augmented reality
Karunanayaka, Kasun, Nijholt, Anton, Halloluwa, Thilina, Ranasinghe, Nimesha, Wickramasinghe, Manjusri and Vyas, Dhaval (2021). Multisensory augmented reality. Multisensory Augmented Reality, Virtual, 30 Aug 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-85607-6_77
2021
Conference Publication
A rule based approach to minimize false-positive declines in Electronic Card Not Present financial transactions using feature engineering techniques
Delgolla, Madhushika, Halloluwa, Thilina and Rathnayake, Anuradha (2021). A rule based approach to minimize false-positive declines in Electronic Card Not Present financial transactions using feature engineering techniques. 2021 21st International Conference on Advances in ICT for Emerging Regions (ICter), Colombo, Sri Lanka, 2-3 December 2021. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icter53630.2021.9774815
2021
Journal Article
Exploring entrepreneurial activities in marginalized widows: a case from rural Sri Lanka
Rathnayake, Upul Anuradha, Halloluwa, Thilina, Bandara, Pradeepa, Narasinghe, Medhani and Vyas, Dhaval (2021). Exploring entrepreneurial activities in marginalized widows: a case from rural Sri Lanka. Proceedings of the ACM on Human-Computer Interaction, 5 (CSCW1) 142, 1-24. doi: 10.1145/3449216
2021
Journal Article
Message from the Conference Co-Chairs
Halloluwa, Thilina and Welgama, Viraj (2021). Message from the Conference Co-Chairs. 21st International Conference on Advances in ICT for Emerging Regions, ICter 2021 - Proceedings. doi: 10.1109/ICter53630.2021.9774828
2019
Journal Article
What they can and cannot: a meta-analysis of research on touch and multi-touch gestures by two to seven-year-olds
Samarakoon, Uthpala, Usoof, Hakim and Halloluwa, Thilina (2019). What they can and cannot: a meta-analysis of research on touch and multi-touch gestures by two to seven-year-olds. International Journal of Child-Computer Interaction, 22 100151, 1-12. doi: 10.1016/j.ijcci.2019.100151
2019
Journal Article
More than step count: designing a workplace-based activity tracking system
Vyas, Dhaval, Halloluwa, Thilina, Heinzler, Nikolaj and Zhang, Jinglan (2019). More than step count: designing a workplace-based activity tracking system. Personal and Ubiquitous Computing, 24 (5), 627-641. doi: 10.1007/s00779-019-01305-1
2019
Other Outputs
Human money interaction: designing for personal finances in the developing countries
Halloluwa, Halloluwa Kankanamalage Thilina C. (2019). Human money interaction: designing for personal finances in the developing countries. PhD Thesis, Science and Engineering Faculty, Queensland University of Technology. doi: 10.5204/thesis.eprints.129131
Supervision
Availability
- Dr Thilina Halloluwa is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Learning in the Digital Age: Investigating the Role of Large Language Models to Address Dropout Rates in Higher Education
Principal Advisor
Other advisors: Dr Dhaval Vyas
Media
Enquiries
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