Mrs. (Eng) Nipuni Hansika.
MSc. in Computing ,SMU (Sigapore), BSc. Eng (Hons) Eng, UoM
Contact info
nipuni.h@eie.ruh.ac.lk
About
Ms. Nipuni Hansika has been a Lecturer (Probationary) in the Department of Electrical and Information Engineering, Faculty of Engineering, University of Ruhuna, Sri Lanka, since August 2026. She holds a Master of Science in Computing from Singapore Management University, Singapore (2026) and a B.Sc. Engineering (Hons) degree in Electronic and Telecommunication Engineering from the University of Moratuwa (2018).
Her research interests lie in Human–Computer Interaction (HCI), Human–AI Interaction, Human-Centered AI, creativity support technologies, embodied and multimodal interaction, and Extended Reality (AR/VR). She has research experience in designing and developing interactive systems, conducting empirical user studies, and exploring technologies that support human creativity, learning, and interaction. Her research contributions have been published at international conferences, including ACM CHI, ACM ICMI, and IEEE TENCON.
She is particularly interested in exploring how emerging AI technologies can enhance human creativity, learning, and decision-making while preserving human agency and supporting meaningful human–AI collaboration.
Research Areas
- Human–Computer Interaction (HCI)
- Human–AI Interaction and Human-Centered AI
- Creativity Support Tools and Computational Creativity
- Artificial Intelligence and Machine Learning
- Embodied and Multimodal Interaction
- Extended Reality (AR/VR) and Immersive Technologies
- Accessible and Inclusive Computing.
Teaching
- EC5203 Machine Learning
Publications
- [1] P. Bolonghege, G. Ganganath, N. Arachchige, P. Benedict Lincoln, and T. Kandappu, “Motor-Mediated Creativity: Bridging Embodied Skill Training and Digital Expression,” Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, pp. 1–23, Apr. 2026, doi: 10.1145/3772318.3791935.
- [2] D. Weerakoon et al., “Gesture Enhanced Comprehension of Ambiguous Human-to-Robot Instructions,” Proceedings of the 2020 International Conference on Multimodal Interaction, pp. 251–259, Oct. 2020, doi: 10.1145/3382507.3418863.
- [3] K. Johari, N. Karumpulli, and U.-X. Tan, “Complementing Speech Interaction Design With Touch for Multi-Robot Systems,” in TENCON 2019 – 2019 IEEE Region 10 Conference (TENCON), IEEE, Oct. 2019, pp. 1400–1405. doi: 10.1109/tencon.2019.8929506.
