Publications

MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery

Published in The International Journal of Medical Robotics and Computer Assisted Surgery, 2026

A platform-agnostic system for synchronized surgical video and hand and foot tracking, validated on Raven-II and da Vinci Xi.

Recommended citation: Weerasinghe, K., Roodabeh, S. H. R., Hawkins, A., Zhang, Z., Schrader, Z., and Alemzadeh, H. (2026). MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery. The International Journal of Medical Robotics and Computer Assisted Surgery, 22(4), e70220. doi:10.1002/rcs.70220. https://doi.org/10.1002/rcs.70220

EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 40(46), AI for Social Impact Track, 2026

Recommended citation: Weerasinghe, K., Ge, X., Heick, T., Wijayasingha, L. N., Cortez, A., Satpathy, A., Stankovic, J., and Alemzadeh, H. (2026). EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services. Proceedings of the AAAI Conference on Artificial Intelligence, 40(46), 39432-39441. doi:10.1609/aaai.v40i46.41293. https://doi.org/10.1609/aaai.v40i46.41293

Multimodal Transformers for Real-Time Surgical Activity Prediction

Published in 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), 2024

Recommended citation: Weerasinghe, K., Roodabeh, S. H. R., Hutchinson, K., and Alemzadeh, H. (2024). Multimodal Transformers for Real-Time Surgical Activity Prediction. 2024 IEEE International Conference on Robotics and Automation (ICRA 2024). https://arxiv.org/abs/2403.06705

Real-Time Multimodal Cognitive Assistant for Emergency Medical Services

Published in IoTDI 2024: 9th ACM/IEEE Conference on Internet of Things Design and Implementation, 2024

Recommended citation: Weerasinghe, K., Janapati, S., Ge, X., Kim, S., Iyer, S., Stankovic, J. A., and Alemzadeh, H. (2024). Real-Time Multimodal Cognitive Assistant for Emergency Medical Services. 9th ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI 2024). https://arxiv.org/abs/2403.06734

Poster Abstract: SenseEMS - Towards A Hand Activity Recognition and Monitoring System for Emergency Medical Services

Published in IPSN23: The 22nd International Conference on Information Processing in Sensor Networks, 2023

Recommended citation: M Arif Rahman, Keshara Weerasinghe, Lahiru Wijayasingha, Homa Alemzadeh, Ronald D. Williams, and John Stankovic. 2023. Poster Abstract: SenseEMS - Towards A Hand Activity Recognition and Monitoring System for Emergency Medical Services. In The 22nd International Conference on Information Processing in Sensor Networks (IPSN23). Association for Computing Machinery, New York, NY, USA, 310–311. https://doi.org/10.1145/3583120.3589823. https://dl.acm.org/doi/10.1145/3583120.3589823

Using Near-Infrared Spectroscopy for Vein Visualization

Published in 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS), 2021

This paper is about developing a low-cost device which uses near-infrared spectroscopy for vein viusalization compatible with a variety of skin tones.

Recommended citation: K. T. B. Weerasinghe, S. C. Tennakoon, K. N. U. Kularatne, I. Nawinne, R. Ragel and H. Jayakody, "Using Near-Infrared Spectroscopy for Vein Visualization," 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS), Negambo, Sri Lanka, 2021, pp. 363-368, doi: 10.1109/ICIAfS52090.2021.9606126. https://ieeexplore.ieee.org/abstract/document/9606126