Keshara Weerasinghe

Keshara Weerasinghe

I am a 4th year PhD student at the Department of Electrical and Computer Engineering, School of Engineering and Applied Sciences, University of Virginia

Publications

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

Published in Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI-26), AI for Social Impact Track, 2025

Recommended citation: Keshara Weerasinghe, Xueren Ge, Tessa Heick, Lahiru Nuwan Wijayasingha, Anthony Cortez, Abhishek Satpathy, John Stankovic, Homa Alemzadeh. 2026. EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services. To appear in Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI-26), AI for Social Impact Track. arXiv preprint arXiv:2511.09894. https://arxiv.org/abs/2511.09894

Multimodal Transformers for Real-Time Surgical Activity Prediction

Published in 2024 IEEE International Conference on Robotics and Automation in PACIFICO Yokohama May 13th to 17th, 2024, 2024

Recommended citation: Keshara Weerasinghe, Sayed Hamid Reza Roodabeh, Homa Alemzadeh. 2024. Multimodal Transformers for Real-Time Surgical Activity Prediction: To appear in 2024 IEEE International Conference on Robotics and Automation in PACIFICO Yokohama (ICRA 2024) May 13th to 17th, 2024. https://doi.org/10.48550/arXiv.2403.06705 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: Keshara Weerasinghe, Saahith Janapatim Xueren Ge, Sion Kim, Sneha Iyer, John A Stankovic, Homa Alemzadeh. 2024. Real-Time Multimodal Cognitive Assistant for Emergency Medical Services: To appear in 9th ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI 2024). https://doi.org/10.48550/arXiv.2403.06734 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