Keshara Weerasinghe

Keshara Weerasinghe

Final-year Computer Engineering PhD candidate at the University of Virginia. I build multimodal sensing systems for healthcare and human activity recognition.

Posts by Collection

portfolio

publications

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

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

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

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

teaching

Voluntary Teaching Assistant

Undergraduate course, University of Peradeniya, Department of Computer Engineering, 2020

Instructed and guided the 2nd year undergraduates through the programming fundamentals, analyzing complex problems, using C language.

Teaching Assistant

Undergraduate course, University of Peradeniya, Department of Computer Engineering, 2020

Assisted in helping students, grading assignments and developing projects/assignments for certain courses. Conducted multiple workshops to improve students knowledge and guide those who need help.

Graduate Teaching Assistant

Graduate/undergraduate course, University of Virginia, Department of Electrical and Computer Engineering, 2023

Assisted in helping students understand embedded systems, basic data structures and programming methodology to support the learning and developing projects in the course ECE 4501-6501, CS 6501: Advanced Embedded Systems that revolves around developing a RTOS for Tiva C Series TM4C123G from Texas Instruments.