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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

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

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

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.