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portfolio
publications
Imagelab : Simplifying Image Processing Exploration for Novices and Experts Alike
Published in Preprint, 2024
Image processing holds immense potential for societal benefit, yet its full potential is often accessible only to tech-savvy experts. Bridging this knowledge gap and providing accessible tools for users of all backgrounds remains an unexplored frontier. This paper introduces “ImageLab,” a novel tool designed to democratize image processing, catering to both novices and experts by prioritizing interactive learning over theoretical complexity. ImageLab not only serves as a valuable educational resource but also offers a practical testing environment for seasoned practitioners. Through a comprehensive evaluation of ImageLab features. we demonstrate its effectiveness through a user study done for a focused group of school children and university students which enables us to get positive feedback on the tool. Our work represents a significant stride toward enhancing image processing education and practice, making it more inclusive and approachable for all.
Recommended citation: Dissanayaka, S., Mudanayaka, O., Halloluwa, T., & De Silva, C. (2024). ImageLab: Simplifying Image Processing Exploration for Novices and Experts Alike. ArXiv. https://arxiv.org/abs/2401.03157
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Temporal Convolution-based Hybrid Model Approach with Representation Learning for Real-Time Acoustic Anomaly Detection
Published in ICMLC2024, 2024
We implemented a novel model archirecture with TCN-CVAE for Real-Time Acoustic Anomaly Detection
Recommended citation: Dissanayaka, S., Wickramasinghe, M., & Marasinghe, P. (2024). Temporal Convolution-based Hybrid Model Approach with Representation Learning for Real-Time Acoustic Anomaly Detection. ArXiv. https://doi.org/10.1145/3651671.3651693
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talks
teaching
UCF L.E.A.R.N Graduate Research Mentor
Research Mentor, University of Central Florida, 2024
This is a description of a teaching experience. You can use markdown like any other post.