With WAM 80+, 2021 UNSW Dean's list.
Supervised by Dr. Vidhyasaharan Sethu, Associate Professor Beena Ahmed, Dr Sirojan Tharmakulasingam.
Abstract: Apply the AL/ML method to automatically identify and segment coronary artery from CTCA images. Explore the methods to automatically infer the blockage in the vessel.
Worked with a PHD student, assist in implementing some hardware-related implementations in paper.
Used Raspberry Pi to get the image generated from the AI model (stable diffusion) and then drive the LED matrix for display. Exploring the interaction between generated content and people.
Leant some image processing technique like affine transformation.
Honour Thesis: Edge Device for Monitoring Bird Species, UNSW
Supervised by Professor Beena Ahmed, co-superviosr Dr Sirojan Tharmakulasingam, Assessor Eliathamby Ambikairajah
Sep 2024 - Present
Sydney, Australia
Abstract: The goal of this project is to realize an automated recording unit capable of obtaining high-quality bird acoustic data in edge environments and automatically filtering segments without bird sounds
"Taste of Research" Scholarship Project: Automatic Coronary Artery Blockage Identification, UNSW
Supervised by Dr. Vidhyasaharan Sethu, Associate Professor Beena Ahmed, Dr Sirojan Tharmakulasingam.
November 2023 - Sep 2024
Sydney, Australia
Abstract: This project proposes a fully automated coronary artery obstruction identification and analysis process