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I am a bio{medical} engineer with demonstrated accomplishments in novel health-tech developments. I concluded my undergraduate studies in the Bachelor of Science (B.Sc.) of Biomedical Engineering (Honors) program at the Department of Electronic and Telecommunication Engineering (ENTC), University of Moratuwa, Sri Lanka with a First Class Honors (cGPA: 4.01/4.20) where my thesis was on "Developing a Deep Geometric Framework for Predicting Antibody-Antigen Binding Affinity" advised by Dr. Subodha Charles, Dr. Aravinda Munasinghe, and Dr. Kaushalya Madhawa.
I am aspired towards demystifying ”the untackled” in the health-tech domain and thus interested in the areas of Computational Biology, Geometric Learning, Artificial Intelligence for Healthcare, Medical Instrumentation, and Biomedical {Signal, Image} Processing.
I am currently working as a Research Engineer at the School of Computing and Information Systems, Singapore Management University with A/Prof. Thivya Kandappu and Prof. Archan Misra on understanding temporal dynamics of core cognitive functions through leveraging mainstream wearable devices, while collaborating as a Visiting Graduate Researcher at the Cancer Science Institute at the National University of Singapore with Prof. Yang Zhang and Dr. Jun Liu on geometric learning-guided methods for in-silico therapeutic antibody design.
I have previously worked as a Research Intern at John Neurobionics Laboratory, University of Melbourne under the supervision of A/Prof. Sam E. John where I validated different EEG-based source localization methods for discrete BCIs targeting people with multiple sclerosis and developed gradient-based retinal layer segmentation algorithms for rodent OCT images. As an undergraduate researcher at BRIC, I contributed to designing an EEG acquisition system for neonatal seizure monitoring and developing an AI-backed ECG-PCG synchronized device.
Outside my mainstream research work, I am greatly fascinated by the vast diversity of Astronomy, the strength of Entrepreneurship for a nation and the indispensable logic behind the Law!
I have studied (or currently studying) at:
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Curriculum Vitae (CV):
2025 Apr Two challenge survey papers on event-based eye tracking and image deblurring, which I co-authored, are accepted at CVPRW 2025!
2024 Nov Our paper: "Elemantra: An End-To-End Framework Empowered With Edge AI to Tackle Human-Elephant Conflict", from one of my undergrad works, is accepted at APSCON 2025!
2024 Oct Short paper: "Complex-Valued DNN for Broadband Dielectric Characterization of Dispersive Lossy Materials" is accepted at LACAP 2024! This is out of my collaborative work(s) with A/Prof. David Rodriguez-Duarte at Politecnico di Torino, Italy! My mentoring program experience with A/Prof David was selected as a highlight in IEEE EMBS SMP's article published in IEEE Pulse!
2024 Sep Our works: "EyeTrAES: Fine-grained, Low-Latency Eye Tracking via Adaptive Event Slicing" has been accepted for the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) Journal (Q1) and "EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking" has been accepted for NeurIPS 2024 Datasets & Benchmarks Track! I will be presenting EyeGraph at NeurIPS in Vancouver!
2024 May Started collaborating as a visiting graduate researcher at the Cancer Science Institute of the National University of Singapore with Prof. Yang Zhang and Dr. Jun Liu on geometric learning-guided methods for therapeutic antibody design
2023 Dec Started on-site working at SCIS, SMU and officially graduated from UoM
2023 Oct Preprint of Elemantra and EleThermal dataset were released with the codes and webpage
2023 Oct Invited to be the ambassador of the University of Moratuwa at Fuel Asia 2023
2023 Sep Served as a technical reviewer at IICAIET 2023 [Program Committee]
2023 Aug I was awarded the Migara Ratnatunga Trust Award for the best Biomedical Engineering trainee in 2021/2022 (Category A - All Island First) by the Institution of Engineers, Sri Lanka
2023 Jul Graduated from the Institute of Astronomy, Sri Lanka with a Diploma in Astronomy and Astrophysics while being the Top in the Class of 2019/2020!
2023 May Presented our thesis project to the students of Visaka Vidyalaya, Colombo as a part of the lecture: "AI for Biomedical Engineering" by Dr Ranga Rodrigo
2023 Feb Our Braineocare Project won the best poster award at the Annual Academic Sessions of the Association of Sri Lankan Neurologists 2023
2022 Dec Conducted an invited virtual workshop on "Projects | The talk to kick-start in an AI era" as the inaugural workshop of Brainstorm 2023, the premier healthcare innovation competition in Sri Lanka with 65+ live participants. The recording and the slides of the session could be accessed on YouTube and here respectively
2022 Nov Team AutiDet became a Top 5 Finalist at Fuel Asia 2022 which is Asia's largest university entrepreneurship competition for SDG 3: Good Health and Well-being. Check out our 3-minute pitch here
2022 Oct A subset of the custom dataset which was presented in my SCSE 2022 paper was made publically available for open access of the enthusiastic community to further research!
2022 Aug First single-authored paper: Ensemble Deep Learning for Automated Dust Storm Detection using Satellite Images accepted to SCSE 2022
2022 Jul Team Axon became 1st runners-up at the Spark Challenge 21/22 organized by the Department of Electronic and Telecommunication Engineering, University of Moratuwa [Twitter] [ENTC]
2022 Feb Team Stimulus became winners at the MindXtra Innovation Competition 2022 in the category of "Human-Elephant Conflict" by presenting an IoT-empowered hybrid sensing framework integrated with deep learning
2022 Jan Started a Research Internship in Neural Engineering at the John neuro-bionics laboratory, University of Melbourne under the supervision of Dr. Sam E. John
2021 Nov Team Stimulus wins the 1st Prize at the IEEMBDS 2021
2021 Oct Selected to the Sri Lanka Law College while being national 4th at the entrance examination
2021 Feb Team Phantom wins the International Audience Award at Act In Space 2020
2020 Oct BRIC BraiNeoCare research group became the IEEE SMC Winners at the BR41N.IO Hackathon by proposing an enhanced machine learning framework to decode hand gestures in epilepsy patients using ECoG data
2020 Sep UoM wins first runner-up award in the 2020 CASS COVID-19 Special Student Design Competition
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