Lecturer (Department of Electrical and Electronic Engineering)
Ms. Umaya Bhashini Balagalla obtained her B.Sc.(Hons) Degree in Biomedical Engineering with a second class upper division in 2016 from General Sir John Kotelawala Defence University. Soon after completing her undergraduate studies, she was recruited as an Instructor in the Department of Electrical, Electronic and Telecommunication Engineering, Faculty of Engineering, General Sir John Kotelawala Defence University. To start her graduate studies, she joined the Department of Electrical and Electronic Engineering, Faculty of Engineering, University of Sri Jayewardenepura in 2017 as a Demonstrator. Since 2018, she has been working in the same department as a lecturer while conducting her graduate studies research work.
Balagalla, U.B., Jayasooriya, J.V.D., Alwis, C. and Subasinghe, A., 2022. Automated Segmentation of Standard Scanning Planes to Measure Biometric Parameters in Fetal Ultrasound Images – A Survey. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization – Accepted.
Balagalla, U.B., Samarabandu, J. and Subasinghe, A., 2022. Automated human chromosome segmentation and feature extraction: Current trends and prospects. F1000Research, 11(301), p.301.
Balagalla, U.B., Sivapatham,S., Munasinghe, K., Subasinghe, A., Alwis, C., Wijewardhana, U. and Dharmaweera, N., 2019. Efficient Medical Video Streaming by Pre-Processing and Network Traffic Prioritization in Real Time. 2019 International Conference on Advanced Technologies for Communications (ATC), 17 – 19 October, Hanoi, Vietnam. (DOI: 10.1109/ATC.2019.8924511).
Balagalla, B.R.M.G.W.U.B., de Alwis, C., Subasinghe, S.A.A.M., 2018. A Review on Ultrasound Image Pre-processing, Segmentation and Compression for Enhanced Image Storage and Transmission, 11th International Research Conference of General Sir John Kotelawala Defense University, Colombo, Sri Lanka, 13-14 September.
Balagalla, B.R.M.G.W.U.B., 2017. Artificial Bone Substitutes and Bone Tissue Engineering as Alternative Methods for Natural Bone Repair and Regeneration in Severe Traumas and Complex Clinical Conditions of Bones, 111th Annual Sessions of the Institution of Engineers, Sri Lanka, Colombo, Sri Lanka, 23-24 October.
Balagalla, B.R.M.G.W.U.B., 2017, Ayurvedic Pulse Diagnostic Techniques to Develop Modern Non-invasive Disease Diagnostic Devices, 10th International Research Conference of General Sir John Kotelawala Defence University, Colombo, Sri Lanka, 3-4 August.
Detection and Classification of Breast Cancer Lesions in Mammography Images.
Supervising a group of final year undergraduates of Faculty of Engineering, University of Sri Jayewardenepura, Sri Lanka. The main objective of this research project is to detect breast cancer lesions in mammography images of dense breasts using deep learning algorithms.
Cardio-X
Supervised a group of undergraduates of Faculty of Engineering, University of Sri Jayewardenepura in developing a pre-heart attack detector. This system is incorporated to a Mobile App, captures ECG in real-time, analyzes them using deep learning algorithms and predicts heart attacks.
Won the title “Undergraduate Inventor of the Year (UIY) 2022” and “Best Market Viable Product” at the competition UIY 2022 organized by IESL, Sri Lanka.
Ms. Umaya Bhashini Balagalla,
Department of Electrical and Electronic Engineering,
University of Sri Jayewardenepura
umayabalagalla[at]sjp.ac.lk