News
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Undergraduate Final Year Research Project - Smart Monitoring for Biomedical Applications
My final year research project focuses on using Biomedical Signal Processing techniques to
monitor the wellbeing of pregnant mothers and their unborn fetuses. We improved an in-house
developed fetal movement monitoring device, by expanding it to use multiple accelerometric
sensors to measure the movements and vibrations of a pregnant mother’s abdomen. This project
is being conducted as a joint effort of the Faculty of
Engineering and the Faculty of Medicine of the
University of Peradeniya and consists of a large and diversified research team.
This research experience was invaluable not only in terms of better grasping the subject matter
but also in learning how to function in an interdisciplinary research team.
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Publications
Following are a list of my publications:
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Fetal Movement Identification Using Spectrograms
with Attention Aided Models and Identifying a Set
of Correlating Parameters with Gestational Age
Isuru Thilakasiri,
Praditha Alwis,
Rahal Nanayakkara,
Roshan Godaliyadda,
Parakrama Ekanayake,
Janaka Wijayakulasooriya,
Chathura Rathnayake
IEEE International Conference on Industrial and Information Systems (ICIIS), 2023
preprint
A low cost multi-sensory wearable device to monitor fetal movements, and machine learning based algorithms to estimate fetal age and wellbeing.
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Integrated Video Based Crowdedness Forecasting Framework with a Review of Crowd Counting Models
Isuru Thilakasiri,
Praditha Alwis,
Rahal Nanayakkara,
Roshan Godaliyadda,
Parakrama Ekanayake,
Vijitha Herath,
Janaka Ekanayake
IEEE International Conference on Industrial and Information Systems (ICIIS), 2021
preprint
A unified system to automate crowd monitoring, collect data about crowdedness and predict future crowds.
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4 Degree of Freedom Robotic Arm
A 4 DOF Robotic arm constructed using the MeArm kit.
Programmed to implement pick and place movements using forward kinematics, inverse kinematics and polynomial trajectory planning.
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Micromouse
An autonomous maze navigating robot. Uses a breadth-first search floodfill algorithm to find the center of the maze.
Infrared sensors are used to detect walls. PID control is used for robot motion.
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CAN Bus Display
LED Display to show various engine parameters using CAN Bus data. Implemented using an ESP32.
Can be programmed to work with any OEM or aftermarket ECU.
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Intelligent CCTV system for people tracking
Tracking people using a multi-camera CCTV System.
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Problem setter, ACES Coders v9.0, 2022
Check out the problem here
The solutions are available here
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Delivered a talk on Electric Automobiles
to middle school students of Trinity College, Kandy
15th March, 2023
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Credits to Jon Barron for the template.
Last updated June 2021.
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