Dr. Damayanthi Herath is a highly skilled academic with expertise in Computer Engineering, Machine Learning, and Computational Biology. Her research interests are in Explainable AI, Computer Vision, Machine Learning and -omics data analysis. Further, she is passionate on exploring innovative ways for education including edutainment.
She is currently actively coordinating the Data Engineering and Research (DEAR) group and Computational Biology (CompBio) group at Peradeniya. She currently teaches the Artificial Intelligence related courses at the department: Data Structures and Algorithms, Machine Learning and Data Mining, Artificial Neural Networks and Fuzzy Systems, and Artificial Intelligence and coordinates the final year projects.
Being an advocate for knowledge dissemination, Dr. Damayanthi has organised a number of conference workshops and tutorials on machine learning and computational biology.
Dr. Damayanthi has secured multiple grants together with local and international collaborators. She is driven for inclusive approaches fostering innovation and for enabling diverse perspectives to tackle complex scientific challenges.
Dr. Damayanthi has supervised a number of undergraduate research students, and postgraduate students. Next to teaching, her key passion is to explore and expand the knowledge together with her research students. Her guidance has helped students conducting award winning research and pursuing higher studies at prestigious groups. Through her exceptional collaborative skills, she brings together experts from diverse disciplines, creating multidisciplinary teams that drive innovation and solve complex scientific challenges.
Dr. Damayanthi earned her B.Sc. (Hons) degree in Computer Engineering from University of Peradeniya in 2012. After serving in the industry, she joined back the department as a lecturer in the year 2015. he was a member of the Optimisation and Pattern Recognition Research Group of Melbourne School of Engineering, The University of Melbourne as a PhD candidate from 2015-2018. where she worked on computational models and methods to profile inherently diverse DNA sequencing data which encode genetic information of multiple species and organisms. Her work in PhD will assist in understanding the dynamics of microbes, their effects on our surroundings and functionalities of multiple cells under different environments. She is currently a member of IEEE.
University Research grant 2021 from University of Peradeniya.
Merit Award for research from the National Research Council, Sri Lanka, 2019.
AGTA 2018 The best poster (student) prize – Nov 2018 Australiasian Genomic Technologies Association :
Awarded to the best poster presented at the AGTA 2018 conference, Adelaide, Australia
AGTA Travel award 2018 – Oct 2018 Australian Genomic Technologies Association :Supporting the presentation
of research work at AGTA 2018, Adelaide, Australia (https://agtaconference.org/)
Stawell Scholarship – Jul 2017 Melbourne school of Engineering
GHC Student Scholarship – May 2017 Anita Borg Institute (ABI) : The ABI scholarship for Grace Hopper
Celebration of Computing (GHC) gives the opportunity to outstanding female students and faculty to attend GHC
conference, the world’s largest gathering of women technologists
Melbourne International Fee Remission Scholarship – Jun 2015 University of Melbourne
Melbourne International Research Scholarship – Jun 2015 The University of Melbourne
Scholarship winner to attend 4th South Asian Workshop on Research Frontiers in Computing – May 2014 School
of Computing, National University of Singapore
First Runners up in Tech Day 2013 Blogging competition – Oct 2013 Virtusa
Industrial and Financial Systems (IFS) Gold medal for Excellence in Computer Engineering May 2013 IFS : Awarded
by IFS , Sri Lanka annually appreciating the student who excel in academics being the Computer Engineering field
Top in Faculty of Engineering, University of Peradeniya
Manel Ileperuma scholarship – Mar 2010 Alumni Association of University of Peradeniya
Research projects supervised by Dr. Damayanthi Herath:
An Empirical Study On Prompt Injection Attacks And Defences
Extending and Implementing Process Mining Techniques Prevention and Mitigation
Generating Patient Clinical Letters Using LLMs
Multi Kingdom Binning of Long Read Metagenomes
Software Package To Support Agent Based Modelling Based Decision Making
Acceleration of deep neural network based nanopore super accuracy basecalling
Deep Learning for Side Channel Attacks
Investigating Onchip Sensor Based RPA Attack Vulnerabilities of Light Weight Ciphers
Large Language Models in Education
using machine learning in high stake settings
ABM for Micro Mobility in Sri Lankan Cities
Automated Protein Function Prediction
Using Computer Vision and Agent Based Modelling to Explore the Human Elephant Conflict
Explainable Machine Learning for Real World Resource Constrained Problems
Identifying keywords in legal articles using ML techniques
Revealing miRNA Biomarkers for Alzheimer s Disease using NGS
Please note that here only contain the 'Projects' which were
submitted to the
projects.ce.pdn.ac.lk
as Final Year Research
Projects. The actual list of projects supervised by Dr. Damayanthi Herath may be longer than this.
Research Interests:
Data Engineering
Machine Learning
Metagenomics
Computational Biology
Edutainment
Publications:
DeepSelectNet: deep neural network based selective sequencing for oxford nanopore sequencing
#Instruction sets#Throughput#Software algorithms#Pattern matching#Acceleration#Algorithm design and analysis
Please note that here only contain the 'Publications' affiliated with the
Department of Computer Engineering, which were submitted to the site. To
see the full publication profile, visit theResearchGateorGoogle
Scholarprofile.
