Dr Ragel was appointed a Senior Lecturer in Computer Engineering at the University of Peradeniya
in December 2007 and has been a Professor since October 2017. He has been a Professional Member of
the IEEE and IEEE Computer Society since 2005 and a Senior Member since 2014. He was a visiting
research scholar at the UNSW – Sydney many times, QUT – Brisbane, UIUC – Illinois, and ANU –
Canberra once each.
Prof Ragel has co-authored over 200 peer-reviewed articles on Internet of Things, Wearable
Computing, Bioinformatics, and Artificial Intelligence and Machine Learning. He has won several
best paper awards in conference papers, the most prolific Sri Lankan author award from Elsevier
Research in 2017, and the Presidential award for scientific publication in Sri Lanka in 2018 and
2023. He was also named the top scientist in computer science in Sri Lanka by the AD Scientific
Index in 2021 and 2022 and the best computer scientist in the country from 2023 to 2025. He also
won the National Educator Gold Awards 2024 for Computing, given to the best in each field of the
Higher Education sector.
Prof Ragel received the 2025 IEEE Computer Society Mary Kenneth Keller Computer Science &
Engineering Undergraduate Teaching Award, the first academic to receive this award from the Global
South. This prestigious honor recognizes his outstanding contributions to undergraduate education
through innovative teaching, impactful research, and dedicated service, fostering an inclusive
community of experiential mentorship for undergraduates in Sri Lanka.
Prof Ragel has been the consulting chief executive officer at the Lanka Research and Education
Network (LEARN), the national NREN, since 2017. With his involvement, LEARN was able to step up
for a significant milestone by launching the Asi@Connect Project in Sri Lanka in 2017, which
brought many opportunities for the LEARN Research and Education (R&E) network community to get
involved in utilising the project resources and funds. He has represented Sri Lanka in the
Asi@Connect Governors meeting and has been a Council Member of Asia Pacific Advanced Network
(APAN) since 2017. Since 2020, he is also the Vice-Chair of the Asi@Connect Steering Committee.
With COVID-19 lockdowns, LEARN is helping the university community in the country connect and
engage in productive research and education activities online.
At the National level, Prof Ragel was a Core Group member for Higher Education at the Presidential
Task Force for Education, which was established in 2020. He is a member of the UGC Standing
Committee on the Development of IT Infrastructure and Online Education and the UGC-appointed
committee to develop the Concept of Virtual / Hybrid University. He also served as a member of the
Presidential Committee to Formulate the AI Strategy for Sri Lanka, a committee formulated with the
advancement of Generative AI. He also worked with ICTA Sri Lanka to steer the AI Sri Lanka
initiative, leading the Skills and Curricula pillar. He is also a founder of the AI Forum for
Academics (AIFA). This academic syndicate explores the opportunities and challenges of GenAI in
Higher education based at the University of Peradeniya.
2025 IEEE Computer Society Mary Kenneth Keller Computer Science & Engineering Undergraduate
Teaching Award
The National Educator Gold Awards 2024 for Computing
Best Scientist in CS in the Country from 2023 to 2025 by AD Scientific Index.
Top Scientist in Computer Science in Sri Lanka by AD Scientific Index 2021 and 2022
Tier 4* awardee by the University of Peradeniya for Research Excellence under the Transparent
Research Performance Scheme introduced by the University Grants Commission (UGC) Sri Lanka 2020
Faculty Research Excellence Award 2018 – Faculty of Engineering, University of Peradeniya
Presidential Awards for Scientific Publications in the Year 2018 and 2023
The Scopus most prolific Sri Lankan Author from 2011-16 by MOSTR, COSTi and Elsevier Research,
May 2017
Best Paper Award – The 7th International Conference on Information and Automation for
Sustainability (ICIAfS 2014), Colombo, Sri Lanka
e-Swabhinami 2012 award in the e-Science & Technology Category for the project titled
“Open-source Framework for Lead Identification in Drug Design”
Best Paper Award – The 6th International Conference on Information and Automation for
Sustainability (ICIAfS2012), Beijing, China
Won the First Franklin Pierce Center for Intellectual Property Essay Competition in Sri Lanka
organized by School of Law at University of New Hampshire, 2012
Best student paper award for ICT & Social Transformation track – The 5th International
Conference on Information and Automation for Sustainability (ICIAfS2010)
[36,300 Euro funding through Asi@Connect project from EU: 2021] National Research and Education
Network Needs Assessment
[999,091 Euro funding through Erasmus+ from EU: 2020-2022] Improving Access to Science and
Technology Higher Education in Resource-Poor Institutions through an Open Platform for
Technology Enabled Active Learning Environment (TEAL2.o). The project will be carried out by a
consortium of the following eleven universities and the European Center for Quality: UNIVERSITY
OF PERADENIYA – Sri Lanka, UNIVERSITY OF MORATUWA – Sri Lanka, SLT CAMPUS (PVT) LTD
– Sri Lanka, INDIAN INSTITUTE OF INFORMATION TECHNOLOGY ALLAHABAD – India, RK
UNIVERSITY – India, VELLORE INSTITUTE OF TECHNOLOGY TRUST-VIT UNIVERSITY – India,
ASIAN INSTITUTE OF TECHNOLOGY – Thailand, NARESUAN UNIVERSITY – Thailand,
UNIVERSITATEA TRANSILVANIA DIN BRASOV – Rumania, ALMA MATER STUDIORUM – UNIVERSITA
DI BOLOGNA – Italy, UNIVERSITETET I STAVANGER – Norway, and EUROPEAN CENTER FOR
QUALITY OOD -Bulgaria.
[150,000 Euro funding through Asi@Connect project from EU: 2019-2021] Uplifting Resources to
Deploy IPv6, DNS/DNSSEC, identity access management and monitoring of the network performance
and its security. The activities are (1) Host Workshops in Bhutan, Laos and Sri Lanka to train
NREN technical people on IPv6, DNS/DNSSEC and monitoring of the network performance and
security, and (2) Collaborative effort by LEARN, Royal University Bhutan, LERNET-Laos and APNIC.
Prospective target countries: Laos, Bhutan, Nepal, Cambodia, Afghanistan, Myanmar, Sri Lanka,
Philippines and Vietnam.
Mathuranthagaa Selvaratnam [PhD Candidate]
(co-supervised with Muttukrishnan Rajarajan, City, University of London)
Romiyal George [PhD Candidate]
Plant Diseases Detection (co-supervised with Thuseethan Selvarajah, Charles Darwin University,
Australia)
M Santhanakrishnan [PhD Candidate]
(co-supervised with Thuseethan Selvarajah, Charles Darwin University, Australia and Siyamalan
Manivannan, University of Jaffna)
Kanagasabai Thiruthanigesan [PhD Candidate]
(co-supervised with Ruwan Nawarathna, CS, UoP)
Roshan Pushpakumara [PhD Candidate]
(co-supervised with Isuru Nawinne)
S Nimishan [PhD Candidate]
(co-supervised with Thuseethan Selvarajah, Charles Darwin University, Australia S.
Vasanthapriyan (SUSL))
Research projects supervised by Prof. Roshan G. Ragel:
A Behavioural Plugin Tool For Fake News Identification
AI Dirven Latency Constrained Resource Management In Kubernetes
AI Driven Decision Making Models for Corporate Applications
AI Powered Knowledge Management System
Classification of Motor Imagery EEG based Tasks for Brain Computer Interfacing Applications
Enhancing Multimodal Fusion Techniques for Depression Detection
LowComplexity Algorithms For EnergyEfficient Arrhythmia Classification In Wearable Devices
Peraswarm Active Localization and Navigation
Putting Privacy into Practice
Quality Assessment of Final Root Canal Treatment Using Intra Oral Periapical Radiographs
RISC V Based ASIP for Accelerating DNA Sequence Alignment on Embedded Systems
Solve Issues In Large Code Repositories
Verilog Code Generation With Variations Fine Tuned Large Languag Models
An Empirical Study On Prompt Injection Attacks And Defences
Automated Medical Image Annotation for Dataset Building
DL Based Stereo Matching Estimation
Extending and Implementing Process Mining Techniques Prevention and Mitigation
GPU Acceleration for Deep Learning based Comprehensive ECG analysis
Generating Patient Clinical Letters Using LLMs
Machine Vision For Quality Inspection
Neuromorphic NoC Architecture for SNNs
PeraSwarm Simultaneous Localization and Mapping in Mixed Reality Environment
Using AI in determining alveolar bone loss in Dental X rays to aid in periodontal diagnosis
Virtual Patient Simulator for Skill Training in Dentistry
Acceleration of deep neural network based nanopore super accuracy basecalling
Comprehensive ECG analysis with Deep Learning on GPU accelerators
Improving Trajectory Guided Control Prediction for Autonomous Driving
Large Language Models in Education
Low Complexity Algorithm for Arrhythmia Detection
Music Emotion Recognition
Neuromorphic NoC Architecture for SNNs
OCR and Translation from Sinhala to Tamil for Printed Documents
S2TPVFormer
Virtual Patient Simulator for Skill Training in Dentistry
develop a programming and compiler toolchain for multi agent systems
network anomaly detection
novel compression methods for nanopore raw signal data
Acceleration of DTW algorithm for real time nanopore selective sequencing using GPUs
Enhancing Video Game Experience With Brain Computer Interface
Hardware Cache Switching with Operating System Context Switches
Human Animal Emotion Detection Using ECG and ML Techniques
Smart Agriculture Use of Computer Vision ML and IoT to Improve Crop Productivity
Virtual Patient Simulator for Skill Training in Dentistry
constructing quantum safe leakage resilient public key encryption scheme
neuromorphic architecture
open world object detection and discovery
post quantum cryptographic schemes based on plain lattices
swarm intelligence programming framework
Accelerating Adaptive Banded Event Alignment Algorithm with OpenCL on FPGA
Brain Computer Interface for controlling virtual objects
Hand Gesture Recognition using sEMG
Mixed Reality based Simulation Platform for Swarm Robotics
Real Time Emotion Recognition using Electrocardiogram Analysis
Revealing miRNA Biomarkers for Alzheimer s Disease using NGS
nearIR spectroscopy
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
Prof. Roshan G. Ragel
may be longer than this.
Research Interests:
Embedded Systems
IoT
Accelerated Computing
Reliability and Security
Computational Biology
Micro-architectural Aspects of Embedded Systems Design & Security
Side-Channel Attacks and Countermeasures
Application-Specific Processor Design
Hardware/Software Acceleration of Bioinformatics Algorithms
Publications:
A Comparative Study on Generalized Automated Medical Image Segmentation for Dataset Building
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.