I am a first year PhD student in Electrical and Computer engineering at the University of Maryland - College Park (Fall 2025 Cohort).

Prior to this, I completed my BSc in Computer Engineering from the University of Peradeniya, Sri Lanka, graduating with First Class Honors and a perfect GPA of 4.00/4.00 in December 2023.

My primary research focus is on applying machine learning and signal processing techniques techniques for healthcare applications, particularly in developing diagnostic and assistive devices.

isurid@umd.edu | Resume | Github | LinkedIn | Google Scholar

Recent Highlights

Projects

Early Detection of Oral Cancer Using Artificial Intelligence

Early Detection of Oral Cancer Using Artificial Intelligence

Group: Isuri Devindi, Sashini Liyanage, Dinura Dissanayake, Achintha Harshamal
Paper published in IEEE Access | Paper published in Oral Oncology Reports | Poster | Video
2024

A web-based tool to reduce the delay in diagnosing high-risk oral cancer patients by incorporating an automated oral cancer prediction model trained on a white light image database derived from the Sri Lankan population.

Low-complexity Algorithms for Arrhythmia Detection

Low-complexity Algorithms for Arrhythmia Detection

Group: Isuri Devindi, Sashini Liyanage
Paper published in Nature Scientific Reports | Project Page | Repository | Report
2023

A pre-packaged software solution containing a set of low-complexity algorithms for QRS-peak detection and ECG signal compression addressing the null-power consumption environments, along with a Spiking Neural Network implementation to classify ECG beats based on arrhythmia conditions.

Efficient Event Stream Compression for Low-Energy Neuromorphic Systems

Efficient Event Stream Compression for Low-Energy Neuromorphic Systems

Supervisors: Prof. Archan Misra , Ila Gokarn
Report
2023

Exploration of how compressive sensing techniques such as rate coding, latency coding, delta modulation, event window slicing, time window slicing, and voxel cubes can be applied to efficiently convert event-based data from neuromorphic vision sensors into 2D frames for low-energy spiking neural networks (SNNs). The impact of these input-level compression techniques on the classification and object detection performance of SNNs was also evaluated.

Reconstructing Highly Degraded License Plates

Reconstructing Highly Degraded License Plates

Group: Isuri Devindi, Sashini Liyanage, Aminda Amarasinghe, N. Varnaraj
Repository | Report | Video
2022

Demonstration of how traditional image processing techniques such as Otsu thresholding, morphological transformation, contouring, spatial and frequency domain filtering, and degradation modeling can be used to restore highly distorted images along with the limitations of the traditional image processing theoretical techniques.

Compiler for COOL language

Compiler for COOL language

Group: Isuri Devindi, Sashini Liyanage
Repository
2022

The combination of a lexer, parser, semantic analyser, and code generator that can be used to compile programs written in Cool programming language. All components were built using C++. Lexical Analyzer was built using a lexical analyzer generator called "flex" and the Parser using a helper tool called "bison" and a package for manipulating Abstract Syntax Trees.

Remote Proctoring System

Remote Proctoring System

Group: Isuri Devindi, Sashini Liyanage, Savindu Wannigama
Project Page | Repository | Video
2021

A single device which integrates the hardware and software components needed to conduct an examination in the currently implemented system, which will provide a seamless process for the proctors and students involved in an examination.

8-bit single cycle processor

8-bit single cycle processor

Group: Isuri Devindi, Dinura Dissanayake
Repository
2020

An 8-bit single cycle CPU with associated memory hierarchy. The processor includes an ALU, register file, control logic, forwarding unit, data memory, data cache, instruction memory and instruction cache simulated with Verilog HDL.

Publications

Published in IEEE Access
Isuri Devindi, Dinura Dissanayake, Sashini Liyanage, Achintha Harshamal, Dhanushki Mapitigama, Nadisha Piyarathne, Kalani Hettiarachchi, Sumudu Rasnayaka, Ruwan Jayasinghe, Roshan Ragel, Isuru Nawinne
Published in Nature Scientific Reports
Isuri Devindi, Sashini Liyanage, Titus Jayarathna, Janaka Alawatugoda, Roshan Ragel
Published in ScienceDirect Oral Oncology
N. S. Piyarathne, S.N. Liyanage, R.M.S.G.K. Rasnayaka, P.V.K.S. Hettiarachchi, G.A.I. Devindi, F.B.A.H. Francis, D.M.D.R. Dissanayake, R.A.N.S. Ranasinghe, M.B.D. Pavithya, I. Nawinne, R.G. Ragel, R.D. Jayasinghe
Moratuwa Engineering Research Conference 2024 | Published by IEEE
Praveen Dhananjaya, Isurika Adikari, Sumudu Lakmali , Isuri Devindi, Sashini Liyanage, Mahanama Wickramasingha, Theekshana Dissanayake, Roshan G. Ragel, Isuru Nawinne
Moratuwa Engineering Research Conference 2024 | Published by IEEE
A.D. Athapattu, P.S.B. Dassanayake, G.S.C. Nanayakkara, S.N. Liyanage, G.A.I.Devindi, Roshan G. Ragel, Theekshana Dissanayake, Isuru Nawinne
Moratuwa Engineering Research Conference 2024 | Published by IEEE
Sumudu Lakmali, Praveen Dhananjaya, Isurika Adikari, Isuri Devindi, Sashini Liyanage, Mahanama Wickramasingha, Theekshana Dissanayake, Roshan G. Ragel, Isuru Nawinne

Work Experience

Research Engineer (Remote) 2025 April - 2025 August

Mens Manus and Machina (M3S), Singapore-MIT Alliance for Research and Technology (SMART)

Collaborated with Prof. Archan Misra and Dr. Ila Gokarn to develope models for an Embodied AI project focusing on task replanning and dynamic scene adaptation. Co-authored work presented at the MIT-Singapore Symposium on Embodied and Scalable AI (CREATE, Singapore). Currently, contributing to a manuscript in preparation for publication.

Temporary Lecturer 2024 Oct - 2025 March

Department of Computer Engineering, University of Peradeniya, Sri Lanka

Supervised and oversaw the computer systems design projects of third-year Computer Engineering students. Taught and conducted lab sessions on Python Programming.

Teaching Assistant 2024 Jan - 2024 Sep

Department of Computer Engineering, University of Peradeniya, Sri Lanka

Prepared and conducted lab classes and tutorials for courses: Computer Architecture (CO224), Image Processing (CO543), Operating Systems (CO327)

Visiting Research Assistant 2023 Jan - 2023 May

Pervasive Sensing & Systems Lab, School of Computing and Information Systems, Singapore Management University

Supervised by Prof. Archan Misra and Dr. Ila Gokarn, explored spatiotemporal compressive sensing techniques for event-based data generated by Neuromorphic Vision Sensors fed into and processed by Spiking Neural Networks.

Undergraduate Teaching Assistant 2021 - 2022

Department of Computer Engineering, University of Peradeniya, Sri Lanka

Assisted in lab classes for courses: Embedded Systems (CO321), Data Structures and Algorithms (CO322), Programming and Networking (CO253), Programming Methodology (CO222)

Education

Department of Computer Engineering, University of Peradeniya, Sri Lanka.
GPA: 4.00/4.00
Field rank: 1/60
Type Course ID Course Name
Mathematics EM502 Optimization
EM527 Operations Research I
EM211 Ordinary Differential Equations
EM212 Calculus II
EM213 Probability & Statistics
EM214 Discrete Mathematics
EM215 Numerical Methods
GP115 Calculus I
GP116 Linear Algebra
Computer Engineering CO521 Compilers
CO542 Neural Networks & Fuzzy Systems
CO543 Image Processing
CO544 Machine Learning & Data Mining
CO321 Embedded System
CO322 Data Structures & Algorithms
CO323 Computer Communication Networks II
CO324 Network & Web Application Design
CO325 Computer & Network Security
CO326 Computer Systems Engineering
CO327 Operating Systems
CO328 Software Engineering
CO221 Digital Design
CO222 Programming Methodology
CO223 Computer Communication Networks I
CO224 Computer Architecture
CO225 Software Construction
CO226 Database Systems
Projects & Research CO227 Computer Engineering Project
CO421 Final Year Project I
CO425 Final Year Project II
Electrical & Electronic EE386 Electronics II
EE387 Signal Processing
EE282 Network Analysis for Computer Engineering
EE285 Electronics I
GP118 Basic Electrical & Electronic Engineering
Other Technical Courses GP109 Materials Science
GP110 Engineering Mechanics
GP111 Elementary Thermodynamics
GP112 Engineering Measurements
GP113 Fundamentals of Manufacture
GP114 Engineering Drawing
General Courses GP101 English I
GP102 English II
EF501 The Engineer in Society
EF509 Engineer as an Entrepreneur
EF524 Business Law
EF528 Introduction to Digital Art
Hillwood College, Kandy
Physics (A), Chemistry (A), Combine Mathematics (A)
Z-Score: 2.2768
National Rank: 113 / 32075

Blog Posts

Top 5 Machine Learning Model Testing Tools in 2024
May 07, 2024 | Computer Vision

Top 5 Machine Learning Model Testing Tools in 2024

Testing practices designed for software systems, are often inadequate for ML models, and ML model testing is not yet as mature and well-understood as traditional testing. This article will explore the concept of machine learning model testing and some of the tools specifically designed for testing ML models.
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Best Practices for Managing Computer Vision Projects
March 19, 2024 | Computer Vision

Best Practices for Managing Computer Vision Projects

Developing and deploying computer vision projects can be challenging due to the variety of digital content utilized. This article discusses five best practices for building scalable and future-proof computer vision projects and how to avoid some common mistakes.

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Common Pitfalls in Computer Vision Projects
March 05, 2024 | Computer Vision

Common Pitfalls in Computer Vision Projects

There are a lot of things that can go wrong when you're building a computer vision project. This article explores some of the common pitfalls of building computer vision projects and show how you can mitigate them.


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Null vs. Undefined in JavaScript
Dec 14, 2023 | Wed Development

Null vs. Undefined in JavaScript

In JavaScript, null and undefined data types may appear similar when viewed at an abstract level. This article will go through the definitions of null and undefined along with their similarities, fundamental differences, and how you could utilize each of these values in your program.
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Data Scraping in the Era of Machine Learning: Fuelling AI Models
June 30, 2023 | Machine Learning

Data Scraping in the Era of Machine Learning: Fuelling AI Models

Data scraping is the ultimate method to obtain such training data from publicly available resources at scale effortlessly. This article will explore how data scraping can be used to collect high-quality training data.
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DynamoDB vs Postgres - The Ultimate Comparison
Nov 20, 2022 | Computer Vision

DynamoDB vs Postgres - The Ultimate Comparison

Amazon DynamoDB and Postgres are two of the most common database services used by developers.This article will go through the differences between the two and give tips on choosing one based on your requirements.

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