Asiri Gawesha Lindamulage

Assistant Lecturer | MPhil Researcher

TinyML • Edge AI • Efficient Deep Learning • Computer Vision

Email
Asiri Gawesha Lindamulage

About Me

I am an Assistant Lecturer and MPhil researcher at the Sri Lanka Institute of Information Technology. My work focuses on TinyML, edge AI, efficient deep learning, and computer vision. I am particularly interested in developing lightweight machine-learning models that can operate on mobile, embedded, and microcontroller-class devices.

I have contributed to research in head-pose estimation, child-action recognition, autism-assessment technologies, curriculum learning, knowledge distillation, and mobile AI systems. Alongside my research, I teach and support undergraduate courses in electrical engineering, computer engineering, software engineering, and artificial intelligence.

Research Interests

  • TinyML and Edge AI
  • Efficient deep learning
  • Model compression and optimization
  • Knowledge distillation
  • Curriculum learning
  • Lightweight computer vision
  • Head-pose estimation
  • Human-behavior and action recognition
  • Graph neural networks
  • Mobile and embedded machine learning
  • On-device inference
  • AI applications in healthcare and education

Teaching Interests

  • Machine Learning and Deep Learning
  • Computer Vision
  • TinyML and Embedded AI
  • Data Structures and Algorithms
  • Digital Signal Processing
  • Communication Systems
  • Signals and Systems
  • Power Electronics
  • Electrical Machines
  • Object-Oriented Programming
  • Software Architecture
  • Distributed Systems
  • Computer Organization and Architecture
  • Microcontrollers and Embedded Systems

18

Citations

5+

Publications

4+

Years Experience

Education

Master of Philosophy in Software Engineering

Sri Lanka Institute of Information Technology

2022 – Present

Currently pursuing research in AI and ML with focus on TinyML and edge computing

BSc Engineering (Hons) in Electrical and Electronic Engineering

Sri Lanka Institute of Information Technology

2017 – 2021

GPA: 3.26/4.00 | 2:1 (Upper Second Class) | 6.204/9.00 (B+)

Professional Experience

Assistant Lecturer

Sri Lanka Institute of Information Technology

Jan 2025 – Present

  • Conduct lab sessions for Power Electronics, Electrical Machines, Signals & Systems
  • Prepare laboratory materials and documentation
  • Supervise undergraduate final-year projects

Temporary Lecturer

Open University of Sri Lanka | Department of Electrical and Computer Engineering

Aug 2025 – Dec 2025

  • Conduct research on cross-architecture knowledge distillation
  • Deliver lectures: Digital Signal Processing, Communication Systems
  • Coordinator of the Communications module
  • Prepare assignments and instructional materials
  • Supervise 2nd year research projects

Research Assistant

SLIIT | Department of Software Engineering

2023 – 2025

  • SLIIT Grant Recipient: Brain-Inspired Human Behavior Framework
  • TinyML research and edge computing optimization
  • Workshop coordination on Arduino & MSP430

Research Assistant

SLIIT | AHEAD-CSAAT (World Bank-funded)

2021 – 2023

  • Deep learning model inference optimization
  • Head-pose estimation model development
  • Mobile app ML integration (iOS/Android)

Publications

GADS: A Super Lightweight Model for Head Pose Estimation

Journal

Menan Velayuthan, Asiri Gawesha, Purushoth Velayuthan, Nuwan Kodagoda, Dharshana Kasthurirathna, Pradeepa Samarasinghe

arXiv preprint (2025)

Read on arXiv

Spatio-temporal Graph Neural Networks for Child Action Recognition

Journal (Q1)

Sanka Mohottala, Asiri Gawesha, Dharshana Kasthurirathna, Pradeepa Samarasinghe, Charith Abhayaratne

Computer Vision and Image Understanding (Q1)

Coming Soon

Confusion-Aware Transfer Teacher Curriculum Learning Framework

Conference

Savini Kommalage, Sanka Mohottala, Asiri Gawesha, Dulara Madhusanka, Menan Velayuthan, Dharshana Kasthurirathna, Mahima Milinda Alwis Weerasinghe, Charith Abhayaratne

ICML GlobalSouthML Workshop (2026)

Comparative Study of Parameter Selection for Enhanced Edge Inference

Conference (h=49)

Asiri Lindamulage, Nuwan Kodagoda, Shyam Reyal, Pradeepa Samarasinghe, Pratheepan Yogarajah

TENON 2022

IEEE

DS-HPE: Deep Set for Head Pose Estimation

Conference (h=43)

Velayuthan Menan, Asiri Gawesha, Pradeepa Samarasinghe, Dharshana Kasthurirathna

CCWC-2023

IEEE

Development of Low Resource ML Models for Child Cognitive Assessments

Conference (h=22)

Adithya Kahawanugoda, Kulanika Gnanarathna, Nilan Meegoda, Randika Monarawila, Pradeepa Samarasinghe, Asiri Gawesha

ICAC-2022

IEEE

ITConnect: Real-time Personalized Job Posting Platform for IT Professionals

Conference (h=11)

Karunanayake K.R.D.S.K, Chandrawansa K.T.M, Gunatilleke L.C.T, Menuranga K.Y.D.B, Asiri Gawesha, Kalpani Manathunga

ICITR-2023

IEEE

Academic Outreach

Organized and conducted the workshop “TinyML: A Compact Revolution in Engineering AI” at Moratuwa Engineering Research Conference (MERCON - 2025), delivering a hands-on and theoretical session as one of five resource personnel.

Workshop Page

Co-organized and conducted the workshop “All Roads Lead to TinyML: The Rome of Efficient Machine Learning in Engineering” at SLIIT International Conference on Engineering and Technology (SICET - 2025), delivering a coding session on model compression.

Workshop Page

Conducted the workshop “Graph Neural Networks - From Zero to Hero” at International Conference on Advanced Research in Computing (ICARC - 2025), delivering a hands-on session as one of four resource personnel.

Workshop Page

Conducted the workshop “TinyML in Action” at the 6th International Conference on Advancements of Computing (ICAC - 2024), delivering talks and tutorials as one of three resource persons.

Workshop Repository

Member of the reviewing committee for the 5th, 6th, and 7th International Conference on Advancements in Computing (ICAC 2023–2025).

IEEE verification

Featured Projects

TinyML-Optimized Head Pose Estimation

Master's Thesis

Parameter-efficient models for embedded systems using pruning, quantization, and knowledge distillation. Benchmark on microcontroller hardware.

TinyML Model Compression Edge AI
Deep Learning Model Optimization

CSAAT Project

On-device inference using TensorFlow Lite and PyTorch Mobile. Head-pose and emotion detection integration for Android apps.

TensorFlow Lite PyTorch Mobile Android
Pictorial Autism Assessment Tool

Mobile App

AI-powered early screening using Flutter and Weka Random Forest classifier for culturally-sensitive autism assessment.

Flutter ML Healthcare
Smart Tourist Guide System

Final Year Project

Safety-focused tourism app with number plate recognition and island-wide taxi rating system using deep learning.

React Native Computer Vision Object Detection
Cable Quality Inspection Tool

Internship

Automated quality verification using deep learning classifiers and image processing for manufacturing quality control.

Arduino Image Processing Computer Vision
Face Recognition Attendance System

Academic Project

Real-time face recognition using Capsule Networks, Siamese networks and SVM with real-time attendance marking.

Face Recognition Deep Learning Computer Vision

Technical Skills

Languages

Python Java Flutter Android JavaScript

ML/DL Frameworks

TensorFlow Keras PyTorch scikit-learn TFLite

Specializations

TinyML Edge Computing Model Compression Computer Vision Object Detection

Tools & Platforms

Google Cloud Firebase MediaPipe Git Docker

Grants, Awards & Certifications

SLIIT Research Grant (2025)

Co-Investigator: Brain-Inspired Human Behavior Understanding Framework using Curriculum Learning

Dean's List (Year 2, Semester 2)

Sri Lanka Institute of Information Technology

IELTS: 7.0 Overall

Listening: 7.0 | Reading: 6.5 | Writing: 6.5 | Speaking: 7.5

GRE: 157 Quantitative

Verbal: 137 | Quantitative: 157 | Analytical Writing: 3.0

Sangeeth Visharad (Instrumental Violin)

Bhathkande Sangit Vidyapith, Lucknow, India

Multiple Professional Certifications

Computer Networks, Deep Learning, Python, Coursera Specializations

Get In Touch

I'm always open to research collaborations and interesting projects.

Email

asirigawesha@gmail.com

Phone

+94 76 761 6895

LinkedIn

Connect with me

GitHub

View my projects