Computing Education · Monash University
Educator. Researcher. Academic leader.
Lecturer, Department of Human Centred Computing, FIT, Monash University
Deputy Course Director, Masters of Computer Science (Monash Online)
I design authentic, inclusive learning experiences that prepare computing students for complex professional practice.
Research specialisations Computing Education · Quantum Computing
Education at the centre
Primary focus
Authentic assessment, responsible GenAI, and inclusive learning design that connects theory with professional practice.
Explore educationResearch specialism
Quantum algorithms, noisy quantum systems, and hybrid quantum-classical optimisation for real-world challenges.
Explore researchI support students and teams to solve meaningful computing problems with clarity, care, and rigour. My primary work spans computing education, responsible AI-enhanced learning, and systems-focused teaching practice, complemented by research in quantum algorithms and intelligent systems.
I currently serve as Deputy Course Director for the Master of Computer Science (Monash Online), helping shape high-impact learning experiences for a diverse global cohort.
Department of Electrical and Computer Systems Engineering (ECSE), Faculty of Engineering, Monash University.
BSc.Eng in Electrical and Information Engineering, Faculty of Engineering, University of Ruhuna.
Credential ID: PR290293
Credential ID: 92391439
Credential ID: 9823098
Credential ID: 4194222
Credential ID: 5055625
Education in practice
Monash teaching commitments grounded in active learning, inclusion, and real-world practice.
Active student engagement, inclusive pedagogies, real-world problem-solving, and evidence-informed assessment design.
Research specialisations
01 · Primary specialisation
Designing authentic, scalable, and fair learning and assessment experiences, including responsible uses of GenAI to improve feedback, inclusion, and student outcomes.
02 · Research specialisation
Modelling quantum search under noise and building hybrid approaches for complex optimisation problems.
Practice-led authentic assessment (PSAs): building real-world, feedback-rich tasks that improve engagement and graduate readiness in computing education.
Research group
ACILS Lab is a research group exploring the intersection of advanced computing and intelligent learning systems. The group develops and investigates emerging computational approaches that can improve how computing is taught, learned, designed and experienced.
The lab brings together research in artificial intelligence, intelligent learning technologies, human centred systems and quantum computing, with a strong emphasis on practical, responsible and future focused research.
What we investigate
Principal Investigator
Principal Investigator, ACILS Lab
Emerging researchers
Research network
Work with me
Current and emerging research projects across computing education, responsible AI, and quantum computing.
Computing education
Build a prototype that generates rubric-based feedback on student submissions using LLM APIs, then evaluate feedback accuracy, usefulness, tone, and alignment with educator benchmarks.
Computing education Quantum computing
Design an adaptive AI learning system that measures conceptual growth through reasoning, revision, reflection, feedback use, and increasing independence. The initial application explores difficult quantum computing concepts while supporting diverse and neurodiverse learners.
Quantum computing
Design and benchmark hybrid optimisation pipelines (QAOA/VQE + classical solvers) for routing, scheduling, and energy management in EV/AV urban mobility scenarios.
Quantum computing
Use Qiskit Aer to model decoherence, gate, and readout noise; quantify impacts on Grover-style search; and evaluate mitigation methods such as measurement error correction and zero-noise extrapolation.
Selected presentations from conferences, symposiums, public talks, and workshops.
2025 AI in Higher Education Symposium Australia & New Zealand · 2025
Presented by Charith Jayasekara (Monash University) on authentic evaluation through problem-solving assessments in computing education.
WatchEETE Sectional Committee, IESL Webinar
Webinar session discussing the role of problem-solving assessments in strengthening engineering education practice.
WatchAusLanka TV, Melbourne
Public talk in Sinhalese for AusLanka TV, Melbourne, discussing AI in education and related areas.
Watch21 Nov 2025
Recognition for innovative teaching practice and impact in software systems and cybersecurity education.
Sept 2017
The Postgraduate Publications Award is designed to encourage research degree students to share their research findings with the wider public through publishing.
Feb 2014
A prestigious scholarship awarded to support outstanding doctoral candidates at Monash University. The MGS provides a living stipend for the duration of the PhD and is granted based on academic excellence, research potential, and demonstrated capacity for independent inquiry.
Feb 2014
A competitive scholarship awarded by Monash University to support outstanding international students pursuing a Research Doctorate (PhD) or Master’s by Research. MIPRS covers tuition fees and Overseas Student Health Cover (OSHC) for the full duration of the eligible research degree. It may be combined with a stipend scholarship (like the RTP or MGS) to support living expenses.
May 2013
“S.D. Jayasundere Memorial Gold Medal” which is awarded annually for the best student in the best final year undergraduate project.
If you are motivated to build impactful computing solutions, I’d like to hear from you.
P: +61 3 9902 4494 (ext. 24494)
Level 1, Room 147, 25 Exhibition Walk,
Clayton, VIC 3800, Australia
