Biography
Dr Hettiarachchi received a B.Sc. in Electrical Engineering (First Class Honours) from the University of Moratuwa (UoM), Sri Lanka, in 2004. She obtained a MPhil in Electrical Engineering from UoM, Sri Lanka in 2009. From 2004, after receiving her undergraduate degree she has been engaged in numerous lecturing activities at UoM, Sri Lanka. Dr Hettiarachchi obtained her PhD degree in Engineering from the Deakin University, Australia in 2013, where she received a Deakin University international research scholarship (DUIRS). She is currently a research fellow with the Institute of Intelligent Systems Research at Deakin University. Her key research area is in human performance modelling and assessment using physiological signals.
Read more on Imali's profileCareer highlights
2014 - present: Research Fellow, Institute for Intelligent Systems Research and Innovation, Deakin University
Research interests
Dr Hettiarachchi’s current research focus is in human performance (e.g. mental workload, fatigue, and situational awareness) analysis using multimodal physiological signals, including brain waves measured via electroencephalography (EEG), heart rate variability measured via electrocardiography (ECG), galvanic skin response (GSR) and eye-tracking. She has also contributed into brain-computer-interface (BCI) research working on analysis algorithms to improve BCI-accuracy.
- Human performance analysis in dynamic and complex environments
- Multi-modal physiological signal analysis
- Brain computer interface systems
- Signal processing
- Artificial Intelligence
Knowledge areas
- Signal processing
- Physilogical data (EEG, ECG and eye-tracking) collection and analysis
- Agent-based modelling and Simulation
Media appearances
- Digital mannequins win engineering gold for IISRI
https://www.deakin.edu.au/research/research-news/articles/digital-mannequins-win-engineering-gold-for-iisri
- What can’t you do with an exoskeleton?
https://disruptr.deakin.edu.au/innovation/what-cant-you-do-with-an-exoskeleton/
Awards
- Gold Medal: Ingress/Egress Ergonomic Assessment, Society of Automotive Engineering, SAE Australasia Mobility Engineering Excellence Awards, 2016.
Publications
M Algumaei, I Hettiarachchi, R Veerabhadrappa, A Bhatti
(2023), Vol. 23, pp. 1-15, Sensors, Basel, Switzerland, C1
Mohammed Algumaei, I Hettiarachchi, M Farghaly, A Bhatti
(2023), Vol. 11, pp. 1-22, IEEE Access, Piscataway, N.J., C1
Predicting Cognitive Load of an Individual With Knowledge Gained From Others
Syed Salaken, Imali Hettiarachchi, Afsana Munia, Md Hasan, Abbas Khosravi, Shady Mohamed, Ashikur Rahman
(2022), Vol. 8, pp. 4-15, IEEE Systems Man and Cybernetics Magazine, Piscataway, N.J., C1
R Veerabhadrappa, I Hettiarachchi, S Hanoun, D Jia, S Hosking, A Bhatti
(2022), pp. 1-21, Human Factors, London, Eng., C1
Improving high value manufacturing with simulation-based Bayesian Optimisation
B Gunn, I Hettiarachchi, M Johnstone, V Le, D Creighton, L Preston
(2022), pp. 1-8, SysCon 2022 - Proceedings of the 16th Annual IEEE International Systems Conference, Montreal, Canada, E1
R Veerabhadrappa, I Hettiarachchi, A Bhatti
(2022), pp. 1-8, SysCon 2022 : Proceedings of the 16th Annual IEEE International Systems Conference 2022, Montreal, Canada, E1
Gaze Convergence Based Collaborative Performance Prediction in a 3-Member Joint Activity Setting
R Veerabhadrappa, I Hettiarachchi, A Bhatti
(2022), pp. 1-7, SysCon 2022 : Proceedings of the 16th Annual IEEE International Systems Conference 2022, Montreal, Canada, E1
Physiological Compliance during a Three Member Collaborative Computer Task
M Algumaei, I Hettiarachchi, R Veerabhadrappa, A Bhatti
(2022), Vol. 2022-October, pp. 3348-3353, SMC 2022 : Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Prague, Czech Republic, E1
A Review of Individual Operational Cognitive Readiness: Theory Development and Future Directions
L Crameri, I Hettiarachchi, S Hanoun
(2021), Vol. 63, pp. 66-87, Human Factors, United States, C1
Effects of Dynamic Resilience on the Reactivity of Vagally Mediated Heart Rate Variability
L Crameri, I Hettiarachchi, S Hanoun
(2021), Vol. 11, Frontiers in Psychology, Switzerland, C1
Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data
Rakesh Veerabhadrappa, Imali Hettiarachchi, Asim Bhatti
(2021), pp. 1-8, SysCon 2021 : Proceedings of the 2021 IEEE International Systems Conference, Vancouver, Canada, E1
Imali Hettiarachchi, Samer Hanoun, Rakesh Veerabhadrappa, Dawei Jia, Simon Hosking, Asim Bhatti
(2021), pp. 1-7, SysCon 2021 : Proceedings of the 2021 IEEE International Systems Conference, Vancouver, Canada, E1
Rakesh Veerabhadrappa, Imali Hettiarachchi, My Algumaei, Asim Bhatti
(2021), pp. 1-6, SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1
Wavelet Packet Energy Features for EEG-Based Emotion Recognition
My Algumaei, Imali Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti
(2021), pp. 1935-1940, SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1
Quantifying Dynamic Resilience using First-process Autoregressive Modelling: An Empirical Study
Luke Crameri, Imali Hettiarachchi, Samer Hanoun
(2020), Vol. 64, pp. 770-774, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, London, Eng., C1
Evaluation of classification techniques for identifying cognitive load levels using EEG signals
Syed Salaken, Imali Hettiarachchi, Luke Crameri, Samer Hanoun, Saeid Nahavandi, Thanh Nguyen
(2020), SYSCON2020 : Proceedings of the 14th Annual IEEE International Systems Conference, Virtual Conference, E1
Feasibility Study of Skin Conductance Response for Quantifying Individual Dynamic Resilience
L Crameri, I Hettiarachchi, S Hanoun
(2020), Vol. 2020-October, pp. 1764-1771, IEEE 2020: Proceedings of the International Conference on Transactions on Systems, Man, and Cybernetics: Systems, Toronto, Canada, E1
Batch Mode Query by Committee for Motor Imagery-Based BCI
I Hossain, A Khosravi, I Hettiarachchi, S Nahavandi
(2019), Vol. 27, pp. 13-21, IEEE Transactions on Neural Systems and Rehabilitation Engineering, United States, C1
I Hettiarachchi, S Hanoun, D Nahavandi, S Nahavandi
(2019), Vol. 14, PLoS ONE, United States, C1
M Attia, I Hettiarachchi, S Mohamed, M Hossny, S Nahavandi
(2019), pp. 2134-2139, SMC 2018 : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1
Haptically-enabled VR-based immersive fire fighting training simulator
S Nahavandi, L Wei, J Mullins, M Fielding, S Deshpande, M Watson, S Korany, D Nahavandi, I Hettiarachchi, Z Najdovski, R Jones, A Mullins, A Carter
(2019), Vol. 997, pp. 11-21, CompCom 2019 : Intelligent Computing - Proceedings of the Computing Conference, London, England, E1
I Hossain, A Khosravi, I Hettiarachchi, S Nahavandi
(2018), Vol. 2018, Computational Intelligence and Neuroscience, United States, C1
A fresh look at functional link neural network for motor imagery-based brain-computer interface
I Hettiarachchi, T Babaei, T Nguyen, C Lim, S Nahavandi
(2018), Vol. 305, pp. 28-35, Journal of Neuroscience Methods, Netherlands, C1-1
Classification of Multi-Class BCI Data by Common Spatial Pattern and Fuzzy System
T Nguyen, I Hettiarachchi, A Khatami, L Gordon-Brown, C Lim, S Nahavandi
(2018), Vol. 6, pp. 27873-27884, IEEE Access, C1-1
M Attia, I Hettiarachchi, M Hossny, S Nahavandi
(2018), pp. 766-769, ISBI 2018 : Proceedings of the International Symposium on Biomedical Imaging, Washington, D.C., E1
Eye behaviour as a hazard perception measure
J Iskander, J Iskander, S Hanoun, S Hanoun, I Hettiarachchi, I Hettiarachchi, M Hossny, M Hossny, K Saleh, K Saleh, H Zhou, H Zhou, S Nahavandi, S Nahavandi, A Bhatti, A Bhatti
(2018), pp. 1-6, SysCon 2018 : Proceedings of the 12th Annual IEEE International Systems Conference, Vancouver, British Columbia, E1
A classifier approach to multi-screen switching based on low cost eye-trackers
J Iskander, J Iskander, I Hettiarachchi, I Hettiarachchi, S Hanoun, S Hanoun, M Hossny, M Hossny, S Nahavandi, S Nahavandi, A Bhatti, A Bhatti
(2018), pp. 1-6, SysCon 2018 : Proceedings of the 12th Annual IEEE International Systems Conference, Vancouver, British Columbia, E1
Calibration time reduction for motor imagery-based BCI using batch mode active learning
I Hossain, A Khosravi, I Hettiarachchi, S Nahavandi
(2018), pp. 1-8, IJCNN : Proceedings of the 2018 International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, E1
I Hossain, A Khosravi, I Hettiarachchi, S Nahavandi
(2018), pp. 1-6, IJCNN 2018 : Proceedings of the 2018 International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, E1
Age-related effects of multi-screen setup on task performance and eye movement characteristics
J Iskander, D Jia, I Hettiarachchi, M Hossny, K Saleh, S Nahavandi, C Best, S Hosking, B Rice, A Bhatti, S Hanoun
(2018), pp. 3480-3485, SMC 2018 : The making of a human-centered cyber world : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1
Towards more accessible physiological data for assessment of cognitive load - a validation study
I Hettiarachchi, S Hanoun, D Nahavandi, J Iskander, M Hossny, S Nahavandi
(2018), pp. 3045-3050, SMC 2018 : The making of a human-centered cyber world : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1
I Hossain, A Khosravi, I Hettiarachchi, S Nahavandi
(2018), pp. 491-498, SMC 2018 : The making of a human-centered cyber world : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1
Synchronization criteria for delay coupled Izhikevich neurons
Imali Hettiarachchi, Lakshmanan Shanmugam, Asim Bhatti, Saeid Nahavandi
(2017), pp. 131-144, Emerging trends in neuro engineering and neural computation, Singapore, B1
Multiclass EEG data classification using fuzzy systems
T Nguyen, I Hettiarachchi, A Khosravi, S Salaken, A Bhatti, S Nahavandi
(2017), pp. 1-6, FUZZ-IEEE 2017 : Proceedings of the IEEE International Conference on Fuzzy Systems, Naples, Italy, E1-1
I Hossain, A Khosravi, I Hettiarachchi, S Nahavandhi
(2017), Vol. 2017-January, pp. 252-257, SMC2017 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Banff, Alberta, E1
Chaotic synchronization of time-delay coupled Hindmarsh-Rose neurons via nonlinear control
I Hettiarachchi, S Lakshmanan, A Bhatti, C Lim, M Prakash, P Balasubramaniam, S Nahavandi
(2016), Vol. 86, pp. 1249-1262, Nonlinear Dynamics, C1
Passive muscle force analysis during vehicle access: a gender comparison
D Nahavandi, I Hettiarachchi, M Hossny
(2016), pp. 1-5, WAC 2016 Proceedings of the 2016 IEEE World Automation Congress : Machine Learning, Autonomous Vehicle Modeling and Control, Rio Grande, Puerto Rico, E1
Multivariate autoregressive-based neuronal network flow analysis for in-vitro recorded bursts
I Hettiarachchi, A Bhatti, P Adlard, S Nahavandi
(2015), Vol. 9492, pp. 324-331, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1
EEG signal analysis for BCI application using fuzzy system
T Nguyen, S Nahavandi, A Khosravi, D Creighton, I Hettiarachchi
(2015), Vol. 2015-September, pp. 1-8, IJCNN 2015: Proceedings of the 2015 International Joint Conference on Neural Networks, Killarney, Ireland, E1
I Hettiarachchi, S Mohamed, S Nahavandi, S Nahavandi
(2015), pp. 1845-1851, SMC 2015 : Proceedings of 2015 IEEE International Conference on Systems, Man and Cybernetics, Hong Kong, China, E1
Multivariate adaptive autoregressive modeling and kalman filtering for motor imagery BCI
I Hettiarachchi, T Nguyen, S Nahavandi
(2015), pp. 3164-3168, SMC 2015 : Big Data Analytics for Human-Centric Systems. Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics, Hong Kong, China, E1
Motor Imagery Data Classification for BCI Application Using Wavelet Packet Feature Extraction
I Hettiarachchi, T Nguyen, S Nahavandi
(2014), Vol. 8836, pp. 519-526, Lecture Notes in Computer Science, Kuching, Malaysia, B1
Adaptive-multi-reference least means squares filter
L Nyhof, I Hettiarachchi, S Mohammed, S Nahavandi
(2014), Vol. 8836, pp. 527-534, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1
Classification of neural action potentials using mean shift clustering
T Nguyen, A Khosravi, I Hettiarachchi, D Creighton, S Nahavandi
(2014), pp. 1247-1252, SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, California, E1
Multivariate Adaptive Autoregressive Modeling and Kalman Filtering for Motor Imagery BCI
Imali Hettiarachchi, Thi Thanh, Saeid Nahavandi
(2014), pp. 3164-3168, 2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014), Austin, TX, E1-1
I Hettiarachchi, S Mohamed, L Nyhof, S Nahavandi
(2013), pp. 3945-3948, EMBC 2013 : Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, E1
A marginalised Markov Chain Monte Carlo approach for model based analysis of EEG data
I Hettiarachchi, S Mohamed, S Nahavandi
(2012), pp. 1539-1542, ISBI 2012 : From Nano to Macro : Proceedings of the 9th IEEE International Symposium on Biomedical Imaging, Barcelona, Spain, E1
Identification of nonlinear fMRI models using Auxiliary Particle Filter and kernel smoothing method
I Hettiarachchi, S Mohamed, S Nahavandi
(2012), pp. 4212-4216, EMBC 2012 : Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, California, E1
A state space based approach in non-linear hemodynamic response modeling with fMRI data
I Hettiarachchi, P Pathirana, P Brotchie
(2010), pp. 2391-2394, EMBC 2010 : Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society “Merging Medical Humanism and Technology”, Buenos Aires, Argentina, E1
Funded Projects at Deakin
Other Public Sector Funding
Instructor-Student Gaze Coupling in Air-Battle Management Training.
Prof Asim Bhatti, Dr Imali Hettiarachchi, A/Prof Samer Hanoun, Prof Saeid Nahavandi
DSTO Grant - Research - Defence Science & Technology Organisation
- 2019: $99,923
Multimodal Quantification of Operator State through Adaptive Team Training in Command and Control.
Prof Asim Bhatti, Dr Imali Hettiarachchi, A/Prof Samer Hanoun, Prof Saeid Nahavandi
DSTO Grant - Research - Defence Science & Technology Organisation
- 2020: $54,445
- 2019: $20,000
Creating effective teams through physiological and behavioural quantification.
Prof Asim Bhatti, Dr Imali Hettiarachchi
Department of Economic Development, Jobs, Transports and Resources
- 2021: $15,000
Industry and Other Funding
Discrete-Event Simulation and Evaluation of Manufacturing Industry 5.0 Mega-line.
Mr Bruce Gunn, Dr Imali Hettiarachchi, A/Prof Michael Johnstone, Dr Vu Le, Prof Douglas Creighton
Carbon Revolution Operations Pty Ltd
- 2022: $58,395
Modelling and Simulation for Component Manufacturing.
Prof Douglas Creighton, Mr Bruce Gunn, Dr Vu Le, Dr Imali Hettiarachchi, A/Prof Michael Johnstone
Boeing Aerostructures Australia Pty Ltd
- 2023: $100,800
Other Funding Sources
Ingress/Egress Ergonomic Assessment: Automating Posture Modification
Prof Saeid Nahavandi, Prof Douglas Creighton, Dr Mohammed Hossny, A/Prof Shady Mohamed, Prof Asim Bhatti, Dr Lei Wei, Dr Imali Hettiarachchi, Prof Abbas Khosravi
AutoCRC Ltd
- 2017: $525,600
Quickstep Aero-line Future Factory simulation.
Mr Bruce Gunn, Dr Vu Le, Dr Imali Hettiarachchi, A/Prof Michael Johnstone
Sovereign Manufacturing Automation for Composites CRC Ltd (SoMAC CRC)
- 2024: $129,700
- 2023: $259,400
Supervisions
Rakesh Veerabhadrappa
Thesis entitled: Applied Multimodal Framework for Evaluating and Forecasting Team Performance
Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation
Luke Crameri
Thesis entitled: Operational Cognitive Readiness Augmented with Novel Cognitive and Physiological Measures
Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation
Ibrahim Hossain
Thesis entitled: Informative Transfer by Active Learning for Calibration Time Reduction of Brain Computer Interface
Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation