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Dr Erandi Hene Kankanamge

Dr Erandi Hene Kankanamge

Senior Lecturer
UNSW Canberra
School of Systems & Computing

Erandi is a senior lecturer in Computer Science at the University of New South Wales, Canberra (UNSW Canberra). She completed her BSc (hons) in Computer Science at the University of Colombo in Sri Lanka with a first class. In 2009 she joined the University of Colombo School of Computing as an Assistant lecturer. She completed her PhD in Computer Science at UNSW Canberra in 2014. Her research interests include multi-agent systems, computational intelligence, multi-objective optimisation,Ìýhuman computer interfaces and, games for health.

Scholarships of $35,000 (AUD) are available for PhD students who achieved H1 /High Distinction in their UG program and/or have completed a Masters by Research. If you are interested, contact me at e.henekankanamge@adfa.edu.au

Grants

Barlow, MG; Lynar, TM; Moustafa, NM; Turnbull, BP; Samarasinghe Widana Arachchige, D; Hene Kankanamge, EL, Model Abstractions for Military Wargaming, $220,000, DSTG

Hene Kankanamge, EL, Actionable Cyber Security Intelligence from Big Data, $75,000, Industry Grant

Barlow, MG, Hene Kankanamge, EL, Turnbull, BP, Lynar, TM, Moustafa, NM (2020), Boardgame to Wargame - Game Design for Real-World AI-Enabled Analysis, $100,000, DSTG

Barlow, MG, Bednarz, TP, Hene Kankanamge, EL (2019) Simulation and Visualisation Using Data Farming for Joint Operating Concept Analysis, $350, 000, DSTG

Hene Kankanamge, E. (2018) Game Master: Improved player mental and physical wellbeing through a computational intelligence facilitator for digital game play, 2018 Rector’s Start-up Grant, $50,000

Barlow, M; Hene Kankanamge, E; Smith, S. (2017) Fun healthy & fit: computer game control via an exertion system, $75,000

Barlow, M; Hene Kankanamge, E; Kasmarik, K; Tang, J & DST Group. (2017) Trust in human-machine teaming through machine education: a skill-based agent design, DST-G, Competitive Evaluation Research Agreement, $70,000

Abbass, H., Anavatti, S., Arachchilage, N., Barlow, M., Garratt, M., Gulrez, T., Hene Kankanmage, E., Hu, J., Jovanoski, Z., Kasmarik, K., Leu, G., Niven, R., O'Neill, B., Pickering, M., Sarker, M., Sarker, R., Sidhu, H., Sidhu, L., Shafi, K., Towers, I., Tang, J., (2016) Major Research Equipment and Infrastructure Initiative, $42,200

Abbass, H; Anavatti, S; Barlow, M; Garratt, M; Hene Kankanamge, E; Kasmarik, K. (2016) Local State Scoring Relative to Global Goals for Self-organising Unmanned Systems in Contested RF Environments, Defence Science and Technology Group Collaborative Project, $50,000.

Ìý

Professional Services

Secretary IEEE, CIS ACT Chapter: (2019-present)

Local Arrangements co-chair of the 33rdÌý Australasian Joint Conference on Artificial Intelligence in 2020 (AJCAI 2020) and a committee member of Canberra Artificial Intelligence week 2020

Membership Chair, IEEE CIS ACT Chapter: (2017)

Women in Engineering Coordinator, School of Engineering and IT, UNSW Canberra: (S2 2017)

Local Arrangement Chair, 20th Asia Pacific Symposium on Intelligent and Evolutionary Systems (2016)

Reviewer, IEEE Transaction on Games

Reviewer, The IEEE Transactions on Emerging Topics in Computational Intelligence

Reviewer, Encyclopedia of Information Science and Technology, 4th edition

Program committee member of the 20th Asia Pacific Symposium on Intelligent and Evolutionary Systems (2016)

Program committee member of the IEEE International Conference on Serious Games and Applications for Health since 2016-2019

Ìý

Research Students

Ahmed Aldysty (Joinly supervising with Dr Nour Moustafa), PhD Candidate (2022-

Anupama Arukgoda (Primary Supervisor), PhD Candidate (2021-)

Shuo Yang, (Co-supervising with Dr Michael Barlow and A/Prof Kathryn Kasmarik), PhD Candidate (2017-2022)

Dilini Samarasinghe, (Jointly-supervising with Dr Michael Barlow and A/Prof Kathryn Kasmarik), PhD Candidate (2017-2021)

Dulakshi Wannigamage, (Co-supervising with Dr Michael Barlow and A/Prof Kathryn Kasmarik), PhD Candidate (2017-2021)

Seham Hussein, (Co-supervising with Dr Michael Barlow), PhD Candidate (2017-)

Nima Salimi, (Co-supervising with Dr Michael Barlow), PhD Candidate (2017-2022)
Phone
+61 2 5114 5157
E-mail
e.henekankanamge@adfa.edu.au
  • Books | 2020
    Gallagher M; Moustafa N; Lakshika E, 2020, Preface
  • Book Chapters | 2024
    Samarasinghe D; Barlow M; Lakshika E, 2024, 'Competitive Collaboration forÌýComplex Task Learning inÌýAgent Systems', in , pp. 325 - 337,
    Book Chapters | 2017
    Lakshika E; Barlow M, 2017, 'Computational Intelligence Approaches to Computational Aesthetics', in Encyclopedia of Information Science and Technology, Fourth Edition, IGI Global, pp. 156 - 165,
  • Journal articles | 2024
    Arukgoda A; Lakshika E; Barlow M; Gunawardana K, 2024, 'Effective Motive Profile Compositions for Cooperative Ad-Hoc Teams', IEEE Transactions on Cognitive and Developmental Systems, 16, pp. 1027 - 1040,
    Journal articles | 2023
    Wijayarathna C; Lakshika E, 2023, 'Toward Stress Detection During Gameplay: A Survey', IEEE Transactions on Games, 15, pp. 549 - 565,
    Journal articles | 2023
    Yang S; Barlow M; Townsend T; Liu X; Samarasinghe D; Lakshika E; Moy G; Lynar T; Turnbull B, 2023, 'Reinforcement Learning Agents Playing Ticket to Ride-A Complex Imperfect Information Board Game With Delayed Rewards', IEEE Access, 11, pp. 60737 - 60757,
    Journal articles | 2023
    Yang S; Samarasinghe D; Arukgoda A; Abpeikar S; Lakshika E; Barlow M, 2023, 'Automatic Recognition of Collective Emergent Behaviors Using Behavioral Metrics', IEEE Access, 11, pp. 89077 - 89092,
    Journal articles | 2022
    Samarasinghe D; Barlow M; Lakshika E; Kasmarik K, 2022, 'Grammar-based autonomous discovery of abstractions for evolution of complex multi-agent behaviours', Swarm and Evolutionary Computation, 73,
    Journal articles | 2022
    Samarasinghe D; Barlow M; Lakshika E, 2022, 'Flow-Based Reinforcement Learning', IEEE Access, 10, pp. 102247 - 102265,
    Journal articles | 2021
    Samarasinghe Widana Arachchige D; Barlow M; Hene Kankanamge E; Kasmarik K, 2021, 'Exploiting Abstractions for Grammar-Based Learning of Complex Multi-Agent Behaviours', International Journal of Intelligent Systems, 36, pp. 6273 - 6311,
    Journal articles | 2021
    Samarasinghe Widana Arachchige D; Barlow M; Lakshika E; Kasmarik K, 2021, 'Grammar-Based Cooperative Learning for Evolving Collective Behaviours in Multi-Agent Systems', Swarm and Evolutionary Computation, 69, pp. 101017,
    Journal articles | 2021
    Samarasinghe Widana Arachchige D; Barlow M; Lakshika E; Lynar T; Moustafa N; Townsend T; Turnbull B, 2021, 'A Data Driven Review of Board Game Design and Interactions of Their Mechanics', IEEE Access, 9, pp. 114051 - 114069,
    Journal articles | 2021
    Yang S; Barlow M; Hene Kankanamge E; Kasmarik K, 2021, 'A Novel Trust Architecture Integrating Differentiated Trust and Response Strategies for a Team of Agents', International Journal of Intelligent Systems, 36, pp. 7017 - 7052,
    Journal articles | 2020
    Gray L; Lakshika E; Barlow M, 2020, 'Impact of Using Active Locomotion Interfaces for Gameplay: A Study on Exertion Levels and Presence', IEEE Transactions on Games, 12, pp. 406 - 415,
    Journal articles | 2017
    Lakshika E; Barlow M; Easton A, 2017, 'Understanding the Interplay of Model Complexity and Fidelity in Multiagent Systems via an Evolutionary Framework', IEEE Transactions on Computational Intelligence and AI in Games, 9, pp. 277 - 289,
    Journal articles | 2016
    Lakshika E; Barlow M; Easton A, 2016, 'Evolving lane merge traffic behaviour simulations via a macroscopic objective function and a machine learning system trained through bootstrapped human judgement', Applied Intelligence, 44, pp. 862 - 877,
  • Conference Papers | 2023
    Arukgoda A; Lakshika E; Barlow M; Gunawardana K, 2023, 'Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments', in IJCAI International Joint Conference on Artificial Intelligence, pp. 12 - 19,
    Conference Abstracts | 2023
    Arukgoda A; Lakshika E; Barlow M; Gunawardana K, 2023, 'Context-aware agents based on psychological archetypes for teamwork', in AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, International Foundation for Autonomous Agents and Multiagent Systems, London, U.K., Vol. 2023-May, pp. 2313 - 2315, presented at AAMAS '23: International Conference on Autonomous Agents and Multiagent Systems, London, U.K., 29 May 2023,
    Preprints | 2023
    Lakshika E; Barlow M; Yang S; Barlow Z; Townsend T, 2023, A General Exergaming Interface: Impact upon Heart Rate, Enjoyment and Immersion across Multiple Games (Preprint),
    Conference Papers | 2021
    Elkader SA; Barlow M; Lakshika E, 2021, 'Subject and Activity-wise Performance for Activity Independent Person Recognition', in 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings,
    Conference Papers | 2021
    Samarasinghe Widana Arachchige D; Barlow M; Lakshika E; Kasmarik K, 2021, 'Task Allocation in Multi-Agent Systems with Grammar-Based Evolution', in Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents, IVA 2021, Association for Computing Machinery (ACM), Japan, pp. 175 - 182, presented at International Conference on Intelligent Virtual Agents, IVA 2021, Japan, 14 September 2021 - 17 September 2021,
    Conference Papers | 2021
    Yang S; Barlow M; Lakshika E; Kasmarik K, 2021, 'Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model', in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Orlando, FL, USA, pp. 1 - 9, presented at 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, 05 December 2021,
    Conference Papers | 2021
    Yang S; Barlow M; Lakshika E; Kasmarik K, 2021, 'Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model', Orlando, Florida, USA, presented at IEEE Symposium Series on Computational Intelligence, Orlando, Florida, USA
    Conference Papers | 2020
    Hussein S; Barlow M; Lakshika E, 2020, 'Activity-Independent Person Identification Based on Daily Activities Using Wearable Sensors', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 383 - 394,
    Conference Papers | 2020
    Salimi N; Barlow M; Lakshika E, 2020, 'Towards Potential of N-back Task as Protocol and EEGNet for the EEG-based Biometric', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 1718 - 1724,
    Conference Papers | 2020
    Wannigamage D; Barlow M; Lakshika E; Kasmarik K, 2020, 'Analysis and Prediction of Player Population Changes in Digital Games During the COVID-19 Pandemic', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 458 - 469,
    Conference Proceedings (Editor of) | 2020
    Gallagher M; Moustafa N; Lakshika E, (eds.), 2020, 'AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings', Springer, Vol. 12576
    Conference Papers | 2019
    Charoensook T; Barlow M; Lakshika E, 2019, 'Heart Rate and Breathing Variability for Virtual Reality Game Play', in 2019 IEEE 7th International Conference on Serious Games and Applications for Health, SeGAH 2019,
    Conference Papers | 2019
    Dhawan D; Barlow M; Lakshika E, 2019, 'Prosthetic Rehabilitation Training in Virtual Reality', in 2019 IEEE 7th International Conference on Serious Games and Applications for Health, SeGAH 2019,
    Conference Papers | 2019
    Salimi N; Barlow M; Lakshika E, 2019, 'Mental Workload Classification Using Short Duration EEG Data: An Ensemble Approach Based on Individual Channels', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, pp. 393 - 398,
    Conference Papers | 2019
    Vihanga D; Barlow M; Lakshika E; Kasmarik K, 2019, 'Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach', in IEEE Conference on Games, London, UK, presented at IEEE Conference on Games, London, UK
    Conference Papers | 2018
    Elkader SA; Barlow M; Lakshika E, 2018, 'Wearable sensors for recognizing individuals undertaking daily activities', in Proceedings - International Symposium on Wearable Computers, ISWC, pp. 64 - 67,
    Conference Papers | 2018
    Samarasinghe Widana Arachchige D; Lakshika E; Barlow M; Kasmarik KE, 2018, 'Automatic Synthesis of Swarm Behavioural Rules from their Atomic Components', in Aguirre H (ed.), GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), Kyoto Japan, pp. 133 - 140, presented at GECCO 2018, Kyoto Japan, - ,
    Conference Papers | 2017
    Lakshika E; Barlow M, 2017, 'Precision of control as a function of control scheme: Implications for serious exertion games from a Flow perspective', Perth Australia, presented at 2017 IEEE 5th International Conference on Serious Games and Applications for Health, Perth Australia, 02 April 2017 - 04 April 2017,
    Conference Papers | 2017
    Leu G; Kasmarik KE; Tang J; Lakshika E; Barlow M, 2017, 'Machine Education - the way forward for achieving trust-enabled machine agents', USA, presented at NIPS’17 Workshop on Teaching Machines, Robots, and Humans, USA, -
    Conference Papers | 2017
    Leu G; Tang J; Lakshika E; Kasmarik K; Barlow M; Tang J, 2017, 'Curriculum optimisation via evolutionary computation, for a neural learner robust to categorical adversarial samples', in Defence Technology - Japan (ACDT), 2017 Fourth Asian Conference on, IEEE Xplore, Tokyo, pp. 1 - 6, presented at The 4th Asian Conference on Defence Technology, Tokyo, 29 November 2017 - 01 December 2017,
    Conference Papers | 2016
    Barlow M; Lakshika E, 2016, 'What cost teamwork: Quantifying situational awareness and computational requirements in a proto-team via multi-objective evolution', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pp. 3525 - 3532,
    Conference Papers | 2016
    Dannatt J; Barlow M; Lakshika E, 2016, 'A natural locomotion interface: Its impact on presence and usage in a social-media charity event for mental health', in 2016 IEEE International Conference on Serious Games and Applications for Health, SeGAH 2016, IEEE, Orlando, FL, USA, presented at 2016 IEEE International Conference, Orlando, FL, USA, 11 May 2016 - 13 May 2016,
    Conference Papers | 2016
    Lakshika E; Barlow M, 2016, 'On Deriving a Relationship Between Complexity and Fidelity in Rule Based Multi-agent Systems', Springer Nature, pp. 223 - 235,
    Conference Papers | 2015
    Lakshika E; Barlow M; Easton A, 2015, 'Evolving high fidelity low complexity sheepdog herding simulations using a machine learner fitness function surrogate for human judgement', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 330 - 342,
    Conference Papers | 2015
    Lakshika E; Barlow M; Sarker R; Gaidow S, 2015, 'Analysing Truck-Trailer-Flatrack Mix for a Given Road Network with Known Supply and Demand', in Weber T; McPhee MJ; Anderssen RS (eds.), Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015, MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC, Gold Coast, Australia, pp. 910 - 916, presented at 21st International Congress on Modelling and Simulation, Gold Coast, Australia, 29 November 2015 - 04 December 2015,
    Conference Papers | 2013
    Lakshika E; Barlow M; Easton A, 2013, 'Co-evolving Semi-competitive Interactions of Sheepdog Herding Behaviors Utilizing a Simple Rule-based Multi Agent Framework', in Proceedings of 2013 IEEE Symposium on Artificial Life, presented at 2013 IEEE Symposium on Artificial Life (ALIFE), 16 April 2013 - 19 April 2013
    Conference Papers | 2013
    Lakshika E; Barlow M; Easton A, 2013, 'Co-evolving semi-competitive interactions of sheepdog herding behaviors utilizing a simple rule-based multi agent framework.', in ALIFE, IEEE, pp. 82 - 89,
    Conference Papers | 2012
    Lakshika E; Barlow MG; Easton AC, 2012, 'Fidelity and complexity of standing group conversation simulations: a framework for the evolution of Multi Agent Systems through bootstrapping human aesthetic judgments', in Evolutionary Computation (CEC), 2012 IEEE Congress on, IEEE Press, USA, pp. 8 pp., presented at 2012 IEEE Congress on Evolutionary Computation (CEC), Brisbane, QLD, 10 June 2012 - 15 June 2012,
    Conference Papers | 2008
    Lakshika E; Keppitiyagama C; Wathugala D, 2008, 'AOnesC: An aspect-oriented extension to nesC', in Proceedings of New Technologies, Mobility and Security Conference and Workshops, NTMS 2008,