Erandi Lakshika

44 papers A* 1A 2B 4C 4Misc 1Journal 16Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Holistic Review of Fuzzing for Vulnerability Assessment in Industrial Network Protocols. IEEE Open J. Commun. Soc. Ahmed Reda Aldysty, Nour Moustafa, Erandi Lakshika
2025	J	`jnl`	A Study on Human-Swarm Interaction: A Framework for Assessing Situation Awareness and Task Performance. CoRR Wasura D. Wattearachchi, Erandi Lakshika, Kathryn Kasmarik, Michael Barlow
2025	B	`conf`	Designing Effective Human-Swarm Interaction Interfaces: Insights from a User Study on Task Performance. SMC Wasura D. Wattearachchi, Erandi Lakshika, Kathryn Kasmarik, Michael Barlow
2025	J	`jnl`	Designing Effective Human-Swarm Interaction Interfaces: Insights from a User Study on Task Performance. CoRR Wasura D. Wattearachchi, Erandi Lakshika, Kathryn Kasmarik, Michael Barlow
2025	C	`conf`	TFVDFuzzer: Transformer-based Fuzzing Framework for Vulnerability Detection in Modbus Protocol. PST Ahmed Reda Aldysty, Nour Moustafa, Erandi Lakshika
2025	—	`conf`	Understanding Human Situation Awareness in One-to-Many Human-Robot Interaction Scenarios. AI (2) Wasura D. Wattearachchi, Erandi Lakshika, Kathryn Kasmarik, Michael Barlow
2024	J	`jnl`	Effective Motive Profile Compositions for Cooperative Ad-Hoc Teams. IEEE Trans. Cogn. Dev. Syst. Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana
2023	A*	`conf`	Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments. IJCAI Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana
2023	J	`jnl`	Automatic Recognition of Collective Emergent Behaviors Using Behavioral Metrics. IEEE Access Shuo Yang, Dilini Samarasinghe, Anupama Arukgoda, Shadi Abpeikar, Erandi Lakshika, Michael Barlow
2023	—	`conf`	Competitive Collaboration for Complex Task Learning in Agent Systems. AI (2) Dilini Samarasinghe, Michael Barlow, Erandi Lakshika
2023	A	`conf`	Context-aware Agents based on Psychological Archetypes for Teamwork. AAMAS Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana
2023	J	`jnl`	Reinforcement Learning Agents Playing Ticket to Ride-A Complex Imperfect Information Board Game With Delayed Rewards. IEEE Access Shuo Yang, Michael Barlow, Thomas Townsend, Xuejie Liu, Dilini Samarasinghe, Erandi Lakshika, Glennn Moy, Timothy M. Lynar, Benjamin P. Turnbull
2023	J	`jnl`	Toward Stress Detection During Gameplay: A Survey. IEEE Trans. Games Chamila Wijayarathna, Erandi Lakshika
2022	J	`jnl`	Flow-Based Reinforcement Learning. IEEE Access Dilini Samarasinghe, Michael Barlow, Erandi Lakshika
2022	J	`jnl`	Grammar-based autonomous discovery of abstractions for evolution of complex multi-agent behaviours. Swarm Evol. Comput. Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik
2022	J	`jnl`	Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems. Swarm Evol. Comput. Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik
2021	J	`jnl`	A Data Driven Review of Board Game Design and Interactions of Their Mechanics. IEEE Access Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Timothy M. Lynar, Nour Moustafa, Thomas Townsend, Benjamin P. Turnbull
2021	J	`jnl`	A novel trust architecture integrating differentiated trust and response strategies for a team of agents. Int. J. Intell. Syst. Shuo Yang, Michael Barlow, Kathryn Kasmarik, Erandi Lakshika
2021	J	`jnl`	Exploiting abstractions for grammar-based learning of complex multi-agent behaviours. Int. J. Intell. Syst. Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik
2021	—	`conf`	Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model. SSCI Shuo Yang, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik
2021	—	`conf`	Subject and Activity-wise Performance for Activity Independent Person Recognition. SSCI Seham Abd Elkader, Michael Barlow, Erandi Lakshika
2021	B	`conf`	Task Allocation in Multi-Agent Systems with Grammar-Based Evolution. IVA Dilini Samarasinghe, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik
2020	—	`ed.`	AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings Australasian Conference on Artificial Intelligence Marcus Gallagher, Nour Moustafa, Erandi Lakshika
2020	—	`conf`	Activity-Independent Person Identification Based on Daily Activities Using Wearable Sensors. Australasian Conference on Artificial Intelligence Seham Hussein, Michael Barlow, Erandi Lakshika
2020	—	`conf`	Analysis and Prediction of Player Population Changes in Digital Games During the COVID-19 Pandemic. Australasian Conference on Artificial Intelligence Dulakshi Wannigamage, Michael Barlow, Erandi Lakshika, Kathryn E. Kasmarik
2020	J	`jnl`	Impact of Using Active Locomotion Interfaces for Gameplay: A Study on Exertion Levels and Presence. IEEE Trans. Games Leigh Gray, Erandi Lakshika, Michael Barlow
2020	—	`conf`	Towards Potential of N-back Task as Protocol and EEGNet for the EEG-based Biometric. SSCI Nima Salimi, Michael Barlow, Erandi Lakshika
2019	—	`conf`	Heart Rate and Breathing Variability for Virtual Reality Game Play. SeGAH Teeranan Charoensook, Michael Barlow, Erandi Lakshika
2019	—	`conf`	Mental Workload Classification Using Short Duration EEG Data: an Ensemble Approach Based on Individual Channels. SSCI Nima Salimi, Michael Barlow, Erandi Lakshika
2019	—	`conf`	Prosthetic Rehabilitation Training in Virtual Reality. SeGAH Darpan Dhawan, Michael Barlow, Erandi Lakshika
2019	C	`conf`	Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach. CoG Dulakshi Vihanga, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik
2018	A	`conf`	Automatic synthesis of swarm behavioural rules from their atomic components. GECCO Dilini Samarasinghe, Erandi Lakshika, Michael Barlow, Kathryn Kasmarik
2018	Misc	`conf`	Wearable sensors for recognizing individuals undertaking daily activities. UbiComp Seham Abd Elkader, Michael Barlow, Erandi Lakshika
2017	—	`conf`	Precision of control as a function of control scheme: Implications for serious exertion games from a Flow perspective. SeGAH Erandi Lakshika, Michael Barlow
2017	J	`jnl`	Understanding the Interplay of Model Complexity and Fidelity in Multiagent Systems via an Evolutionary Framework. IEEE Trans. Comput. Intell. AI Games Erandi Lakshika, Michael Barlow, Adam Easton
2016	—	`conf`	A natural locomotion interface: Its impact on presence and usage in a social-media charity event for mental health. SeGAH James Dannatt, Michael Barlow, Erandi Lakshika
2016	J	`jnl`	Evolving lane merge traffic behaviour simulations via a macroscopic objective function and a machine learning system trained through bootstrapped human judgement. Appl. Intell. Erandi Lakshika, Michael Barlow, Adam Easton
2016	C	`conf`	Proceedings in Adaptation, Learning and Optimization. IES Erandi Lakshika, Michael Barlow
2016	B	`conf`	What cost teamwork: Quantifying situational awareness and computational requirements in a proto-team via multi-objective evolution. CEC Michael Barlow, Erandi Lakshika
2015	—	`conf`	Evolving High Fidelity Low Complexity Sheepdog Herding Simulations Using a Machine Learner Fitness Function Surrogate for Human Judgement. Australasian Conference on Artificial Intelligence Erandi Lakshika, Michael Barlow, Adam Easton
2014	—	`—`	An exploration of the complexity-fidelity trade-off in multi-agent systems via an evolutionary framework. Erandi Lakshika
2013	C	`conf`	Co-evolving semi-competitive interactions of sheepdog herding behaviors utilizing a simple rule-based multi agent framework. ALIFE Erandi Lakshika, Michael Barlow, Adam Easton
2012	B	`conf`	Fidelity and complexity of standing group conversation simulations: A framework for the evolution of Multi Agent Systems through bootstrapping human aesthetic judgments. IEEE Congress on Evolutionary Computation Erandi Lakshika, Michael Barlow, Adam Easton
2008	—	`conf`	AOnesC: An Aspect-Oriented Extension to nesC. NTMS Erandi Lakshika, Chamath Keppitiyagama, Dulan Wathugala