Associate Professor Kathryn Kasmarik

Deputy Head of School (Teaching)
School of Engineering and Information Technology
UNSW Canberra Cyber
k.merrick@adfa.edu.au
+61 2 5114 5164
+61 2 6268 8443
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LOCATION

Building 17 Room 201A
School of Engineering and Information Technology, The University of New South Wales, Australian Defence Force Academy, PO Box 7916, Canberra BC ACT 2610, AUSTRALIA

  • ABOUT
  • PUBLICATIONS

Kathryn Kasmarik is an associate professor in information technology at the University of New South Wales, Australian Defence Force Academy (UNSW Canberra). She is currently the Deputy Head of School (Teaching) for the School of Engineering and IT. 

Kathryn completed a Bachelor of Computer Science and Technology at the University of Sydney, including a study exchange at the University of California, Los Angeles (UCLA). She graduated with First Class Honours and the University Medal in 2002. She completed a PhD in computer science through the National ICT Australia and the University of Sydney in 2007. She moved to UNSW Canberra in 2008. She has published over 100 articles in peer reviewed conference and journals. Her research has been funded by the Australian Research Council and Defence Science and Technology Group, among other sources.

Before joining UNSW Canberra, Kathryn worked as a computer programmer in the financial services industry, as an intern in digital image processing and as a research assistant at the Key Centre for Design Computing and Cognition at the University of Sydney. Her techical skills include Java and MATLAB programming, Android application development, artificial neural networks, reinforcement learning, game theory and swarm intelligence algorithms.

Publications

Kathryn has over 100 publications including two books. She has published as both Kathryn Kasmarik and Kathryn Merrick. Click the links below or to the right to view Kathryn's publications 

Books

Merrick K, 2016, Computational Models of Motivation for Game-Playing Agents, Springer International Publishing, http://dx.doi.org/10.1007/978-3-319-33459-2

Merrick K; Maher ML, 2009, Motivated Reinforcement Learning: Curious Characters for Multiuser Games, Springer Verlag, Berlin, http://dx.doi.org/10.1007/978-3-540-89187-1

Book Chapters

Merrick K; Klyne A; Hardhienata M, 2017, 'Computational Motivation, Autonomy and Trustworthiness: Can We Have It All?', in Foundations of Trusted Autonomy, Springer, pp. 293 - 316, http://dx.doi.org/10.1007/978-3-319-64816-3_16

Merrick KE, 2013, 'Novelty and beyond: Towards combined motivation models and integrated learning architectures', in Baldassarre G; Mirolli M (ed.), Intrinsically Motivated Learning in Natural and Artificial Systems, Springer Verlag, pp. 209 - 233, http://dx.doi.org/10.1007/978-3-642-32375-1_9

Macindoe O; Maher ML; Merrick K, 2012, 'Agent Based Intrinsically Motivated Intelligent Environments', in Yang L; Syukur E; Loke S (ed.), Handbook on Mobile and Ubiquitous Computing Status and Perspective, CRC Press, https://www.crcpress.com/Handbook-on-Mobile-and-Ubiquitous-Computing-Status-and-Perspective/Yang-Syukur-W-Loke/9781439848111

Gu N; Merrick K, 2011, 'A Pedagogical Approach to Exploring Place and Interaction Design in Collaborative Virtual Environments', in Wang X; Tsai JJH (ed.), Collaborative Design in Virtual Environments, edn. Intelligent Systems Control and Automation Science and Engin, Springer Verlag, pp. 111 - 120, http://dx.doi.org/10.1007/978-94-007-0605-7_10

Journal articles

Ali IM; Essam D; Kasmarik K, 2021, 'Novel binary differential evolution algorithm for knapsack problems', Information Sciences, vol. 542, pp. 177 - 194, http://dx.doi.org/10.1016/j.ins.2020.07.013

Fernandez Rojas R; Debie E; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2020, 'Electroencephalographic Workload Indicators During Teleoperation of an Unmanned Aerial Vehicle Shepherding a Swarm of Unmanned Ground Vehicles in Contested Environments', Frontiers in Neuroscience, vol. 14, http://dx.doi.org/10.3389/fnins.2020.00040

Khan M; Kasmarik K; Barlow M, 2020, 'Autonomous Detection of Collective Behaviours in Swarms', Swarm and Evolutionary Computation

Ali IM; Essam D; Kasmarik K, 2019, 'A novel differential evolution mapping technique for generic combinatorial optimization problems', Applied Soft Computing Journal, vol. 80, pp. 297 - 309, http://dx.doi.org/10.1016/j.asoc.2019.04.017

Ali I; Essam D; Kasmarik K, 2019, 'A Novel Design of Differential Evolution for Solving Discrete Traveling Salesman Problems', Swarm and Evolutionary Computation

Dennis Z; Wilson K; Boyson T; Kasmarik K, 2019, 'Building girls' confidence in themselves as future engineers', Teaching Science, vol. 65, pp. 10 - 18

Abdelfattah S; Kasmarik K; Hu J, 2019, 'Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes', IEEE Transactions on Cognitive and Developmental Systems, Special Issue on Continual Unsupervised Sensorimotor Learning, http://dx.doi.org/10.1109/TCDS.2019.2948025

Dhakan P; Merrick K; Siddique N; Rano I, 2019, 'Open-Ended Continuous Learning of Compound Goals', IEEE Transactions on Cognitive and Developmental Systems, Special Issue on Continual Unsupervised Sensorimotor Learning, http://dx.doi.org/10.1109/TCDS.2019.2947896

Debie E; Fernandez Rojas R; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2019, 'Multi-Modal Fusion for Objective Assessment of Cognitive Workload: A Review', IEEE Transactions on Cybernetics

Abdelfattah S; Kasmarik K; Hu J, 2019, 'A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments', Adaptive Behavior

Khan R; Kasmarik K; Barlow M, 2018, 'Towards Computational Motivation for Multi-Agent Systems and Swarms', Frontiers in Robotics and AI-Computational Intelligence, vol. 5, http://dx.doi.org/10.3389/frobt.2018.00134

Dhakan P; Kasmarik K; Rano I; Siddique N, 2018, 'Intrinsic Rewards for Maintenance, Approach, Avoidance and Achievement Goal Types', Frontiers in Neurorobotics, vol. 12, http://dx.doi.org/10.3389/fnbot.2018.00063

Abdelfattah S; Kasmarik K; Hu J, 2018, 'Evolving Robust Policy Coverage Sets in Multi-objective Markov Decision Processes Through Intrinsically Motivated Self-play', Frontiers in Neurorobotics, vol. 12, pp. 65, http://dx.doi.org/10.3389/fnbot.2018.00065

Harvey J; Merrick K; Abbass H, 2018, 'Assessing Human Judgement of Computationally Generated Swarming', Frontiers Robotics and AI, vol. 5, http://dx.doi.org/10.3389/frobt.2018.00013

Yang Z; Merrick K; Abbass H, 2018, 'Hierarchical Deep Reinforcement Learning for Continuous Action Control', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, pp. 5174 - 5184, http://dx.doi.org/10.1109/TNNLS.2018.2805379

Debie E; Shafi K; Merrick K; Lokan C, 2017, 'On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems', Computational Intelligence, vol. 33, pp. 554 - 578, http://dx.doi.org/10.1111/coin.12099

Siddique N; Dhakan P; Rano I; Merrick K, 2017, 'A Review of the Relationship between Novelty, Intrinsic Motivation and Reinforcement Learning', Paladyn Journal of Behavioral Robotics, vol. 8, pp. 58 - 69, http://dx.doi.org/10.1515/pjbr-2017-0004

Merrick K, 2017, 'Value Systems for Developmental Cognitive Robotics: A Survey', Cognitive Systems Research, vol. 41, pp. 38 - 55, http://dx.doi.org/10.1016/j.cogsys.2016.08.001

Liu X; Merrick K; Abbass H, 2017, 'Towards Electroencephalographic Profiling of Player Motivation: A Survey', IEEE Transactions on Cognitive and Developmental Systems, vol. 10, pp. 499 - 513, http://dx.doi.org/10.1109/TCDS.2017.2726083

Klyne A; Merrick K, 2016, 'Intrinsically motivated particle swarm optimisation applied to task allocation for workplace hazard detection', Adaptive Behavior: animals, animats, software agents, robots, adaptive systems, vol. 24, pp. 219 - 236, http://dx.doi.org/10.1177/1059712316651686

Merrick K; Siddique N; Rano I, 2016, 'Experience-Based Generation of Maintenance and Achievement Goals on a Mobile Robot', Paladyn Journal of Behavioral Robotics, vol. 7, pp. 67 - 84, http://dx.doi.org/10.1515/pjbr-2016-0006

Merrick K; Hardhienata M; Shafi K; Hu J, 2016, 'A Survey of Game Theoretic Approaches to Modelling Decision-Making in Information Warfare Scenarios', Future Internet, vol. 8, http://dx.doi.org/10.3390/fi8030034

Wang B; Merrick K; Abbass H, 2016, 'Cooperative co-evolutionary neural networks for mining functional association rules', IEEE Transactions on Neural Networks and Learning Systems, vol. 18 March 2016, pp. 1331 - 1344, http://dx.doi.org/10.1109/TNNLS.2016.2536104

Abbass H; Leu G; Merrick K, 2016, 'A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data', IEEE Access, vol. 4, pp. 2808 - 2830, http://dx.doi.org/10.1109/ACCESS.2016.2571058

Abbass HA; Petraki E; Merrick K; Harvey J; Barlow M, 2015, 'Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges', Cognitive Computation, vol. 8, pp. 385 - 408, http://dx.doi.org/10.1007/s12559-015-9365-5

Harvey J; Merrick K; Abbass HA, 2015, 'Application of chaos measures to a simplified boids flocking model', Swarm Intelligence, vol. 9, pp. 23 - 41, http://dx.doi.org/10.1007/s11721-015-0103-0

Schiechowski M; Merrick K; Mandziuk J; Abbass H, 2015, 'Human Machine Cooperation Loop in Game Playing', International Journal on Advances in Intelligent Systems, vol. 8, pp. 310 - 323, https://www.thinkmind.org/index.php?view=article&articleid=intsys_v8_n34_2015_8

Merrick K, 2015, 'The Role of Implicit Motives in Strategic Decision-Making: Computational Models of Motivated Learning and the Evolution of Motivated Agents', Games, vol. 6, pp. 604 - 636, http://dx.doi.org/10.3390/g6040604

Merrick K; Shafi K, 2013, 'A Game Theoretic Framework for Incentive-Based Models of Intrinsic Motivation in Artificial Systems', Frontiers in Psychology, Cognitive Science, Special Issue on Intrinsic Motivations and Open-Ended Development in Animals, Humans and Robots, vol. 4, http://dx.doi.org/10.3389/fpsyg.2013.00791

Merrick K; Debie E; Shafi K; Lokan C, 2013, 'Performance Analysis of Rough Set Ensemble of Learning Classifier Systems with Differential Evolution based Rule Discovery', Evolutionary Intelligence, vol. 6, pp. 109 - 126, http://dx.doi.org/10.1007/s12065-013-0093-z

Merrick K; Isaacs A; Barlow M; Gu N, 2013, 'A Shape Grammar Approach to Computational Creativity and Procedural Content Generation in Massively Multiplayer Online Role-Playing Games', Entertainment Computing, vol. 4, pp. 115 - 130, http://dx.doi.org/10.1016/j.entcom.2012.09.006

Merrick K, 2012, 'Intrinsic Motivation and Introspection in Reinforcement Learning', IEEE Transactions on Autonomous Mental Development, vol. 4, pp. 315 - 329, http://dx.doi.org/10.1109/TAMD.2012.2208457

Shafi K; Merrick K, 2011, 'A curious agent for network anomaly detection', 10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011, vol. 2, pp. 1009 - 1010

Merrick K; Shafi K, 2011, 'Achievement, affiliation, and power: Motive profiles for artificial agents', Adaptive Behavior, vol. 19, pp. 40 - 62, http://dx.doi.org/10.1177/1059712310395953

Merrick K; Gu N; Wang X, 2011, 'Case Studies Using Multiuser Virtual Worlds as an Innovative Platform for Collaborative Design', Journal of Information Technology in Construction, Special Issue on the Use of Virtual World Technology in Architecture, Engineering and Construction, vol. 16, pp. 165 - 188, http://www.itcon.org/cgi-bin/works/Show?2011_12

Merrick K, 2010, 'A Comparative Study of Value Systems for Self-Motivated Exploration and Learning by Robots', IEEE Transactions on Autonomous Mental Development, vol. 2, pp. 119 - 131, http://dx.doi.org/10.1109/TAMD.2010.2051435

Merrick K, 2010, 'Modeling Behavior Cycles as a Value System for Developmental Robots', Adaptive Behavior, vol. 18, pp. 237 - 257, http://dx.doi.org/10.1177/1059712309359948

Merrick K, 2010, 'An Empirical Evaluation of Puzzle-Based Learning as an Interest Approach for Teaching Introductory Computer Science', IEEE Transactions on Education, vol. 53, pp. 677 - 680, http://dx.doi.org/10.1109/TE.2009.2039217

Merrick K; Maher ML, 2009, 'Motivated learning from interesting events: Adaptive, multitask learning agents for complex environments', Adaptive Behavior, vol. 17, pp. 7 - 27, http://dx.doi.org/10.1177/1059712308100236

Maher ML; Rosenman M; Merrick K, 2007, 'Agents For Multi-Disciplinary Design in Virtual Worlds', AI Edam-Artificial Intelligence for Engineering Design Analysis and Manufacturing, vol. 21, pp. 267 - 277, http://dx.doi.org/10.1017/S0890060407000273

Merrick K, 2007, 'Modelling Motivation for Adaptive Non-Player Characters in Dynamic Computer Game Worlds', Computers In Entertainment, vol. 5, http://dx.doi.org/10.1145/1324198.1324203

Nguyen HT; Nguyen TD; Tran VP; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass HA, 'Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding', , http://arxiv.org/abs/2004.11543v4

Nguyen TD; Kasmarik KE; Abbass HA, 'Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees', , http://arxiv.org/abs/2003.04675v2

Conference Papers

Kasmarik K; Abpeikar S; Khan MM; Khattab N; Barlow M; Garratt M, 2020, 'Autonomous Recognition of Collective Behaviour in Robot Swarms', Canberra, Australia, presented at 33rd Australasian Joint Conference on Artificial Intelligence, Canberra, Australia, 29 November 2020

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