Professor Kathryn Kasmarik
Kathryn Kasmarik is a Professor of Computer Science at the University of New South Wales, Australian Defence Force Academy (¶¶Òõ¶ÌÊÓƵ). Her current research interests are in building swarming robots that can evolve their own collective behaviours. She is the co-founder of ¶¶Òõ¶ÌÊÓƵ AIR (AI and Robotics) Group:Ìý
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 ¶¶Òõ¶ÌÊÓƵ in 2008. She has published over 150 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.ÌýShe was the Deputy Head of School (Teaching) for the School of Engineering and IT from 2018-2021 and Head of School (Acting) establishing a new School of Systems and Computing at ¶¶Òõ¶ÌÊÓƵ from 2023-2024.Ìý
Before joining ¶¶Òõ¶ÌÊÓƵ, 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 technical skills include python, Java and MATLAB programming, Android application development, artificial neural networks, reinforcement learning, game theory and swarm intelligence algorithms.
Publications
Kathryn has over 140Ìýpublications 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 publicationsÌý
- .Ìý
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
Kathryn has been awarded $5 million in competitive internal and external grants. Sources include the Australian Research Council, Defence Science and Technology Group, US Department of Airforce / Asian Office of Aerospace Research and Development and US Air Force Office of Scientific Research .Ìý
External
Garratt, M., Kasmarik, K., Miroschnichenko, A., Hattori, H., Ghodrat, M., Plested, J., Anavatti, S., Solnstev, A., Bishop, D., Tran, T., Alcock, G., Gooding, D., (2024-25) Heterogeneous Robot Teaming and Sensor Enhancements for Active CBRN Threat Modelling, Defence Innovation Network Strategic Investment Initiative, $498,931
Ravi, S., Kasmarik, K., (2023)ÌýEmergent behaviours in non-cooperative biological swarms and bio-inspired strategies shepherding robotic swarms,ÌýUS Air Force Office of Scientific Research / Air Force Defense Research Sciences Program, $132,841
Ravi, S., Kasmarik, K., (2023)ÌýBio-Inspired Robot Navigation and Control in Unknown and Limited Visibility Environments,ÌýUS Department of Airforce / Asian Office of Aerospace Research and Development (AOARD), $17,546
Garratt, M., Ougrinovski, V.,Ìý Kasmarik, K., Anavatti, S., (2022-2025), ¶¶Òõ¶ÌÊÓƵ, Robotics and Autonomous Systems Lab, University of Adelaide / Defence Science & Technology Group (DSTG) Shared Contract, $1,500,035
Garratt, M., Kasmarik, K., Anavatti, S., (2021-23) Multi Robot Systems for Operation in CBRN Environments, Defence Science and Technology Group, $650,000
Garratt, M., Kasmarik, K., Anavatti, S., (2020-21) Heterogeneous Multi Robot Test Bench, Defence Science and Technology Group, $235,000
Abbass, H., Joiner, K., Kasmarik, K., Debie, E., El-Fiqi, H (2020)ÌýDeveloping Defence Data Science Capabilities, Department of Defence/Commonwealth Government Contract, $504, 225
Merrick, K., Garratt, M., (2020-2022)ÌýBehaviour Bootstrapping for Ad Hoc, Heterogeneous Robot Swarms, Australian Research Council Discovery Project, $374,000
Abbass, H., Anavatti, S., Barlow, M., Garratt., M., Merrick, K., (2018-19) Autonomous Coordination Policies in Ground-Air Unmanned Systems Interaction, Asian Office of Aerospace Research and Development, $52,334.
Merrick, K., O'Byrne, S., Wilson, K., Boyson, T., Ray, T., Leu, G., Do, Q (2017-18) IEEE YoWIENet ACT, Young Women in Engineering Network, $44,730,ÌýIEEE New Initiative Seed Grant.
Barlow, S., Hunjet, R., Pourbeik, P., Merrick, K., Tang, J., Lakshika, K. (2017) Trust in human-machine teaming through machine education: a skill-based agent design, $61,999, DST-G, Competitive Evaluation Research Agreement.
Abbass, H., Anavatti, S., Barlow, M., Garratt, M., Merrick, K., Leu, G., Lakshika, E. (2016)Ìý,Ìý$50,000, Defence Science and Technology Group Collaborative Project.
Abbass, H., Anavatti, S., Barlow, M., Garratt, M., Merrick, K. (2016-19)ÌýTrusted Human-Autonomy Teaming in Teleoperations, Defence Science and Technology Group (HPRnet),Ìý$447,980 over 4 years.
Abbass, H., Merrick, K., Tan, K. C.,ÌýBezerianos, A., (2016-20)Ìý, Australian Research Council Discovery Project, $560,000Ìý
Siddique N., Rano, I., Merrick, K., (2014-19) Motivated Reinforcement Learning in Robots. University of Ulster, Faculty of Computing and Engineering, PhD Scholarship, $75,000 over 6 years.
Merrick, K., Debie, E.: (2011-12) Extending the Data Mining Capabilities of Learning Classifier Systems to High-Dimensional Search Spaces and Limited Training Data, National Computational Infrastructure Start-up Grant (Supercomputer time allocation)
Merrick, K.: (2009) Curious Characters: From Virtual Worlds to Sentient Homes, EuCogII Travel Grant, International Workshop on Intrinsically Motivated, Cumulative Learning, Versatile Robots [Invited speaker], $3,000.
Maher, M.L., Merrick, K., Saunders, R.: (2008) Achieving Creative Behaviour Using Curious Learning Agents, National Science Foundation Travel Grant, AAAI Symposium on Creative Intelligent Systems, $2,000.
Internal
Kasmarik, K., Abbass, H., El-Fiqi, H., 2024, SysCom Commercialisation Support, $5,320
Kasmarik, K., Garratt, M., Anavatti, S., Lakshika, E., Abpeikar, S., Debie, E., Arachchige, D., Wang, B., Perera, A., Yang, S., Abbass, H., Baker, D., Liu, X., Hattori, H., Woolley, M., Plested, J., El-Fiqi, H., Hossny, M., Hussein, A., Tran, P., Miroshnichenko, A., 2023, Heterogeneous Robot Swarms, $68,645, UNSW Research Infrastructure Scheme
Kasmarik, K., Garratt, M., Ravi, S., Anavatti, S., 2022-23, Trusted Autonomy Self Forming Research Group Bid, School of Engineering and IT, ¶¶Òõ¶ÌÊÓƵ, $27,911
Ghodrat, M., Sharples, J., Kasmarik, K., Abpeikar, S., Plested, J., Hattori, H., Miroshnichenko, A., 2022, Using AI in modelling bushfire propagation in complex environments, AI Hub Seed Funding, $45,000
Garratt, M., Kasmarik, K., Anavatti, S., Lynar, T., Ravi, S., Abpeikar, S., Tran, P., Khan, M.,ÌýMuthusamy, P., 2021, Trusted Autonomy, SEIT Self-Forming Research Grant Bid,Ìý$55,133
Garratt, M., Kasmarik, K.,ÌýAbpeikar, S., Hunjet, R., 2020,ÌýSelf-Generating Collective Behaviours in Swarms, UNSW Defence Related Research Scheme, $20,000.
Garratt, M., Galliott, J., Abbass, H., Anavatti, S., Kasmarik, K., Lynar, T., Barlow, M., Lakshika, E., Jevglevskaja, N., Cappuccio, M., 2020, Humanoid robots, UNSW Research Infrastructure Scheme, $32,330.
Garratt, M., Ougrinovski, O., Kasmarik, K., Barlow, M., Anavatti, S., Pickering, M. 2019, Jackal Unmanned Ground Vehicles, UNSW Research Infrastructure Scheme, $50,000.
Boyson, T., Kasmarik, K., Wilson, K., Aboutorab, N., Hoke, C., Sitnikova, E., Smith, W., Imran, A., Joiner, K., Kleine, H., Neely, A., O'Byrne, S., (2018) SEIT Maker Space, Research Focus Group Bid, $130,500.Ìý
Merrick, K.: (2017) Achievement, affiliation and power: computational motivation for game-playing agents, Vice-Chancellor's Childcare Support Fund for Women Researchers at UNSW, $1,740.
Tang, J., Abbass, H., Anavatti, S., Barlow, M Garratt, M., Kasmarik, K., (2017)Ìý¶¶Òõ¶ÌÊÓƵ Distributed Simulation Facility,ÌýMajor Infrastructure Big Bid, $102, 211.
Garratt, M., Anavatti, S., Abbass, H., Merrick, K., Barlow, M., (2017)ÌýVICON Vero Cameras,ÌýSchool of Engineering and Information Technology, Minor Equipment Grant, $18,550.
Ding, L., Prasad, D., Peterson, H., Merrick, K., Abbass, H., Garratt, M., Anavatti, S, (2017) Sustainable Smart Cities, Faculty of Built Envionment (UNSW Sydney) Faculty Research Grant, $12,000.
Abbass, H., Anavatti, S., Arachchilage, N., Barlow, M., Garratt, M., Gulrez, T., Hu, J., Jovanoski, Z., Kasmarik, K., Lakshika, E., 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
Kasmarik, K.: (2016) Using Game Theory with Intrinsic Motivation to Examine Anti-Hacking Policies for Autonomous Systems, Vice-Chancellor's Childcare Support Fund for Women Researchers at UNSW, $2,000.
Barlow, M., Garratt, M.,ÌýAbbass, H.,ÌýMerrick, K., ÌýAnavatti, S.: (2016) VICON Partitioning and Virtual Reality Capability, School of Engineering and IT Big Bidding Initiative, $11,000.
Garratt, M., Pickering, M., Barlow, M., Abbass, H., Anavatti, S., Pota, H., Merrick, K.: (2015) Large Scale Motion Capture System, Major Research Equipment and Infrastructure Initiative, $29,292.
Merrick, K., Shafi, K., Hu, J.: (2015) A game theoretic approach to modelling the effects of intrinsic motivation on decision-making in information warfare scenarios, Australian Centre for Cyber Security, Competitive Internal Grant, $55,000.
Merrick, K., (2014) Interaction between audio and visual signals on perception of 3D virtual materials, School of Engineering and Information Technology, Minor Equipment Grant, $2,000.
Merrick, K., Yu, S., Hu, J.: (2012) Using Computational Models of Creativity as a Machine Learning Guide for Predicting Zero-Day Attacks on Computer Systems and Networks, Defence Related Research Funding Scheme, Competitive Internal Grant, $17,000.
Merrick, K., Gu, N., Barlow, M.: (2011) Dynamic Content Generation of Virtual Worlds for Regional Australian Communities, UNSW@¶¶Òõ¶ÌÊÓƵ Research Training Scholarship, Competitive Internal Grant, $72,180 over 3 years.
Merrick, K., Shafi, K.: (2011) Agent-based game-theoretic models of human motivation for natural resource management, UNSW@¶¶Òõ¶ÌÊÓƵ Early Career Researcher Grant Scheme, Competitive Internal Grant, $24,620.
Merrick, K., Shafi, K.: (2010) Modelling Curious Agents as an Anomaly Detection Approach to Network Intrusion Detection, UNSW@¶¶Òõ¶ÌÊÓƵ Early Career Researcher Grant Scheme, Competitive Internal Grant, $32,500.
Merrick, K.: (2010) Learning models for curious, reconfigurable robots, UNSW@¶¶Òõ¶ÌÊÓƵ Silverstar Grant, $20,000.
Merrick, K., Gu, N., Barlow, M., (2010) Dynamic content generation for adaptive virtual worlds, UNSW@¶¶Òõ¶ÌÊÓƵ Silverstar Grant, $20,000.
Merrick, K.: (2009) Evaluating Intrinsically Motivated Robots using Affordances and Point-Cloud Matrices, Vice-Chancellor's Childcare Support Fund for Women Researchers at UNSW, $2,000.
Merrick, K., Ougrinovski, V.: (2009) Modelling Motivation for Coordination in Robot Platoons, UNSW@¶¶Òõ¶ÌÊÓƵ Research Training Scholarship, Competitive Internal Grant, $64,881 over 3 years.
Merrick, K.: (2008) Modelling Motivation for Adaptive, Learning Robots, UNSW@¶¶Òõ¶ÌÊÓƵ Rector's Start-Up Grant, $10,000.
Ìý
Professional Service
Kathryn has served as a reviewer for journals, conference and funding agencies both locally and internationally. She is a senior member of the IEEE, where her volunteer roles have included:
IEEE ACT Section (Secretary, 2021-22)
IEEE Women in Engineering, ACT Chapter (Chair, 2019-20)
IEEE Computational Intelligence Society,ÌýCognitive and Developmental Systems Technical Committee (Chair, 2017-18)
IEEE Computational Intelligence Society ACT Chapter (Secretary, 2015-2016; Chair 2017-18)
IEEE Technical Activities Committee (Member, 2017)
IEEE Computational Intelligence Society, Emerging Technologies Technical Committee (Member, 2014)
IEEE Computational Intelligence Society, Autonomous Mental Development Technical Committee (Member, 2012-2014)
IEEE Sub-committee for Women in Computational Intelligence (Member, 2011, 2015-19)
Associate and Guest Editor Roles
Associate Editor, Frontiers in AI and Robotics (Computational Intelligence in Robotics Specialisation), 2021-
Guest Editor,ÌýIEEE Transactions on Cognitive and Developmental Systems, Special Issue on Intrinsically Motivated Open-ended Learning, 2020
Associate Editor,ÌýIEEE Transactions on Cognitive and Developmental Systems, 2016-17
Associate Editor,ÌýIEEE Transactions on Autonomous Mental Development, 2014-2015
Guest Editor,ÌýFuture Internet,Ìý,Ìý2015
Organising Committees
General Co-Chair, , Sydney, 2023
Chair, , 2018-20
Special Session Chair,Ìý,Ìýat the , Athens, Greece, 2016.
Finance/RegistrationÌýChair, ,ÌýCanberra, Australia, 2016.
Organising Chair, , Canberra Australia, 2015.
Special Session Organising Committee, Grounded Cognition, Creativity and Motivated Learning, at the IEEE Symposium on computational Intelligence for Human-like Intelligence, Orlando, Florida, 2014.
Registration Chair,Ìý, Brisbane, Australia, 2012
Program Committees
IEEE Symposium on Computational Intelligence for Defence and Security Applications, 2021Ìý
American Psychology Association Technology, Mind and Society Conference, 2018.
The 30th Australasian Joint Conference on Artificial Intelligence, 2017.
The Eighth International Conference on Advanced Cognitive Technologies and Applications, COGNITIVE 2016
International High-Performance Built Environments Conference: Sustainable Built Environments (SBE 2016), Sydney, 2016
International Conference on Machine Learning Applications, ICMLA 2015
International Conference on Robotics and Automation, 2013.
Special Session on Computational Intelligence for Security, Surveillance and Defense (CISSD) at the 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, 10-15 June.
The International Conference on Mobile, Ubiquitous Computing, Systems, Services and Technologies, UBICOMM 2011, 2014, 2015.
The 24th Australasian Joint Conference on Artificial Intelligence (AI-11), Australia, 2011
International Symposium on Artificial Life and Robotics, 2011-2013
International Symposium on Computational Models for Life Sciences, 2011.
The 23rd Australasian Joint Conference on Artificial Intelligence (AI-10), Adelaide, Australia, 2010
The Australasian Workshop on Computational Creativity - Melbourne, Australia, 2009
The 22nd Australasian Joint Conference on Artificial Intelligence (AI-09), Melbourne, Australia, 2009
The Fourth Australian Conference on Artificial Life (ACAL'09), Melbourne, Australia, 2009.
ACM International Conference on Advances in Computer Entertainment (ACE 2009), Athens, Greece, 2009
The Second IEEE Symposium on Computational Intelligence for Security and Defense Applications, Ottawa, Canada, 8-10 July, 2009.
International Symposium on Computational Models for Life Sciences, Sofia, Bulgaria, 2009.
The Seventh International Conference on Simulated Evolution And Learning (SEAL'08), Melbourne, Australia, 2008
The 21st Australasian Joint Conference on Artificial Intelligence (AI-08), Auckland, New Zealand, 2008
Reviewer: Conferences
ACM CHI Conference on Human Factors in Computing Systems, 2018
International Conference on Machine Learning Applications, 2014, 2015
IEEE Symposium Series in Computational Intelligence, 2011
IEEE International Conference on Development and Learning (ICDL 2010), An Arbor, Michigan, 2010
ACM International Conference on Advances in Computer Entertainment (ACE 2008), Yokohama, Japan, 2008
The Third International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Melbourne, Australia, 2007
The Sixth International Roundtable Conference on Computational and Cognitive Models of Creative Design, Heron Island, Australia, 2005
Reviewer: Journals
IEEE Transactions on Cybernetics, 2019-2021
IEEE Transactions on Evolutionary Computation, 2010-2012, 2016-18
IEEE Transactions on Autonomous Mental Development (now Trans. Cognitive and Developmental Systems), 2013-2021
IEEE Transactions on Neural Networks and Learning, 2013-2021
Springer, Computing Journal, 2017
Child Development Perspectives, 2017
Connection Science, 2015
ACM Computing Surveys, 2012
IEEE Transactions on Education, 2011, 2017
Journal of Artificial Life and Robotics, 2011-2012
Information Technology in Construction, Special Issue on eLearning, 2011
ACM Computers in Entertainment, Board of Reviewers, 2011
IEEE Computational Intelligence Magazine, 2010
Information Technology in Construction, Special Issue on Use of Gaming and Virtual World Technology in AEC, 2010Automation in Construction, 2010
Adaptive Behaviour, 2010
Learning, Media and Technology incorporating Education, Communication and Information: Special Issue on Learning in Virtual Worlds, 2009
IEEE Computational Intelligence Magazine: Special Issue on Computational Intelligence in Education, 2008.
Assessor/Reviewer: Grants
Australian Research Council - NISDRG Program, 2022
New Zealand Ministry of Business, Innovation and Employment, Endeavour Fund Assessor, 2019.
Australian Research Council College of Experts 2018-2021
Australian Research CouncilÌý- Discovery Projects 2014, 2015, 2016, 2017
Australian Research CouncilÌý- Discovery Early Career Research Projects 2015, 2016
Australian Research Council - Linkage Projects 2015, 2017
Australian Research Council Ìý- Future Fellowships 2016
Netherlands Organisation for Scientific Research (NWO), Council of the Humanities - Creative Industries Stream 2014
Reviewer: Books
Baldassarre G., Mirolli, M., (Eds):ÌýIntrinsically Motivated Learning Systems,Ìý(2011), Springer.
Gregory, S., Lee, M., Dalgarno, B., Tynan, B. (Eds):ÌýVirtual Worlds in Online and Distance EducationÌý(2011), Athabasca University Press.
Ìý
Kathryn's research interests lie in the field of autonomous mental development for machines (specifically computers). Research in autonomous mental development uses principles of cognitive and developmental sciences to build artificial systems capable of ontogenetic development. Such systems initially have little or no domain-specific knowledge or skills in their "infant" stage, but are equipped with generic reasoning mechanisms that permit them to acquire such knowledge and skills through interaction with their environment as they mature to an "adult" stage. Kathryn's research speciality within this domain is the development, use and evaluation of computational models of motivation.
Kathryn has contributed to the theoretical development of computational motivation in reinforcement learning, particle swarm optimisation and game theoretic settings. Applications of Kathryn's research include the control of believable digital characters in online games, intelligent sensed environments, developmental robots, anomaly detection, cyber-security and creative decision making.
Kathryn's currentÌýprojects include user-task co-adaptation, human-autonomy teaming and motivated reinforcement learning.Ìý
This is a research focus area in the School of Engineering and IT at ¶¶Òõ¶ÌÊÓƵ.
This is an ARC funded project
The Trusted Autonomy group at ¶¶Òõ¶ÌÊÓƵ will form a node in the new studying psychological methods for improving mission effectiveness in human-machine teams.
This is a DST-G funded project.
My Research Supervision
Kathryn has supervised PhD, Masters, Honours and Chief of Defence Force (CDF) projects. Below are examples of ongoing and completed projects supervised over the past 15 years.ÌýFor information about prospective projects, contactÌýKathryn Kasmarik.Ìý
Current Students
Yu Zhou (supervisor Prof Matt Garratt, co-supervisor Dr Jo Plested), PhD Candidate, Visual swarming (2024-)
Huma Hafeez (supervisor Prof Matt Garratt), PhD Candidate, (2023-)
Aidan Sawers (joint supervisor Dr Jo Plested) (2023-)
Ryan Locke (supervisor A/Prof Sridhar Ravi, co-supervisor Dr Shadi Abpeikar), (2023-)
Wasura Wattearachchi (supervisor Dr Erandi Lakshika, co-supervisor Prof Michael Barlow), (2023-)
Praveena Dewapura (co-supervisor Dr Asanka Perera, A/Prof Sridhar Ravi) (2023-)
Yomna Ibrahim (supervisor Prof Jiankun Hu) (2023-)
Sara Mohamed (co-supervisor Dr Essam Debie) (2023-)
Mahtab Khani (co-supervisors A/Prof Michael Barlow, Dr Shadi Abpeikar), PhD Candidate (2021-)
Reda Ghanem (joint supervisor Dr Ismail Ali, co-supervisor Prof Matt Garratt), PhD Candidate (2022-)
Jasmin Craufurd-Hill (joint supervisor Dr Tim Lynar, co-supervisor Dr Ben Kaehler), The phylomemetry of device malware,ÌýPhD Candidate (2021-)
Past Students
2023
Noha Khattab (co-supervisor Prof Matt Garratt), Autonomous recognition of collective behaviours in robotic swarms from vision data,ÌýPhD Candidate (2019-2023)
2022
Tung Nguyen (supervisor Prof Hussein Abbass) , Interpretable Knowledge Transfer in Communicative Neural-Based Swarm-Guidance Agents,ÌýPhD Candidate (2019-2022)
Shuo Yang, (supervisor Dr Michael Barlow),ÌýGreat Team Play: A study of computational trust in a team of agents,ÌýPhD Candidate (2017-2022)
Paresh Dhakan (supervisors Dr Nazmul Siddique (University of Ulster, UK), Dr Inaki Rano (University of Ulster, UK)),ÌýMotivated Reinforcement Learning for Robots, PhD Candidate.
2021
Dulakshi Wannigamage (supervisor Dr Michael Barlow), Player population patterns in digital games: A causal view,ÌýPhD Candidate (2017-2021)
Dilini Arachchige (supervisor Dr Michael Barlow), A grammar-based evolutionary framework for learning cooperative multi-agent behaviours,ÌýPhD Candidate (2017-2021)
Laine Jeston-Fenton (co-supervisor Dr Shadi Abpeikar),ÌýVisualising performance measures for robotic swarms in coverage tasks, 4th Year Electrical Engineer.Ìý
2020
Md Mohiuddin Khan (co-supervisor Dr Michael Barlow),ÌýAutonomous Generation and Recognition of Collective Behaviour in Swarms,ÌýPhD Candidate (2016-2020)
Ismail Ali (supervisor Dr Daryl Essam), A differential evolution algorithm for generic combinatorial optimisation problems, PhD (2016-2020)
Van Pham, (co-supervisor A/Prof Chris Lokan)ÌýSoftware quality metrics, PhD Candidate (2015-2020)
2019
Sherif Abdelfattah (co-supervisor Prof Jiankun Hu)ÌýIntrinsically Motivated Multi-objective Reinforcement Learning,ÌýPhD (2015-2019)
2018
Xuejie Liu, (co-supervisor Prof Hussein Abbass),ÌýUsing EEG to Model Player Motive Profiles in Computer Games, PhD , (2014-2018)
Tung Nguyen (supervisor Prof Hussein Abbass)ÌýDeep learning models to assess human’s ability to complete a task,ÌýMaster by ResearchÌý(2016-2018)
Nadia Govier (co-supervisor Dr Heba El-Fiqi),ÌýSimultaneously Learning Multiple Intrinsically Motivated Objectives, 4th Year Electrical Engineer. First Class Honours.
2017
Sarah Bowley, Controlling a self-motivated swarm using a handheld device,ÌýElectrical Engineering 4th Year Project.
John Harvey, (supervisor Prof Hussein Abbass)ÌýPredicting Swarming Behaviour UsingÌýChaos Measures, PhD (2012-2017).
Jacob Hobbs, Computational Models of Power Motivation for Directed Flocking, Electrical Engineering 4th Year Project
Matthew Boorman,ÌýSpeech-based Human-Swarm Interaction,Ìý4th Year Electrical Engineering Project.
Zhaoyang Yang, (co-supervisor Prof Hussein Abbass), Deep Reinforcement Learning for Continuous Action Control,ÌýMaster of Philosophy (2016-17)
2016
Ruby Brady-Welsh, Motivated Reinforcement Learning in Neural Networks,ÌýElectrical Engineering 4th Year ProjectÌý
Nadia Govier,ÌýReinforcement Learning: Establishing the Suitability of Linear and Non-linear Function Approximation Algorithms, Electrical Engineering CDF 2nd Year Project.
2015
Medria Hardhienata (co-supervisor A/Prof Valeri Ougrinovski),ÌýTask Allocation in Multiagent Systems using Models of Motivation and Leadership, PhD (2010-2015).Ìý
Adam Klyne,ÌýSelf-Motivated Task Allocation Algorithms, Electrical Engineering 4th Year Project. The image dataset used in this project can be found . The documentation for the dataset can be found . The dataset is free to download, please referenceÌýKlyne, A., Merrick, K., (2015)Ìý Australasian Joint Conference on Artificial Intelligence.
Ben Quinton,Ìý, Electrical Engineering CDF 2nd Year Project
2014
Essam Debie (co-supervisors Dr Kamran Shafi, Dr Chris Lokan), Extending the Data Mining Capabilities of Learning Classifier Systems to High-Dimensional Search Spaces and Limited Training Data,Ìý PhD (2011-2014). Essam is now a Lecturer in the Faculty of Computers and Informatics, Zagazig University, Egypt.
Hafsa Ismail, (co-supervisor Dr Michael Barlow),ÌýA Neural Network Framework for Motivating Different Task Types in Reinforcement LearningÌýÌýMasters by Research (2011-2014). Hafsa is now a PhD candidate at the University of Canberra.
Bing Wang, (joint-supervisor Prof Hussein Abbass),ÌýAutonomous Hypothesis Generation for Knowledge Discovery in Continuous Domains PhD (2011-2014). Bing is now a post doctoral researcher at the Institute of Acoustics, Chinese Academy of Sciences.
Michele Wilson, (co-supervisor Dr Jonathon Legg (DSTO)),ÌýAnomaly detection for surveillence track data,ÌýMasters of Defence Operations Research, Minor Thesis (2014).
2012
Nick Fraser (co-supervisor Dr Michael Barlow),ÌýModels of Creativity for Generating Creative Artefacts using Developmental Robots, Electrical Engineering 4th Year Project.
2011
Les Kosowski (co-supervisor Brandon Pincombe (DSTO)),ÌýAn Analysis of Infantry Combat using System Dynamics and the Army as a System Framework,ÌýMasters of Defence Operations Research, Minor Thesis (with High Distinction) (2011).
Benjamin Graham,ÌýDeveloping a Curious Social Force Robot for Human-Robot Interactions, Electrical Engineering CDF 2nd Year Project
Benjamin Graham,ÌýImproving Coordination in Multi-Agent Systems Using Models of Motivation, Electrical Engineering CDF 2nd Year Project
Daniel Myers,ÌýMotivated Robots Playing Mixed-Motive Games, Electrical Engineering CDF 2nd Year Project
Fred Rainbird,ÌýSelf-Motivated Software Architectures for Reconfigurable Robots, Electrical Engineering CDF 2nd Year Project
2010
Muhammad Niazi (co-supervisor Dr Kamran Shafi), Masters by Research Candidate (2010-)
Gerard Martin,ÌýUsing Motivation to Control a Search and Rescue Robot, Electrical Engineering CDF 2nd Year Project
2009
Tom Scully, Modelling Affordances for the Control and Evaluation of Intrinsically Motivated Robots, 2nd Year CDF Project. Now a PhD candidate at ¶¶Òõ¶ÌÊÓƵ.
Loyd Ocampo,ÌýCurious Mechanical AnimalsÌý, Electrical Engineering 4th Year Project.
Steve Witzand (supervisor A/Prof Valeri Ougrinovski),ÌýCoordinated Lego Segways, Electrical Engineering 4th Year Project (Awarded Honours I).Ìý
Adam Goossens,ÌýCreative Agent Societies for Non-Player Characters in Virtual Worlds, Computer Science, CDF 3rd Year Project.
2008
Adam Goossens,ÌýSocieties of Motivated Agents for Non-Player Characters in Virtual Worlds, Computer Science CDF 2nd Year Project.
Dayne Schmidt,ÌýRobotic Applications for a Curious PlaceÌý, Electrical Engineering CDF 2nd Year Project
My Teaching
Kathryn has taught at both undergraduate and masters levels. She was the Coordinator for Learning and Teaching Development for the Schools of Engineering and IT and Physical, Environmental and Mathematical Sciences from 2017-2018. She was the Deputy Head of School (Teaching) for the School of Engineering and IT from 2018-2021.Ìý She still teaches computer science to students taking computing and engineering degrees. In recent years she has designed and delivered a suite of robotics and AI courses for these students.
School of Engineering and Technology, ¶¶Òõ¶ÌÊÓƵ
ZEIT 4161: Algorithms for Robots and Autonomous Systems (2023-)
This course introduces training officers to the challenges and opportunities posed by autonomous systems. Students learn a range of single and multi-robot algorithms that can be applied in robotics settings. Application areas include environmental sensing applications, while algorithms include path planning, swarming, reinforcement learning and others.ÌýÌý
School of Systems and Computing, ¶¶Òõ¶ÌÊÓƵ
ZEIT 1102: Introduction to Programming (2023-)
This introductory course provides the fundamental underpinning for studies in computer science. The course was taught in Java until 2023, and will be taught in python from 2024.Ìý
School of Engineering and IT, ¶¶Òõ¶ÌÊÓƵ
ZEIT 2103: Data Structures and Representation (2010-16, 2018-2021)
This course develops awareness and practical skills related to the use of common data structures and algorithms. Topics covered include object-oriented design, data structures, databases, file storage, search and sorting algorithms.
ZEIT 2301: Solution Design (2011-16)
This course builds analytical and design skills within the information systems domain. Students learn to use different modelling tools to capture functional, structural and behavioural aspects of systems. Students participate in design studios and build a portfolio of designs as well as implementing a database enabled Android App.
School of Information Technologies and Electrical Engineering, UNSW@¶¶Òõ¶ÌÊÓƵ
ZITE 1001: Computer Tools for Engineers (2008-09)
This unit of study develops an awareness of the elements of a computing system and broadly how a computer works. It provides an introductory knowledge of useful computing packages; an introductory knowledge of the structured approach to problem solving using a computer; a working familiarity with the engineering language MATLAB, and the ability to employ it for problem solving.A puzzle-based learning methodology is employed in teaching.
ZITE 1302: Information Systems in Organisations (2008)
This unit of study extends introduction to information systems by looking at the role of information systems in organisations, information systems applications, security, ethical and management issues.
Research Methods Course and Optimisation Spring School (Part of the 2008 offerings)
Supporting material from the Research Methods course and 2008 Spring School on Optimisation, Learning and Complexity. These courses are for postgraduate students at UNSW@¶¶Òõ¶ÌÊÓƵ.
Key Centre of Design Computing and Cognition, University of Sydney
DESC 9180: Designing Virtual Worlds (2007)
The aim of this unit of study is to introduce the basic techniques for designing and building virtual worlds. The focus is on the connection between the human activities supported by the virtual world and the architecture for supporting interactive, functional, multi-user environments.