A/Prof Claudia Szabo
Associate Prof/Reader
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
My main research interests lie in the area of complex systems and their practical applications to domains such as biology, social networks, and Defence. I lead the Complex Systems program within the Centre for Distributed and Intelligent Technologies. My education research interests lie in the areas of curriculum design, cognitive load theories, and software engineering best practices.Interested in a PhD or master? Read more detailed descriptions of topics in my profile.
Autonomous decision making, in particular as it happens in complex adaptive sytems that operate in contested and dyanmic environments, is a very challenging problem. Three critical questions remain when thinking about applying complex systems theories to specific application domains:
- How can we engineer decision making in complex systems?
- How do we engineer and/or define and measure emergent properties in a complex systems of systems?
- How do we design systems that reap the benefits of self-organisation? Once these systems are designed and prototyped, how do we measure the impact and benefit of self-organisation? Beyond self-organisation, another interesting property is adaptability and the same questions above apply to it as well.
Interested in a PhD or Master in this topic? Please send me an email with your CV, transcripts, and a 2-page proposal. I cannot stress enough the need to send a proposal that is relevant to this field - I will not respond otherwise.
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Appointments
Date Position Institution name 2019 - ongoing Director, Digital Technologies Faculty of Engineering, Computer and Mathematical Sciences 2019 - ongoing Associate Professor The University of Adelaide 2017 - 2018 Senior Lecturer The University of Adelaide 2014 - 2019 Associate Dean (Diversity and Inclusion) The University of Adelaide 2013 - 2016 Lecturer The University of Adelaide 2011 - 2012 Associate Lecturer The University of Adelaide -
Education
Date Institution name Country Title 2011 National University of Singapore Singapore PhD 'Politehnica' Institute of Bucharest Romania Bachelor of Science (Computer Science) -
Research Interests
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Journals
Year Citation 2025 Ahmad, H., Treude, C., Wagner, M., & Szabo, C. (2025). Towards resource-efficient reactive and proactive auto-scaling for microservice architectures. Journal of Systems and Software, 225, 112390.
Scopus3 WoS32025 Standen, M., Kim, J., & Szabo, C. (2025). Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning. ACM Computing Surveys, 57(5), 35 pages.
Scopus3 WoS32025 Konduru, L., Dahia, S. S., Szabo, C., & Barreto, S. G. (2025). Evolving Dynamics of Colorectal Cancer in High Socio-Demographic Regions.. Cancer Control, 32, 1-13.
Scopus1 WoS1 Europe PMC12025 Namal Rajapakse, R., & Szabo, C. (2025). Towards Multi‐Class Socio‐Technical Congruence: Assessing Coordination in Collaborative Software Development Settings. Journal of Software: Evolution and Process, 37(9).
2025 Szabo, C., Baker, R., Pearce, G., Teffera, E., & Perry, A. (2025). Overview and Challenges of Distributed Decision Making in Resource Contested and Dynamic Environments. ACM Computing Surveys, 57(9), 1-34.
2024 Iqbal, A., Honhaga, I., Teffera, E., Perry, A., Baker, R., Pearce, G., & Szabo, C. (2024). Vulnerability and Defence: A Case for Stackelberg Game Dynamics. Games, 15(5), 32-1-32-13.
Scopus1 WoS12024 Uhrmacher, A. M., Frazier, P., Hähnle, R., Klügl, F., Lorig, F., Ludäscher, B., . . . Wilsdorf, P. (2024). Context, Composition, Automation, and Communication: The C<sup>2</sup>AC Roadmap for Modeling and Simulation. ACM Transactions on Modeling and Computer Simulation, 34(4), 1-51.
Scopus6 WoS62024 Honhaga, I., & Szabo, C. (2024). A simulation and experimentation architecture for resilient cooperative multiagent reinforcement learning models operating in contested and dynamic environments. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 100(6), 563-579.
Scopus3 WoS12023 Standen, M., Kim, J., & Szabo, C. (2023). SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent
Reinforcement Learning.2023 Ronca, S., Ford, C. S., Allanguillaume, J., Szabo, C., Kipling, R., & Wilkinson, M. J. (2023). Author Correction: The value of twinned pollinator-pollen metabarcoding: bumblebee pollination service is weakly partitioned within a UK grassland community.. Scientific reports, 13(1), 20702.
2023 Iqbal, A., Chappell, J. M., Szabo, C., & Abbott, D. (2023). Resolving game theoretical dilemmas with quantum states. Quantum Information Processing, 23(1), 5-1-5-25.
Scopus2 WoS22023 Dahia, S. S., & Szabo, C. (2023). Implementing Machine Learning to Predict the 10-Year Risk of Cardiovascular Disease.
2023 Ronca, S., Ford, C. S., Allanguillame, J., Szabo, C., Kipling, R., & Wilkinson, M. J. (2023). The value of twinned pollinator-pollen metabarcoding: bumblebee pollination service is weakly partitioned within a UK grassland community.. Sci Rep, 13(1), 18016.
Scopus1 WoS22023 Ko, A. J., Draper, S., Maguire, J., Pajunen, J., Tedre, M., Sinclair, J., & Szabo, C. (2023). A Dialog About the Special Issues on Theory. ACM TRANSACTIONS ON COMPUTING EDUCATION, 23(1), 5 pages.
2023 Szabo, C., & Sheard, J. (2023). Learning Theories Use and Relationships in Computing Education Research. ACM TRANSACTIONS ON COMPUTING EDUCATION, 23(1), 1-34.
Scopus15 WoS82022 Scott, J., Oxlad, M., Dodd, J., Szabo, C., Deussen, A., & Turnbull, D. (2022). Promoting health behaviour change in the preconception period: A combined approach to intervention planning. JMIR Formative Research, 6(4), 1-10.
Scopus3 WoS2 Europe PMC22021 Scott, J., Oxlad, M., Dodd, J., Szabo, C., Deussen, A., & Turnbull, D. (2021). Promoting Health Behavior Change in the Preconception Period: Combined Approach to Intervention Planning (Preprint).
2021 Szabo, C., Sims, B., McAtee, T., Lodge, R., & Hunjet, R. (2021). Self-Adaptive Software Systems in Contested and Resource-Constrained Environments: Overview and Challenges. IEEE Access, 9, 10711-10728.
Scopus13 WoS72020 Fraser, B., Coyle, A., Hunjet, R., & Szabo, C. (2020). An Analytic Latency Model for a Next-Hop Data-Ferrying Swarm on Random Geometric Graphs. IEEE Access, 8, 1-14.
Scopus4 WoS42020 Scott, J., Oxlad, M., Dodd, J., Szabo, C., Deussen, A., & Turnbull, D. (2020). Creating healthy change in the preconception period for women with overweight or obesity: a qualitative study using the information-motivation-behavioural skills model. J Clin Med, 9(10), 1-20.
Scopus17 WoS13 Europe PMC102020 Alvarez Cid-Fuentes, J., Szabo, C., & Falkner, K. (2020). Adaptive performance anomaly detection in distributed systems using online SVMs. IEEE Transactions on Dependable and Secure Computing, 17(5), 9281-941.
Scopus27 WoS192019 Bourne, S., Szabo, C., & Sheng, Q. Z. (2019). Transactional behavior verification in business process as a service configuration. IEEE Transactions on Services Computing, 12(2), 290-303.
Scopus4 WoS32018 Michell, D., Szabo, C., Falkner, K., & Szorenyi, A. (2018). Towards a Socio-Ecological Framework to address gender inequity in computer science. Computers and Education, 126, 324-333.
Scopus37 WoS312018 Álvarez Cid-Fuentes, J., Szabo, C., & Falkner, K. (2018). An adaptive framework for the detection of novel botnets. Computers and Security, 79, 148-161.
Scopus23 WoS182018 Falkner, K., Szabo, C., Chiprianov, V., Puddy, G., Rieckmann, M., Fraser, D., & Aston, C. (2018). Model-driven performance prediction of systems of systems. Software and Systems Modeling, 17(2), 415-441.
Scopus14 WoS112018 Zhang, Y., Szabo, C., Sheng, Q., & Fang, X. (2018). SNAF: Observation filtering and location inference for event monitoring on twitter. World Wide Web, 21(2), 311-343.
Scopus15 WoS122017 Wilkinson, M. J., Szabo, C., Ford, C. S., Yarom, Y., Croxford, A. E., Camp, A., & Gooding, P. (2017). Replacing Sanger with Next Generation Sequencing to improve coverage and quality of reference DNA barcodes for plants. Scientific Reports, 7(1), 11 pages.
Scopus48 WoS41 Europe PMC212017 Michell, D., Szorenyi, A., Falkner, K., & Szabo, C. (2017). Broadening participation not border protection: how universities can support women in computer science. Journal of Higher Education Policy and Management, 39(4), 406-422.
Scopus40 WoS312016 Zhang, Y., Szabo, C., & Sheng, Q. (2016). Reduce or remove: individual sensor reliability profiling and data cleaning. Intelligent Data Analysis, 20(5), 979-995.
Scopus4 WoS32015 Szabo, C., & Teo, Y. (2015). Formalization of weak emergence in multiagent systems. ACM Transactions on Modeling and Computer Simulation, 26(1), 6-1-6-25.
Scopus28 WoS182014 Sheng, Q., Qiao, X., Vasilakos, A., Szabo, C., Bourne, S., & Xu, X. (2014). Web services composition: a decade's overview. Information Sciences, 280, 218-238.
Scopus361 WoS2882014 Szabo, C., Sheng, Q., Kroeger, T., Zhang, Y., & Yu, J. (2014). Science in the cloud: Allocation and execution of data-intensive scientific workflows. Journal of Grid Computing, 12(2), 245-264.
Scopus71 WoS512014 Sheng, Q., Maamar, Z., Yao, L., Szabo, C., & Bourne, S. (2014). Behavior modeling and automated verification of Web services. Information Sciences, 258, 416-433.
Scopus25 WoS192012 Szabo, C., & Teo, Y. (2012). An analysis of the cost of validating semantic composability. Journal of Simulation, 6(3), 152-163.
Scopus10 WoS82011 Szabo, C., & Diallo, S. Y. (2011). Defining and Validating Semantic Machine to Machine Interoperability. Intelligent Systems Reference Library, 10, 49-74.
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Book Chapters
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Conference Papers
Year Citation 2025 Szabo, C. (2025). Complex Systems Modeling and Analysis. In 2024 Winter Simulation Conference (WSC) (pp. 1-14). Orlando, FL, USA: IEEE.
DOI2025 Szabo, C., Parker, M. C., Friend, M., Jeuring, J., Kohn, T., Malmi, L., & Sheard, J. (2025). Models of Mastery Learning for Computing Education. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1 Vol. 1 (pp. 1092-1098). Pittsburgh, Pennsylvania: ACM.
DOI Scopus2 WoS12025 Colby, M., & Szabo, C. (2025). Simulation Framework Architecture for Assessing Dynamic Distributed Network Task Coordination Implementations. In ACM Sigsim PADS 2025 Proceedings of the 39th ACM Sigsim International Conference on Principles of Advanced Discrete Simulation (pp. 127-131). ACM.
DOI2024 Rajapakse, R., & Szabo, C. (2024). Code Refactoring Strategies of Third Year Software Engineering Students. In Proceedings of the Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE 2024) Vol. 1 (pp. 562-568). New York, NY, USA: Association for Computing Machinery (ACM).
DOI2024 Ahmad, H., Treude, C., Wagner, M., & Szabo, C. (2024). Smart HPA: A Resource-Efficient Horizontal Pod Auto-Scaler for Microservice Architectures. In Proceedings - IEEE 21st International Conference on Software Architecture, ICSA 2024 (pp. 46-57). Online: IEEE.
DOI Scopus7 WoS42024 Szabo, C., Castro, R., Denil, J., & Sanchez, S. M. (2024). Resilience and Complexity in Socio-Cyber-Physical Systems. In Proceedings - Winter Simulation Conference (pp. 660-670). Online: IEEE.
DOI Scopus22024 McGill, M. M., Heckman, S., Liut, M., Sanusi, I. T., & Szabo, C. (2024). Unlocking Excellence in Educational Research: Guidelines for High-Quality Research that Promotes Learning for All. In SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education Vol. 2 (pp. 1871-1872). ACM.
DOI2024 Pretila, H., Campbell, B., & Szabo, C. (2024). Contested Communication in C2 Multi-agent Simulations. In Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (ACM SIGSIM , 2024) (pp. 25-29). Atlanta, Georgia, USA: ACM.
DOI2024 Dahia, S. S., & Szabo, C. (2024). Detecting Emergent Behavior in Complex Systems: A Machine Learning Approach. In Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (ACM SIGSIM, 2024) (pp. 81-87). Online: ACM.
DOI Scopus2 WoS22023 McGill, M. M., Heckman, S., Chytas, C., Liut, M., Kazakova, V., Sanusi, I. T., . . . Szabo, C. (2023). Conducting Sound, Equity-Enabling Computing Education Research. In ITiCSE-WGR 2023 - Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education (pp. 30-56). New York, NY, USA: ACM.
DOI Scopus6 WoS22023 Craggs, D., Lee, K. L., Radenovic, V., Campbell, B., & Szabo, C. (2023). Use Of Reinforcement Learning for Prioritizing Communications in Contested and Dynamic Environments. In Proceedings - Winter Simulation Conference Vol. 2022-December (pp. 2699-2711). Online: IEEE.
DOI2023 Tran, J., Fule, P., & Szabo, C. (2023). Effects of Information Sharing on Swarm Based Communication in Dynamic Environments. In Proceedings - Winter Simulation Conference Vol. 2022-December (pp. 461-472). Online: IEEE.
DOI Scopus12023 Pearce, G., Pflaum, A., Balasoiu, D. A., & Szabo, C. (2023). Jeopardy Assessment for Dynamic Configuration of Collaborative Microservice Architectures. In Proceedings - Winter Simulation Conference Vol. 2022-December (pp. 2070-2081). Online: IEEE.
DOI2023 Gopalan, R., Shovon, M. H. I., Campbell, B., Radenovic, V., McLeod, K., Campbell, L., . . . Szabo, C. (2023). Message Prioritization in Contested And Dynamic Tactical Networks Using Regression Methods and Mission Context. In Proceedings - Winter Simulation Conference Vol. 2022-December (pp. 2046-2057). Online: IEEE.
DOI2023 Szabo, C., Craggs, D., Balasoiu, D. A., Radenovic, V., & Campbell, B. (2023). Robustness of Middleware Communication in Contested and Dynamic Environments. In Proceedings - Winter Simulation Conference Vol. 2022-December (pp. 2058-2069). Online: IEEE.
DOI Scopus1 WoS12023 McGill, M. M., Heckman, S., Chytas, C., Diaz, L., Liut, M., Kazakova, V., . . . Szabo, C. (2023). Building Recommendations for Conducting Equity-Focused, High Quality K-12 Computer Science Education Research. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. 2 (pp. 565-566). Univ Turku, Turku, FINLAND: ACM.
DOI Scopus12022 Craggs, D., Radenovic, V., Lee, K. L., Campbell, B., & Szabo, C. (2022). Use Of Reinforcement Learning for Prioritizing Communications in Contested and Dynamic Environments. In https://ieeexplore.ieee.org/xpl/conhome/10015196/proceeding. Washington DC. 2022 Boyapati, S. R., & Szabo, C. (2022). Self-adaptation in Microservice Architectures: A Case Study. In Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS Vol. 2022-March (pp. 42-51). Online: IEEE.
DOI Scopus8 WoS62021 Graham, M., Falkner, K., Szabo, C., & Yarom, Y. (2021). Security Architecture Framework for Enterprises. In J. Filipe, M. Smialek, A. Brodsky, & S. Hammoudi (Eds.), Lecture Notes in Business Information Processing Vol. 417 (pp. 883-904). CZECH REPUBLIC, Prague: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI2020 Szabo, C. (2020). Perspectives of Final Year Students on Modeling and Analysis of Complex Systems and Their Properties. In IEEE Symposium on Artificial Life (ALIFE) (pp. 86-93). online: IEEE.
DOI Scopus1 WoS12020 Fraser, B., Szabo, C., Coyle, A., & Hunjet, R. (2020). Leveraging Emergent Specialization in a Heterogeneous Multi-Role Swarm Control Architecture for Positional-based UAS Missions. In IEEE Symposium on Artificial Life (ALIFE) (pp. 2584-2591). online: IEEE.
DOI Scopus1 WoS12020 McClintock, M., Falkner, K., Szabo, C., & Yarom, Y. (2020). Enterprise security architecture: Mythology or methodology?. In ICEIS 2020 - Proceedings of the 22nd International Conference on Enterprise Information Systems Vol. 2 (pp. 679-689). online: ICEIS.
DOI Scopus5 WoS32020 Szabo, C., Radenovic, V., Judd, G., Craggs, D., Lee, K. L., Chen, X., & Chan, K. (2020). Optimizing Communication Strategies in Contested and Dynamic Environments. In Proceedings of the 2020 25th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS Vol. 2020-October (pp. 197-205). online: IEEE.
DOI Scopus3 WoS32019 Szabo, C., Craggs, D., Johnson, W., Judd, G., & French, K. (2019). A simulation testbed for the analysis of desired emergent properties in systems running in dynamic and contested environments. In Proceedings - Winter Simulation Conference Vol. 2018-December (pp. 1049-1060). online: IEEE.
DOI Scopus2 WoS22019 McAtee, T., & Szabo, C. (2019). Complex Systems and Artificial Life: A Decade's Overview. In H. Fellermann, J. Bacardit, A. GoniMoreno, & R. Fuchslin (Eds.), ALIFE 2019: THE 2019 CONFERENCE ON ARTIFICIAL LIFE (pp. 263-270). online: MIT PRESS.
Scopus1 WoS12019 Szabo, C., Sheard, J., Luxton-Reilly, A., Simon., Becker, B. A., & Ott, L. (2019). Fifteen years of introductory programming in schools: A global overview of K-12 initiatives. In ACM International Conference Proceeding Series (pp. 1-9). online: ACM.
DOI Scopus26 WoS282019 Szabo, C., & Pyromallis, C. (2019). Modelling and Analysis of Adaptability and Emergent Behavior in a Cryptocurrency Market. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 284-292). online: IEEE.
DOI Scopus22019 Szabo, C., McAtee, T., Groot, J., & Pyromallis, C. (2019). Who Did This: Identifying Causes of Emergent Behavior in Complex Systems. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 262-270). online: IEEE.
DOI Scopus7 WoS42019 Pflaum, A., Szabo, C., & Coyle, A. (2019). Communication Collective: An Adaptive Multiagent Communication Platform. In Proceedings - Winter Simulation Conference Vol. 2019-December (pp. 690-701). online: IEEE.
DOI Scopus1 WoS12019 Szabo, C. (2019). Complex Systems Modeling and Analysis. In Proceedings of the Winter Simulation Conference Vol. 2019-December (pp. 1495-1503). online: IEEE.
DOI Scopus6 WoS42019 Szabo, C., & Pointon, M. S. (2019). Final year students’ approaches to implementing complex distributed systems. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (pp. 217-223). online: ACM.
DOI Scopus12019 Szabo, C., Falkner, N., Petersen, A., Bort, H., Connolly, C., Cunningham, K., . . . Sheard, J. (2019). A periodic table of computing education learning theories. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (pp. 269-270). online: ACM.
DOI Scopus31 WoS232019 Fraser, B., Coyle, A., Szabo, C., & Hunjet, R. (2019). Adaptive swarm control for mobile resource placement in wireless ad-hoc networks. In 20th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2019 (pp. 1-6). online: IEEE.
DOI Scopus5 WoS32019 Judd, G. B., Szabo, C. M., Chan, K. S., Radenovic, V., Boyd, P., Marcus, K., & Ward, D. (2019). Representing and reasoning over military context information in complex multi domain battlespaces using artificial intelligence and machine learning. In Proceedings of SPIE - The International Society for Optical Engineering Vol. 11006 (pp. 1-16). online: SPIE.
DOI Scopus3 WoS22019 Le, K., Tarmazdi, H., Vivian, R., Falkner, K., Szabo, C., & Falkner, N. (2019). Directing Teacher Focus in Computer Science Online Learning Environments. In Proceedings of Latice 2017 (pp. 119-125). Hong Kong: IEEE.
DOI Scopus2 WoS22018 Fraser, B., Hunjet, R., & Szabo, C. (2018). Simulating the effect of degraded wireless communications on emergent behavior. In V. Chan, A. DAmbrogio, G. Zacharewicz, & N. Mustafee (Eds.), Proceedings - Winter Simulation Conference (pp. 4081-4092). Las Vegas, NV: IEEE.
DOI Scopus16 WoS72018 Szabo, C., Falkner, N., Knutas, A., & Dorodchi, M. (2018). Understanding the effects of lecturer intervention on computer science student behaviour. In ITiCSE-WGR 2017 - Proceedings of the 2017 ITiCSE Conference on Working Group Reports Vol. 2018-January (pp. 105-124). Bologna, ITALY: ASSOC COMPUTING MACHINERY.
DOI Scopus18 WoS112018 Szabo, C., Barnes, J., & Munguia, P. (2018). Multi-objective Strategies for Exploring Form and Function in Crustaceans. In T. Ikegami, N. Virgo, O. Witkowski, M. Oka, R. Suzuki, & H. Iizuka (Eds.), 2018 CONFERENCE ON ARTIFICIAL LIFE (ALIFE 2018) (pp. 311-318). online: MIT PRESS. 2018 Luxton-Reilly, A., Simon., Albluwi, I., Becker, B. A., Giannakos, M., Kumar, A. N., . . . Szabo, C. (2018). Introductory programming: A systematic literature review. In G. Rossling, & B. Scharlau (Eds.), Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (pp. 55-106). online: ASSOC COMPUTING MACHINERY.
DOI Scopus382 WoS2882017 Birdsey, L., Szabo, C., & Falkner, K. (2017). Casl: A declarative domain specific language for modeling complex adaptive systems. In Proceedings - Winter Simulation Conference Vol. 0 (pp. 1241-1252). Arlington, VA: IEEE.
DOI Scopus13 WoS92017 Birdsey, L., Szabo, C., & Falkner, K. (2017). Large-scale complex adaptive systems using multi-agent modeling and simulation. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS Vol. 3 (pp. 1478-1480). online: IFAAMS.
Scopus5 WoS32017 Birdsey, L., Szabo, C., & Falkner, K. (2017). Identifying Self-Organization and Adaptability in Complex Adaptive Systems. In Proceedings - 11th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2017 (pp. 131-140). Univ Arizona, Tucson, AZ: IEEE.
DOI Scopus15 WoS132017 Falkner, N., Szabo, C., & Knutas, A. (2017). Classifying the nature of lecturer intervention on computer science student behaviour. In ACM International Conference Proceeding Series (pp. 128-132). Koli, FINLAND: ASSOC COMPUTING MACHINERY.
DOI Scopus12017 Falkner, N., Szabo, C., & Falkner, K. (2017). Formal forum triage: Towards the strategic selection of responses to student discussion forums. In L@S 2017 - Proceedings of the 4th (2017) ACM Conference on Learning at Scale (pp. 173-176). online: ACM.
DOI2017 Zhang, Y., Szabo, C., Sheng, Q., Zhang, W., & Qin, Y. (2017). Identifying domains and concepts in short texts via partial taxonomy and unlabeled data. In E. Dubois, & K. Pohl (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10253 LNCS (pp. 127-143). Essen, GERMANY: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI Scopus3 WoS42017 Haidry, S., Falkner, K., & Szabo, C. (2017). Identifying Domain-Specific Cognitive Strategies for Software Engineering. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. Part F128680 (pp. 206-211). online: ACM.
DOI Scopus3 WoS22017 Szabo, C., & Falkner, N. (2017). Silence, Words, or Grades: The Effects of Lecturer Feedback in Multi-Revision Assignments. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. Part F128680 (pp. 293-298). online: ACM.
DOI Scopus8 WoS82017 La Vista, D., Falkner, N., & Szabo, C. (2017). Understanding the effects of intervention on computer science student behaviour in on-line forums. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE Vol. Part F128680 (pp. 200-205). online: ACM.
DOI Scopus6 WoS62017 Szabo, C., Falkner, N., Dorodchi, M., Knutas, A., & Maiorana, F. (2017). Understanding the Effects of Lecturer Intervention on Computer Science Student Behaviour. In ITICSE'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION (pp. 391). New York, NY, United States: ASSOC COMPUTING MACHINERY.
DOI WoS22016 Birdsey, L., Szabo, C., & Teo, Y. (2016). Twitter knows: understanding the emergence of topics in social networks. In L. Yilmaz, W. Chan, I. Moon, T. Roeder, C. Macal, & M. Rosetti (Eds.), Proceedings of the 2015 Winter Simulation Conference Vol. 2016-February (pp. 4009-4020). Huntington Beach, CA: IEEE.
DOI Scopus12 WoS102016 Zhang, Y., Szabo, C., & Sheng, Q. (2016). An estimation maximization based approach for finding reliable sensors in environmental sensing. In Proceedings of the International Conference on Parallel and Distributed Systems Vol. 2016-January (pp. 190-197). Melbourne, Vic.: IEEE.
DOI Scopus4 WoS52016 Falkner, K., Falkner, N., Szabo, C., & Vivian, R. (2016). Applying validated pedagogy to MOOCs: an introductory programming course with media computation. In Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education Vol. 11-13-July-2016 (pp. 326-331). Arequipa, Peru: ACM New York.
DOI Scopus72016 Zhang, Y., Szabo, C., & Sheng, Q. (2016). Improving object and event monitoring on twitter through lexical analysis and user profiling. In W. Cellary, M. Mokbel, J. Wang, H. Wang, R. Zhou, & Y. Zhang (Eds.), Proceedings of the 17th International Conference on Web Information Systems Engineering Vol. Part II (pp. 19-34). Shanghai, China: Springer.
DOI Scopus8 WoS42016 Chang, C., Zhang, Y., Szabo, C., & Sheng, Q. (2016). Extreme user and political rumor detection on Twitter. In J. Li, X. Li, S. Wang, J. Li, & Q. Sheng (Eds.), Proceedings International Conference on Advanced Data Mining and Applications Vol. 10086 LNAI (pp. 751-763). Gold Coast, Qld.: Springer.
DOI Scopus382016 Falkner, K. E., Szabo, C., & Chiprianov, V. (2016). Model-driven performance predication of systems of systems. In Proceedings of Models 2016 (pp. 44). Saint-Malo, France: ACM Digital Library.
DOI WoS52015 Ihantola, P., Vihavainen, A., Ahadi, A., Butler, M., Börstler, J., Edwards, S., . . . Toll, D. (2015). Educational data mining and learning analytics in programming: literature review and case studies. In Proceedings of the 2015 ITiCSE Conference on Working Group Reports (pp. 41-63). Vilnius, Lithuania: ACM.
DOI Scopus270 WoS1982015 Tarmazdi, H., Vivian, R., Szabo, C., Falkner, K., & Falkner, N. (2015). Using learning analytics to visualise computer science teamwork. In V. Dagiene, C. Schulte, & T. Jevsikova (Eds.), Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education Vol. 2015-June (pp. 165-170). Vilnius, Lithuania: ACM.
DOI Scopus37 WoS282015 Vivian, R., Tarmazdi, H., Falkner, K., Falkner, N., & Szabo, C. (2015). The development of a dashboard tool for visualising online teamwork discussions. In Proceedings of the 37th International Conference on Software Engineering Vol. 2 (pp. 380-388). Florence, Italy: IEEE.
DOI Scopus27 WoS182015 Falkner, K., Szabo, C., Vivian, R., & Falkner, N. (2015). Evolution of software development strategies. In Proceedings of the 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering Vol. 2 (pp. 243-252). online: IEEE.
DOI Scopus27 WoS202015 Falkner, K., Szabo, C., Michell, D., Szorenyi, A., & Thyer, S. (2015). Gender gap in academia: perceptions of female computer science academics. In Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education Vol. 2015-June (pp. 111-116). Vilnius, Lithuania: ACM.
DOI Scopus48 WoS302015 Szabo, C., Teo, Y., & Chengleput, G. (2015). Understanding complex systems: using interaction as a measure of emergence. In A. Tolk, S. Diallo, I. Ryzhov, L. Yilmaz, S. Buckley, & J. Miller (Eds.), Proceedings of the Winter Simulation Conference Vol. 2015-January (pp. 207-218). online: IEEE.
DOI Scopus19 WoS172015 Álvarez Cid-Fuentes, J., Szabo, C., & Falkner, K. (2015). Online behavior identification in distributed systems. In Proceedings of the 34th Symposium on Reliable Distributed Systems Vol. 2016-January (pp. 202-211). Montreal, Canada: IEEE.
DOI Scopus5 WoS52015 Zhang, Y., Szabo, C., & Sheng, Q. (2015). Sense and focus: towards effective location inference and event detection on Twitter. In Proceedings of the 16th International Conference Web Information Systems Engineering Vol. Part I (pp. 463-477). Miami, FL: Springer.
DOI Scopus142015 Zhang, Y., Szabo, C., Sheng, Q., & Fang, X. (2015). Classifying perspectives on Twitter: immediate observation, affection, and speculation. In J. Wang, W. Cellary, D. Wang, H. Wang, S. Chen, T. Li, & Y. Zhang (Eds.), Proceedings of the 16th International Conference on Web Information Systems Engineering (Part I) Vol. 9418 (pp. 493-507). Miami, FL: Springer.
DOI Scopus72015 Bourne, S., Szabo, C., & Sheng, Q. (2015). TL-VIEWS: a tool for temporal logic verification of transactional behavior of web service compositions. In F. Toumani, B. Pernici, D. Grigori, D. Benslimane, J. Mendling, N. HadjAlouane, . . . S. Bhiri (Eds.), Proceedings of the 12th International Conference on Service-Oriented Computing Vol. 8954 (pp. 418-422). Paris, France: Springer.
DOI Scopus3 WoS22015 Bourne, S., Szabo, C., & Sheng, Q. (2015). Managing configurable business process as a service to satisfy client transactional requirements. In P. Maglio, I. Paik, & W. Chou (Eds.), Proceedings of the IEEE International Conference on Services Computing (pp. 154-161). New York City, NY: IEEE.
DOI Scopus4 WoS22015 Szabo, C. (2015). Novice code understanding strategies during a software maintenance assignment. In Proceedings of the 37th International Conference on Software Engineering Vol. 2 (pp. 276-284). Florence, Italy: IEEE.
DOI Scopus4 WoS12014 Szabo, C. (2014). Evaluating GameDevTycoon for teaching software engineering. In Proceedings of the 45th ACM Technical Symposium on Computer Science Education (pp. 403-408). Atlanta, Georgia: ACM.
DOI Scopus7 WoS42014 Szabo, C., & Falkner, K. (2014). Neo-Piagetian theory as a guide to curriculum analysis. In Proceedings of the 45th ACM Technical Symposium on Computer Science Education (pp. 115-120). Atlanta, GA: ACM.
DOI Scopus10 WoS82014 Szabo, C. (2014). Student projects are not throwaways: teaching practical software maintenance in a software engineering course. In Proceedings of the 45th ACM Technical Symposium on Computer Science Education (pp. 55-60). Atlanta, Georgia: ACM.
DOI Scopus20 WoS162014 Chiprianov, V., Falkner, K., Szabo, C., & Puddy, G. (2014). Architectural support for model-driven performance prediction of distributed real-time embedded systems of systems. In P. Avgeriou, & U. Zdun (Eds.), Software architecture: 8th European Conference, ECSA 2014 Vienna, Austria, August 25-29, 2014: proceedings Vol. 8627 LNCS (pp. 357-364). Vienna, Austria: Springer International Publishing.
DOI Scopus7 WoS22014 Rieckmann, M., Fraser, D., Chiprianov, V., Szabo, C., & Falkner, K. (2014). Demonstration of model-driven performance prediction of distributed real-time embedded systems of systems. In Proceedings of the 2014 European Conference on Software Architecture Workshops (pp. 34-1-34-4). Vienna, Austria: Association for Computing Machinery.
DOI Scopus12014 Birdsey, L., & Szabo, C. (2014). An architecture for identifying emergent behavior in multi-agent systems. In A. Lomuscio, P. Scerri, A. Bazzan, & M. Huhns (Eds.), Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems Vol. 2 (pp. 1455-1456). Paris, France: IFAAMAS.
Scopus20 WoS132014 Zhang, Y., Szabo, C., & Sheng, Q. (2014). Cleaning environmental sensing data streams based on individual sensor reliability. In B. Benatallah, A. Bestavros, Y. Manolopoulos, A. Vakali, & Y. Zhang (Eds.), Proceedings of the 15th International Conference on Web Information Systems Engineering, Part II Vol. 8787 (pp. 405-414). Thessaloniki, Greece: Springer.
DOI Scopus19 WoS82014 Vivian, R., Falkner, K., & Szabo, C. (2014). Can everybody learn to code?: computer science community perceptions about learning the fundamentals of programming. In Proceedings of the 14th Koli Calling International Conference on Computing Education Research Vol. 2014-November (pp. 41-50). online: ACM.
DOI Scopus82014 Szabo, C., Falkner, K., & Falkner, N. (2014). Experiences in course design using neo-piagetian theory. In Proceedings of the 14th Koli Calling International Conference on Computing Education Research Vol. 2014-November (pp. 81-90). online: ACM.
DOI Scopus22013 Teo, Y., Luong, B., & Szabo, C. (2013). Formalization of emergence in multi-agent systems. In Proceedings of the 2013 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2013 (pp. 231-240). online: ACM.
DOI Scopus232013 Szabo, C., & Teo, Y. (2013). Post-mortem analysis of emergent behavior in complex simulation models. In Proceedings of 2013 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2013 (pp. 241-251). online: ACM.
DOI Scopus162013 Falkner, K., Chiprianov, V., Falkner, N., Szabo, C., & Puddy, G. (2013). Modeling scenarios for the performance prediction of distributed real-time embedded systems. In 2013 Military Communications and Information Systems Conference (MilCIS) (pp. 1-6). United States: IEEE.
DOI Scopus52013 Bourne, S., Szabo, C., & Sheng, Q. (2013). Verifying transactional requirements of web service compositions using temporal logic templates. In Proceedings of Web Information Systems Engineering, WISE 2013 Vol. 8180 LNCS (pp. 243-256). Germany: Springer.
DOI Scopus7 WoS52013 Szabo, C., & Chen, Y. (2013). A model-driven approach for ensuring change traceability and multi-model consistency. In Proceedings of the 2013 IEEE 22nd Australasian Conference on Software Engineering, ASWEC 2013 (pp. 127-136). USA: IEEE.
DOI Scopus5 WoS42013 Falkner, K., Chiprianov, V., Falkner, N., Szabo, C., Hill, J., Puddy, G., . . . Wallis, A. (2013). Model-driven performance prediction of distributed real-time embedded defence systems. In Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS (pp. 155-158). USA: IEEE.
DOI Scopus9 WoS32013 Tolk, A., Heath, B., Ihrig, M., Padilla, J., Page, E., Suarez, E., . . . Yilmaz, L. (2013). Epistemology of modeling and simulation. In Proceedings of the 2013 Winter Simulation Conference, WSC 2013 (pp. 1152-1166). online: IEEE.
DOI Scopus19 WoS132012 Szabo, C., & Teo, Y. (2012). An integrated approach for the validation of emergence in component-based simulation models. In Proceedings of the IEEE 2012 Winter Simulation Conference, WSC 2012 (pp. 1-12). USA: IEEE.
DOI Scopus17 WoS92012 Szabo, C., & Teo, Y. (2012). An objective-based approach for semantic validation of emergence in component-based simulation models. In Proceedings of the 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation, PADS 2012 (pp. 155-162). USA: IEEE.
DOI Scopus6 WoS12012 Bourne, S., Szabo, C., & Sheng, Q. (2012). Ensuring well-formed conversations between control and operational behaviors of web services. In Proceedings of the10th International Conference on Service-Oriented Computing, ICSOC 2012 Vol. 7636 LNCS (pp. 507-515). Germany: Springer-Verlag.
DOI Scopus82012 Szabo, C., & Kroeger, T. (2012). Evolving multi-objective strategies for task allocation of scientific workflows on public clouds. In Proceedings of the 2012 IEEE Congress on Evolutionary Computation, CEC 2012 (pp. 1-8). USA: IEEE.
DOI Scopus37 WoS52011 Szabo, C., & Teo, Y. (2011). An approach to semantic-based model discovery and selection. In Proceedings of the 2011 Winter Simulation Conference (pp. 3059-3071). USA: IEEE.
DOI Scopus5 WoS32011 Szabo, C., & Teo, Y. M. (2011). An analysis of the cost of validating semantic composability. In Proceedings Workshop on Principles of Advanced and Distributed Simulation PADS (pp. 8 pages). FRANCE, Nice: IEEE.
DOI2010 Szabo, C., & Teo, Y. M. (2010). On validation of semantic composability in data-driven simulation. In Proceedings Workshop on Principles of Advanced and Distributed Simulation PADS (pp. 73-80). IEEE.
DOI Scopus62009 Szabo, C., Teo, Y. M., & See, S. (2009). A time-based formalism for the validation of semantic composability. In Proceedings Winter Simulation Conference (pp. 1411-1422). IEEE.
DOI Scopus172009 Szabo, C., & Teo, Y. M. (2009). An approach for validation of semantic composability in simulation models. In Proceedings Workshop on Principles of Advanced and Distributed Simulation PADS (pp. 3-10). NY, Lake Placid: IEEE COMPUTER SOC.
DOI Scopus26 WoS142009 Szabo, C., Teo, Y. M., & See, S. (2009). A TIME-BASED FORMALISM FOR THE VALIDATION OF SEMANTIC COMPOSABILITY. In PROCEEDINGS OF THE 2009 WINTER SIMULATION CONFERENCE (WSC 2009 ), VOL 1-4 (pp. 1391-+). TX, Austin: IEEE.
WoS62008 Teo, Y. M., & Szabo, C. (2008). CODES: An integrated approach to composable modeling and simulation. In Proceedings Simulation Symposium (pp. 103-110). CANADA, Ottawa: IEEE COMPUTER SOC.
DOI Scopus43 WoS252007 Szabo, C., & Teo, Y. M. (2007). On Syntactic Composability and Model Reuse. In D. ALDabass, R. Zobel, A. Abraham, & S. Turner (Eds.), Proceedings 1st Asia International Conference on Modelling and Simulation Asia Modelling Symposium 2007 Ams 2007 (pp. 230-237). THAILAND, Prince Songkia Univ, Phuket: IEEE COMPUTER SOC.
DOI Scopus26 WoS14 -
Conference Items
Year Citation 2021 Scott, J., Oxlad, M., Dodd, J., Szabo, C., Deussen, A., & Turnbull, D. (2021). Intervention mapping of the "Begin Better" program for preconception weight management. Poster session presented at the meeting of INTERNATIONAL JOURNAL OF BEHAVIORAL MEDICINE. SPRINGER. 2018 Luxton-Reilly, A., Becker, B. A., Ott, L., Simon., Giannakos, M., Paterson, J., . . . Szabo, C. (2018). A review of introductory programming research 2003–2017. Poster session presented at the meeting of Annual Conference on Innovation and Technology in Computer Science Education Iticse. Larnaca, CYPRUS: ASSOC COMPUTING MACHINERY.
DOI Scopus14 WoS122017 Vivian, R., Falkner, K., & Szabo, C. (2017). Broadening participation in computer science: key strategies from international findings. Poster session presented at the meeting of SIGCSE '17 Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education. New York, NY, USA: ACM.
DOI Scopus2 WoS1 -
Preprint
Year Citation 2025 Ahmad, H., Treude, C., Wagner, M., & Szabo, C. (2025). Resilient Auto-Scaling of Microservice Architectures with Efficient
Resource Management.2024 Ahmad, H., Treude, C., Wagner, M., & Szabo, C. (2024). Smart HPA: A Resource-Efficient Horizontal Pod Auto-scaler for
Microservice Architectures.2024 Chopra, S., Ahmad, H., Goel, D., & Szabo, C. (2024). ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large
Language Models.
I am passionate about developing AI driven decision making research and development capability within industry. Extensive collaborations with my group's industry partners have resulted in focused research programs advancing research in state-of-the-art decision making techniques, the modeling and simulation of complex adaptive systems, and their application to various domains. In total, since 2019, I have helped secure over $26M in grants and research funding, of which $16M as CI. Below is a high level overview of some.
2025 - 2027, Developing Aggregated Simulated Combat Actions, C. Szabo, DST Group, $1,679,506
2025 - 2026, Hadrian Wall: Robust Mission Planning, C. Szabo, B. Hill, Trailblazer, $2,907,000
2025 - 2026, Multi-agent reinforcement learning for Contested and Dynamic Environments, C. Szabo, DST Group, $230,000
2024 - 2025, Evaluation of Decision Techniques for Context Aware Collaborative Active Protection Systems, C. Szabo, I. Honhaga, A Iqbal, DST Group $282,508
2024 - 2024, Defence Innovation Partnership - Collaborative Research Grant: Warm Starts and Goal-based Heuristics to Improve MARL Performance in Advanced Distributed Defence, C. Szabo, M. Guo, F. Neumann, E. Galanhage, J. Cuo, Defence Innovation Partnership, $150,000
2024 - 2024, Research Project: Optimized Hybrid MARL Techniques for Complex, Dynamic Environments, C. Szabo, M. Guo, DST Group, $175,533
2023 - 2024, Evaluation of Decision Techniques for Context Aware Collaborative Active Protection Systems - Competitive Environments, C. Szabo, I Honhaga, DST Group, $280,000
2023 - 2024, Evaluation of Decision Techniques for Context Aware Collaborative Active Protection Systems, C. Szabo, C. Szabo, I Honhaga, DST Group, $142,500
2023 - 2024, SMARTNet Research and Development, C. Szabo, D. Craggs, D. Balasoiu, DST Group, $393,180
2022 - 2022, Approaches to Partial Knowledge Sharing for Cooperative Decision-Making in Complex Adaptive Systems, C. Szabo, DST Group, $64,340
2021 - WSC Foundation, for the sponsorship of Simulation Around the World, US$150,000 (managed by the WSC Board)
2021 - 2023 - SMARTNet Version 5 Research and Development, C. Szabo, D. Craggs, D. Balasoiu, DST Group, $255,059
2022 - CADR-RAS - Technical Services, M. Webb, C. Szabo, C-C. Lim, DST Group, $10,674,512
2022 - 2023, Distributed Orchestration and Decision Making, C. Szabo, DST Group, $116,497
2020 - 2022, SMARTNet Version 4 Research & Development: Mission Context Aspects, C. Szabo, D. Craggs, D. Balasoiu, DST Group, $161,598
2020 - 2021, Distributed micro-service orchestration in resource constrained environments, C. Szabo, DST Group, $67,322
2019 - 2019, SMARTNet Version 4 Research & Development: Operational Mission Context Aspects, C. Szabo, D. Craggs, D. Balasoiu, DST Group, $174,667
2018 - 2020, SMARTNet Research & Development: Operational Mission Aspect, C. Szabo, D. Craggs, D. Balasoiu, DST Group, $276,000
2018 - 2018 - Measuring value in self-managing adaptive systems for military land vehicles, C. Szabo,DST Group, $18,607
2017 - 2019 - SEM Environment: Deployment Platform and Instrumentation Research, K. Falkner, C. Szabo, D. Raymond, $569,914
2017 - 2017 - SEM Environment: Deployment Platform and Instrumentation Research, K. Falkner, C. Szabo, D. Fraser, $150,000
2016 - 2020 - Expanded Rollout and Support of University of Adelaide Digital Technology MOOCs – Closing the Digital Divide for Disadvantaged Students, K. Falkner, R. Vivian, N. Falkner, C. Szabo, ($7,200,000)
2017 – 2020 Women Leaders in STEM Careers, C. Szabo, L. O’Reilly, Department of Industry, Innovation, and Science, ($231,726)
2017 - 2018 Resilient and Contextually Integrated ISR Information Dissemination, C. Szabo, DST Group ($96,718)
2017 Understanding Australia’s Teaching Culture with Respect to Gender Diversity, C. Szabo, K. Falkner, A. Szorenyi, D. Michell, Google ($26,764)
2016-2019 SEM Environment: Deployment Platform and Instrumentation Research, K. Falkner, C. Szabo, D. Fraser et al. , DST Group ($642,000)
2016-2017 SEM Environment: Deployment Platform and Instrumentation Research, K. Falkner, C. Szabo, D. Fraser et al. , DST Group ($150,000)
2017 – 2020 Expanded Rollout and Support of University of Adelaide Digital Technology MOOCs – Closing the Digital Divide for Disadvantaged Students - K. Falkner, R. Vivian, N. Falkner, C. Szabo, Department of Education, Science and Training ($7,206,000)
My innovative approaches, drive, and passion have been recognized at a faculty, university, national and international level throughout my career and recently through the:
- 2024 AAUT Teaching Excellence Award
- 2025 Appointment on the ACS Accreditation Committee
- 2021 Faculty of Engineering Computer and Mathematical Sciences Learning and Teaching Award
- 2018 University of Adelaide Stephen Cole the Elder Award
- 2017 SA Science Excellence Awards STEM Educator of the Year
I have also been recognised by the University in being supported to apply for the 2025 Australian Awards for University Teaching – Australian Teacher of the Year Award. My focus on learning and teaching quality has led to my inclusion on Australian Computing Society review panels and being invited to participate in Program Reviews at other Australian Universities.
I implement my drive for learning and teaching excellence through my industry-focused program and stream design with excellent student outcomes. My leadership as Associate Head for Learning and Teaching for the School of Computer and Mathematical Sciences allows me to develop a culture of excellent student experience which is possible through a learning and teaching culture focused on excellence, nurture, and support.
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2025 Principal Supervisor Quantum reinforcement learning Doctor of Philosophy Doctorate Full Time Mr Simranjeet Singh Dahia 2025 Co-Supervisor Defence Trailblazer project - Modelling malicious drone swarm behaviours Doctor of Philosophy Doctorate Full Time Mr Grant Cameron Douglas 2024 Principal Supervisor Large Language Models for Adaptive Microservice Composition and Orchestration Master of Philosophy Master Full Time Mr Jeffrey Chan 2024 Co-Supervisor Foundation models for goal-oriented reinforcement learning and intrinsic exploration Master of Philosophy Master Full Time Mr Dustin Wyly Craggs 2024 Principal Supervisor Leveraging Machine Learning Agents for Military Application Doctor of Philosophy Doctorate Full Time Mr Josh Dylan Francis 2023 Principal Supervisor Warm-Starting Reinforcement Learning in Complex Environments Doctor of Philosophy Doctorate Part Time Miss Lauren Yvette Taylor 2022 Principal Supervisor A framework of risk analysis in contested and dynamic environments Doctor of Philosophy Doctorate Part Time Mr Eyoel Worku Teffera 2021 Principal Supervisor Developing a robust distributed multi-agent system for cyber defence Doctor of Philosophy Doctorate Part Time Mr Maxwell James Standen 2017 Principal Supervisor Adaptive Agent Behaviours and Communications in Contested Environments Doctor of Philosophy Doctorate Part Time Mr Alexis Conan Pflaum -
Past Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2022 - 2025 Principal Supervisor Towards AI-Driven, Self-Adaptive, and Cyber-Resilient Software Engineering Doctor of Philosophy Doctorate Full Time Hussain Ahmad 2022 - 2024 Principal Supervisor Socio-Technical Frameworks for Secure Software Delivery in the DevOps Paradigm Doctor of Philosophy Doctorate Full Time Mr Roshan Namal Rajapakse 2022 - 2024 Co-Supervisor Towards Supporting Developers for Securing Containerized Software Doctor of Philosophy Doctorate Full Time Mr Mubin Ul Haque 2019 - 2022 Co-Supervisor Promoting Lifestyle Change in the Preconception Period: Development of the Begin Better eHealth Intervention Doctor of Philosophy Doctorate Full Time Mrs Jodie Michelle Scott 2016 - 2022 Principal Supervisor Swarm Control for Mass UAS Deployments in Disconnected Environments Doctor of Philosophy Doctorate Part Time Mr Bradley Robert Fraser 2015 - 2019 Co-Supervisor Detecting Students At-Risk Using Learning Analytics Doctor of Philosophy Doctorate Full Time Mr Ayman Saleh S Albassam 2015 - 2021 Co-Supervisor Enterprise Security Architecture - Mythology or Methodology? Doctor of Philosophy Doctorate Part Time Ms Michelle Rey Graham 2014 - 2017 Principal Supervisor Adaptive Anomalous Behavior Identification in Large-Scale Distributed Systems Doctor of Philosophy Doctorate Full Time Javier Alvarez 2013 - 2016 Co-Supervisor Source Profiling for Smart City Sensing Doctor of Philosophy Doctorate Full Time Mr Yihong Zhang 2012 - 2018 Co-Supervisor Semantic Component Selection Based on Non-Functional Requirements Master of Science in Mathematical and Computer Sciences Master Part Time Mr Amir Kanan Kashefi 2012 - 2016 Co-Supervisor Formal Verification of Transactional and Configurable Service-Oriented Processes Doctor of Philosophy Doctorate Full Time Mr Scott Stanier Bourne 2011 - 2022 Co-Supervisor Deployment Optimisation Insights for Evolving Software Systems within a Constrained Computing Environment Doctor of Philosophy Doctorate Part Time Mr Gavin Stanley Puddy
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