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.
Two critical questions remain when thinking about applying complex systems theories to specific application domains:
- How can we engineer specific 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.
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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 2024 Honhaga, I., & Szabo, C. (2024). A simulation and experimentation architecture for resilient cooperative multiagent reinforcement learning models operating in contested and dynamic environments. Simulation, 17 pages.
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. Scientific Reports, 13(1), 13 pages.
2023 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 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.
Scopus52022 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.
Scopus1 Europe PMC12021 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.
Scopus7 WoS42020 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.
Scopus3 WoS32020 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.
Scopus12 WoS8 Europe PMC62020 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.
Scopus18 WoS112019 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 WoS22018 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.
Scopus25 WoS202018 Álvarez Cid-Fuentes, J., Szabo, C., & Falkner, K. (2018). An adaptive framework for the detection of novel botnets. Computers and Security, 79, 148-161.
Scopus20 WoS122018 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 WoS92018 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.
Scopus13 WoS112017 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.
Scopus40 WoS32 Europe PMC152017 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.
Scopus26 WoS182016 Zhang, Y., Szabo, C., & Sheng, Q. (2016). Reduce or remove: individual sensor reliability profiling and data cleaning. Intelligent Data Analysis, 20(5), 979-995.
Scopus3 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.
Scopus26 WoS142014 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.
Scopus345 WoS2702014 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.
Scopus66 WoS452014 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 WoS182012 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.
Scopus2- Dahia, S. S., & Szabo, C. (n.d.). Implementing Machine Learning to predict the 10-year risk of Cardiovascular Disease. Qeios.
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Book Chapters
Year Citation 2018 Szabo, C., & Birdsey, L. (2018). Toward the automated detection of emergent behavior. In S. Mittal, S. Diallo, & A. Tolk (Eds.), Emergent Behavior in Complex Systems Engineering: A Modeling and Simulation Approach (pp. 229-261). Hoboken, NJ; USA: John Wiley & Sons.
Scopus22014 Falkner, K., Chiprianov, V., Falkner, N., Szabo, C., & Puddy, G. (2014). A model-driven engineering method for DRE defence systems performance analysis and prediction. In A. Bagnato, L. Indrusiak, I. Quadri, & M. Rossi (Eds.), Handbook of research on embedded systems design (1 ed., pp. 301-326). United States: IGI Global.
Scopus32013 Szabo, C., & Teo, Y. (2013). Semantic validation of emergent properties in component-based simulation models. In A. Tolk (Ed.), Ontology, Epistemology, and Teleology for Modeling and Simulation: Philosophical Foundations for Intelligent M&S Applications (Vol. 44, 1 ed., pp. 319-333). Germany: Springer.
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Conference Papers
Year Citation 2024 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.
2023 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.
Scopus22023 Szabo, C., Castro, R., Denil, J., & Sanchez, S. M. (2023). Resilience and Complexity in Socio-Cyber-Physical Systems. In Proceedings - Winter Simulation Conference (pp. 660-670). IEEE.
2023 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.
2023 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.
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.
2023 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.
2023 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.
Scopus12023 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.
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.
Scopus5 WoS32021 Graham, M., Falkner, K., Szabo, C., & Yarom, Y. (2021). Security Architecture Framework for Enterprises. In Lecture Notes in Business Information Processing Vol. 417 (pp. 883-904). Springer International Publishing.
2020 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.
2020 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.
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.
Scopus2 WoS12020 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.
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.
Scopus1 WoS12019 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.
Scopus18 WoS112019 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.
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.
Scopus32019 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.
2019 Szabo, C. (2019). Complex Systems Modeling and Analysis. In Proceedings of the Winter Simulation Conference Vol. 2019-December (pp. 1495-1503). online: IEEE.
Scopus3 WoS22019 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.
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.
Scopus19 WoS132019 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.
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.
Scopus32019 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.
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.
Scopus12 WoS52018 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.
Scopus17 WoS62018 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.
Scopus288 WoS1472017 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.
Scopus10 WoS52017 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.
Scopus11 WoS72017 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.
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.
2017 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.
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.
Scopus2 WoS12017 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.
Scopus5 WoS32017 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.
Scopus5 WoS52017 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.
2016 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.
Scopus10 WoS92016 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.
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.
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.
Scopus7 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.
Scopus342016 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.
WoS32015 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.
Scopus236 WoS1372015 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.
Scopus31 WoS212015 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.
Scopus22 WoS152015 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.
Scopus23 WoS122015 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.
Scopus38 WoS202015 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.
Scopus18 WoS122015 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.
Scopus4 WoS42015 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.
Scopus122015 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.
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.
Scopus3 WoS12015 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.
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.
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.
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.
Scopus10 WoS52014 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.
Scopus18 WoS142014 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.
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.
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.
Scopus17 WoS112014 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.
Scopus18 WoS62014 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.
Scopus72014 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.
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.
Scopus202013 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.
Scopus142013 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.
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.
Scopus7 WoS42013 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.
Scopus4 WoS32013 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.
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.
Scopus17 WoS122012 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.
Scopus14 WoS22012 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.
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.
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.
Scopus36 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.
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. IEEE.
2010 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.
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.
Scopus152009 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). IEEE.
Scopus252008 Teo, Y. M., & Szabo, C. (2008). CODES: An integrated approach to composable modeling and simulation. In Proceedings - Simulation Symposium (pp. 103-110). IEEE.
Scopus422007 Szabo, C., & Teo, Y. M. (2007). On Syntactic Composability and Model Reuse. In Proceedings - 1st Asia International Conference on Modelling and Simulation: Asia Modelling Symposium 2007, AMS 2007 (pp. 230-237). IEEE.
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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.
Scopus12 WoS92017 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.
Scopus2 WoS1
2017 - 2018 Resilient and Contextually Integrated ISR Information Dissemination, C. Szabo, DST Group ($96,718)
2017 – 2018 Women Leaders in STEM Careers, C. Szabo, L. O’Reilly, Department of Industry, Innovation, and Science, ($231,726)
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)
2016 – 2019 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 ($6,900,000)
2016 Alien vs. Wombat: Predicting the Impact of Invasive Plant Species on the Dynamics of Herbivore Populations, C. Szabo, S. Heideler et al., ($10,000) University Interdisciplinary Grant
2016 Computing Infrastructure Performance and Interoperability Research Generic Vehicle Architecture, K. Falkner and C. Szabo, DST Group ($100,000)
2015-2016 Pathways to Computer Science: Enabling Equity and Diversity. K. Falkner, C. Szabo, A.Szorenyi and D. Michell, Google Research Contract ($55,000)
2015 – Mega barcoding: Next Generation ‘de novo’ barcoding for health, agriculture and environment, M. Wilkinson, C. Szabo, A. Croxford, Y. Yarom, C. Ford, Australian Genome Research Facility ($15,000)
2015 Fiddler on the Cloud: Understanding form and function evolution in crustaceans - C. Szabo and P. Munguia, The University of Adelaide Interdisciplinary Research Grant ($27,000)
2014-2015 Addressing the Challenge of the Digital Technologies Curriculum (Years 7&8). K. Falkner, R. Vivian, N. Falkner and C. Szabo, Digital Careers Sponsorship Agreement ($119,588)
2015 – $110,000 - Model Driven Systems Engineering: Advanced Modelling of Communication Protocols. K. Falkner and C. Szabo, DSTO Research Contract
2013 – 2015 $420,000 – K. Falkner, C. Szabo, Review of Model Driven Software Engineering Practice: System Execution Modelling Environment. DSTO Research Contract
2014-2015 Addressing the Challenge of the Digital Technologies Curriculum (Years 7&8). K. Falkner, R. Vivian, N. Falkner and C. Szabo, Digital Careers Sponsorship Agreement ($119,588)
2015 – $110,000 - Model Driven Systems Engineering: Advanced Modelling of Communication Protocols. K. Falkner and C. Szabo, DSTO Research Contract
2014 – $130,000 - Model Driven Systems Engineering: Advanced Modelling of Communication Protocols. K. Falkner and C. Szabo, DSTO Research Contract
2014 – $10,000 - C. Izu, C. Szabo, C. Pope Google CS4HS Education Grant, Google Inc.
2013 – 2015 $420,000 – K. Falkner, C. Szabo, Review of Model Driven Software Engineering Practice: System Execution Modelling Environment. DSTO Research Contract
2012- 2013 $75,000 - K. Falkner, N. Falkner, C. Szabo, Review of Model Driven Software Engineering Practice: System Execution Modelling Environment. DSTO Research Contract
2012- 2013 $490,000 - K. Falkner, N. Falkner, C. Szabo, Review of Model Driven Software Engineering Practice: System Execution Modelling Environment. DSTO Research Contract
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 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 Large Language Models for Adaptive Microservice Composition and Orchestration Master of Philosophy Master Full Time Mr Jeffrey Chan 2024 Principal Supervisor Leveraging Machine Learning Agents for Military Application Doctor of Philosophy Doctorate Full Time Mr Joshua Dylan Francis 2023 Principal Supervisor Collaborative Multi-Agent Reinforcement Learning Doctor of Philosophy Doctorate Part Time Mr Rohit Gopalan 2023 Principal Supervisor Warm-Starting Reinforcement Learning in Complex Environments Doctor of Philosophy Doctorate Part Time Miss Lauren Yvette Taylor 2022 Principal Supervisor Developing Self-Adaptive Architecture for Scalable Microservice-based Systems Doctor of Philosophy Doctorate Full Time Hussain Ahmad 2022 Principal Supervisor A framework of risk analysis in contested and dynamic environments Doctor of Philosophy Doctorate Part Time Mr Eyoel Worku Teffera 2022 Principal Supervisor DevSecOps Through Shared Mental Models in Intra-Organization Software Development Teams Doctor of Philosophy Doctorate Full Time Mr Roshan Namal Rajapakse 2021 Principal Supervisor Developing a robust distributed multi-agent system for cyber defence Doctor of Philosophy Doctorate Full 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 - 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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