Ryszard Kowalczyk

Research Interests

Artificial Intelligence

Prof Ryszard Kowalczyk

SmartSat Chair of Artificial Intelligence

School of Computer Science and Information Technology

College of Engineering and Information Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Professor Ryszard Kowalczyk is SmartSat CRC Chair in Artificial Intelligence at University of South Australia in Adelaide, Australia. He was Director of Swinburne Key Lab for Intelligent Software Systems and Head of Distributed AI Systems Research Group, and the former inaugural Wipro Chair of Artificial Intelligence at Swinburne University of Technology in Melbourne, Australia. Prior to this, he led AI research at CSIRO and a number of corporate Research & Development centres in Australia and overseas.
Professor Kowalczyk’s research interests include distributed artificial intelligence, autonomous software agents and collective intelligence for automated and optimised decision-making, and their applications in digital eco-systems of interacting systems, people and things, i.e. cyber-physical-social eco-systems. It involves automated reasoning, negotiation, learning, adaptation and self-organisation in autonomous multi-agent systems, enabling smart infrastructure, smart cities, smart exchanges and industry 4.0. His current research is focused on AI for onboard and distributed space systems autonomy and resilience. 
Professor Kowalczyk has co-authored 4 patents, published more than 250 scientific articles, and provided expert policy advice to government bodies in Australia and overseas. He has been awarded more than 40 Research & Development projects funded by competitive grants and industry in excess of $38 million, delivering significant research and commercial benefits. His current and past industry collaborators include Wipro, DST Group, Zimbani, CGREI, Suncorp, AARNet, Siemens, Telstra, Vastpark, Canon, IBM, Australian Navy, SAP and DaimlerChrysler.
He received PhD in Computer Science (Artificial Intelligence) from Silesian University of Technology, Poland and holds a lifetime title of State Professor awarded by the President of Poland.

Date Position Institution name
2022 - ongoing SmartSat CRC Professorial Chair in AI University of South Australia
2018 - 2020 Wipro Chair of Artificial Intelligence Swinburne University of Technology
2003 - 2022 Professor of Intelligent Systems Swinburne University of Technology
1997 - 2003 Principal Research Scientist CSIRO Scientific Computing
1992 - 1996 Senior Research Scientist Rio Tinto (Australia)

Date Institution name Country Title
1987 - 1990 Silesian University of Technology Poland PhD

Year Citation
2026 Jabbarpour, M. R., Vo, B. Q., El Dalahmeh, G., Tahir, H., Kowalczyk, R., Bessell, T., & Barr, J. (2026). Agent-based approaches for distributed space systems and mission management: Methodologies, current practices and challenges. Acta Astronautica, 238, 237-257.
DOI
2025 A Hady, M., Hu, S., Pratama, M., Cao, Z., & Kowalczyk, R. (2025). Multi-agent reinforcement learning for resources allocation optimization: a survey. Artificial Intelligence Review: an international science and engineering journal, 58(354), 1-49.
DOI Scopus1
2025 Chen, B., Cao, Z., Mayer, W., Stumptner, M., & Kowalczyk, R. (2025). HCPI-HRL: Human Causal Perception and Inference-driven Hierarchical Reinforcement Learning. Neural Networks, 187, 13 pages.
DOI Scopus2 WoS2
2025 Ma'sum, M. A., Pratama, M., Lughofer, E., Liu, L., Habibullah., & Kowalczyk, R. (2025). Few-shot continual learning via flat-to-wide approaches. IEEE Transactions on Neural Networks and Learning Systems, 36(5), 8966-8978.
DOI Scopus1 WoS3 Europe PMC1
2024 Paeedeh, N., Pratama, M., Masum, M. A., Mayer, W., Cao, Z., & Kowalczyk, R. (2024). Cross-domain few-shot learning via adaptive transformer networks. Knowledge-based Systems, 288(111458), 1-9.
DOI Scopus17 WoS14
2024 Paeedeh, N., Pratama, M., Wibirama, S., Mayer, W., Cao, Z., & Kowalczyk, R. (2024). Few-shot class incremental learning via robust transformer approach. Information Sciences, 675(120751), 1-21.
DOI Scopus2
2024 Ma'sum, M. A., Sarkar, M. D. R., Pratama, M., Ramasamy, S., Anavatti, S., Liu, L., . . . Kowalczyk, R. (2024). Dynamic long-term time-series forecasting via meta transformer networks. IEEE Transactions on Artificial Intelligence, 5(8), 4258-4581.
DOI Scopus1
2024 Masum, M. A., Pratama, M., Ramasamy, S., Liu, L., & Habibullah, H. (2024). Unsupervised few-shot continual learning for remote sensing image scene classification. IEEE Transactions on Geoscience and Remote Sensing, 62(4707214), 1-14.
DOI Scopus3 WoS2
2024 Nguyen, D. A., Li, M., Lambert, G., Kowalczyk, R., McDonald, R., & Vo, Q. B. (2024). Efficient machine reading comprehension for health care applications: algorithm development and validation of a context extraction approach. JMIR Formative Research, 8, 1-14.
DOI Scopus1
2023 Chhetri, M. B., Forkan, A. R. M., Vo, Q. B., Nepal, S., & Kowalczyk, R. (2023). Towards proactive risk-aware cloud cost optimization leveraging transient resources. IEEE Transactions On Services Computing, 16(4), 3014-3026.
DOI
2022 Mansour, K., Al Lahham, Y., Tawil, S., Kowalczyk, R., & Al Qerem, A. (2022). An effective negotiation strategy for quantitative and qualitative issues in multi-agent systems. Electronics, 11(17, article no. 2754), 1-16.
DOI
2022 Li, Q., Li, M., Vo, B. Q., & Kowalczyk, R. (2022). An efficient algorithm for task allocation with the budget constraint. Expert Systems with Applications, 210(118279), 1-13.
DOI Scopus19
2021 Chhetri, M. B., Forkan, A. R. M., Vo, Q. B., Nepal, S., & Kowalczyk, R. (2021). Exploiting heterogeneity for opportunistic resource scaling in cloud-hosted applications. IEEE Transactions on Services Computing, 14(6), 1739-1750.
DOI
2021 Ramchand, K., Baruwal Chhetri, M., & Kowalczyk, R. (2021). Enterprise adoption of cloud computing with application portfolio profiling and application portfolio assessment. Journal of Cloud Computing, 10(1, article no. 1), 1-18.
DOI
2021 Khaw, Y. N., Kowalczyk, R., Vo, Q. B., Abd Rahim, N., & Che, H. S. (2021). Transition-state replicator dynamics. Expert Systems with Applications, 182(115254), 1-12.
DOI
2020 Morsali, R., Thirunavukkarasu, G. S., Seyedmahmoudian, M., Stojcevski, A., & Kowalczyk, R. (2020). A relaxed constrained decentralised demand side management system of a community-based residential microgrid with realistic appliance models. Applied Energy, 277(115626), 1-14.
DOI
2019 Nepal, S., Chhetri, M. B., Ranjan, R., & Kowalczyk, R. (2019). A note on quality of service issues in smart cities. Journal of Parallel and Distributed Computing, 127, 116-117.
DOI
2019 Ghorbani, S., Unland, R., Shokouhandeh, H., & Kowalczyk, R. (2019). An innovative stochastic multi-agent-based energy management approach for microgrids considering uncertainties. Inventions, 4(3, article no. 37), 1-20.
DOI
2018 Morsali, R., & Kowalczyk, R. (2018). Demand response based day-ahead scheduling and battery sizing in microgrid management in rural areas. IET Renewable Power Generation, 12(14), 1651-1658.
DOI
2017 Chichin, S., Vo, Q. B., & Kowalczyk, R. (2017). Towards efficient and truthful market mechanisms for double-sided cloud markets. IEEE Transactions on Services Computing, 10(1, article no. 7523413), 37-51.
DOI
2017 Damiani, E., Kowalczyk, R., & Parr, G. (2017). Extending the outreach: from smart cities to connected communities. ACM Transactions On Internet Technology, 18(1, article no. 1), 1-7.
DOI
2016 Chhetri, M. B., Chichin, S., Vo, Q. B., & Kowalczyk, R. (2016). Smart CloudBench-a framework for evaluating cloud infrastructure performance. Information Systems Frontiers, 18(3), 413-428.
DOI
2015 Chhetri, M. B., Vo, Q. B., & Kowalczyk, R. (2015). AutoSLAM - a policy-based framework for automated SLA establishment in cloud environments. Concurrency and Computation: Practice and Experience, 27(9), 2413-2442.
DOI
2015 Nassiri Mofakham, F., Ali Nematbakhsh, M., Baraani Dastjerdi, A., Ghasem Aghaee, N., & Kowalczyk, R. (2015). Bidding strategy for agents in multi-attribute combinatorial double auction. Expert Systems with Applications, 42(6), 3268-3295.
DOI
2015 Mansour, K., & Kowalczyk, R. (2015). Coordinating the bidding strategy in multiissue multiobject negotiation with single and multiple providers. IEEE Transactions on Cybernetics, 45(10), 2261-2272.
DOI
2015 Mansour, K., & Kowalczyk, R. (2015). An approach to one-to-many concurrent negotiation. Group Decision and Negotiation, 24(1), 45-66.
DOI
2015 Li, M., Vo, Q. B., & Kowalczyk, R. (2015). Aggregating multi-valued CP-nets: a CSP-based approach. Journal of Heuristics, 21(1), 107-140.
DOI

Year Citation
2019 Nguyen, N. T., Kowalczyk, R., & Hernes, M. (Eds.) (2019). Transactions on computational collective intelligence XXXII (1 ed.). Germany: Springer.
DOI
2018 Nguyen, N. T., Kowalczyk, R., Mercik, J., & Motylska Kuźma, A. (Eds.) (2018). Transactions on computational collective intelligence XXXI (1 ed.). Germany: Springer.
DOI
2018 Nguyen, N. T., & Kowalczyk, R. (Eds.) (2018). Transactions on computational collective intelligence XXIX (1 ed.). Germany: Springer.
DOI
2018 Nguyen, N. T., Kowalczyk, R., van den Herik, J., Rocha, A. P., & Filipe, J. (Eds.) (2018). Transactions on computational collective intelligence XXVIII (1 ed.). Switzerland: Springer.
DOI
2018 Nguyen, N. T., & Kowalczyk, R. (Eds.) (2018). Transactions on computational collective intelligence XXX (1 ed.). Germany: Springer.
DOI
2017 Nguyen, N. T., Kowalczyk, R., Pinto, A. M., & Cardoso, J. (Eds.) (2017). Transactions on computational collective intelligence XXVI (1 ed.). Germany: Springer.
DOI
2017 Nguyen, N. T., Kowalczyk, R., & Mercik, J. (Eds.) (2017). Transactions on computational collective intelligence XXVII (1 ed.). Germany: Springer.
DOI
2016 Nguyen, N. T., Kowalczyk, R., & Mercik, J. (Eds.) (2016). Transactions on computational collective intelligence XXIII. Germany: Springer.
DOI
2016 Nguyen, N. T., Kowalczyk, R., & Filipe, J. (Eds.) (2016). Transactions on computational collective intelligence XXIV (1 ed.). Germany: Springer.
DOI
2016 Nguyen, N. T., Kowalczyk, R., Orłowski, C., & Ziółkowski, A. (Eds.) (2016). Transactions on computational collective intelligence XXV (1 ed.). Germany: Springer.
DOI
2016 Nguyen, N. T., & Kowalczyk, R. (Eds.) (2016). Transactions on computational collective intelligence XXII. Germany: Springer.
DOI
2016 Nguyen, N. T., Kowalczyk, R., & da Cunha, P. R. (Eds.) (2016). Transactions on computational collective intelligence XXI: special issue on keyword search and big data. Germany: Springer.
DOI
2015 Nguyen, N. T., Kowalczyk, R., Duval, B., van den Herik, J., Loiseau, S., & Filipe, J. (Eds.) (2015). Transactions on computational collective intelligence XX. Germany: Springer.
DOI
2015 Nguyen, N. T., Kowalczyk, R., & Xhafa, F. (Eds.) (2015). Transactions on computational collective intelligence XIX. Germany: Springer.
DOI

Year Citation
2025 Ma'sum, M. A., Pratama, M., Liu, L., Habibullah, H., & Kowalczyk, R. (2025). Federated few-shot class-incremental learning. In The Thirteenth International Conference on Learning Representations (ICLR 2025) (pp. 1-30). US: ICLR.
2025 Masum, M. A., Pratama, D., Ramasamy, S., Liu, L., Habibullah, H., & Kowalczyk, R. (2025). PROL: Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning. In IEEE/CVF International Conference on Computer Visions (ICCV 2025) (pp. 1-11). US: IEEE/CVF.
2025 Jabbarpour, M. R., El Dalahmeh, G., Tahir, H., Vo, B. Q., Kowalczyk, R., Barr, J., & Bessell, T. (2025). Agent-based Architecture for Proactive Fault Tolerance and Management in Small Satellite Missions. In IEEE Aerospace Conference Proceedings (pp. 1-17). US: IEEE.
DOI
2025 Ma'sum, M. A., Pratama, M., Ramasamy, S., Liu, L., Habibullah, H., & Kowalczyk, R. (2025). Vision and language synergy for rehearsal free continual learning. In The Thirteenth International Conference on Learning Representations (ICLR 2025) (pp. 1-31). US: ICLR.
2025 Ma'sum, M. A., Pratama, M., Liu, L., Habibullah, H., & Kowalczyk, R. (2025). FEDERATED FEW-SHOT CLASS-INCREMENTAL LEARNING. In 13th International Conference on Learning Representations Iclr 2025 (pp. 101524-101553).
Scopus1
2025 Ma'Sum, M. A., Pratama, M., Ramasamy, S., Liu, L., Habibullah, H., & Kowalczyk, R. (2025). VISION AND LANGUAGE SYNERGY FOR REHEARSAL FREE CONTINUAL LEARNING. In 13th International Conference on Learning Representations Iclr 2025 (pp. 15997-16027).
2024 Ma'sum, M. A., Pratama, M., Ramasamy, S., Liu, L., Habibullah, H., & Kowalczyk, R. (2024). PIP: prototypes-injected prompt for Federated Class Incremental Learning. In CIKM ’24 Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (pp. 1670-1679). US: Association for Computing Machinery.
DOI Scopus2
2021 Samant, S. S., Chhetri, M. B., Vo, Q. B., Kowalczyk, R., & Nepal, S. (2021). AuraEN: autonomous resource allocation for cloud-hosted data processing pipelines. In H. Hacid (Ed.), Service-Oriented Computing –ICSOC 2020 Workshops Vol. 12632 (pp. 77-80). Switzerland: Springer Nature Switzerland AG.
DOI
2021 Ramchand, K., Chhetri, M. B., & Kowalczyk, R. (2021). An approach for the financial viability assessment of cloud migration projects. In T. X. Bui (Ed.), Proceedings of the 54th Hawaii International Conference on System Sciences (pp. 5987-5996). US: University of Hawaii at Manoa.
DOI
2020 Li, Q., Li, M., Vo, Q. B., & Kowalczyk, R. (2020). An anytime algorithm for large-scale heterogeneous task allocation. In Y. Li, & A. Liew (Eds.), Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS Vol. 2020-October (pp. 206-215). US: Institute of Electrical and Electronics Engineers.
DOI
2020 Ramchand, K., Chhetri, M. B., & Kowalczyk, R. (2020). Towards case completion with inferencing and solution identification using 'Nested CBR'. In 31st Australasian Conference on Information Systems (ACIS’2020) (pp. 1-8). US: ACIS 2002.
2019 Chhetri, M. B., Forkan, A. R. M., Vo, Q. B., Nepal, S., & Kowalczyk, R. (2019). Towards risk-aware cost-optimal resource allocation for cloud applications. In E. Bertino (Ed.), 2019 IEEE International Conference on Services Computing (IEEE SCC 2019) (pp. 210-214). US: Institute of Electrical and Electronics Engineers.
DOI
2019 Chhetri, M. B., Uzunov, A. V., Vo, Q. B., Nepal, S., & Kowalczyk, R. (2019). Self-improving autonomic systems for antifragile cyber defence: challenges and opportunities. In Proceedings 2019 IEEE International Conference on Autonomic Computing, ICAC 2019 (pp. 18-23). US: Institute of Electrical and Electronics Engineers.
DOI
2019 Harold, C., Chhetri, M. B., & Kowalczyk, R. (2019). Approximating multi-attribute resource allocations using GAI utility functions. In Y. Demazeau (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11523 LNAI (pp. 103-114). Germany: Springer.
DOI
2019 Samant, S. S., Chhetri, M. B., Vo, Q. B., Nepal, S., & Kowalczyk, R. (2019). Benchmarking for end-to-end QoS sustainability in cloud-hosted data processing pipelines. In Proceedings: 2019 IEEE 5th International Conference on Collaboration and Internet Computing: CIC 2019 (pp. 39-48). US: IEEE Computer Society.
DOI
2018 Ghorbani, S., Morsali, R., Unland, R., & Kowalczyk, R. (2018). Distributed multi-agent based energy management of smart micro-grids: autonomous participation of agents in power imbalance handling. In J. Bajo (Ed.), Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity The PAAMS Collection (pp. 321-332). Switzerland: Springer.
DOI
2018 Chhetri, M. B., Lumpe, M., Vo, Q. B., & Kowalczyk, R. (2018). To bid or not to bid in streamlined EC2 spot markets. In R. Bilof (Ed.), Proceedings 2018 IEEE International Conference on Services Computing (IEEE SCC 2018) Vol. nothing (pp. 129-136). US: Institute of Electrical and Electronics Engineers.
DOI
2018 Chhetri, M. B., Uzunov, A. V., Vo, Q. B., Kowalczyk, R., Docking, M., Luong, H., . . . Nepal, S. (2018). AWaRE - towards distributed self-management for resilient cyber systems. In R. Bilof (Ed.), 2018 23rd International Conference on Engineering of Complex Computer Systems (ICECCS) (pp. 185-188). US: Institute of Electrical and Electronics Engineers.
DOI
2018 Ramchand, K., Chhetri, M. B., & Kowalczyk, R. (2018). Towards a cloud architectural decision framework using case-based reasoning and rule-based reasoning. In Australasian Conference on Information Systems 2018 (pp. 1-7). Australia: University of Technology Sydney ePress.
DOI
2018 Chhetri, M. B., Luong, H., Uzunov, A. V., Vo, Q. B., Kowalczyk, R., Nepal, S., & Rajapakse, I. (2018). ADSL: an embedded domain-specific language for constraint-based distributed self-management. In R. Bilof (Ed.), Proceedings 25th Australasian Software Engineering Conference (ASWEC 2018) (pp. 101-110). US: Institute of Electrical and Electronics Engineers.
DOI
2018 Chhetri, M. B., Vo, Q. B., Kowalczyk, R., & Nepal, S. (2018). Towards resource and contract heterogeneity aware rescaling for cloud-hosted applications. In L. O'Conner (Ed.), Proceedings 2018 18TH IEEE/ACM International Symposium On Cluster, Cloud and Grid Computing (pp. 153-162). US: Institute of Electrical and Electronics Engineers.
DOI
2018 Samant, S. S., Chhetri, M. B., Vo, Q. B., Kowalczyk, R., & Nepal, S. (2018). Towards end-to-end QoS and cost-aware resource scaling in cloud-based IoT data processing pipelines. In R. Bilof (Ed.), Proceedings 2018 IEEE International Conference on Services Computing (IEEE SCC 2018) Vol. nothing (pp. 287-290). US: Institute of Electrical and Electronics Engineers.
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2018 Ramchand, K., Chhetri, M. B., & Kowalczyk, R. (2018). Towards a comprehensive cloud decision framework with financial viability assessment. In M. Tanabu, & D. Senoo (Eds.), Proceedings of the 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018. US: Association for Information Systems.
2017 Lumpe, M., Chhetri, M. B., Vo, Q. B., & Kowalczyk, R. (2017). On estimating minimum bids for Amazon EC2 spot instances. In L. O'Conner (Ed.), Proceedings 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017 (pp. 391-400). US: I E E E Computer Society.
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2017 Chhetri, M. B., Lumpe, M., Vo, Q. B., & Kowalczyk, R. (2017). On forecasting Amazon EC2 spot prices using time-series decomposition with hybrid look-backs. In A. M. Goscinski, & M. Luo (Eds.), 2017 IEEE 1st International Conference On Edge Computing (IEEE EDGE) (pp. 158-165). US: IEEE Computer Society.
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2017 Siddiqi, S., Kowalczyk, R., & Vo, B. Q. (2017). Demand response in presence of multiple suppliers. In IEEE Power and Energy Society General Meeting (pp. 1-5). US: Institute of Electrical and Electronics Engineers.
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2017 Chhetri, M. B., Lumpe, M., Vo, Q. B., & Kowalczyk, R. (2017). On estimating bids for Amazon EC2 spot instances using time series forecasting. In X. Liu, & U. Bellur (Eds.), 2017 IEEE International Conference On Services Computing (SCC) (pp. 44-51). US: Institute of Electrical and Electronics Engineers.
DOI
2017 Morsali, R., Ghorbani, S., Kowalczyk, R., & Unland, R. (2017). On battery management strategies in multi-agent microgrid management. In W. Abramowicz (Ed.), Business Information Systems Workshops, BIS 2017 Vol. 303 (pp. 191-202). Switzerland: Springer.
DOI
2017 Samant, S. S., Chhetri, M. B., Vo, Q. B., Kowalczyk, R., & Nepal, S. (2017). Towards quality-assured data delivery in cloud-based IoT platforms for smart cities. In R. Bilof (Ed.), 2017 IEEE 3rd International Conference on Collaboration and Internet Computing Vol. nothing (pp. 291-298). US: IEEE Computer Society Conference Publishing Services.
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2017 Ramchand, K., Chhetri, M. B., & Kowalczyk, R. (2017). Towards a flexible cloud architectural decision framework for diverse application architectures. In Proceedings of the 28th Australasian Conference on Information Systems, ACIS 2017 (pp. 1-11). US: Association for Information Systems.
2016 Al Bahrani, L. T. A., Patra, J. C., & Kowalczyk, R. (2016). Orthogonal PSO algorithm for optimal dispatch of power of large-scale thermal generating units in smart power grid under power grid constraints. In Proceedings of the International Joint Conference on Neural Networks (pp. 660-667). US: Institute of Electrical and Electronics Engineers.
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2016 Bahrani, L. T. A., Patra, J. C., & Kowalczyk, R. (2016). Multi-gradient PSO algorithm for economic dispatch of thermal generating units in smart grid. In IEEE PES Innovative Smart Grid Technologies Conference Europe (pp. 258-263). US: Institute of Electrical and Electronics Engineers.
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2016 Chhetri, M. B., Vo, Q. B., & Kowalczyk, R. (2016). CL-SLAM: cross-layer SLA monitoring framework for cloud service-based applications. In R. Bilof (Ed.), 2016 IEEE/ACM 9th International Conference On Utility And Cloud Computing (UCC) (pp. 30-36). US: Association for Computing Machinery.
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2016 Morsali, R., Vo, Q. B., & Kowalczyk, R. (2016). On incorporating consumer satisfaction in microgrid energy management. In IET Conference Publications (pp. 391-400). UK: The Institution of Engineering and Technology.
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2015 Chichin, S., Vo, Q. B., & Kowalczyk, R. (2015). Towards efficient greedy allocation schemes for double-sided cloud markets. In P. P. Maglio, I. Paik, & W. Chou (Eds.), Proceedings - 2015 IEEE International Conference on Services Computing, SCC 2015 (pp. 194-201). US: IEEE.
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2015 Chhetri, M. B., Vo, Q. B., & Kowalczyk, R. (2015). Supporting temporal aspects of SLA establishment in auto SLAM framework. In P. P. Maglio, I. Paik, & W. Chou (Eds.), Proceedings - 2015 IEEE International Conference on Services Computing, SCC 2015 (pp. 234-241). US: IEEE.
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2015 Chichin, S., Vo, Q. B., & Kowalczyk, R. (2015). Double-sided market mechanism for trading cloud resources. In L. O'Conner (Ed.), Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015 Vol. 2 (pp. 198-205). US: Institute of Electrical and Electronics Engineers.
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2015 Chhetri, M. B., Vo, Q. B., & Kowalczyk, R. (2015). Agent enabled adaptive management of cloud service provisioning. In L. O'Conner (Ed.), Proceedings - 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (pp. 292-299). US: AAAI Press.
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  • Warm Starts and Goal-based Heuristics to Improve MARL Performance in Advanced Distributed Defence, Defence Innovation Partnership, 01/12/2023 - 31/12/2024

Date Role Research Topic Program Degree Type Student Load Student Name
2024 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mr Mingjun Fan
2024 Principal Supervisor - Doctor of Philosophy Doctorate Full Time Mr Mohamad Abdul Hady
2024 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Yugu Li
2023 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mr Naeem Paeedeh
2023 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Miss Franke Agenbag
2023 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mr Monirul Islam Pavel

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