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... Read more
About me
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.
Research
Excludes commercial-in-confidence projects.
Current externally funded projects:
- SpaceCraft Autonomy & Onboard AI for Next Generation Space Systems (SmartSat CRC)
- AI-based optimisation & communication in distributed satellite systems (DAAD-UA)
- Warm Starts and Goal-based Heuristics to Improve MARL Performance in Advanced Distributed Defence (DIP Collaborative Research Fund; with Caudia Szabo et al)
- Hyberspectral onboard processing for efficent bushfire detection (qualifierd to XPRIZE Wildfire Track A: Space-Based Detection & Intelligence; with Akula Tech et al)
- Autonomic Cyber Resilience and Antifragility (DSTG and Data61; with Bao Vo et al)
- Holobody: Advancing the Future of Mixed Reality Technologies (ARC DP; with Kim Vincs et al)
- Autonomic Factories: AI-based real-time failure prediction and schedule optimization in decentralized self-managing factories (DAAD-UA; with Bao Vo et al)
- Artificial Intelligence as the Most Valuable Player: Enabling cyber-human teams to achieve decision superiority (iDSRN/DSTG; with Chris Fluke et al)
- Technology and Dementia Care: A Conceptualisation of Digital Twins for Facilitating Better Dementia Prediction, Prevention and Care (Barbara Dicker Brain Science grant; with Nilmini Wickramasinghe et al)
Research
Research outputs for the last seven years are shown below. Some long-standing staff members may have older outputs included. To see earlier years visit ORCID or Scopus
Open access indicates that an output is open access.
| Year | Output |
|---|---|
| 2024 |
Open access
1
|
| 2024 |
Open access
2
|
| 2022 |
14
12
|
| 2021 |
5
3
|
| 2021 |
2
2
|
| Year | Output |
|---|---|
| 2019 |
1
|
| 2018 |
|
| 2018 |
4
|
| 2018 |
|
| 2018 |
|
| 2017 |
1
|
| 2017 |
|
| 2016 |
|
| 2016 |
1
|
| 2016 |
5
1
|
| 2016 |
1
|
| 2016 |
|
| 2015 |
1
1
|
| 2015 |
3
|
| Year | Output |
|---|---|
| 2025 |
Open access
|
| 2025 |
Open access
1
2
|
| 2024 |
Open access
1
|
| 2024 |
Open access
1
2
|
| 2024 |
Open access
9
6
|
| 2024 |
Open access
2
|
| 2023 |
|
| 2022 |
14
12
|
| 2022 |
Open access
4
5
|
| 2021 |
5
3
|
| 2021 |
2
2
|
| 2021 |
Open access
22
15
4
|
| 2020 |
30
21
|
| 2019 |
Open access
17
14
|
| 2018 |
Open access
30
24
|
| 2017 |
28
24
|
| 2017 |
Open access
7
7
|
| 2016 |
17
15
|
| 2015 |
12
10
|
| 2015 |
13
10
|
| 2015 |
15
8
|
| 2015 |
10
10
|
| 2015 |
25
18
7
|
| Year | Output |
|---|---|
| 2025 |
Open access
|
| 2025 |
Open access
|
| 2024 |
Open access
1
|
| 2021 |
Open access
|
| 2021 |
|
| 2020 |
11
|
| 2020 |
Open access
|
| 2019 |
7
3
|
| 2019 |
14
10
|
| 2019 |
|
| 2019 |
1
1
|
| 2018 |
6
7
|
| 2018 |
5
4
|
| 2018 |
14
11
|
| 2018 |
10
8
|
| 2018 |
1
|
| 2018 |
Open access
3
|
| 2018 |
Open access
7
|
| 2018 |
5
5
|
| 2017 |
11
10
|
| 2017 |
14
11
|
| 2017 |
21
15
|
| 2017 |
2
1
|
| 2017 |
Open access
|
| 2017 |
8
6
|
| 2017 |
|
| 2016 |
5
|
| 2016 |
11
6
|
| 2016 |
6
4
|
| 2016 |
1
|
| 2015 |
1
1
|
| 2015 |
4
4
|
| 2015 |
3
1
|
| 2015 |
8
7
|
Research
SmartSat and partners commit $7 million to develop AI-enabled spacecraft that operate autonomously
Prof Kowalczyk wins the UniSA Research & Enterprise Excellence Award 2023
External engagement & recognition
| Organisation | Country |
|---|---|
| Agency for Science, Technology and Research (A*STAR) | SINGAPORE |
| CSIRO Australia (Commonwealth Scientific Industrial Research organisation) | AUSTRALIA |
| CSIRO Data61 | AUSTRALIA |
| Data61 | AUSTRALIA |
| Data61 CSIRO | AUSTRALIA |
| Defence Science and Technology Group | AUSTRALIA |
| Escola Superior de Tecnologiy de Setébual | PORTUGAL |
| Gdansk School of Banking | POLAND |
| Huawei German Research Center | GERMANY |
| Institute for Infocomm Research | SINGAPORE |
| Johannes Kepler University of Linz | AUSTRIA |
| Jubail University College | SAUDI ARABIA |
| Khalifa University | UNITED ARAB EMIRATES |
| Leiden University | NETHERLANDS |
| LERIA - UFR Sciences | FRANCE |
| Newcastle University, United Kingdom | UNITED KINGDOM |
| Polish Academy of Sciences | POLAND |
| Polytechnic Institute of Setúbal | PORTUGAL |
| Polytechnic Institute of Setúbal (Portugal) | PORTUGAL |
| Polytechnic University of Catalonia | SPAIN |
| Poznan University of Economics | POLAND |
| RMIT University | AUSTRALIA |
| Semnan University | IRAN |
| Swinburne University of Technology | AUSTRALIA |
| Universidade de Coimbra | PORTUGAL |
| University of Duisburg-Essen | GERMANY |
| University of East Anglia | UNITED KINGDOM |
| University of Gadjah Mada | INDONESIA |
| University of Isfahan | IRAN |
| University of Lisbon | PORTUGAL |
| University of Malaya | MALAYSIA |
| University of Porto | PORTUGAL |
| University of South Australia | AUSTRALIA |
| Wroclaw University of Technology | POLAND |
| Wrocùaw University of Economics | POLAND |
| WSB University in Wrocaw | POLAND |
| WSB University in Wroclaw | POLAND |
| Zarqa University | JORDAN |
Teaching & student supervision
Supervisions from 2010 shown
| Thesis title | Student status |
|---|---|
| A hybrid intrinsic knowledge representation and reasoning in deep reinforcement learning | Current |
| Advanced continual machine learning | Current |
| An automated method of detecting, characterising and responding to radiation events in space | Current |
| An autonomous real-time satellite tasking and dynamic resource allocation based on distributed, multi-agent deep reinforcement learning | Current |
| Dynamic optimization of heterogeneous constellation resources | Current |
| Handling Dynamic Environments with Extremely Few Examples | Current |
| Onboard Dynamic Optimization of Heterogeneous Satellite Constellation Resources | Current |
| Towards efficient deep reinforcement learning in complex and dynamic tasks | Completed |
