Projects per year
Personal profile
Biography
Markus Wagner is an Associate Professor at the Department of Data Science and AI, Faculty of Information Technology, Monash University, Australia. He has conducted his PhD studies at the Max Planck Institute for Informatics in Saarbruecken, Germany and at the University of Adelaide, Australia. His research topics range from mathematical runtime analysis of heuristic optimisation algorithms and theory-guided algorithm design to applications of heuristic methods to software engineering and renewable energy production. While his research is fundamental at times, he is no stranger to industry-funded research; some of his translational projects are funded by Google, Facebook, and by several companies in defence and mining.
Markus has been deeply passionate about sustainability since his high-school days… and still is. He serves as the first ever Sustainability Officer (since 2019) at the ACM Special Interest Group on Genetic and Evolutionary Computation, he founded the IEEE CIS Task Force on Computational Intelligence in the Energy Domain, and he is Associate Director for Smart Energy Systems at the Monash Energy Institute.
Using further, “raw” academic performance indicators: Markus has written about 200 articles with about 250 co-authors, his h-index is 41 (4.7k citations), and he has attracted over AUD 12M in funding (AUD 1.6M as lead). To date, his results have been recognised with one best poster award, one best presentation award, four best paper awards, one medal, one HUMIES Gold Award, and the 2024 Biannual German IT Security Award. He served as General Chair of the 1000-attendee GECCO’22, he founded the IEEE CIS Task Force on Benchmarking and the IEEE CIS Task Force on Benchmarking, and he is co-founder of the area of Data-Driven Search-Based Software Engineering (2017/2018).
Markus has all his papers available on his website: https://www.acrocon.com/~wagner/
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, PhD, Theory and Applications of Bio-Inspired Algorithms, University of Adelaide
Award Date: 31 Jul 2013
Computer Science: Artificial Intelligence and Theoretical Computer Science, Diplom, Testing a Verification System, University of Koblenz and Landau
Award Date: 30 Nov 2009
Artificial Intelligence, Master program (one-year, DAAD-funded exchange program), one-year exchange program, University of Georgia
2006 → 2007
External positions
Acting Head of School, University of Adelaide
Feb 2022 → Jul 2022
Discovery Early Career Researcher Award (DECRA), Australian Research Council (ARC)
2016 → 2018
Research area keywords
- Climate Change
- Optimisation
- Heuristics
- Multi-Objective Optimisation
- Search Based Software Engineering
- Design Optimisation
- Wind Farms
- Wave Farms
Collaborations and top research areas from the last five years
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G-PST: Australian Research for Global Power System Transformation (Stage 4) Topic 3
Goodwin, S. (Primary Chief Investigator (PCI)), Tag, B. (Chief Investigator (CI)), Vered, M. (Chief Investigator (CI)), Gao, C. (Chief Investigator (CI)), Wybrow, M. (Chief Investigator (CI)), Dwyer, T. (Chief Investigator (CI)) & Wagner, M. (Chief Investigator (CI))
12/02/25 → 11/02/26
Project: Research
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Collaborative Sensing and Learning: Collaborative Sensing and Learning for Maritime Situational Awareness
Wagner, M. (Primary Chief Investigator (PCI)), Chin, T. J. (Chief Investigator (CI)), Reid, I. (Chief Investigator (CI)), Gupta, S. (Partner Investigator (PI)) & Guettier, C. (Partner Investigator (PI))
Australian Research Council (ARC), Safran Electronics & Defense Australasia Pty Ltd, Monash University – Internal Faculty Contribution, University of Adelaide
16/08/21 → 30/06/25
Project: Research
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Digital Twin: Digital Twin Enabled Sustainable Sunshine Precinct Development
Yang, R. (Primary Chief Investigator (PCI)) & Wagner, M. (Chief Investigator (CI))
1/03/24 → 1/04/25
Project: Research
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Collaboration with RedGrid’: Collaboration to enhance RedGrid’s a software modelling and planning algorithms
Wagner, M. (Primary Chief Investigator (PCI)), Liebman, A. (Chief Investigator (CI)), Wang, H. (Chief Investigator (CI)) & Mak, T. (Chief Investigator (CI))
1/11/23 → 30/09/24
Project: Research
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Preface
Krejca, M. S. & Wagner, M., 2025, Evolutionary Computation in Combinatorial Optimization: 25th European Conference, EvoCOP 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings. S. Krejca, M. & Wagner, M. (eds.). Cham Switzerland: Springer, p. v-vii 3 p. (Lecture Notes in Computer Science; vol. 15610).Research output: Chapter in Book/Report/Conference proceeding › Foreword / Postscript › Other
Open Access -
“We're already experts in school, right?”: Supporting students’ construction of future school scenarios
Selwyn, N., Kaviani, F., Strengers, Y., Dahlgren, K., Cumbo, B. & Wagner, M., Feb 2025, In: Futures. 166, 12 p., 103541.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Assessing domain gap for continual domain adaptation in object detection
Doan, A. D., Nguyen, B. L., Gupta, S., Reid, I., Wagner, M. & Chin, T. J., Jan 2024, In: Computer Vision and Image Understanding. 238, 10 p., 103885.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
A technocognitive approach to detecting fallacies in climate misinformation
Zanartu, F., Cook, J., Wagner, M. & García, J., Dec 2024, In: Scientific Reports. 14, 1, 12 p., 27647.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Creative and Correct: Requesting Diverse Code Solutions from AI Foundation Models
Blyth, S., Treude, C. & Wagner, M., 2024, Proceedings - 2024 IEEE/ACM 1st International Conference on AI Foundation Models and Software Engineering, FORGE 2024. Di Penta, M. & Hu, X. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 119-123 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
Open AccessFile1 Citation (Scopus)
Activities
- 2 Contribution to workshop, seminar, course
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AIM Day: Maths AI and Energy meet Industry @ Monash
Collevecchio, A. (Organiser), Garoni, T. (Organiser), Goodwin, S. (Organiser), Hamza, K. (Organiser) & Wagner, M. (Organiser)
3 Jun 2024Activity: Participating in or organising an event types › Contribution to workshop, seminar, course
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AIM Day: Maths AI and Energy meet Industry @ Monash
Collevecchio, A. (Organiser), Dargaville, R. (Organiser), Garoni, T. (Organiser), Goodwin, S. (Organiser), Hamza, K. (Organiser), Lilley, B. (Organiser), Wagner, M. (Organiser) & Xie, Y. (Organiser)
14 Nov 2024Activity: Participating in or organising an event types › Contribution to workshop, seminar, course
Press/Media
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Reimagining the future of AI in the education ecosystem
Kaviani, F., Selwyn, N., Strengers, Y., Cumbo, B., Wagner, M. & Dahlgren, K.
10/10/24
1 Media contribution
Press/Media: Article/Feature