Markus Wagner

Assoc Professor

Accepting PhD Students


Research activity per year

Personal profile


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 36 (3.6k citations), and he has attracted over AUD 10M in funding (AUD 1.6M as lead). To date, his results have been recognised with one best poster award, one best presentation award, three best paper awards, and one medal. He served as General Chair of the 1000-attendee GECCO’22, he founded the IEEE CIS Task Force on Benchmarking, and he is co-founder of the area of Data-Driven Search-Based Software Engineering (2017/2018).

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):

  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action

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-Landau

Award Date: 30 Nov 2009

Artificial Intelligence, Master program (one-year, DAAD-funded exchange program), one-year exchange program, University of Georgia


External positions

Acting Head of School, University of Adelaide

Feb 2022Jul 2022

Discovery Early Career Researcher Award (DECRA), Australian Research Council (ARC)


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

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or