EMO 2023


Keynote Speakers

Yaochu Jin is an Alexander von Humboldt Professor for Artificial Intelligence endowed by the German Federal Ministry of Education and Research, with the Faculty of Technology, Bielefeld University, Germany. He is also a Surrey Distinguished Chair, Professor in Computational Intelligence, Department of Computer Science, University of Surrey, Guildford, U.K. He was a “Finland Distinguished Professor” of University of Jyväskylä, Finland, “Changjiang Distinguished Visiting Professor”, Northeastern University, China, and “Distinguished Visiting Scholar”, University of Technology Sydney, Australia. His main research interests include evolutionary optimization and learning, trustworthy machine learning and optimization, and evolutionary developmental AI.

Prof Jin is presently the Editor-in-Chief of Complex & Intelligent Systems. He is the recipient of the 2018 and 2021 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, and the 2015, 2017, and 2020 IEEE Computational Intelligence Magazine Outstanding Paper Award. He was named by the Web of Science as “a Highly Cited Researcher” consecutively from 2019 to 2021. He is a Member of Academia Europaea and Fellow of IEEE.

Heike Trautmann is Professor of Data Science: Statistics and Optimization, both at the Department of Information Systems, University of Münster, Germany and the University of Twente, Netherlands. She is also Director of the European Research Center for Information Systems (ERCIS) and key supporter of the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE). Her research mainly focuses on Data Science, Automated Algorithm Selection and Configuration, Exploratory Landscape Analysis, (Multiobjective) Evolutionary Optimization and Data Stream Mining. She is Associate Editor of the IEEE Transactions on Evolutionary Computation and the Evolutionary Computation Journal (ECJ).

Shared Affiliation:
Data Science: Statistics and Optimization, University of Münster (GE), University of Twente (NL)

Frank Neumann is a Professor and the leader of the Optimisation and Logistics group at the University of Adelaide and an Honorary Professorial Fellow at the University of Melbourne. His current position is funded by the Australian Research Council through a Future Fellowship and focuses on AI-based optimisation methods for problems with stochastic constraints. Frank has been the general chair of the ACM GECCO 2016 and co-organised ACM FOGA 2013 in Adelaide. He is an Associate Editor of the journals “Evolutionary Computation” (MIT Press) and ACM Transactions on Evolutionary Learning and Optimization. In his work, he considers algorithmic approaches in particular for combinatorial and multi-objective optimization problems and focuses on theoretical aspects of evolutionary computation as well as high impact applications in the areas of cybersecurity, renewable energy, logistics, and mining.

Kalyanmoy Deb is the Koenig Endowed Chair Professor at the Department of Elec- trical and Computer Engineering at Michigan State University (MSU), East Lansing, USA. Prior to this position, he was at Indian Institute of Technology Kanpur in India. Prof. Deb’s main research interests are in evolutionary optimization algorithms and their application in optimization and machine learning. He is largely known for his seminal research in Evolutionary Multi-Criterion Optimization. He was awarded the prestigious ‘Infosys Prize’ in 2012, ‘TWAS Prize’ in Engineering Sciences in 2012, ‘CajAstur Mamdani Prize’ in 2011, ‘JC Bose National Fellowship’ in 2011, ‘Distinguished Alumni Award’ from IIT Kharagpur in 2011, ’Edgeworth-Pareto’ award in 2008, Shanti Swarup Bhatnagar Prize in Engineering Sciences in 2005, ‘Thomson Citation Laureate Award’ from Thompson Reuters. His 2002 IEEE-TEC NSGA-II paper is now judged as the Most Highly Cited paper and a Current Classic by Thomson Reuters having more than 4,000+ citations. He is a fellow of IEEE. He has written two text books on optimization and more than 340 international journal and conference research papers. He is in the editorial board on 18 major international journals, including IEEE TEC.

Aneta Neumann is a researcher in the School of Computer and Mathematical Sciences at the University of Adelaide, Australia, and focuses on real world problems using evolutionary computation methods. She is also part of the Integrated Mining Consortium at the University of Adelaide. Aneta graduated in Computer Science from the Christian-Albrechts-University of Kiel, Germany, and received her PhD from the University of Adelaide, Australia. She served as the co-chair of the Real-World Applications track at GECCO 2021 and GECCO 2022, and is a co-chair of the Genetic Algorithms track at GECCO 2023. Her main research interests are bio-inspired computation methods, with a particular focus on dynamic and stochastic multi-objective optimization for real-world problems that occur in the mining industry, defence, cybersecurity, creative industries, and public health.

Shared Affiliation:
The University of Adelaide, Australia