Exeter-Leiden Symposium on Data-Driven Modeling and Optimization #

Objectives #

Data has been playing an ever-growing role in artificial/computational intelligence. Such role goes beyond its typical use in neural networks and learning systems, encompassing also evolutionary and other meta-heuristic optimization algorithms. The objective of this symposium is to provide a unique and vibrant cohort for sharing and experiencing the emerging methodologies and applications of data-driven artificial/computational intelligence. It will offer keynotes, invited lectures and discussion groups given by experts from Exeter, Leiden and other high-profile institutions. It will provide a unique opportunity for participants to 1) learn about artificial/computational intelligence approaches and their applications; 2) interact with world-renowned experts in computational intelligence; and 3) communicate with experts and peers with a broad range of backgrounds to exchange ideas and form new collaborations.

It will take place as part of the outreach activities of the Alan Turing Institute and the Institute for Data Science and Artificial Intelligence (AI) at the University of Exeter. Both institutes are actively developing and fostering a culture of effective interactions for promoting data science and AI for addressing global challenges across disciplines.

Venue and Date #

This symposium will be running fully online via Zoom.

Zoom ID: 931 5551 9825 | PWD: 959476

June 6, 2022

Speakers #

Schedule #

Note that the time goes with Central European Time (CET)

The symposium will be organized in one day with the following agenda.

  • 9:00 – 9:10: Introduction talk by Ke Li/Hao Wang

  • 9:10 – 10:00 | Prof. Michael Emmerich | Leiden University, Netherlands
    Lipschitz Models versus Gaussian Process Models in Data-Driven Multi-objective Optimization
    Bio | Abstract | video

  • 10:00 – 10:50 | Prof. Yaochu Jin | University of Bielefeld, Germany
    Privacy-Preserving Data-driven Evolutionary Optimization
    Bio | Abstract | video

  • 10:50 – 11:40 | Prof. Thomas Bäck | Leiden University, Netherlands
    Evolutionary Computation meets Algorithm Configuration (and Applications)
    Bio | Abstract | video

  • 11:40 – 14:00: Lunch break

  • 14:00 – 14:50 | Prof. Juergen Branke | University of Warwick, UK
    Bayesian Optimisation and Input Uncertainty Reduction
    Bio | Abstract | video

  • 14:50 – 15:40 | Prof. Kaisa Miettinen | University of Jyväskylä, Finland
    Perspectives to Data-driven Multiobjective Optimization with Interactive Methods
    Bio | Abstract | video

  • 15:40 – 16:55
    Panel discussion | video

  • 16:55 – 17:00: Closing remark

Sponsors #

We are grateful to the support from UKRI Future Leaders Fellowship (MR/S017062/1), European Network Fund@Exeter (No. GP ENF5.10) and Turing Fellowship.