Abstract:

This talk will give an overview about the recent advances in multi-objective optimization and decision-making techniques and their applications in transportation industry. Transportation plays more than ever a great role in our lives, while keeping us mobile, enabling fast and easy food and goods deliveries, and contributing to the global economy, its impact on climate change cannot be neglected. Therefore any improvement in optimization and decision-making in this field can have a considerable impact. This talk will provide insight into multi-objective optimization and decision-making algorithms for such applications and aims to provide future research directions. The main focus is on the interplay between optimization and decision-making for human-centric decision support systems.

Biography:

Sanaz Mostaghim is a full professor of computer science at the chair of Computational Intelligence in the Faculty of Computer Science, Otto von Guericke University Magdeburg, and the director of the Fraunhofer Institute for Transportation and Infrastructure Systems in Dresden Germany. She holds a PhD degree (2004) in electrical engineering from the University of Paderborn, Germany, has worked as a postdoctoral fellow at ETH Zurich in Switzerland and as a lecturer at Karlsruhe Institute of Technology (KIT), Germany, where she received her habilitation degree in applied computer science. Her research interests are in the area of multi-criteria optimization and decision-making, evolutionary computation, collective learning and decision-making, and their applications in robotics and science. Sanaz is a member of Saxon Academy of Sciences and the vice president of the IEEE Computational Intelligence Society (CIS) from 2020 to 2024.