IEEE Computational Intelligence Society

IEEE CIS Webinars

webinar

 

Beyond Textbooks: An Overview of IEEE CIS Education Activities

Wednesday, 24 April 2024 2:00 PM - 3:00 PM (GMT)

Registration: https://register.gotowebinar.com/register/6329303939518768730

Abstract: This webinar dives into the IEEE CIS commitment to empowering your learning journey in CI. Discover how IEEE CIS supports graduate student research and explore a wealth of resources available through the IEEE CIS Resource Center. From online webinars and local summer schools to world-wide student competitions, we offer a variety of programs to fuel your passion for CI. Finally, we showcase current educational initiatives and opportunities for you to get involved in shaping the future of CI education.

ADockhorn

Speaker Biography: Alexander Dockhorn is Junior professor for Computer Science at the Institute for Information Processing of the Leibniz University Hannover. His research is focused on the topics of machine learning, decision-making, AI in games, and game development. He is an active member of the IEEE CIS Education committee and serves as the chair of its Content Creation Subcommittee. In the past, he has been playing part in multiple education-focused activities of IEEE CIS, including competitions on Game AI and science communication as well as the introduction of immersive articles for more engaging reading experiences.

Multiobjective Bilevel Optimization, Algorithms and Applications

Speaker: Prof. Efrén Mezura-Montes, Artificial Intelligence Research Institute, University of Veracruz, MEXICO 
Thu, 25 April 2024 5:00 PM - 6:00 PM GMT
After a gentle introduction to the multiobjective bilevel optimization (MOBO) problem, considering the optimistic and pessimistic positions, this webinar presents a classification of methods that solve it, considering both exact and approximate approaches. The pros and cons of both options are analyzed and discussed. Moreover, a set of different applications where MOBO has been utilized to model and successfully solve real-world problems is presented. Finally, fertile paths of research are detected.

 

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