About this Event
The presentation will last an hour and will be divided in two parts of 30 minutes to discuss two different topics, with a Q&A at the end of both. Lunch will be provided after the event.
First session: Real-Scale Social Simulations Using Societal Synthetic Populations in Digital Twin
It is essential for researchers to consider human factors in real-scale social simulations that take into account people living and working in target communities. In order to do so, data synthesis for human factors is getting attention recently. This lecturer shows how to synthesize the population data using statistics, and several applications of synthesized population data in real-scale social simulations including COVID-19 counter-measures. Latest research work in synthetic population and its applications are shown in this talk.
Second session: Multi- and Many-Objective Optimizations Using Evolutionary Computation Methods
In the complex world, we are facing challenges with multiple objectives to be tackled. When the number of objectives becomes many, the diversity of non-dominated solutions becomes high. This talk shows the fundamental knowledge in evolutionary computation methods for many-objective optimization problems. The lecturer received an IEEE Fellow in this research area. Some tips will be shown how to increase the citation of our papers in the research communities.
Event Venue & Nearby Stays
Seminar Room B003/4, UCD Geary Institute for Public Policy, Belfield, Ireland
EUR 0.00
