Speakers
(in the order of presentations)
Jürgen Kurths
Jürgen Kurths is Head of the Research Department 4 “Complexity Science” at Potsdam Institute for Climate Impact Research (PIK) as well as Head of the working group “Nonlinear Dynamics” at Humboldt University Berlin. He is an expert in the fields of theoretical physics, complex systems science as well as applications to the Earth system, infrastructure (e.g. power grids), the human brain, and other systems which are characterized by a high degree of complexity and nonlinearity.
Sudo Yi
Sudo Yi is a Research Fellow at School of Computational Sciences in Korea Institute for Advanced Study (KIAS). He studies complex systems based on the viewpoint of statistical physics. He is interested in various topics about non-trivial global phenomena based on simple interactions among individuals, and tries to describe the phenomena by designing interesting and meaningful artificial models.
Marc Timme
Marc Timme is Strategic Professor at TU Dresden and Chair for Network Dynamics in 2017, bridging the center for advancing electronics dresden (afaed) with the Institute for Theoretical Physics. Marc is interested in building mathematical, conceptual and algorithmic foundations towards an understanding of the collective nonlinear dynamics of networks, applications fields include biological and bio-inspired technical systems, future mobility, network economy & sustainability as well as network inverse problems of inference, design, and control. Enjoys swimming, hiking, philosophy - and science.
Meesoon Ha
Meesoon Ha is an Associate Professor of Physics Education at Chosun University and an Associate Member of Physics at Korea Institute for Advanced Study. Her specialty is nonequilibrium statistical physics, in particular to the universality classes of phase transitions and critical phenomena, which are characterized by minimal model studies of complex systems as well as extended finite-size scaling analyses near the criticality. She has contributed to the theoretical establishment of nonequilibrium phase transitions of dynamic processes in a variety of underlying structures.
Jie Sun
Jie Sun is a chief researcher of network science at Huawei Hong Kong Research Center. He was an associate professor in the Department of Mathematics at Clarkson University and the Clarkson Center for Complex Systems Sciences, where he worked between 2012 and 2019. His research spans a broad range of topics centered around complex systems, nonlinear dynamics and control aspects of network science; with a recent focus on causal inference, machine learning and optimization with dynamical systems. He is a member of SIAM and APS, and an editor of the journal Chaos.
Young Sul Cho
Young Sul Cho is a professor of physics at Jeonbuk National University in South Korea. He is interested in the fields of percolation and synchronization. He contributed to the theoretical establishment of explosive percolation and explanation of cluster synchronization using the symmetry of network structure.
Benjamin Schäfer
Benjamin Schäfer is an Associate Professor at Norwegian University of Life Sciences. He is a theoretical scientist analyzing various complex systems with an emphasis on energy transition, sustainability and climate change. His research emphasizes decentralized bottom-up approaches, eg to control power grids. Furthermore, he applies stochastic, data-driven and computation methods to various systems. Solving global problems, like the energy transition, requires interdisciplinary and international collaboration.
Adilson E. Motter
Adilson E. Motter is the Morrison Professor of Physics at Northwestern University. Prior to joining the Northwestern faculty, he held positions as Director’s Postdoctoral Fellow at the Center for Nonlinear Studies of LANL and as Guest Scientist at the Max Planck Institute for the Physics of Complex Systems. He received his Ph.D. in 2002 and joined Northwestern in March 2006, where he holds an Endowed Chair Professorship since 2011. His research is focused on the dynamics of complex systems and networks, including synchronization phenomena, cascading failures, network control, and symmetry phenomena. He is particularly interested in the realistic network modeling of complex physical, biological, and engineering systems, and in applications to renewable energy and smart power grids.