Latest Past Events

Dynamical Mean-Field Theory of Complex Systems on Sparse Directed Networks – Gyuyoung Hwang

B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon

In this talk, we discuss the paper "Dynamical Mean-Field Theory of Complex Systems on Sparse Directed Networks" by Fernando L. Metz, Phys. Rev. Letters, 2025. Abstract Although real-world complex systems typically interact through sparse and heterogeneous networks, analytic solutions of their dynamics are limited to models with all-to-all interactions. Here, we solve the dynamics of

Simulating the Spread of Infection in Networks with Quantum Computers – Shingo Gibo

B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon

In this talk, we discuss the paper "Simulating the Spread of Infection in Networks with Quantum Computers" by Xiaoyang Wang, Yinchenguang Lyu, Changyu Yao and Xiao Yuan, Physical Review Applied, vol.19, 064035 (2023). Abstract We propose to use quantum computers to simulate infection spreading in networks. We first show the analogy between the infection distribution

Developing time-series machine learning methods to unlock new insights from large-scale biomedical resources – Aiden Doherty

ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium) (pw: 1234)

Abstract Smartphones and wearable devices provide a major opportunity to transform our understanding of the mechanisms, determinants, and consequences of diseases. For example, around 9 in 10 people own a smartphone in the United Kingdom, while one-fifth of US adults own wearable technologies. This high level of device ownership means that many people could contribute