You are cordially invited to the seventh seminar of the “SNU AI.MED Talks 25” series, hosted by the 2025 Seoul National University Medical AI Convergence Talent Development Program (snuaimed.org).

In this seminar, Professor Elad Hazan from the Department of Computer Science at Princeton University will give a lecture on the topic:
“Controlling Hospital Flows and Infected Population Control.”

Date & Time: Friday, April 11, 2025, 16:00–17:20
Venue: Room 115, College of Medicine Education Building, Seoul National University
Online Access (via ZOOM):
https://snu-ac-kr.zoom.us/j/82918852398
Meeting ID: 829 1885 2398
(You may also scan the QR code on the poster above for quick access)

We look forward to your active participation.
Thank you.

Sincerely,
SNU AI.MED (Seoul National University Medical AI Convergence Talent Development Program)

 Topic:

Controlling Hospital Flows and Infected Population Control

 Abstract:

Population dynamics research, once rooted in early sociology, has since expanded into fields such as biology, epidemiology, evolutionary game theory, and economics. While most existing studies have focused on prediction rather than control, and have relied on deterministic models with minimal noise, real-world population changes—such as those observed during the COVID-19 pandemic—occur in complex, unpredictable environments.

To address these limitations, we propose a novel analysis based on the paradigm of online control. This approach defines a set of linear dynamical systems capable of naturally modeling evolving populations, and incorporates a broad range of multi-linear optimization conditions that reflect concentration-driven transmission. We present experimental results demonstrating the algorithm’s effectiveness in nonlinear scenarios such as infectious disease spread and microbial growth.