[AI Seminar Series] Seminar by Prof. Thomas Bury, Friday June 5th, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

The next AI Seminar (last for this quarter) will be on Friday June 5th,
12-1pm, in the MRB Seminar Room (1st floor).

*** Pizza and refreshments will be provided ****

To keep track of the number of attendees, please *register* at:
https://www.eventbrite.com/e/ai-seminar-series-tickets-1990736274787

The talk will be given by *Prof. Thomas Bury*, Department of Mathematics,
UCR

TITLE: Deep learning for early warning signals of tipping points

ABSTRACT:
Tipping points - abrupt, qualitative changes in the state of a dynamical
system - can occur in systems ranging from the Earth’s climate to the human
heart, often with dire consequences. An abundance of research has focused
on developing early warning signals for tipping points based on generic
properties of dynamical bifurcations, such as critical slowing down. In our
work, we trained a deep learning classifier to predict tipping points using
a massive library of randomly generated dynamical systems. I will show how
the classifier generalizes to real ecological and cardiac systems,
achieving higher accuracy than conventional indicators. Finally, I will
present recent work using reinforcement learning to discover triggers for
cardiac arrhythmia by interacting with a mathematical model of cardiac
tissue. This talk will highlight the potential of combining deep learning
with dynamical models to better understand and predict critical transitions
in complex natural systems.

Bio
Dr. Thomas Bury is an Assistant Professor of Mathematics at the University
of California, Riverside whose research sits at the intersection of
nonlinear dynamics, machine learning, and the natural sciences. His current
focus is on developing mathematical and computational methods to better
understand and predict cardiac arrhythmia. Dr. Bury received his PhD in
Applied Mathematics from the University of Waterloo and completed a
postdoctoral fellowship at McGill University. His work has been published
in leading journals, including PNAS and Nature Communications.

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Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents
speakers working on cutting edge Foundational AI or applying AI in their
research. The goal of these seminars is to inform the UCR community about
current trends in AI research and promote collaborations between faculty in
this emerging field. These seminars are open to interested faculty and
graduate/undergraduate students. Please forward this email to other
colleagues or students in your lab that may be interested. After the seminar a
discussion will follow for questions, open problems, ideas for possible
collaborations etc.

Sincerely,
Vassilis Tsotras
Professor, CSE Department
co-Director, RAISE at UCR Institute

Amit Roy-Chowdhury
Professor, ECE Department
co-Director, RAISE at UCR Institute
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