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Department of Mathematics

Applied Mathematics and Computation Seminars

Methane bubbles frozen in the ice of Lake Baikal

The AMC seminar is devoted to general topics in applied mathematics and computation. We welcome an interdisciplinary audience and speakers: faculty, researchers, and graduate students from mathematics, geosciences, computer science, engineering, atmospheric sciences, and other disciplines, to attend and present research talks in their fields as well as reaching across multiple fields. Both technical, tutorial, and expository presentations are welcome.

Attendees are encouraged to join the mailing list by sending an email to the organizer (M. Peszynska).

Students attending regularly are encouraged to sign up for (an appropriate section of) seminar credit under MTH 607. Non-OSU participants from outside academe are also encouraged to write an email to the organizers and provide their names and affiliation.

See below for upcoming seminars or access the seminar archive.

Organizers

Malgorzata Peszynska and Ralph E. Showalter.

Timing

Meetings are Fridays at noon.

Improving the representation of snowpack processes and distribution with model-data fusion

STAG 112

Speaker: Mark Raleigh

ABSTRACT:Seasonal snowpack is the largest areal component of the global cryosphere and is a major source of summer water supply in regions such as western North America and High Mountain Asia. The amount of water stored in winter snowpack (snow water equivalent, SWE) can vary significantly in space and time due to heterogeneous climate and landscape processes that influence snow accumulation and melt processes. This critical water resource is under monitored due to sparse ground-based observational networks, and a lack of satellite remote sensing system that can measure SWE across all global snow types and conditions. However, emerging remote sensing techniques and new capabilities with model-data fusion offer the potential to improve our understanding and prediction of snow water resources. In this seminar, I will highlight how we can improve representation of SWE and related snowpack processes through the integration of numerical snowpack models and observations using data… Read more.

Math in the Arctic, part I

STAG 112

Speaker: Malgorzata Peszynska

The Arctic is a complex environment. In this first talk we focus on thermal processes and the appropriate mathematical and computational framework. Read more.

TBA

STAG 112

Speaker: Solomon Yim

Read more.

Digital Twins for Time Dependent Problems

STAG 112

Speaker: Juan Restrepo

ABSTRACT: A digital twin is a set of algorithms that connect the virtual world to the physical worl in a fully bi-directional way: for example, a predictive digital twin will use physics models, machine learned models, constraints as well as observations to make forecasts. A digital twin used as a controller would yield a virtual prescription, taking into account observations, that prescribes changes in the real world aimed at obtaining a certain desired real world outcome. I will describe ongoing work on developing a digital twin that will become central to an artificial intelligence framework for large scale electric grid resilience via adaptation. BIO: Juan M. Restrepo is a Distinguished Member of the R&D staff and the section head of the mathematics in computation section at Oak Ridge National Laboratory. His research concerns foundational aspects of machine learning and the development of new artificial intelligence algorithms for science. He is a Fellow of the Society of… Read more.