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Institute for Pure & Applied Mathematics (IPAM) ยท Science

Institute for Pure & Applied Mathematics (IPAM)

The Institute for Pure and Applied Mathematics (IPAM) is a National Science Foundation Math Institute at the University of California, Los Angeles (UCLA) that fosters the interaction of mathematics with a broad range of science and technology, builds new interdisciplinary research communities, promotes mathematical innovation, and engages and transforms the world through mathematics. IPAM fulfills its mission through workshops and programs that connect mathematics and other disciplines or multiple areas of mathematics. These activities bring in thousands of visitors annually from academia, government, and industry. The NSF has encouraged IPAM to make the scientific presentations of our speakers available to a wider audience. While this YouTube channel contains many of our most popular videos, our full video archive is available at www.ipam.ucla.edu/videos.

Episodes

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Benjamin Berkels - An introduction to variational image processing - IPAM at UCLA

03 Oct 2022
1h 15m
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Prineha Narang - Shining New Light on Quantum Matter - IPAM at UCLA

30 Sep 2022
38m
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Spring 2023 Info Session - New Mathematics for the Exascale: Applications to Materials Science

29 Sep 2022
35m
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Angus Kirkland - Strategies for quantitative imaging & reconstruction from high speed/low dose data

23 Sep 2022
1h 11m
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John Miao - Capturing the 3D Atomic Structure of Non-Crystalline Materials - IPAM at UCLA

16 Sep 2022
1h 12m
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Paul Weiss - Leveraging Sparsity in Scanning Probe Microscopy - IPAM at UCLA

16 Sep 2022
1h 10m
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Jerome Darbon - Algorithms for Non-Local Filtering; application CryoElectron & biological microscopy

16 Sep 2022
1h 19m
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Hong Zhou - New cryoEM Programs for Studying Native Biological Complexes, in situ and in Action

15 Sep 2022
1h 15m
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Paul Voyles - Data-Information-Knowledge: Material Microscopy Problems w/ Computational Solutions?

15 Sep 2022
1h 13m
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Peter Binev - Learning Theory and Computational Microscopy - IPAM at UCLA

15 Sep 2022
1h 12m
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Stanley Osher - Variational Methods for Computational Microscopy - IPAM at UCLA

14 Sep 2022
40m
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John Miao - Coherent Diffractive Imaging: A Unification of Microscopy, Diffraction and Computation

14 Sep 2022
1h 13m
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Mahdi Soltanolkotabi - Machine Learning and Computational Imaging - IPAM at UCLA

14 Sep 2022
1h 15m
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Deanna Needell - Using Algebraic Factorizations for Interpretable Learning - IPAM at UCLA

13 Sep 2022
49m
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Peter Binev - Modeling in Electron Microscopy - IPAM at UCLA

13 Sep 2022
1h 8m
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Tomislav Stankovski - Neural Cross-frequency Coupling: delta-alpha, resting state, anesthesia, sleep

02 Sep 2022
44m
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Serhiy Yanchuk - Adaptive dynamical networks: from multiclusters to recurrent synchronization

02 Sep 2022
44m
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Sarah Muldoon - Characterizing differences in structural network changes from traumatic brain injury

02 Sep 2022
53m
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Ginestra Bianconi - Dynamics of higher-order networks: effect of topology and triadic interactions

02 Sep 2022
44m
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Jaroen Lamb - Towards a bifurcation theory of random dynamical systems - IPAM at UCLA

01 Sep 2022
52m
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