Ph.D. student Ekaterina Landgren has received a 2021 Zonta Amelia Earhart Fellowship. The program, open to students worldwide, recognizes up to 35 women annually pursuing doctoral degrees in aerospace... Read more about CAM Student Ekaterina Landgren Receives Zonta Amelia Earhart Fellowship
First Virtual CAM Poster Session a Success!
On September 26, CAM faculty, postdocs, and students presented 23 slides and 10 posters about their research in CAM's first-ever virtual poster session. Each presenter had 60 seconds to give a one-slide summary of their work in the “slide blitz," which occurred on Zoom. After the “blitz,” the event moved to the CAMspace on Gather.town for the poster session, during which attendees browsed through posters and interacted with presenters and each other at their leisure.
- John Chavis, Student, Hypergraph Cuts with General Splitting Functions & Minimizing Localized Ratio Cut
Objectives in Hypergraphs
- Mark Gluzman, Student, Queueing Network Controls via Deep Reinforcement Learning
- Michael Jauch, Postdoc, Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion
- Misha Padidar, Student, Bayesian Risk-Averse Optimization of Stellarators
- Toryn Schafer, Postdoc, Non-Linear Forecasting with Echo State Networks
- Chun Yin (Alex) Siu, Student, The Shape of Data - Topological Statistics: Identifying Underlying Manifolds, Revealing Mesoscopic Structures in Networks, Quantifying Complicated Geometries, and More
- Nate Veldt, Postdoc, Hypergraph Cuts with General Splitting Functions & Minimizing Localized Ratio Cut
Objectives in Hypergraphs
- Lily Wang, Student, Coalescing Ballistic Annihilation
- Yujia Zhang, Student, COVID-19 Modeling for Cornell’s Fall Semester
- Xinran Zhu, Student, GPTune: Multitask Learning for Autotuning Exascale Applications
Blitz Slides (all poster presenters above also presented slides on poster topic)
- David Bindel, Field Faculty and Director, Stellarator Optimization
- Vasilis Charisopoulos, Postdoc, Communication-Efficient Distributed Eigenspace Estimation
- Chris Earls, Field Faculty, Physics-Informed Machine Learning: Giving Computers Models of the World
- Jan N. Fuhg, Postdoc, Vision: Data-Driven Crystal-Plasticity
- Mallory Gaspard, Student, Managing Uncertainty on the Road
- Max Jenquin, Empirical Green's Function Models for Parameter-Dependent Inverse Problems
- Jonas L. Juul, Postdoc, Harder, Better, Faster, Stronger Cascades—or Simply Larger?
- Teeratorn Kadeethum, Non-Intrusive Reduced Order Modeling of Contact Problems
- Ariah Klages-Mundt, Student, Economic Complexity and Cryptoeconomic Design
- Kath Landgren, Student, Climate Model Complexity Range (Log Scale?)
- Anna Poulton, Student, Optimal Control: Spatial Fisheries Management
- Max Ruth, Student, Geometrically Nonlinear Dynamics in Piezoelectric MEMS
- Alex Townsend, Field Faculty, Adaptive Numerical Computing
Image: CAM Student Chun Yin (Alex) Siu presents his slide in 60 seconds for the Slide Blitz. The three bottom images in his slide, left to right are attributed to:
R. Bruel Gabrielsson and G. Carlsson, Exposition and interpretation of the topology of neural networks, in 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019, pp. 1069–1076.
A. E. Sizemore, C. Giusti, A. Kahn, J. M. Vettel, R. F. Betzel, and D. S. Bassett, Cliques and cavities in the human connectome, Journal of Computational Neuroscience, 44 (2018), p. 115—145.
M. Li, K. Duncan, C. N. Topp, and D. H. Chitwood, Persistent homology and the branching topologies of plants, American Journal of Botany, 104 (2017), pp. 349–353.