Poster Session

The BASCD 2019 poster session will happen during the working lunch provided by the organizing committee. Please find below the list of posters confirmed so far.

1. Adrian Albert (LBNL) - "Hydroclimate modeling with conditional generative adversarial networks"
2. Ana Comesana (LBNL) - "Innovative Biofuel Development through Machine Learning"
3. Daniel Murnane (LBNL) - "Graph Neural Networks for Particle Reconstruction in High Energy Physics Detectors"
4. Imene R. Goumiri (LLNL) - "Reinforcement Learning via Gaussian Processes with Neural Network Dual Kernels"
5. J. Xavier Prochaska and Itamar Reis (UCSC) - "Effectively using unsupervised machine learning in next generation astronomical surveys"
6. J. Xavier Prochaska and Sam Gabbard (UCSC) - "Feature Visualization of Astronomical Absorption Lines Classified by a Convolutional Neural Network"
7. James Dunn and Samuel Fernandes (UC Berkeley) - "3D Computer Vision Deep Learning for Identifying Materials and Risks of Buildings to Wildfire"
8. Marcin Joachimiak (LBNL) - "A vision for automated ontological annotation of concepts and relationships in experimental data for knowledge discovery"
9. Nina Miolane and Frederic Poitevin (Stanford) - "Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks"
10. Reetik Sahu (LBNL) - "Predicting Daily Groundwater Levels with Deep Learning Models"
11. Wahid Bhimji (LBNL) - "Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale"
12. Xueqiao Xu (LLNL) - "Machine Learning Surrogate Models for Landau Fluid Closure"
13. Yu-Hang Tang (LBNL) - "GraphDot: A GPU-Accelerated Python Package for High-Throughput Graph Kernel Computation"
14. Zhe Bai (LBNL) - "Computed tomography (CT) image registration and segmentation for traumatic brain injury (TBI) analysis"