Poster Abstracts

Poster #1: Automatic Treatment Planning Implemenation Using a Database of Previously Treated Patients Abstract Poster

Joseph Moore, Radiation Oncology and Medical Physics
Purpose: Using a database of prior treated patients it is possible to predict the dose to critical structures for future patients. Automatic treatment planning speeds the planning process by generating a good initial plan from predicted dose values. Methods: A SQL relational database of previously approved treatment plans is populated via an automated export from … Continued

Poster #2: Bayesian Multiscale Modeling of Spatial Infrastructure Performance Predictions with an Application to Electric Power Outage Forecasting

Allison Reilly, DOGEE
A number of models have been developed to estimate the spatial distribution of infrastructure impact during a natural hazard event. For example, statistical approaches have been developed to estimate the percentage of customers without power due to a hurricane, with the estimates made at a local geography level such as census tracts. While some statistical … Continued

Poster #3: Boiler: A Compression Tool for BAM Alignments Supporting Fast, Accurate Queries

Jacob Pritt, Computer Science
RNA Sequencing (RNA-Seq) is an increasingly important tool in studying genome structure and gene expression. RNA-Seq reads must first be aligned by a tool such as Tophat, after which downstream tools such as Cufflinks, DESeq, and Derfinder can explore gene structure and expression. With the increasing availability of RNA-seq datasets covering hundreds or thousands of … Continued

Poster #4: Effective Pain Management with Prophylactic Gabapentin in the Irradiated Head and Neck Cancer Patient is Associated with Functional Benefits

Zhi Cheng, Radiation Oncology
Effective Pain Management with Prophylactic Gabapentin in the Irradiated Head and Neck Cancer Patient is Associated with Functional Benefits. Harry Quon1,2, Zhi Cheng1, Heather Starmer2, Scott Robertson1, Wuyang Yang1, Marian Richardson1, Mysha Allen1, Sarah Afonso1, Marissa Stoltzfus2, Giuseppe Sanguineti1, Anna Ponce Kiess1, Christine Gourin2, Todd McNutt1 Department of Radiation Oncology and Molecular Radiation Sciences, Department … Continued

Poster #5: Exploring Finite Time Lyapunov Exponents in Isotropic Turbulence with the Johns Hopkins Turbulence Databases

Perry Johnson, Mechanical Engineering
Finite-time Lyapunov exponents (FTLE) offer a rich description of Lagrangian particle trajectories in fluid flows through exploring the exponential rate of divergence for neighboring trajectories. In turbulence flows, which are approximately statistically isotropic at the small-scales relevant to FTLE, the fact that they converge for long time to a non-zero Lyapunov exponents is a leading … Continued

Poster #6: Fast GPU Algorithm on Dark Matter Annihilation for Visualization and Science Research Abstract Poster

Lin Yang, Physics and Astronomy
We present a fast GPU algorithm for computing the Dark Matter annihilation or decay. Compared to the usual CPU algorithm, our algorithm gains 1000 folds speed up. This allows us doing fast numerical experiments on large N-body simulation data sets. Based on this algorithm, we presented useful possible templates for fitting the observations to constrain … Continued

Poster #7: Fixed-Dimensional Acoustic Embeddings of Variable-Length Segments in Low-Resource Settings

Keith Levin, Center for Language and Speech Processing
Measures of acoustic similarity between words or other units are critical for segmental exemplar-based acoustic models, spoken term discovery, and query-by-example search. Dynamic time warping (DTW) alignment cost has been the most commonly used measure, but it has well-known inadequacies. Some recently proposed alternatives require large amounts of training data. In the interest of finding … Continued

Poster #8: Flux-freezing Breakdown Observed in High-Conductivity Magnetohydrodyanamic Turbulence

Cristian Lalescu, Applied Math and Statistics
Alfven’s principle of “frozen-in” magnetic field lines for ideal plasmas explains diverse astrophysical phenomena, e.g. how proto-stars shed excess angular momentum. But frozen-in lines also preclude rapid changes in magnetic topology observed at high conductivities, e.g. in solar flares. Microphysical processes at scales below the ion gyroradius are a proposed explanation but it is unclear … Continued

Poster #9: Lagrangian Pathways and Transformation of the Denmark Strait Overflow Water

Inga Koszalka, Tom Haine*, Earth and Planetary Sciences
Overflows (dense gravity currents) result when dense water formed through cooling or salinification in regions behind confining topographic barriers, or on continental shelves, escapes into the deep ocean over a sloped sea floor. The overflows evolve on scales below the grid scale of ocean models used for climate predictions and need to be parameterized. The … Continued

Poster #10: Models as a Service

Mark Walker, Biomedical Engineering
Dissemination of complex biological models is difficult. Just as experimentalists face challenges with the reproducibility of experimental results due to variable reagents, equipment, and technique, modelers often deal with issues such as ill specified parameters, cryptic code, bugs, and disorganized model versions. Galaxy is an open web based platform, designed primarily for genomics research, that … Continued

Poster #11: Personalized Medicine of VEGF-targeting Therapies: A Multiscale Modeling Approach for Developing Predictive Biomarkers from Gene Expression Data Abstract

Joe Bender, Biomedical Engineering/ICM
A major obstacle in oncology drug development is the ineffectiveness of therapies in some patients due to inter-individual tumor heterogeneity. Some molecular biomarkers have proven useful, but these kinds of markers are still unable to accurately predict all responsive and nonresponsive patients. Computational models can aid in the development of predictive biomarkers by providing a … Continued

Poster #12: Real-time Probabilistic Inference Using Approximate Computing on High Velocity Streaming Data

Andreas G. Andreou,
We will do a real-time demonstration of a real-time probabilistic processing pipeline running on four field programmable gate arrays for high velocity sensor data from an autonomous real-time ubiquitous surveillance imaging system. High performance and high throughput is achieved through approximate computing and fixed point arithmetic in a variable precision (6 bits to 18 bits) … Continued

Poster #13: Routine Capture of Structured Data Elements Provides Insight into Unique Dose-Toxicity Relationships in Irradiated Head and Neck (HN) Cancer Patients Abstract Poster

Scott Robertson, Radiation Oncology and Molecular Radiation Sciences
Purpose: To develop a framework for automatic extraction of clinically meaningful dosimetric-outcome relationships from an in-house, analytic oncology database. Methods: Dose-volume histograms (DVH) and clinical outcome-related structured data elements have been routinely stored to our database for 592 head and neck cancer patients treated from 2007 to 2014. SQL queries were developed to extract outcomes … Continued

Poster #14: Streaming Multiframe Deconvolution of Atmospherically Distorted Images on GPUs

Matthias Lee, Computer Science
Atmospheric turbulence distorts all ground-based observations, which is especially detrimental to faint detections. The point spread function (PSF) defining this blur is unknown for each exposures and varies significantly over time, making image analysis difficult. Lucky imaging and traditional co-adding throws away lots of information. We developed blind deconvolution algorithms that can simultaneously obtain robust … Continued

Poster #15: The Origami Cosmic Web

Mark Neyrinck, Physics and Astronomy
In the current cosmological paradigm, an initially flat three-dimensional manifold that pervades space (the `dark-matter sheet’) folds up to build concentrations of mass (galaxies), and a cosmic web between them. Galaxies are nodes, connected by a network of filaments and walls. The folding is in six-dimensional (3D position, plus 3D velocity) phase space. The positions … Continued

Poster #16: Towards Super-Resolution 3D Galaxy Images

Ching-Wa Yip, Tucker Brownell*, Physics and Astronomy
Integral Field Unit (IFU) Spectroscopy is a powerful tool to probe galaxy properties in modern astronomy. These 3D data vary not only as a function of spectral wavelength but also the 2D position on a galaxy. While providing the much needed high wavelength resolution for physical parameter estimation, the IFU observations are still limited by … Continued