Poster Abstracts

Poster #1: A Feature-Based Approach to Quantify Motor Activity in Critically Ill Neurological Patients Using an Unobtrusive Wearable Sensor Matrix

Shubhayu Bhattacharyay* 1, Aditya Joshi 2, John Rattray 3, Robert D. Stevens 4, [1] Department of Biomedical Engineering, Johns Hopkins University, [2] Department of Neuroscience, Johns Hopkins University, [3] Department of Electrical and Computer Engineering, Johns Hopkins University, [4] Departments of Neurosurgery, Neurology, and Anesthesiology and Critical Care Medicine, Johns Hopkins University
While a consistent relationship is observed between levels of physical activity and health outcomes, there is a lack of accurate, pragmatic and cost-effective methods to measure and classify human motor outputs in the clinical setting.

Poster #2: An Integrated Framework for Studying the Ocean Circulation

Mattia Almansi*, Aleksi Nummelin, Atousa Saberi, Thomas W. N. Haine, Renske Gelderloos, Department of Earth and Planetary Sciences, Johns Hopkins University
The dynamical and physical processes governing the ocean circulation can be investigated using different approaches such as numerical simulations, and observations (e.g., in-situ or remote sensing measurements). We have set up and run several high-resolution numerical simulations to study the three-dimensional, time-evolving ocean circulation of the Subpolar North Atlantic Ocean. With the goal of building … Continued

Poster #3: Anisotropic Scaling of Avalanches in the Random Field Ising Model

Joel Clemmer*, Mark Robbins, Department of Physics and Astronomy, Johns Hopkins University
“Driven interfaces in a wide variety of systems undergo a critical depinning transition as the driving force is increased to a critical value. Near this transition, growth consists of discrete avalanches with a power law distribution of sizes and a diverging correlation length along the interface. We simulate the depinning of a self-affine domain wall … Continued

Poster #4: Dash Cam Video Analysis: Laptimes and Beyond

Cong Mu*, Tamás Budavári, Department of Applied Mathematics and Statistics, Johns Hopkins University
Today there are dashboard cameras in many cars providing a video log of our drives. The recordings of work commutes and other trips could be useful for many purposes, for example, identifying unusual incidents in trips, assisting in insurance claims for accidents, etc. Our goal is to build automatic tools for analyzing these logs and … Continued

Poster #5: Developing a Framework to Enable Large-scale Analysis of Physiologic and Clinical Data Obtained through Electronic Health Records

Ali Afshar* 1, Aidan Crank 2, Digvijay Singh 2, Nauder Faraday 1, [1] Department of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Medicine, [2] Department of Computer Science, Johns Hopkins Whiting School of Engineering
Our project aims to address some of the high-impact research problems in analyzing large-scale vital signs data available through Electronic Health Records. Specifically, our team plans to develop a framework to utilize time-dependent patterns in vital signs data to: i) Identify patients who experienced significant variations in their vital signs (blood pressure, heart rate, SpO2, … Continued

Poster #6: Discovering Governing Laws of Interaction in Heterogeneous Agents Dynamics from Observation

Ming Zhong* 1, Fei Lu2, Mauro Maggioni1, Sui Tang2, [1] Applied Mathematics and Statistics, Johns Hopkins University, [2] Department of Mathematics, Johns Hopkins University
Inferring the laws of interaction of particles and agents in complex dynamical systems from observational data is a fundamental challenge in a wide variety of disciplines. We start from data consisting of trajectories of interacting agents, which is in many cases abundant, and propose a non-parametric statistical learning approach to extract the governing laws of … Continued

Poster #7: Effects of chain alignment on welding and fracture of polymer interfaces

Marco Aurelio Galvani Cunha*, Mark O. Robbins, Department of Physics and Astronomy, Johns Hopkins University
Polymer glasses are frequently used in a form of additive manufacturing called fused filament fabrication (FFF). Melts are extruded onto previous layers and form a weld before the temperature drops below the glass transition temperature. Extrusion is typically fast enough to produce significant chain alignment that affects the welds formed by diffusion between layers and … Continued

Poster #8: Ensemble Kalman Filter Parameter Estimation for Individual Turbines

Genevieve M. Starke*, Carl R. Shapiro, Charles Meneveau, Dennice F. Gayme, Department of Mechanical Engineering, Johns Hopkins University
As wind farms become a more prevalent, wind farms need to be able to provide generator services such as frequency regulation. To provide a controller capable of frequency regulation, a reduced order model is used in the controller, which is tested on a large eddy simulation (LES) wind farm. This model is combined with an … Continued

Poster #9: Exploring transcription in tens of thousands of samples with Snaptron2

Christopher Wilks* 1, Jonathan Ling 2, Rone Charles 1, Ben Langmead 1, [1] Department of Computer Science, Johns Hopkins University, [2] Department of Neuroscience, Johns Hopkins University
As more and larger genomics studies appear, there is a growing need for comprehensive and queryable cross-study summaries. Such summaries make it easy for researchers to reproduce past studies, combine data in new ways, and test hypotheses using vast datasets that would otherwise be too expensive or difficult to obtain. We previously created Snaptron[1], a … Continued

Poster #10: Identifying the turbulent-boundary-layer interface in a transitional flow using a self-organizing map

Zhao Wu*, Jin Lee, Charles Meneveau, Tamer Zaki, Department of Mechanical Engineering, Johns Hopkins University
An unsupervised machine-learning algorithm, the self-organizing map (SOM), is used to identify the turbulent boundary layer (TBL) and non-TBL regions in bypass transition. The data employed for the analysis are from an archived direct simulation publicly available in the Johns Hopkins Turbulence Databases (JHTDB,, stored using the new FileDB system. The data points in … Continued

Poster #11: Robust Registration of Astronomy Catalog

Fan Tian*, Tamás Budavári, Amitabh Basu, Department of Applied Mathematics and Statistics, Johns Hopkins University
Due to a small number of reference sources, the astrometric calibration of images with a small field of view is often inferior to the internal accuracy. An important experiment with such challenges is the Hubble Space Telescope. A possible solution is to cross-calibrate overlapping fields instead of just relying on standard stars. Following Budavári and … Continued

Poster #12: SciServer Applications in the Materials Science and Engineering Domain

David Elbert* 1, Nick Carey 2, Tamas Budavari 3, Brian Schuster 4, [1] Hopkins Extreme Materials Institute, [2] Computer Sciences, Johns Hopkins University, [3] Applied Mathematics and Statistics, Johns Hopkins University, [4] Army Research Laboratory
Materials science and engineering faces Big Data challenges from advances in instrumentation and computational modeling. In two projects we use SciServer for cloud-based, materials-specific infrastructure to provide data curation, visualization, and analysis to diverse, materials-domain workgroups. In the MEDE Data Science Cloud (MEDE-DSC), SciServer provides data-centric computing infrastructure with collaborative integration into the materials design … Continued

Poster #13: SciServer: Collaborative Tools for Data-Driven Engineering and Science

Jordan Raddick* and The SciServer Team, Institute for Data Intensive Engineering and Science, Johns Hopkins University
SciServer ( is an IDIES-developed online system for scientific research and education with big data. The system offers access to several Petabyte-scale scientific datasets in fields ranging from astronomy to turbulence to genomics, along with a set of simple but powerful browser-based tools to visualize and analyze those datasets. SciServer has has been developed over … Continued