Agenda

08:00Continental Breakfast – Check In
09:00Opening Remarks
S. Alexander Szalay, PhD, Depts. of Physics & Astronomy and Computer Science, Johns Hopkins University
09:10Keynote Speaker
Artificial Intelligence at the Edge meets Big Data and HPC in the Cloud
Pete Beckman, PhD, Computing, Environment & Life Science at Argonne National Laboratory and Northwestern University/Argonne Institute for Science & Engineering
09:55Seed Fund Update
Using epidemiological and simulation data to inform the testing of autonomous vehicles
Johnathon Ehsani1, Tak Igusa2, Hadi Kharrazi3, 1 Center for Injury Research and Policy, Dept. of Health Policy and Management, Dept. of Health, Behavior and Society, Bloomberg School of Public Health, Johns Hopkins University, 2Center for Systems Science and Engineering, Dept. of Civil Engineering, Whiting School of Engineering, Johns Hopkins University, 3Center for Population Health Information Technology, Dept. of Health Policy and Management, School of Public Health, Johns Hopkins University
10:10Seed Fund Update
Harnessing Big Data for Population Health: Advancing Natural Language Processing Techniques to Extract Social-Behavioral Risk Factors from Free Text within Large Electronic Health Record Systems
Jonathan Weiner, Hadi Kharrazi, Elham Hatef* 1, Mark Dredze 2, Christopher Chute 3, 1Center for Population Health Information Technology, Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, 2Center for Language and Speech Processing & Malone Center for Engineering in Healthcare, Whiting School of Engineering, Johns Hopkins University, 3School of Medicine & Chief Research Information Officer, Johns Hopkins Health System
10:25Break – Mudd Auditorium Lobby
10:40Transformative Research at MARCC
Jaime Combariza, PhD, Maryland Advanced Research Computing Center
11:00Seed Fund Update
Is Geo-Location Information Helpful in Trading the Spread between Under Armour and Nike?
Jim Kyung-Soo Liew 1, Tamas Budavari 2, 1Dept. of Finance, Carey Business School, Johns Hopkins University, 2Dept. of Applied Mathematics and Statistics, Whiting School of Engineering, Johns Hopkins University
11:15Seed Fund Update
A Data-Intensive Approach to Large-scale Social Network Structural Analysis: Identifying Hidden Communities
Angelo Mele 1, Lingxin Hao 2, Gerard Lemson3, 1Dept. of Economics, Carey Business School, Johns Hopkins University, 2Dept. of Sociology, Krieger School of Arts and Sciences, Johns Hopkins University, 3Dept. of Physics & Astronomy, Krieger School of Arts and Sciences, Johns Hopkins University
11:30Poster Madness: 1 slide and 1 minute to Pitch Your Poster!
11:45Lunch and Poster Session – Mudd Hall UTL Commons
12:45Keynote Speaker
The Materials Genome Initiative and AI
Jim Warren, PhD, Director of the Materials Genome Program, Material Measurement Laboratory, NIST
13:30Seed Fund Update
Data-driven Prediction of Risk of Sudden Cardiac Death
Natalia A. Trayanova 1, Katherine C. Wu2, Dan M. Popescu3, 1Dept. of Biomedical Engineering and Medicine, School of Medicine, Johns Hopkins University, 2Dept. of Medicine, Division of Cardiology, School of Medicine, Johns Hopkins University, 3Dept. of Applied Mathematics and Statistics, Whiting School of Engineering, Johns Hopkins University
13:45Toward a National Research Storage Substrate: The Open Storage Network
Alainna White, Institute for Data Intensive Engineering Science, Johns Hopkins University
14:00SciServer: Supporting Science Projects
Gerard Lemson, PhD, Institute for Data Intensive Engineering and Science, Johns Hopkins University
14:10Break – Mudd Auditorium Lobby
14:25SciServer in the Materials Science Domain: From Data to Discovery
David Elbert, Dept. of Earth & Planetary Sciences, Krieger School of Arts & Sciences, Johns Hopkins University
14:35Seed Fund Update
Developing an Analytics Software Tool to Identify Patients Diagnosed with Heart Failure and at High Risk of 30-day Hospital Readmissions based on Physiologic and Clinical Data Obtained from Electronic Health Records
Nauder Faraday1, Alexis Battle2, Kasper Hansen3, Ali Afshar 4, 1Dept. of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University, 2Dept. of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, 3Dept. of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, 4 Dept. of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University
14:50Seed Fund Update
A big-data engine for large-scale splicing screens
Ben Langmead1, Seth Blackshaw, Jonathan Ling2, 1Dept. of Computer Science, Whiting School of Engineering, Johns Hopkins University, 2Dept. of Neuroscience, School of Medicine, Johns Hopkins University
15:05Keynote Speaker
Data-Driven Discovery in the Next Generation Sky Survey
Tony Tyson, PhD, DSci, Physics Department, University of California, Davis
15:50Closing Remarks
S. Alexander Szalay, PhD, Depts. of Physics & Astronomy and Computer Science, Johns Hopkins University
16:00Cocktail Reception – UTL Commons

Poster Session

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

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

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

Joel Clemmer*, Mark Robbins, Department of Physics and Astronomy, Johns Hopkins University

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

Cong Mu*, Tamás Budavári, Department of Applied Mathematics and Statistics, Johns Hopkins University

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

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

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

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

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

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

Poster #11: Robust Registration of Astronomy Catalog

Fan Tian*, Tamás Budavári, Amitabh Basu, Department of Applied Mathematics and Statistics, Johns Hopkins University

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

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