The JHU Institute for Data Intensive Engineering and Science (IDIES) is pleased to announce the Spring, 2018 Seed Funding Program Awardees.
Using epidemiological and simulation data to inform the testing of autonomous vehicles.
Johnathon Ehsani, Tak Igusa, Hadi Kharrazi
Characterizing key factors influencing blood pressure variation and its relation to clinical outcomes in chronic diseases using large-scale connected health and clinical datasets
Nauder Faraday, Alexis Battle, Kasper Hansen
A big-data engine for large-scale splicing screens
Ben Langmead, Seth Blackshaw, Jonathan Ling
Can Geo-Located Tweet Sentiment Predict Stock Price Movement?
Jim Kyung-Soo Liew, Tamas Budavari
Modeling Dynamics of Social Networks: Data-intensive Structural Modeling and Analysis of Simulated Network Structures
Angelo Mele, Lingxin Hao, Gerard Lemson
Data-driven prediction of risk of sudden cardiac death
Natalia A. Trayanova, Katherine C. Wu , Dan M. Popescu
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, Mark Dredze, Christopher Chute