The JHU Institute for Data Intensive Engineering and Science (IDIES) is pleased to announce the Spring, 2018 Seed Funding Program Awardees.
Congratulations to
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Using epidemiological and simulation data to inform the testing of autonomous vehicles.
Johnathon Ehsani, Tak Igusa, Hadi Kharrazi
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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
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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
