{"344291":{"#nid":"344291","#data":{"type":"external_news","title":"Edmond Chow and Others Celebrate One Year of Intel Parallel Computing Centers","body":[{"value":"\u003Cp\u003EOne year ago, Intel created the Parallel Computing Centers (IPCC) program. Dr. Edmond Chow of Georgia Tech\u0027s School of\u0026nbsp;School of Computational Science and Engineering, and other esteemed faculty and researchers involved with the IPCC program, celebrate a year of this program.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27998","created_gmt":"2014-11-11 11:16:11","changed_gmt":"2016-10-08 02:27:20","author":"Brittany Aiello","boilerplate_text":"","field_publication":"","publication":"I\u0026S career fair","field_article_url":"","publication_url":"http:\/\/www.scientificcomputing.com\/articles\/2014\/11\/focus-code-modernization-observing-year-one-intel-parallel-computing-centers","dateline":{"date":"2014-11-12T00:00:00-05:00","iso_date":"2014-11-12T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"332551":{"#nid":"332551","#data":{"type":"news","title":"Georgia Tech Takes Leading Role in NIH-Funded Center for Mobile Sensor Data-to-Knowledge","body":[{"value":"\u003Cp\u003EAs part of a four-year, multi-university grant from the National Institutes of Health to develop innovative ways to use mobile and wearable sensors for health purposes, Georgia Tech will take a lead in developing data research, strategy, and commercial opportunities for the project.\u003C\/p\u003E\u003Cp\u003EThe National Institutes of Health (NIH) announced on Oct. 9 that it has awarded $10.8 million in grants over the next four years to create the Mobile Sensor Data-to-Knowledge Center (MD2K). The center is part of the NIH Big Data to Knowledge (BD2K) initiative designed to support advances in research, policy, and training needed to use big data in biomedical research. To date, NIH has funded 12 \u201cCenters of Excellence\u201d to develop and deploy cutting-edge methods, tools, and other resources with big data.\u003C\/p\u003E\u003Cp\u003EThe MD2K center will be based at University of Memphis, under the directorship of Santosh Kumar. Georgia Tech, which will receive about $1.2 million in grants for its role with the center, will serve as the lead of the center\u2019s Data Science Research (DSR) core.\u003C\/p\u003E\u003Cp\u003E\u201cThe responsibility of the DSR team is to ensure that the center is successful from a research perspective and achieves its goals,\u201d said \u003Cstrong\u003EJim Rehg\u003C\/strong\u003E, professor in the School of Interactive Computing (IC). Rehg will serve as deputy director of the center and the lead scientist for data science research.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EGregory Abowd\u003C\/strong\u003E, a Regents and Distinguished Professor in IC, and \u003Cstrong\u003EPolo Chau\u003C\/strong\u003E, an assistant professor in the School of Computational Science and Engineering (CSE) and associate director of Tech\u2019s Masters in Analytics program, also will conduct research funded through this grant.\u003C\/p\u003E\u003Cp\u003EFor MD2K, the center assembles leading scientists from Cornell Tech, Georgia Tech, Northwestern, Ohio State, Rice, UCLA, UC San Diego, UC San Francisco, the University of Massachusetts Amherst, the University of Memphis, the University of Michigan, and Open mHealth, a non-profit organization. \u0026nbsp;Together, they aim to accelerate progress of predictive, preventive, personalized, participatory, and precision (P5) medicine by producing and making widely available open source, extensible, and standards-compliant big data analytics software for extracting information and actionable knowledge from mobile sensor data.\u003C\/p\u003E\u003Cp\u003E\u201cMobile sensors offer tremendous opportunities for accelerating biomedical discovery and optimizing care delivery,\u201d said Kumar. \u201cBy resolving significant technological and scientific challenges related to the complexities of mobile sensor data, our team aims to lay the scientific foundations for realizing the vision of P5 Medicine with mobile sensors, and usher in the next generation of healthcare.\u201d\u003C\/p\u003E\u003Cp\u003EThe team will directly target two complex health conditions with high mortality risk \u2013 reducing hospital readmission in congestive heart failure (CHF) patients and preventing relapse in abstinent smokers. The MD2K tools, software, and training materials produced by the Center will be made widely available to researchers and clinicians, and will have the potential to impact other complex diseases such as asthma, substance abuse and obesity.\u003C\/p\u003E\u003Cp\u003ERehg said his research will investigate the use of wearable cameras to obtain measures of health-related behavior. For example, he and his students will measure how often people are exposed to tobacco advertising, smokers, and other known potential cues for relapse. For cognitive heart failure patients, they will measure such behaviors as eating and drinking to see if the subject might be in danger of exceeding certain health restrictions, such as salt intake.\u003C\/p\u003E\u003Cp\u003EAbowd will assist Kumar and the executive committee on the strategic direction of the center, such as linking to the general computer science research community and advising on commercialization opportunities. His research will explore the use of on-body sensing to support automated and semi-automated detection of relevant human activities, such as eating and drinking.\u003C\/p\u003E\u003Cp\u003EChau\u2019s work will involve \u0022explainable machine learning and data mining,\u201d which combines scalable computation, intuitive interactive techniques, and data visualization to help users best understand data from mobile and wearable sensors.\u003C\/p\u003E\u003Cp\u003EVisit\u0026nbsp;\u003Ca href=\u0022http:\/\/www.md2k.org\/\u0022\u003Ewww.MD2K.org\u003C\/a\u003E for additional information.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Tech computer scientists among researchers from 11 universities developing tools to gather and analyze health data generated by mobile and wearable sensors with $10.8 million NIH grant"}],"uid":"27998","created_gmt":"2014-10-09 11:21:17","changed_gmt":"2016-10-08 03:17:15","author":"Brittany Aiello","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-10-10T00:00:00-04:00","iso_date":"2014-10-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"11002","name":"Gregory Abowd"},{"id":"14419","name":"jim rehg"},{"id":"105881","name":"MD2K"},{"id":"2270","name":"National Institutes of Health"},{"id":"2076","name":"NIH"},{"id":"83261","name":"Polo Chau"},{"id":"114601","name":"Press Release"},{"id":"105891","name":"University of Memphis"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EPhillip Taylor\u003C\/p\u003E\u003Cp\u003ENews and Media Relations Manager\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:ptaylor@cc.gatech.edu\u0022\u003Eptaylor@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":["ptaylor@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}