{"506371":{"#nid":"506371","#data":{"type":"event","title":"Computational Health Seminar Series","body":[{"value":"\u003Cp\u003EThe next Computational Health Seminar will be a series of\u0026nbsp;presentations from\u0026nbsp;Georgia Tech faculty conducting\u0026nbsp;research on the topic. This seminar will be a time to\u0026nbsp;be educated about and\u0026nbsp;socialize\u0026nbsp;with faculty and students at Georgia Tech\u0026nbsp;pursuing research related to computational health.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/docs.google.com\/forms\/d\/1LeChnRBUCsnQlmO481SqowHAj3fuQRO09FbEDaOsM3Y\/viewform?c=0\u0026amp;w=1\u0022 target=\u0022_blank\u0022\u003ERSVP\u003C\/a\u003E\u003Cbr \/\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EGeorgia Tech Faculty Presenters\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EJimeng Sun\u003C\/strong\u003E (School of Computational Science \u0026amp; Engineering) \u2013 His research focuses on health analytics using electronic health records and data mining, especially in designing novel tensor analysis and similarity learning methods and developing large-scale predictive modeling systems. He has worked on various healthcare applications such as computational phenotyping from electronic health records, heart failure onset prediction and hypertension control management.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EJim Rehg\u003C\/strong\u003E (School of Interactive Computing) \u2013 He is Director of the Center for Behavioral Imaging and Deputy Director of the NIH Center of Excellence in Mobile Sensor Data-to-Knowledge. Dr. Rehg\u2019s research interests include computer vision, machine learning, behavioral imaging, and mobile health (mHealth).\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESrinivas Aluru\u003C\/strong\u003E (School of Computational Science \u0026amp; Engineering) - He co-leads the Georgia Tech Strategic Initiative in Data Engineering and Science. He conducts research in high performance computing, bioinformatics and systems biology, combinatorial scientific computing, and applied algorithms. He pioneered the development of parallel methods in computational biology, and contributed to the assembly and analysis of complex plant genomes.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMark Braunstein\u003C\/strong\u003E (School of Interactive Computing) \u2013 He is professor of the practice where he teaches health informatics and is involved in research aimed at wider and deeper adoption of health information technology to improve the quality and efficiency of care delivery. After receiving an MD from the Medical University of South Carolina (MUSC), Braunstein joined the faculties of Medicine and Pharmacy at MUSC where he developed an early fully functional ambulatory electronic medical record system and the first reported system for the clinical management of ambulatory pharmacies.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EGreg Gibson\u003C\/strong\u003E (School of Biology) \u2013 He is Director of the Center for Integrative Genomics. His group conducts systems genomics research, building on 15 years of quantitative genetic research in Drosophila, but now with a focus on human genomics. His group is primarily interested in the interaction between genotype and environment and the joint influences of these sources of variation on disease susceptibility and the evolution of disease.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EOmer Inan\u003C\/strong\u003E (School of Electrical and Computer Engineering) \u2013Dr. Inan is generally interested in designing clinically relevant medical devices and systems, and translating them from the lab to patient care applications. One strong focus of his research is in developing new technologies for monitoring chronic diseases at home, such as heart failure.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E (School of Computational Science \u0026amp; Engineering) \u2013 He is the Associate Chair for Academic Affairs in the School of CSE and the Director of CSE Graduate Programs. His lab is developing automated tools and techniques to tune, to analyze, and to debug software for parallel machines, including emerging high-end multi\/manycore architectures and accelerators. Their focus on applying these methods to CSE applications, which include computer-based simulation of natural and engineered systems and data analysis.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESeminar sponsored by the IDEAS for Computational Health at Georgia Tech \u003Ca href=\u0022http:\/\/www.computehealth.org\/\u0022 target=\u0022_blank\u0022\u003Ehttp:\/\/www.computehealth.org\/\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A series of presentations from Georgia Tech faculty conducting research on the topic."}],"uid":"27980","created_gmt":"2016-02-25 16:22:28","changed_gmt":"2017-04-13 21:16:29","author":"Alyson Key","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2016-03-02T14:00:00-05:00","event_time_end":"2016-03-02T16:00:00-05:00","event_time_end_last":"2016-03-02T16:00:00-05:00","gmt_time_start":"2016-03-02 19:00:00","gmt_time_end":"2016-03-02 21:00:00","gmt_time_end_last":"2016-03-02 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"69599","name":"IPaT"}],"categories":[],"keywords":[{"id":"168416","name":"computational health"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}