{"636196":{"#nid":"636196","#data":{"type":"news","title":"ML@GT Faculty Members Will Discuss Projects Related to Covid-19 Relief During Virtual Panel","body":[{"value":"\u003Cp\u003EThe coronavirus (Covid-19) pandemic has wreaked havoc on the world, spurring researchers across disciplines into action to help human-kind. Four researchers affiliated with the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech (ML@GT)\u003C\/a\u003E and one \u003Ca href=\u0022https:\/\/omscs.gatech.edu\/\u0022\u003EOnline Master of Science in Computer Science (OMSCS)\u003C\/a\u003E student examined different aspects of the virus\u0026rsquo; impact. From creating forecasting models to studying the psychological impact of the disease, these researchers are helping people understand the virus.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOn June 24, ML@GT faculty members \u003Cstrong\u003ESrijan Kumar \u003C\/strong\u003E(School of Computational Science and Engineering,) \u003Cstrong\u003EAditya Prakash \u003C\/strong\u003E(School of Computational Science and Engineering,) \u003Cstrong\u003EMunmun De Choudhury \u003C\/strong\u003E(School of Interactive Computing,) \u003Cstrong\u003ENicoleta Serban\u0026nbsp;\u003C\/strong\u003E(H. Milton Stewart School of Industrial and Systems Engineering,) and OMSCS student \u003Cstrong\u003EKenneth Miller\u003C\/strong\u003E will participate in a virtual panel discussing their work. The panel will be moderated by ML@GT executive director \u003Cstrong\u003EIrfan Essa\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPanelists will give individual presentations before participating in a general question-and-answer segment with audience members.\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EKumar and De Choudhury will share details of their work regarding the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/hg\/item\/635397\u0022\u003Epsychological impact of Covid-19\u003C\/a\u003E. Kumar will also discuss his work examining \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635858\/predicting-hate-crimes-targeting-asian-americans-amid-covid-19-outbreak\u0022\u003Ehate and counter-hate messages on Twitter against Asian Americans\u003C\/a\u003E during the pandemic.\u003C\/li\u003E\r\n\t\u003Cli\u003EPrakash is a member of the Center for Disease Control and Prevention\u0026rsquo;s (CDC) forecasting team, and will share their \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635849\/forecasting-covid-19-pandemic-united-states\u0022\u003Enew data-driven approach to disease forecasting\u003C\/a\u003E.\u003C\/li\u003E\r\n\t\u003Cli\u003ESerban\u0026rsquo;s presentation will focus on her work creating an \u003Ca href=\u0022https:\/\/www.georgiahealthnews.com\/2020\/05\/georgia-tech-model-predicts-spike-covid-cases-deaths\/\u0022\u003Eagent-based simulation\u0026nbsp;forecasting model\u003C\/a\u003E. This model captures the progression of the disease in an individual and in households, schools, communities, and workplaces.\u003C\/li\u003E\r\n\t\u003Cli\u003EA lawyer by day and OMSCS student by night, Miller participated in a Kaggle challenge using natural language processing and machine learning to \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635081\/omscs-student-uses-machine-learning-help-understand-covid-19\u0022\u003Ehelp doctors and scientists read the most important studies\u003C\/a\u003E related to Covid-19.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EThe panel will take place virtually via a Bluejeans Event at 11 a.m. on June 24 and is open to the public. \u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/sfpbpsgg\u0022\u003ERegistration is required\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Members of the ML@GT community will discuss their Covid-19 related research efforts in a panel discussion on June 24, 2020."}],"uid":"34773","created_gmt":"2020-06-12 13:40:53","changed_gmt":"2020-06-15 19:52:10","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-06-12T00:00:00-04:00","iso_date":"2020-06-12T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"636195":{"id":"636195","type":"image","title":"Members of the ML@GT community will discuss their Covid-19 related research efforts in a panel discussion on June 24, 2020.","body":null,"created":"1591969094","gmt_created":"2020-06-12 13:38:14","changed":"1591969094","gmt_changed":"2020-06-12 13:38:14","alt":"Members of the ML@GT community will discuss their Covid-19 related research efforts in a panel discussion on June 24, 2020.","file":{"fid":"242073","name":"Using Machine Learning to Respond to Covid-19.png","image_path":"\/sites\/default\/files\/images\/Using%20Machine%20Learning%20to%20Respond%20to%20Covid-19.png","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/Using%20Machine%20Learning%20to%20Respond%20to%20Covid-19.png","mime":"image\/png","size":504783,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Using%20Machine%20Learning%20to%20Respond%20to%20Covid-19.png?itok=7apCRAeq"}}},"media_ids":["636195"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"},{"id":"431631","name":"OMS"}],"categories":[],"keywords":[],"core_research_areas":[{"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\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}