{"690324":{"#nid":"690324","#data":{"type":"event","title":"PhD Defense by Moamen Soliman","body":[{"value":"\u003Cp\u003ETitle: Machine Learning Across the Critical Care Continuum: Sensing, Prediction, Treatment, and Faithful Explanation\u003C\/p\u003E\u003Cp\u003EDate: 05\/28\/2026\u003C\/p\u003E\u003Cp\u003ETime: 9:00 AM to 11:00 AM EDT\u003C\/p\u003E\u003Cp\u003ELocation: TSRB room 523A\u003C\/p\u003E\u003Cp\u003EVirtual link: \u003Ca href=\u0022https:\/\/teams.microsoft.com\/meet\/286236651306243?p=GJNt6ZfWFP7VluiuT3\u0022 target=\u0022_blank\u0022 title=\u0022Meeting join\u0022\u003Ehttps:\/\/teams.microsoft.com\/meet\/286236651306243?p=GJNt6ZfWFP7VluiuT3\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EMoamen Soliman\u003C\/p\u003E\u003Cp\u003EMachine Learning PhD Student\u003C\/p\u003E\u003Cp\u003ESchool of Electrical and Computer Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECommittee:\u003C\/p\u003E\u003Cp\u003EDr. Omer T. Inan (Advisor) \u2014 School of Electrical and Computer Engineering, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Rishikesan Kamaleswaran (Co-advisor) \u2014 Department of Surgery, School of Medicine, Duke University\u003C\/p\u003E\u003Cp\u003EDr. Thomas Ploetz \u2014 School of Interactive Computing, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. David Anderson \u2014 School of Electrical and Computer Engineering, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Gilles Clermont \u2014 School of Medicine, University of Pittsburgh\u003C\/p\u003E\u003Cp\u003EDr. Craig S. Jabaley \u2014 School of Medicine, Emory University\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAbstract\u003C\/p\u003E\u003Cp\u003EThis dissertation advances machine learning for critical care across sensing, prediction, treatment, and faithful explanation. A wearable chest patch with multimodal demodulation algorithms recovers respiratory mechanics from cardiomechanical signals without per-subject calibration. Building on this, septic shock onset is predicted from continuous physiological waveforms, first through a parsimonious bedside model and then through a multimodal fusion framework externally validated across two academic medical centers. Moving beyond prediction, XHemo pairs an offline reinforcement learning policy for fluid and vasopressor management with attribution-grounded large language model explanations, separating decision fidelity from explanatory faithfulness by anchoring generated reasoning to the same Integrated Gradients evidence the policy used. Together, these aims trace a continuum from measuring patient state to anticipating deterioration, recommending action, and explaining recommendations with traceable evidence, contributing methods toward more trustworthy clinical decision support for critical care.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMachine Learning Across the Critical Care Continuum: Sensing, Prediction, Treatment, and Faithful Explanation\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Machine Learning Across the Critical Care Continuum: Sensing, Prediction, Treatment, and Faithful Explanation"}],"uid":"27707","created_gmt":"2026-05-18 15:37:10","changed_gmt":"2026-05-18 15:37:42","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-05-28T09:00:00-04:00","event_time_end":"2026-05-28T11:00:00-04:00","event_time_end_last":"2026-05-28T11:00:00-04:00","gmt_time_start":"2026-05-28 13:00:00","gmt_time_end":"2026-05-28 15:00:00","gmt_time_end_last":"2026-05-28 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":"TSRB room 523A","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}