{"641428":{"#nid":"641428","#data":{"type":"event","title":"PhD Proposal by Mohammad S. E. Sendi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EMohammad S. E. Sendi\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBME PhD Thesis\u0026nbsp;Proposal\u0026nbsp;\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u003C\/strong\u003E\u0026nbsp;12\/16\/2020\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp;3:00 pm\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBlueJeans link:\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/gatech.bluejeans.com\/151676567\u0022\u003E\u003Cstrong\u003Ehttps:\/\/gatech.bluejeans.com\/151676567\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMeeting ID:\u003C\/strong\u003E \u003Cstrong\u003E151676567\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAdvisor(s):\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Babak Mahmoudi\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Robert E. Gross\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee Members:\u003C\/strong\u003E\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Eva L. Dyer\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Svjetlana Miocinovic\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Helen S. Mayberg (Icahn School of Medicine at Mount Sinai)\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Jeffrey A. Herron (University of Washington)\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;optimal design of experiments for developing closed-loop neuromodulation systems\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOpen-loop deep brain stimulation (DBS) is a neurosurgical treatment that modulates the brain\u0026#39;s neural functioning by delivering an electrical signal using predefined stimulation parameters to a specific deep anatomical structure of the central nervous system. The new generation of DBS therapy, called closed-loop DBS, would reduce the side effects and increase DBS therapy\u0026#39;s efficacy by modulating the brain structure using optimized stimulation parameters. The current approach for finding the optimized stimulation parameters based on the grid-search is time-consuming, expensive, and even impossible in particular when the number of parameters scales up.\u0026nbsp; Active learning is a smart solution for designing an experiment in which human decision-making is less than optimal for the task. In more detail, active learning is a paradigm in which machine learning models can direct the learning process by providing dynamic suggestions\/queries for the \u0026ldquo;next-best experiment.\u0026rdquo; \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis project is aimed at developing a framework that leverages interpretable machine learning techniques for characterizing the neurophysiological effects of DBS (Aim1) and active learning techniques for the optimal design of closed-loop DBS control systems (Aim2). We would implement and validate the proposed framework in a translational experimental setup (Aim3).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"optimal design of experiments for developing closed-loop neuromodulation systems "}],"uid":"27707","created_gmt":"2020-11-18 21:35:25","changed_gmt":"2020-11-18 21:35:25","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-12-16T15:00:00-05:00","event_time_end":"2020-12-16T17:00:00-05:00","event_time_end_last":"2020-12-16T17:00:00-05:00","gmt_time_start":"2020-12-16 20:00:00","gmt_time_end":"2020-12-16 22:00:00","gmt_time_end_last":"2020-12-16 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}