{"id":15246,"date":"2018-04-10T11:14:39","date_gmt":"2018-04-10T15:14:39","guid":{"rendered":"https:\/\/engineering.jhu.edu\/ece\/?p=15246"},"modified":"2021-07-07T11:12:02","modified_gmt":"2021-07-07T15:12:02","slug":"ece-students-share-research-at-2018-ibsi-conference","status":"publish","type":"news","link":"https:\/\/engineering.jhu.edu\/ece\/news\/ece-students-share-research-at-2018-ibsi-conference\/","title":{"rendered":"ECE students share research at 2018 ISBI Conference"},"content":{"rendered":"<p class=\"x_xmsonormal\">Three Johns Hopkins PhD students from the <a href=\"https:\/\/engineering.jhu.edu\/nsa\/\" target=\"_blank\" rel=\"noopener\">Neural Systems Analysis Laboratory<\/a> recently presented posters at the 2018 IEEE International Symposium on Biomedical Imaging (ISBI), held April 4-7 in Washington, D.C. ISBI is a scientific conference dedicated to mathematical, algorithmic, and computational aspects of biological and biomedical imaging, across all scales of observation.<\/p>\n<p class=\"x_xmsonormal\"><strong>Jeff Craley<\/strong>, <strong>Shimona D\u2019Souza<\/strong>, and <strong>Naresh Nandakumar<\/strong> (all from the Department of Electrical and Computer Engineering) prepared posters and shared their research with conference attendees from around the world.<\/p>\n<p class=\"x_xmsonormal\">The students presented posters on:<\/p>\n<ul>\n<li class=\"x_xmsonormal\">Jeff Craley \u2013 \u201cRobust Seizure Detection using Coupled Hidden Markov Models\u201d<\/li>\n<li class=\"x_xmsonormal\">Shimona D\u2019Souza \u2013 \u201cA Generative-Discriminative Basis Learning Framework to Predict Autism Spectrum Disorder Severity\u201d<\/li>\n<li class=\"x_xmsonormal\">Naresh Nandakumar \u2013 \u201cA Modified K-Means Algorithm for Resting State fMRI Analysis of Brain Tumor Patients as Validated by Language Localization\u201d<\/li>\n<\/ul>\n<p class=\"x_xmsonormal\">The Neural Systems Analysis Laboratory (NSA Lab) at Johns Hopkins University, directed by John C. Malone Assistant Professor <a href=\"https:\/\/engineering.jhu.edu\/faculty\/archana-venkataraman\/\">Archana Venkataraman<\/a>, focuses on building a comprehensive and system-level understanding of the brain by strategically integrating computational methods, such as network theory, signal processing and probabilistic inference, with application-driven hypotheses about the brain. Their work will yield new insights into debilitating neurological disorders, such as autism, epilepsy and schizophrenia, with the long-term goal of improving patient care.<\/p>\n","protected":false},"template":"","class_list":["post-15246","news","type-news","status-publish","hentry","news_categories-student-experience"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ECE students share research at 2018 ISBI Conference - Department of Electrical and Computer Engineering<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/ece\/news\/ece-students-share-research-at-2018-ibsi-conference\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ECE students share research at 2018 ISBI Conference - 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