{"id":2387,"date":"2002-09-15T18:08:14","date_gmt":"2002-09-15T22:08:14","guid":{"rendered":"https:\/\/engineering.jhu.edu\/magazine-archive\/?p=2387"},"modified":"2014-12-15T18:08:50","modified_gmt":"2014-12-15T23:08:50","slug":"eye-future","status":"publish","type":"post","link":"https:\/\/engineering.jhu.edu\/magazine-archive\/2002\/09\/eye-future\/","title":{"rendered":"An Eye for the Future"},"content":{"rendered":"<p><strong>Michael I. Miller and colleagues at the Center for Imaging Science are investigating research with some far-sighted applications.<\/strong><\/p>\n<figure id=\"attachment_2388\" class=\"wp-caption alignleft\" style=\"width: 271px\"><a href=\"https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2014\/08\/15001.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-2388\" src=\"https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2014\/08\/15001.jpg\" alt=\"\u201cIf you can build machines that can move things down to the nanometer, why can\u2019t we also have devices that can sense things and understand them?,\u201d asks Michael I. Miller, director of the Center for Imaging Science.\" width=\"261\" height=\"157\" \/><\/a><figcaption class=\"wp-caption-text\"><strong>\u201cIf you can build machines that can move things down to the nanometer, why can\u2019t we also have devices that can sense things and understand them?,\u201d asks Michael I. Miller, director of the Center for Imaging Science.<\/strong><\/figcaption><\/figure>\n<p>On the third floor of the Whiting School\u2019s Clark Hall, researchers are studying the theoretical underpinnings of how machines someday might understand what they see. Among these possibilities are identifying and tracking targets, analyzing medical images, sensing remote objects, precisely mapping the brain, and finding a fugitive\u2019s face in a packed stadium.<\/p>\n<p>The Center for Imaging Science (CIS) was established in 1998 as a dedicated research center within the Whiting School. In July 2001, CIS moved into Clark Hall as a new and vital participant in the Whitaker Biomedical Engineering Institute. The Department of Biomedical Engineering, a major part of this institute, coordinates research between the School of Medicine and the Whiting School.<\/p>\n<p>\u201cThe center is a very exciting place to be right now,\u201d observes CIS director Michael I. Miller. \u201cWe\u2019ve created the core of a top research center,\u201d he adds, thanks to the support of Ilene Busch-Vishniac, dean of the Whiting School; Murray B. Sachs, Massey Professor and director of the institute; and the departments of Biomedical Engineering, Electrical and Computer Engineering, and Mathematical Sciences.<\/p>\n<p>Imaging science, a relatively new field, involves the theoretical exploration of image understanding and analysis\u2014in short, what machines see when they \u201csee.\u201d Miller, who is also a professor of electrical and computer engineering and of biomedical engineering, compares the focus of imaging science to learning a language by studying grammar, syntax, and semantics. \u201cUltimately, language understanding can lead to speech recognition systems and computers that can actually listen to and understand what we\u2019re saying,\u201d Miller notes. \u201cIn imaging science, we work on getting machines first to understand that which composes images, and then to create meaning from this image as the possible basis for a response.\u201d<\/p>\n<p>The applications are still in an evolutionary stage. \u201cWe\u2019re not there yet,\u201d admits Miller. \u201cWe don\u2019t have machines that can scan a crowd and pick out a terrorist\u2019s face. But we\u2019re working on the principles right now that will allow a device to do that.\u201d He foresees a time when machines will routinely perform visual analyses, such as examining x-rays or MRI images and drawing conclusions.<\/p>\n<p>CIS focuses on three areas:<\/p>\n<p><strong>Research.<\/strong> CIS researchers confront issues in imaging science at their mathematical and algorithmic foundations, drawing from established research in statistics, computational vision, signal and systems processing, and information theory communities. Areas of investigation include image formation, image analysis, image representation and synthesis, image compression, and image understanding. CIS research is largely funded by federal agencies, including the National Institutes of Health (NIH), the Defense Advanced Research Projects Agency (DARPA), NASA, and the Office of Naval Research.<\/p>\n<p><strong>Education.<\/strong> CIS faculty play a key role in graduate education, since it goes hand-inhand with research. Faculty also may teach some undergraduate courses. The center enjoys a 6:1 ratio of graduate students to faculty. \u201cWe can leverage the national and international activities of the center to support a first-rate, state-of-the-art graduate educational program,\u201d Miller says. \u201cFor example, the center maintains a supercomputer that\u2019s in the top 500 in the world,\u201d and its presence \u201cleads to an educational component: graduate classes.\u201d<\/p>\n<p><strong>National and international service.<\/strong> \u201cComing from a first-rate institution like Johns Hopkins, we\u2019re expected to lead the future academic vision of the United States,\u201d Miller observes. CIS researchers are heavily involved in planning roles at NIH and DARPA. Professor Don Geman, of Mathematical Sciences, consults for the French educational system to formulate its curriculum in computer vision. The center also explores commercialization opportunities, including partnering through exclusive licensing of software and patent protection, research sponsorship, and consulting.<\/p>\n<p>Complex work? Absolutely\u2014but the research is already leading to tantalizing possibilities. Miller notes, \u201cOur projects in computational neuropsychiatry have really taken off.\u201d This five-year investigation, jointly shared by CIS and Washington University in St. Louis, looks at defining neuropsychiatric illnesses by studying images of the brain. The results would have direct applications as a clinical diagnostic tool for aging, Alzheimer\u2019s disease, and schizophrenia. CIS has completed pioneering work on a critical diagnosis of schizophrenia, based on the brain\u2019s hippocampus, a critical marker for normal and abnormal aging.<\/p>\n<p>Is CIS the center for imaging studies? While such metrics are difficult to establish, its director offers a benchmark. \u201cIf you look at our faculty and their achievements, we certainly have some of the strongest people in the world here,\u201d Miller says. \u201cIn that sense, we are one of the leading centers in the world.\u201d<\/p>\n<p>For more information, contact Michael I. Miller at mim@cis.jhu.edu or visit the web site at <strong>cis.jhu.edu<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Michael I. Miller and colleagues at the Center for Imaging Science are investigating research with some far-sighted applications. On the third floor of the Whiting School\u2019s Clark Hall, researchers are studying the theoretical underpinnings of how machines someday might understand what they see. Among these possibilities are identifying and tracking targets, analyzing medical images, sensing&#8230;<\/p>\n","protected":false},"author":4,"featured_media":2388,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[84],"tags":[],"class_list":["post-2387","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-high-perfomers","issue-fall-2002"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>An Eye for the Future - JHU Engineering Magazine<\/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\/magazine-archive\/2002\/09\/eye-future\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"An Eye for the Future - JHU Engineering Magazine\" \/>\n<meta property=\"og:description\" content=\"Michael I. Miller and colleagues at the Center for Imaging Science are investigating research with some far-sighted applications. On the third floor of the Whiting School\u2019s Clark Hall, researchers are studying the theoretical underpinnings of how machines someday might understand what they see. 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