{"id":973,"date":"2018-01-09T14:02:05","date_gmt":"2018-01-09T19:02:05","guid":{"rendered":"https:\/\/enbisys.ece.ncsu.edu\/?page_id=973"},"modified":"2026-05-02T14:59:29","modified_gmt":"2026-05-02T18:59:29","slug":"home","status":"publish","type":"page","link":"https:\/\/research.ece.ncsu.edu\/enbisys\/","title":{"rendered":"Engineering Computational Methodologies for Multi-hierarchical\u00a0Biological\u00a0Systems"},"content":{"rendered":"\n\n\n\n\n<figure class=\"wp-block-image alignwide size-large aligncenter\"><a href=\"https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2023\/08\/enbisys.jpg\" data-fullsize=\"2415x852\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"361\" src=\"https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2023\/08\/enbisys-1024x361.jpg\" alt=\"Diagram showing interconnected components of modern agriculture research: management (tractor), phenotyping (thermometer and plant), machine learning (data filtering), irrigation system, weather (rain cloud), genomics (DNA and chemical structure), automation (drone and circuit board), transcriptomics (scatter plot), and cloud computing (server with upload\/download arrows).\" class=\"wp-image-2067\" srcset=\"https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2023\/08\/enbisys-1024x361.jpg 1024w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2023\/08\/enbisys-300x106.jpg 300w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2023\/08\/enbisys-768x271.jpg 768w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2023\/08\/enbisys-1536x542.jpg 1536w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2023\/08\/enbisys-2048x723.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n\n\n<p class=\"has-gray-90-color has-text-color\">The complex challenges our global community is facing transcend the scope of a single discipline, requiring integrative and collaborative approaches to identify technological solutions. As technology advances at a rapid pace, unprecedented amounts of data are being collected across&nbsp;the life sciences. However, currently very few can use this data to its maximum potential. Harnessing big data is essential to our ability to make real-time, informed decisions that lead to practical solutions.&nbsp;<\/p>\n\n\n\n<p class=\"has-gray-90-color has-text-color\">Through interdisciplinary plant science and agriculture data analytics, the EnBiSys (<strong>En<\/strong>gineering Computational Methodologies for Multi-hierarchical&nbsp;<strong>Bi<\/strong>ological&nbsp;<strong>Sys<\/strong>tems) Lab translates research findings to real-world results through the development of targeted computational and analytical solutions for modeling and controlling biological systems. We use <strong>multiscale systems modeling<\/strong> to <strong>advance<\/strong> the comprehensive understanding of emergent properties in biological and agricultural systems. <\/p>\n\n\n\n\n\n\n\n\n\n\n\n<h2 class=\"wp-block-heading\">Research Goals<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Model biological process\u00a0<strong>across scale<\/strong><\/li>\n\n\n\n<li>Predict the impact of\u00a0<strong>internal<\/strong>\u00a0(genetic) and\u00a0<strong>external<\/strong>\u00a0(stress) factors<\/li>\n\n\n\n<li>Advance technologies for\u00a0<strong>translating research findings\u00a0<\/strong>to field results<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Potential Impact<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Improve\u00a0<strong>tolerance<\/strong>\u00a0of crop plants to pathogens and abiotic stresses<\/li>\n\n\n\n<li>Increase the\u00a0<strong>efficiency of biofuel production\u00a0<\/strong>from plant biomass<\/li>\n\n\n\n<li>Address\u00a0<strong>food security<\/strong>\u00a0challenges<\/li>\n<\/ul>\n\n\n<div class=\"ncst-askew-media-text has-custombg-one-background-color mirror-layout wp-block-ncst-mini-story\">\n    <div class=\"ncst-askew-media-text__container\">\n      \n<div class=\"wp-block-ncst-text-column\">\n    <h2 class=\"ncst-text-column__heading\">EnBiSys Lab Research<\/h2>\n    <p class=\"ncst-text-column__teaser\">Our work is solution-focused and data-driven.<\/p>\n          \n<div class=\"is-text wp-block-ncst-buttons\">\n    \n<div class=\"is-style-secondary wp-block-ncst-button\">\n      <a\n        class=\"ncst-block__button-link btn\"\n        href=\"https:\/\/research.ece.ncsu.edu\/enbisys\/research\/\"\n        data-ncst-lightbox=\"false\"\n                      >\n                  <span class=\"text\">Explore Research<\/span><span class=\"arrow-indicator\"><svg class=\"wolficon wolficon-arrow-right-bold\" role=\"img\"  aria-hidden=\"true\">\n\t\t\t\n\t\t\t<use xlink:href=\"#wolficon-arrow-right-bold\">\n\t\t<\/svg><\/span>\n              <\/a>\n    <\/div>\n  \n\n  <\/div>\n\n\n      <\/div>\n\n\n<div class=\"wp-block-ncst-media\">\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/high-throughput-phenotyping-tomato-scaled.jpg\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1439\" src=\"https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/high-throughput-phenotyping-tomato-edited-scaled.jpg\" alt=\"EnBiSys lab member imaging a tomato plant with a ZED Mini stereovision camera in a light box.\" class=\"wp-image-2409\" srcset=\"https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/high-throughput-phenotyping-tomato-edited-scaled.jpg 2560w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/high-throughput-phenotyping-tomato-edited-300x169.jpg 300w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/high-throughput-phenotyping-tomato-edited-1024x576.jpg 1024w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/high-throughput-phenotyping-tomato-edited-768x432.jpg 768w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/high-throughput-phenotyping-tomato-edited-1536x863.jpg 1536w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/high-throughput-phenotyping-tomato-edited-2048x1151.jpg 2048w\" sizes=\"auto, (max-width: 1500px) 100vw, 1500px\" \/><\/a><\/figure>\n\n<\/div>\n\n    <\/div>\n  <\/div>\n\n\n<div class=\"ncst-askew-media-text has-custombg-one-background-color wp-block-ncst-mini-story\">\n    <div class=\"ncst-askew-media-text__container\">\n      \n<div class=\"wp-block-ncst-text-column\">\n    <h2 class=\"ncst-text-column__heading\">Meet Our Team<\/h2>\n    <p class=\"ncst-text-column__teaser\">See the faculty, graduate students, post-docs and alumni behind the work being conducted by the EnBiSys Lab.<\/p>\n          \n<div class=\"is-text wp-block-ncst-buttons\">\n    \n<div class=\"is-style-secondary wp-block-ncst-button\">\n      <a\n        class=\"ncst-block__button-link btn\"\n        href=\"https:\/\/research.ece.ncsu.edu\/enbisys\/team\/\"\n        data-ncst-lightbox=\"false\"\n                      >\n                  <span class=\"text\">Meet Our Team<\/span><span class=\"arrow-indicator\"><svg class=\"wolficon wolficon-arrow-right-bold\" role=\"img\"  aria-hidden=\"true\">\n\t\t\t\n\t\t\t<use xlink:href=\"#wolficon-arrow-right-bold\">\n\t\t<\/svg><\/span>\n              <\/a>\n    <\/div>\n  \n\n  <\/div>\n\n\n      <\/div>\n\n\n<div class=\"wp-block-ncst-media\">\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/Enbisys-lab-team-min.png\"><img loading=\"lazy\" decoding=\"async\" width=\"2000\" height=\"1125\" src=\"https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/Enbisys-lab-team-min-edited.png\" alt=\"EnBiSys Lab team standing together outside\" class=\"wp-image-2410\" srcset=\"https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/Enbisys-lab-team-min-edited.png 2000w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/Enbisys-lab-team-min-edited-300x169.png 300w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/Enbisys-lab-team-min-edited-1024x576.png 1024w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/Enbisys-lab-team-min-edited-768x432.png 768w, https:\/\/research.ece.ncsu.edu\/enbisys\/wp-content\/uploads\/sites\/14\/2026\/05\/Enbisys-lab-team-min-edited-1536x864.png 1536w\" sizes=\"auto, (max-width: 1500px) 100vw, 1500px\" \/><\/a><\/figure>\n\n<\/div>\n\n    <\/div>\n  <\/div>\n","protected":false},"excerpt":{"rendered":"<p>The complex challenges our global community is facing transcend the scope of a single discipline, requiring integrative and collaborative approaches to identify technological solutions. As technology advances at a rapid pace, unprecedented amounts of data are being collected across&nbsp;the life sciences. However, currently very few can use this data to its maximum potential. Harnessing big&hellip;<\/p>\n","protected":false},"author":69,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"ncst_dynamicHeaderBlockName":"ncst\/default-header","ncst_dynamicHeaderData":"{\"pageIntro\":\"<em><strong>Driving the Next Revolution in Plant Science and Agriculture Data Analytics<\/strong><\/em>\"}","ncst_content_audit_freq":"","ncst_content_audit_date":"","ncst_content_audit_display":false,"ncst_backToTopFlag":"","footnotes":""},"class_list":["post-973","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Engineering Computational Methodologies for Multi-hierarchical\u00a0Biological\u00a0Systems - EnBiSys Lab<\/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:\/\/research.ece.ncsu.edu\/enbisys\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Engineering Computational Methodologies for Multi-hierarchical\u00a0Biological\u00a0Systems - EnBiSys Lab\" \/>\n<meta property=\"og:description\" content=\"The complex challenges our global community is facing transcend the scope of a single discipline, requiring integrative and collaborative approaches to identify technological solutions. As technology advances at a rapid pace, unprecedented amounts of data are being collected across&nbsp;the life sciences. However, currently very few can use this data to its maximum potential. 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