{"id":59809,"date":"2026-10-23T11:26:38","date_gmt":"2026-10-23T05:56:38","guid":{"rendered":"https:\/\/www.eng.ruh.ac.lk\/deie\/?p=59809"},"modified":"2026-10-23T11:50:50","modified_gmt":"2026-10-23T06:20:50","slug":"another-national-level-achievement-for-deie-faculty-of-engineering","status":"publish","type":"post","link":"https:\/\/www.eng.ruh.ac.lk\/deie\/another-national-level-achievement-for-deie-faculty-of-engineering\/","title":{"rendered":"Another National-Level Achievement for DEIE,  Faculty of Engineering !"},"content":{"rendered":"<p>The Faculty of Engineering, University of Ruhuna, is proud to announce that our undergraduate projects,<\/p>\n<ul>\n<li>\u201ciHeart: Multi-modal Cardiac Monitor for Emerging AI Health Applications\u201d &#8211; 1st Place<\/li>\n<li>\u201cThoraxis: Interpretable abnormality classification in volumetric chest CT using Dictionary Learning\u201d &#8211; 2nd Place<\/li>\n<\/ul>\n<p>secured 1st Place and the the 2nd Place at the Undergraduate Inventor of the Year (UIY) 2026, organized by The Institution of Engineers, Sri Lanka (IESL).<\/p>\n<p><strong>About the Innovation \u2013 iHeart<\/strong><\/p>\n<p>iHeart is a portable, AI-driven, multi-modal cardiac monitoring system that integrate<\/p>\n<p>s five sensing technologies: ECG, PCG, SCG, PPG, and Continuous-Wave Doppler Ultrasound. By incorporating AI-based anomaly detection, iHeart aims to support more comprehensive, accessible, and intelligent cardiac monitoring.<\/p>\n<p>Student Project Team: (Supervised by Prof. Arjuna Madanayake and Dr. Chathra Seneviratne)<\/p>\n<ul>\n<li><img loading=\"lazy\" class=\" wp-image-59813 alignright\" src=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.09.30-AM-300x225.jpeg\" alt=\"\" width=\"255\" height=\"191\" srcset=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.09.30-AM-300x225.jpeg 300w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.09.30-AM-1024x768.jpeg 1024w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.09.30-AM-768x576.jpeg 768w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.09.30-AM-1536x1152.jpeg 1536w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.09.30-AM-2048x1536.jpeg 2048w\" sizes=\"(max-width: 255px) 100vw, 255px\" \/>Suntharalingam Sivanujan<\/li>\n<li>Saminda Attanayake<\/li>\n<li>Kasunie Senevirathne<\/li>\n<li>Thivanka Wimalachandra<\/li>\n<\/ul>\n<p>This achievement adds to the team&#8217;s growing list of national-level recognitions in 2026:<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li>2nd Place \u2013 National AI Awards 2026, Innovation &amp; Future Focus Category \u2013 University AI Innovation Award.<\/li>\n<\/ul>\n<p><img loading=\"lazy\" class=\"size-medium wp-image-59814 alignright\" src=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.09.31-AM-300x169.jpeg\" alt=\"\" width=\"300\" height=\"169\" srcset=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.09.31-AM-300x169.jpeg 300w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.09.31-AM-1024x576.jpeg 1024w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.09.31-AM-768x432.jpeg 768w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.09.31-AM-1536x864.jpeg 1536w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.09.31-AM-2048x1152.jpeg 2048w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<ul>\n<li>1st Place \u2013 IEEE FYP Arena 2026, Biomedical Engineering &amp; Emerging Technologies Track.<\/li>\n<li>1st Place \u2013 IESL Undergraduate Inventor of the Year (UIY) 2026.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>About the innovation &#8211; Thoraxis:<\/strong><\/p>\n<p>In high-stakes fields like medicine, interpretability matters more than raw accuracy. Deep Learning models are black\u00a0boxes, that give a prediction but can\u2019t explain why. Thoraxis uses Dictionary Learning, where every diagnosis maps back to specific regions of a CT scan, so biomedical researchers can see exactly which<\/p>\n<p>&nbsp;<\/p>\n<p>underlying structure drove the decision.<\/p>\n<p>Student Project Team: (Supervised by Dr. Kaveen Liyanage and \u2060Ms. Sithara Madhubhashini)<\/p>\n<ul>\n<li>Chamuditha Kekulawala<img loading=\"lazy\" class=\"size-medium wp-image-59811 alignright\" src=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.57.04-AM-300x169.jpeg\" alt=\"\" width=\"300\" height=\"169\" srcset=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.57.04-AM-300x169.jpeg 300w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.57.04-AM-1024x576.jpeg 1024w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.57.04-AM-768x432.jpeg 768w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.57.04-AM.jpeg 1280w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/li>\n<li>Govindu Thejana<\/li>\n<li>Pasan Thrilakshana<\/li>\n<li>Yasiru Kularathna<\/li>\n<\/ul>\n<p>This achievement adds to the team\u2019s growing list of National-level recognitions in 2026:<\/p>\n<ul>\n<li>1st place &#8211; IEEE Final Year Project Arena, AI &amp; Data Science Track.<\/li>\n<li>2nd place &#8211; IESL Undergraduate Inventor of the Year (UIY) 2026.<\/li>\n<\/ul>\n<p><img loading=\"lazy\" class=\"size-medium wp-image-59812 alignright\" src=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.56.19-AM-300x169.jpeg\" alt=\"\" width=\"300\" height=\"169\" srcset=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.56.19-AM-300x169.jpeg 300w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.56.19-AM-1024x576.jpeg 1024w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.56.19-AM-768x432.jpeg 768w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2026\/10\/WhatsApp-Image-2026-10-23-at-10.56.19-AM.jpeg 1472w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Faculty of Engineering, University of Ruhuna, is proud to announce that our undergraduate projects, \u201ciHeart: Multi-modal Cardiac Monitor for Emerging AI Health Applications\u201d &#8211; 1st Place \u201cThoraxis: Interpretable abnormality classification in volumetric chest CT using Dictionary Learning\u201d &#8211; 2nd Place secured 1st Place and the the 2nd Place at the Undergraduate Inventor of the&hellip;<\/p>\n","protected":false},"author":14,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[91,122],"tags":[],"_links":{"self":[{"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/posts\/59809"}],"collection":[{"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/comments?post=59809"}],"version-history":[{"count":3,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/posts\/59809\/revisions"}],"predecessor-version":[{"id":59816,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/posts\/59809\/revisions\/59816"}],"wp:attachment":[{"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/media?parent=59809"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/categories?post=59809"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/tags?post=59809"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}