{"id":43382,"date":"2026-09-09T20:09:16","date_gmt":"2026-09-09T20:09:16","guid":{"rendered":"https:\/\/uomosul.edu.iq\/en\/computerscience\/?p=43382"},"modified":"2026-09-09T20:09:16","modified_gmt":"2026-09-09T20:09:16","slug":"1-729","status":"publish","type":"post","link":"https:\/\/uomosul.edu.iq\/en\/computerscience\/2026\/09\/09\/1-729\/","title":{"rendered":"PhD thesis by ”\u00a0\u00a0 Dhafar Sami Hammadi Hamdoon ” Department of Computer Science"},"content":{"rendered":"

PhD thesis by ”\u00a0\u00a0 Dhafar Sami Hammadi Hamdoon ” Department of Computer Science<\/p>\n

Discussion of PhD thesis in the College of Computer Science and Mathematics -Department of Computer Science entitled:<\/p>\n

“Integrating Real Time, AIoT and Circular Economy for Sustainable Manufacturing: Waste Management”<\/p>\n

By the student: “Dhafar Sami Hammadi Hamdoon”<\/p>\n

Under the supervision of: Prof. Dr. Dhuha Basheer Abdullah<\/p>\n

The thesis addressed:\u00a0\u00a0\u00a0 The development of an integrated Physical System Real-Time Edge Artificial Intelligence of Things) RT-EdgeAIoT (for solid waste management and sorting. It integrates deep learning algorithms with Internet of Things (IoT) systems to serve circular economy principles and meet sustainable manufacturing requirements.<\/p>\n

The thesis addressed:\u00a0\u00a0\u00a0\u00a0 The innovation of a lightweight neural network architecture (DH-DYOLOP) guided by a dynamic loss function (DACAL), and the development of a comprehensive dataset (USWDD-16) that categorizes waste into 16 classes. Additionally, it involved employing a Fuzzy Logic unit for the mechanical control of sorting mechanisms on edge computing devices (Raspberry Pi 4).<\/p>\n

The thesis aims to: Achieve precise, real-time automated sorting of diverse and hazardous waste within resource-constrained environments. By reducing the computational burden of AI models, it provides an applied solution that enhances the purity of recyclable materials and supports the infrastructure of smart cities.<\/p>\n

 <\/p>\n

This thesis achieves the following Sustainable Development Goals (SDGs):<\/p>\n

    \n
  1. SDG 3: Good Health and Well-being.<\/li>\n<\/ol>\n

     <\/p>\n

      \n
    1. SDG 9: Industry, Innovation and Infrastructure.<\/li>\n<\/ol>\n

       <\/p>\n

        \n
      1. SDG 11: Sustainable Cities and Communities.<\/li>\n<\/ol>\n

         <\/p>\n

          \n
        1. SDG 12: Responsible Consumption and Production.<\/li>\n<\/ol>\n

           <\/p>\n

            \n
          1. SDG 13: Climate Action.<\/li>\n<\/ol>\n

             <\/p>\n

            The discussion committee consists of:<\/p>\n

            Prof.Dr. Baydaa Ibraheem Khaleel (Chairman)<\/p>\n

            Prof.Dr. Saja Jasim Mohammed (Member)<\/p>\n

            Asst.Prof.Dr. Basim Mohammed Mahmood (Member)<\/p>\n

            Asst.Prof.Dr. Maiwan Bahjat Abdulrazzaq (Member)<\/p>\n

            Asst.Prof.Dr. Ashraf Abdulmunim Abdulmajeed (Member)<\/p>\n

            Prof. Dr. Dhuha Basheer Abdullah (Member and Supervisor)<\/p>\n","protected":false},"excerpt":{"rendered":"

            PhD thesis by ”\u00a0\u00a0 Dhafar Sami Hammadi Hamdoon ” Department of Computer Science Discussion of PhD thesis in the College of Computer Science and Mathematics -Department of Computer Science entitled: “Integrating Real Time, AIoT and Circular Economy for Sustainable Manufacturing: Waste Management” By the student: “Dhafar Sami Hammadi Hamdoon” Under the supervision of: Prof. Dr. Dhuha Basheer Abdullah The thesis addressed:\u00a0\u00a0\u00a0 The development of an integrated Physical System Real-Time Edge Artificial Intelligence of Things) RT-EdgeAIoT (for solid waste management and sorting. It integrates deep learning algorithms with Internet of Things (IoT) systems to serve circular economy principles and meet sustainable manufacturing [Read More]<\/a><\/p>\n","protected":false},"author":24,"featured_media":43383,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-43382","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-viva"],"_links":{"self":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts\/43382","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/users\/24"}],"replies":[{"embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/comments?post=43382"}],"version-history":[{"count":1,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts\/43382\/revisions"}],"predecessor-version":[{"id":43384,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts\/43382\/revisions\/43384"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/media\/43383"}],"wp:attachment":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/media?parent=43382"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/categories?post=43382"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/tags?post=43382"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}