{"id":2456,"date":"2020-10-05T11:33:11","date_gmt":"2020-10-05T15:33:11","guid":{"rendered":"https:\/\/carleton.ca\/sce\/?p=2456"},"modified":"2026-01-23T11:20:10","modified_gmt":"2026-01-23T16:20:10","slug":"carleton-university-systems-and-computer-engineering-online-wireless-seminars","status":"publish","type":"post","link":"https:\/\/carleton.ca\/sce\/2020\/carleton-university-systems-and-computer-engineering-online-wireless-seminars\/","title":{"rendered":"Carleton University \u2013 Systems and Computer Engineering Online Wireless Seminars"},"content":{"rendered":"\n<section class=\"w-screen px-6 cu-section cu-section--white ml-offset-center md:px-8 lg:px-14\">\n    <div class=\"space-y-6 cu-max-w-child-5xl  md:space-y-10 cu-prose-first-last\">\n\n            <div class=\"cu-textmedia flex flex-col lg:flex-row mx-auto gap-6 md:gap-10 my-6 md:my-12 first:mt-0 max-w-5xl\">\n        <div class=\"justify-start cu-textmedia-content cu-prose-first-last\" style=\"flex: 0 0 100%;\">\n            <header class=\"font-light prose-xl cu-pageheader md:prose-2xl cu-component-updated cu-prose-first-last\">\n                                    <h1 class=\"cu-prose-first-last font-semibold !mt-2 mb-4 md:mb-6 relative after:absolute after:h-px after:bottom-0 after:bg-cu-red after:left-px text-3xl md:text-4xl lg:text-5xl lg:leading-[3.5rem] pb-5 after:w-10 text-cu-black-700 not-prose\">\n                        Carleton University \u2013 Systems and Computer Engineering Online Wireless Seminars\n                    <\/h1>\n                \n                                \n                            <\/header>\n\n                    <\/div>\n\n            <\/div>\n\n    <\/div>\n<\/section>\n\n<p>Thursday, 08 October 2020, 12:00 noon &#8211; 1:00 pm EDT (Ottawa time)<\/p>\n\n\n\n<figure class=\"wp-block-embed\"><div class=\"wp-block-embed__wrapper\">\nhttps:\/\/zoom.us\/j\/95536198550\n<\/div><\/figure>\n\n\n\n<p>Big Data-Driven AI-based Wireless Networks Personalization<\/p>\n\n\n\n<p>Dr. Rawan Alkurd<br>\nData Scientist, Larus Technologies, Ottawa, Canada<br>\nPhD in Electrical and Computer Engineering, Carleton University<\/p>\n\n\n\n<p>There is a consensus that trends in emerging wireless technologies, such as explosive data requirements and proliferating services and applications, are creating serious issues for the management of user experience. This is due to the fact that, unlike Quality-of-Service (QoS), for which quantitative metrics are available such as packet error rate, it is difficult to analytically model and measure \u201cuser experience\u201d. Besides, the current communication networks use design methodologies that prevent the realization of maximum network efficiency. Therefore, more agile, intelligent, and flexible networks are required. Such networks should be capable of micro-managing resources in a way that meets each user&#8217;s service quality expectations while using a minimum amount of resources. This micro-management of network resources has ushered in the concept of wireless network personalization.<\/p>\n\n\n\n<p>In this talk, the concept of wireless network personalization will be presented.&nbsp; The utilization of Artificial Intelligence (AI), big data analytics, and real-time non-intrusive user feedback to enable the personalization of wireless networks will be discussed. Finally, since user privacy is a crucial concern, the utilization of Differential Privacy to preserve users\u2019 privacy in personalized wireless networks will be addressed.<\/p>\n\n\n\n<p>Bio: Rawan Alkurd received her Ph.D. degree in Electrical and Computer Engineering from the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada, in 2020, and her M.Sc. and B.Sc. degrees in Electrical Engineering from Khalifa University, UAE, in 2015 and 2013, respectively. In 2016, she received the Vanier Canada Graduate Scholarship. She is currently working as a Data Scientist at Larus Technologies, Ottawa, Canada. Her research interests include big data, artificial intelligence, machine learning, and their applications in various fields including wireless networks.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Thursday, 08 October 2020, 12:00 noon &#8211; 1:00 pm EDT (Ottawa time) Big Data-Driven AI-based Wireless Networks Personalization Dr. Rawan Alkurd Data Scientist, Larus Technologies, Ottawa, Canada PhD in Electrical and Computer Engineering, Carleton University There is a consensus that trends in emerging wireless technologies, such as explosive data requirements and proliferating services and applications, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[1],"tags":[],"class_list":["post-2456","post","type-post","status-publish","format-standard","hentry","category-news"],"acf":{"cu_post_thumbnail":"event-lecture"},"_links":{"self":[{"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/posts\/2456","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/comments?post=2456"}],"version-history":[{"count":1,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/posts\/2456\/revisions"}],"predecessor-version":[{"id":2457,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/posts\/2456\/revisions\/2457"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/media?parent=2456"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/categories?post=2456"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/tags?post=2456"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}