{"id":18286,"date":"2022-09-30T12:45:00","date_gmt":"2022-09-30T09:45:00","guid":{"rendered":"https:\/\/www.khas.edu.tr\/events\/mdbf-seminerleri-prof-dr-sinem-coleri\/"},"modified":"2025-04-18T12:50:03","modified_gmt":"2025-04-18T09:50:03","slug":"mdbf-seminerleri-prof-dr-sinem-coleri","status":"publish","type":"etkinlik","link":"https:\/\/www.khas.edu.tr\/en\/events\/mdbf-seminerleri-prof-dr-sinem-coleri\/","title":{"rendered":"MDBF Seminerleri \u2013 Prof. Dr. Sinem \u00c7\u00f6leri"},"content":{"rendered":"\n

M\u00fchendislik ve Do\u011fa Bilimleri Fak\u00fcltemizin d\u00fczenledi\u011fi webinar serisi kapsam\u0131nda, 30 Eyl\u00fcl Cuma saat 14.00\u2019te Ko\u00e7 \u00dcniversitesi\u2019nden Prof. Dr. Sinem Coleri, \u201cAI Based Machine-to-Machine Communications in 6G\u201d ba\u015fl\u0131kl\u0131 bir sunum yapacak.<\/p>\n\n

Fener Salonu\u2019nda ger\u00e7ekle\u015fecek etkinlik, ilgilenen herkesin kat\u0131l\u0131m\u0131na a\u00e7\u0131kt\u0131r.<\/p>\n\n

\u00d6zet:<\/strong>6G wireless solutions need to meet the anticipated demands of Machine-to-Machine (M2M) communications, with the total number of devices expected to be about 26 billion in 2026, according to the Ericsson Mobility Report. The wide variety of the requirements of massive M2M scenarios in terms of energy, reliability, delay, and throughput, and the inclusion of a new spectrum of control applications\u2014such as extended reality, remote surgery, autonomous vehicle platoons\u2014increase the complexity of M2M system design significantly. This high complexity can only be handled by developing artificial intelligence (AI) based communication techniques, technologies, and architectures while addressing the semantics of the control systems.In this talk, I will introduce extreme value theory-based channel modeling and communication techniques detecting rare events in ultra-reliable communication, together with federated learning techniques for channel estimation. Then, I propose machine learning-based channel modeling and communication approaches for the communication at high frequency bands, including THz, optical, and mmWave communication, to achieve higher accuracy while incorporating various system inputs. Moreover, an AI-based heterogeneous communication networking architecture is introduced to adapt the usage of the wide variety of networks and frequency bands to meet the requirements of the applications.In the second part of the talk, the fundamental paradigm shift from the Shannon paradigm is introduced. While the Shannon paradigm aims to guarantee the correct reception of each single transmitted bit\u2014irrespective of the meaning conveyed by transmitted bits\u2014communication for control applications focuses on guaranteeing the success of the task execution, such as plant stability for automated production lines or detection accuracy in cooperative vehicle systems. Novel resource allocation techniques for the joint design of control and communication systems, together with deep learning-based solutions, are presented.<\/p>\n\n

Konu\u015fmac\u0131 Hakk\u0131nda:<\/strong>Sinem Coleri is Professor in the Department of Electrical and Electronics Engineering at Ko\u00e7 University. She is also the founding director of the Wireless Networks Laboratory (WNL). Sinem Coleri received the B.S. degree in Electrical and Electronics Engineering from Bilkent University in 2000, and the M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences from the University of California, Berkeley, in 2002 and 2005, respectively. She worked as a research scientist in the Wireless Sensor Networks Berkeley Lab under sponsorship of Pirelli and Telecom Italia from 2006 to 2009. Since September 2009, she has been a faculty member in the Department of Electrical and Electronics Engineering at Ko\u00e7 University.Her research interests are in wireless communications and networking with applications in machine-to-machine communication, sensor networks, and intelligent transportation systems. Dr. Coleri has more than 150 peer-reviewed publications with citations over 9,600 (Google Scholar profile).She has received numerous awards and recognitions, including T\u00dcB\u0130TAK (The Scientific and Technological Research Council of Turkey) Incentive Award, IEEE Vehicular Technology Society 2020 Neal Shepherd Memorial Best Propagation Paper Award, College of Engineering Outstanding Faculty Award at Ko\u00e7 University, and IEEE Communications Letters Exemplary Editor Award as Area Editor in 2019. She was also selected as a Turkish Academy of Sciences Distinguished Young Scientist (T\u00dcBA-GEB\u0130P) in 2015.Dr. Coleri has been Area Editor of IEEE Communications Letters<\/em> and IEEE Open Journal of the Communications Society<\/em> since 2019, Editor of IEEE Transactions on Vehicular Technology<\/em> since 2016, and Senior Editor of IEEE Access<\/em> since 2022. She is an IEEE Fellow.<\/p>\n","protected":false},"featured_media":18281,"template":"","meta":{"slim_seo":{"title":"MDBF Seminerleri \u2013 Prof. Dr. Sinem \u00c7\u00f6leri - Kadir Has University","description":"M\u00fchendislik ve Do\u011fa Bilimleri Fak\u00fcltemizin d\u00fczenledi\u011fi webinar serisi kapsam\u0131nda, 30 Eyl\u00fcl Cuma saat 14.00\u2019te Ko\u00e7 \u00dcniversitesi\u2019nden Prof. Dr. Sinem Coleri, \u201cAI"}},"birimler":[72],"class_list":["post-18286","etkinlik","type-etkinlik","status-publish","has-post-thumbnail","hentry","birimler-ee"],"_links":{"self":[{"href":"https:\/\/www.khas.edu.tr\/en\/wp-json\/wp\/v2\/etkinlik\/18286","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.khas.edu.tr\/en\/wp-json\/wp\/v2\/etkinlik"}],"about":[{"href":"https:\/\/www.khas.edu.tr\/en\/wp-json\/wp\/v2\/types\/etkinlik"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.khas.edu.tr\/en\/wp-json\/wp\/v2\/media\/18281"}],"wp:attachment":[{"href":"https:\/\/www.khas.edu.tr\/en\/wp-json\/wp\/v2\/media?parent=18286"}],"wp:term":[{"taxonomy":"birimler","embeddable":true,"href":"https:\/\/www.khas.edu.tr\/en\/wp-json\/wp\/v2\/birimler?post=18286"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}