BEGIN:VCALENDAR VERSION:2.0 PRODID:-//IEEE Toronto Section - ECPv6.15.17//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://www.ieeetoronto.ca X-WR-CALDESC:Events for IEEE Toronto Section REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20221106T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20231105T060000 END:STANDARD END:VTIMEZONE BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:+0000 TZNAME:UTC DTSTART:20200101T000000 END:STANDARD END:VTIMEZONE BEGIN:VTIMEZONE TZID:America/Toronto BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20170312T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20171105T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20180311T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20181104T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20190310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20191103T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20221106T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20221215T120000 DTEND;TZID=America/New_York:20221215T130000 DTSTAMP:20260427T152026 CREATED:20221210T202547Z LAST-MODIFIED:20230402T174252Z UID:10000592-1671105600-1671109200@www.ieeetoronto.ca SUMMARY:Paving the Way Towards Mobile IAB: Problems\, Solutions and Challenges DESCRIPTION:5G networks are being designed and deployed considering a dense deployment of small cells in order to simultaneously serve more users with higher throughput and lower delay. However\, building from scratch a completely new infrastructure is costly and takes time. Deploying access and backhaul as wireless links\, a.k.a. integrated access and backhaul (IAB)\, is envisioned as a viable approach to enable flexible and dense networks. Even further\, mobile IAB (mIAB) is a candidate solution to enhance the connectivity of users moving together. Motivated by this\, in this talk\, we firstly present the basic architecture of IAB. Then\, we provide the main use cases of mIAB. After that\, an extensive performance analysis is presented. Passengers and pedestrians quality of service is evaluated. Moreover\, results related to the wireless backhaul are also presented. The mIAB scenario is compared to two benchmark solutions\, i.e.\, a scenario with only macro gNBs and a scenario with macro and pico gNBs fiber-connected to the core network. Finally\, we summarize the lessons learned and list some open issues and future directions.\nSpeaker(s): Victor Monteiro\, Francisco Rafael Lima\nVirtual: https://events.vtools.ieee.org/m/337093 URL:https://www.ieeetoronto.ca/event/paving-the-way-towards-mobile-iab-problems-solutions-and-challenges/ LOCATION:Virtual: https://events.vtools.ieee.org/m/337093 CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221208T100000 DTEND;TZID=America/New_York:20221208T113000 DTSTAMP:20260427T152026 CREATED:20221124T180210Z LAST-MODIFIED:20230402T174950Z UID:10000589-1670493600-1670499000@www.ieeetoronto.ca SUMMARY:Algorithms & protocols joint coms\, localization\, sensing by Dr. George Alexandropoulos DESCRIPTION:Title: Reconfigurable intelligent surfaces: Communications\, sensing\, and their integration\nAbstract: The advent of the connected things paradigm within 5G wireless communications enabled various sophisticated applications\, whose evolution paves the way for the notion of the connected intelligence of everything in 6G networks. Recent speculations for this upcoming new generation push the 5G performance indicators to unprecedented levels\, envisioning THz frequency bands\, devices with embedded sensing capabilities\, and native AI. All these are expected to become a reality around 2030 and with a strong green footprint. In this talk\, we will elaborate around the emerging technology of Reconfigurable Intelligent Surfaces (RISs) which is provisioned as the enabler of smart wireless environments\, offering a highly scalable\, low-cost\, hardware-efficient\, and almost energy-neutral solution for the dynamic control of the propagation of electromagnetic signals. We will discuss their evolution from programmable reflecting metamaterials to connected computational- and power-autonomous hybrid metasurfaces\, emphasizing on the state-of-the-art approaches for RIS-empowered communications\, localization\, and sensing.\nShort Biography: George C. Alexandropoulos received the Engineering Diploma\, M.A.Sc.\, and Ph.D. degrees in Computer Engineering and Informatics from the School of Engineering\, University of Patras\, Greece in 2003\, 2005\, and 2010\, respectively. He has held research positions at various Greek universities and research institutes\, as well as at the Mathematical and Algorithmic Sciences Lab\, Paris Research Center\, Huawei Technologies France\, and he is currently an Assistant Professor with the Department of Informatics and Telecommunications\, School of Sciences\, National and Kapodistrian University of Athens (NKUA)\, Greece. He also serves as a Principal Researcher for the Technology Innovation Institute\, Abu Dhabi\, United Arab Emirates. His research interests span the general areas of algorithmic design and performance analysis for wireless networks with emphasis on multi-antenna transceiver hardware architectures\, active and passive Reconfigurable Intelligent Surfaces (RISs)\, integrated communications and sensing\, millimeter wave and THz communications\, as well as distributed machine learning algorithms. He currently serves as an Editor for IEEE Transactions on Communications\, IEEE Wireless Communications Letters\, ELSEVIER Computer Networks\, Frontiers in Communications and Networks\, and the ITU Journal on Future and Evolving Technologies. In the past\, he has held various fixed-term and guest editorial positions for IEEE Transactions on Wireless Communications and IEEE Communications Letters\, as well as for various special issues at IEEE journals. Prof. Alexandropoulos is a Senior Member of the IEEE Communications\, Signal Processing\, and Information Theory Societies\, the vice-chair of the (https://eurasip.org/technical-area-committees/)\, as well as a registered Professional Engineer of the Technical Chamber of Greece. He is also a Distinguished Lecturer of the IEEE Communications Society. He has participated and/or technically managed more than 15 European Union (EU)\, international\, and Greek research\, innovation\, and development projects. He is currently NKUA’s principal investigator for the EU H2020 RISE‑6G and the SNS JU TERRAMETA projects dealing with RIS-empowered smart wireless environments and THz RISs\, respectively. For the former project he also serves as the dissemination manager\, whereas for the latter\, he also serves as the project’s technical manager. Prof. Alexandropoulos has received the best Ph.D. thesis award 2010\, the IEEE Communications Society Best Young Professional in Industry Award 2018\, the EURASIP Best Paper Award of the Journal on Wireless Communications and Networking 2021\, the IEEE Marconi Prize Paper Award in Wireless Communications 2021\, and a Best Paper Award from the IEEE GLOBECOM 2021. More information is available at www.alexandropoulos.info.\nCo-sponsored by: Tamseel Mahmood – syed.tamseel@ieee.org\nSpeaker(s): Dr. Alexandropoulos\,\nVirtual: https://events.vtools.ieee.org/m/333747 URL:https://www.ieeetoronto.ca/event/algorithms-protocols-joint-coms-localization-sensing-by-dr-george-alexandropoulos/ LOCATION:Virtual: https://events.vtools.ieee.org/m/333747 CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221207T110000 DTEND;TZID=America/New_York:20221207T120000 DTSTAMP:20260427T152026 CREATED:20221121T174554Z LAST-MODIFIED:20230402T175003Z UID:10000587-1670410800-1670414400@www.ieeetoronto.ca SUMMARY:Future Communications R&D Programme in Singapore DESCRIPTION:Communications and connectivity have become the critical foundational technology that supports Singapore’s economy. Singapore has invested close to S$70 million through the launch of Singapore’s first national Future Communications Research and Development Programme (FCP)\, to jumpstart cutting-edge communications and connectivity research. This grows local capability\, to translate into innovative products\, services and companies. The programme is hosted by the Singapore University of Technology and Design. FCP encourages collaboration between industry and research ecosystem. It will provide easy access to testbeds to facilitate development of 5G and future communication technologies. FCP seeks to collaborate with R&D partners both domestically and internationally to explore different opportunities to advance capabilities in future communications.\nSpeaker(s): Tony Quek \,\nRoom: BA 1180\, Bldg: Bahen Centre\, 40 St George St\, Toronto\, Ontario\, Canada URL:https://www.ieeetoronto.ca/event/future-communications-rd-programme-in-singapore/ LOCATION:Room: BA 1180\, Bldg: Bahen Centre\, 40 St George St\, Toronto\, Ontario\, Canada CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220616T120000 DTEND;TZID=America/New_York:20220616T130000 DTSTAMP:20260427T152026 CREATED:20220607T203354Z LAST-MODIFIED:20230402T171419Z UID:10000545-1655380800-1655384400@www.ieeetoronto.ca SUMMARY:Backhaul Solutions for 6G Using Hybrid FSO/THz Communication Systems DESCRIPTION:The IEEE Toronto Chapter is delighted to host Dr. Behrooz Makki\, a Senior Researcher with Ericsson Research\, Gothenburg\, Sweden. In his work\, Dr. Behroooz studies the potentials and the challenges of hybrid free-space optics (FSO)/ terahertz (THz) based communications as a potential tool for high-rate reliable backhauling in 6G. He studies the effect of different data transmission models and parameters such as atmospheric turbulence and pointing error impairments on the performance of FSO/THz systems\, and compares the results with those obtained in the cases with only the FSO or the THz links. The presented results indicate that\, with a proper switching method\, the joint implementation of the FSO/THz links improves the rate/reliability of the backhaul links with limited switching overhead.\nSpeaker(s): Behrooz Makki\,\nVirtual: https://events.vtools.ieee.org/m/316378 URL:https://www.ieeetoronto.ca/event/backhaul-solutions-for-6g-using-hybrid-fso-thz-communication-systems/ LOCATION:Virtual: https://events.vtools.ieee.org/m/316378 CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220504T160000 DTEND;TZID=America/New_York:20220504T173000 DTSTAMP:20260427T152026 CREATED:20220502T172244Z LAST-MODIFIED:20220505T073259Z UID:10000352-1651680000-1651685400@www.ieeetoronto.ca SUMMARY:Conceiving Noise: Transformation from Disturbing Sounds to Informational Errors\, 1900-1955 DESCRIPTION:The Communications Group at the University of Toronto\, in collaboration with the IEEE Communications Society\, Toronto Chapter are happy to host the seminar titled “Conceiving Noise: Transformation from Disturbing Sounds to Informational Errors\, 1900-1955” given by Prof. Chen-Pang Yeang\, from the Institute for the History and Philosophy of Science and Technology\, University of Toronto. \nIn this talk\, Prof. Yeang examine the historical origin of the attempts to understand\, control\, and use noise at modern times.  Today\, the concept of noise is employed to characterize random fluctuations in general.  Before the twentieth century\, however\, noise only meant disturbing sounds.  In the 1900s-50s\, noise underwent a conceptual transformation from unwanted sounds that needed to be domesticated into a synonym for errors and deviations on all kinds of signals and information. Prof. Yeang argue that this transformation proceeded in four stages.  The rise of sound reproduction technologies—phonograph\, telephone\, and radio—in the 1900s-20s prompted engineers to tackle unwanted sounds as physical effects of media through quantitative representations and measurements.  Around the same time\, physicists developed a theory of Brownian motions for random fluctuations and applied it to electronic noise in thermionic tubes of telecommunication systems.  These technological and scientific backgrounds led to three distinct theoretical treatments of noise in the 1920s-30s: statistical physicists’ studies of Brownian fluctuations’ temporal evolution\, radio engineers’ spectral analysis of atmospheric disturbances\, and mathematicians’ measure-theoretic formulation.  Finally\, during and after World War II\, researchers working on the military projects of radar\, gunfire control\, and secret communications converted the interwar theoretical studies of noise into tools for statistical detection\, estimation\, prediction\, and information transmission.  In so doing\, they turned noise into an informational concept.  Since the grappling of noise involved multiple disciplines\, its history sheds light on the interactions between physics\, mathematics\, mechanical technology\, electrical engineering\, and information and data sciences in the twentieth century. \nSpeaker(s): Prof. Chen-Pang Yeang \nRegister: https://events.vtools.ieee.org/m/313075 \nBiography: Prof. Chen-Pang Yeang is an associate professor at the Institute for the History and Philosophy of Science and Technology\, University of Toronto.  Trained both in electrical engineering and the history of science and technology\, he does research and teaching in the history of physics\, electrical engineering\, information and computer science and technology in the 20th and 21st centuries.  He published Probing the Sky with Radio Waves: From Wireless Technology to the Development of Atmospheric Science (University of Chicago Press\, 2013).  He is completing a book on the history of noise.  In addition\, he is undertaking a research project that uses the material replication of Heinrich Hertz’s radio-wave experiment as a means of historical inquiry\, and another project on the grassroots innovation in information and computing technology in the US and China. URL:https://www.ieeetoronto.ca/event/conceiving-noise-transformation-from-disturbing-sounds-to-informational-errors-1900-1955/ LOCATION:Virtual: https://events.vtools.ieee.org/m/313075 CATEGORIES:Communications ORGANIZER;CN="IEEE Toronto Communications Chapter":MAILTO:Toronto_Chapter@comsoc.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220329T190000 DTEND;TZID=America/New_York:20220329T201500 DTSTAMP:20260427T152026 CREATED:20220330T181530Z LAST-MODIFIED:20220330T181530Z UID:10000510-1648580400-1648584900@www.ieeetoronto.ca SUMMARY:Integration of Terrestrial Networks and Extreme Environments: Challenges and Capabilities DESCRIPTION:The IEEE ComSoc New York Chapter a long with the IEEE ComSoc Toronto chapter are organizing a series of technical seminars. We invite researchers and professionals to share their latest work on a variety of topics in communications and related areas. This time\, we have the great pleasure to invite Prof. Mehdi Rahmati from Cleveland State University to talk about the integration of terrestrial networks and extreme environments. \nAgenda: \n06:45 PM – 07:00 PM Connecting to the ZOOM meeting\n07:00 PM – 07:05 PM Welcoming & IEEE ComSoc Membership Promotion\n07:05 PM – 07:10 PM Speaker Introduction\n07:10 PM – 07:55 PM Presentation\n07:55 PM – 08:10 PM Questions and Answers\n08:10 PM – 08:15 PM Closing Remarks \nVirtual: https://events.vtools.ieee.org/m/308601 URL:https://www.ieeetoronto.ca/event/integration-of-terrestrial-networks-and-extreme-environments-challenges-and-capabilities/ LOCATION:Virtual: https://events.vtools.ieee.org/m/308601 CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20211029T200000 DTEND;TZID=UTC:20211029T210000 DTSTAMP:20260427T152026 CREATED:20210922T135118Z LAST-MODIFIED:20211128T135459Z UID:10000463-1635537600-1635541200@www.ieeetoronto.ca SUMMARY:IEEE Virtual Distinguished Lecturer (VDL) Talk: "Connecting Space Assets to the Internet: Challenges and Solutions" DESCRIPTION:The IEEE Communications Society (ComSoc) promotes the advancement of science\, technology and applications in communications and related disciplines. It fosters presentation and exchange of information among its members and the technical community throughout the world. The Society maintains a high standard of professionalism and technical competency. The IEEE Communications Society is a professional society of the IEEE. The IEEE ComSoc New York Chapter is organizing a series of technical seminars for the New York area IEEE members and the general public. We invite researchers and professionals to share their latest work on a variety of topics in communications and related areas. This is the fifth seminar of the series. Together with our fellow IEEE ComSoc Chapters\, we have the great pleasure to invite Dr. Mohammed Atiquzzaman\, an IEEE Distinguished Lecturer\, to talk about the interesting\, exciting and yet challenging task of connecting spacecrafts to the Internet. Speaker(s): Prof. Mohammed Atiquzzaman\, Agenda: 07:45 PM – 08:00 PM: Connecting to the ZOOM meeting 08:00 PM – 08:05 PM: Welcoming & IEEE ComSoc Membership Promotion 08:05 PM – 08:10 PM: Speaker Introduction 08:10 PM – 09:00 PM: Presentation (50 minutes) 09:00 PM – 09:10 PM: Questions and Answers (10 minutes) 09:10 PM – 09:15 PM: Closing Remarks Virtual: https://events.vtools.ieee.org/m/282376 URL:https://www.ieeetoronto.ca/event/ieee-virtual-distinguished-lecturer-vdl-talk-connecting-space-assets-to-the-internet-challenges-and-solutions/ LOCATION:Virtual: https://events.vtools.ieee.org/m/282376 CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20210908T173000 DTEND;TZID=UTC:20210908T183000 DTSTAMP:20260427T152026 CREATED:20210805T093727Z LAST-MODIFIED:20220105T230920Z UID:10000451-1631122200-1631125800@www.ieeetoronto.ca SUMMARY:Engineering Skills and Education for the Digital Era DESCRIPTION:The IEEE Toronto Chapter (ComSoc/BTS)\, the IEEE Ottawa Joint Chapter of Communications Society\, Consumer Technology Society\, and Broadcast Technology Society (ComSoc/CTSoc/BTS)\, IEEE ComSoc Montreal Chapter (ComSoc)\, IEEE Ottawa and Toronto Women In Engineering (WIE) Chapters along with the IEEE Ottawa\, Southern Alberta and Canadian Atlantic Young Professionals (YP) Chapters are thrilled to host Dr. Tom Murad\, the Vice Chair\, Ontario Society of Professional Engineers Board of Directors. Dr. Murad is currently the Country Lead for Engineering and Technology for Siemens Mobility. In this talk\, we look forward to Dr. Murad as he shares his reflections on the fundamental engineering skills and education requirements for the digital era. \nSpeaker(s): Dr. Tom Murad URL:https://www.ieeetoronto.ca/event/engineering-skills-and-education-for-the-digital-era/ LOCATION:Virtual: https://events.vtools.ieee.org/m/278972 CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20210726T120000 DTEND;TZID=UTC:20210726T133000 DTSTAMP:20260427T152026 CREATED:20210719T075927Z LAST-MODIFIED:20220105T230047Z UID:10000450-1627300800-1627306200@www.ieeetoronto.ca SUMMARY:Flexible Radio Access Beyond 5G: A Future Projection DESCRIPTION:Dr Arslan has graciously offered to continue the discussion on 5G technologies. The topic is Flexible Radio Access Beyond 5G: A Future Projection. \nAbstract: \nToday’s wireless services and systems have come a long way since the rollout of the conventional voice-centric cellular systems. The demand for wireless access in voice and multi-media applications has increased tremendously. The trend on the variety and the number of mobile devices along with the mobile applications will certainly continue beyond 5G\, creating a wide range of technical challenges. One of the biggest challenges is the security of the communication beyond the classical crypto based approaches which secure the information. In this talk\, security aspects of the physical communication and also physical signal which is called Physical Layer Security (PHY Security) will be discussed. Latest trends\, threats\, and techniques to improve the security of the physical signal will be discussed. The tentative outline of the talk will be as follows: \n\nWireless Communication trends\, requirements\nImportance of secure communication\nClassification of communication security\nPHY security: Communication and REM\nPHY security: Eavesdropping\, Spoofing & Jamming\nAnti-jamming capable communication\nCross-layer security – Secure communication & other advanced radio access technologies\n\nCase- studies\na- Security in URLLC (URLL & Secure communication)\nb- Security in vehicular network (V2V and V2I)\nc- Security in NOMA d- Security in LIS \nSpeaker(s): Dr. Arslan Arslan URL:https://www.ieeetoronto.ca/event/flexible-radio-access-beyond-5g-a-future-projection/ LOCATION:Atlanta\, Georgia\, United States\, Virtual: https://events.vtools.ieee.org/m/277084 CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20210628T180000 DTEND;TZID=UTC:20210628T193000 DTSTAMP:20260427T152026 CREATED:20210617T220318Z LAST-MODIFIED:20210809T205400Z UID:10000434-1624903200-1624908600@www.ieeetoronto.ca SUMMARY:IEEE VDL: Machine Learning for Wireless Communications and Networking: Motivations\, Case Studies\, and Open Problems DESCRIPTION:On Monday\, June 28\, 2021\, come listen to Dr. Shiwen Mao present the IEEE ComSoc VDL: Machine Learning for Wireless Communications and Networking: Motivations\, Case Studies\, and Open Problems. \nZOOM link will be provided to attendees. \nContact: IEEE Denver ComSoc \nAbstract: \nWhile 5G deployment is being carried out in many places of the world\, there has been great interest in the prospects of 5G beyond and the next generation. Among the various visions\, a common theme is that artificial intelligence will play a key role\, as evidenced by the great interest and advances in machine learning enabled wireless communications and networking. In this talk\, we will discuss the motivation\, potential\, and challenges of incorporating machine learning in wireless communications and networking for 5G and beyond systems. \nWe will start with two motivating examples\, i.e.\, channel estimation and mobile edge computing\, to show why machine learning could be helpful. We will share our experience of several case studies\, including (i) a hybrid approach to the classical energy efficiency maximization problem\, where traditional models could be used to train a deep learning model; (ii) data augmentation for convolutional neural network (CNN) based automatic modulation classification (AMC)\, where a conditional generative adversarial network (CGAN) is utilized to generate synthesized training data; and (iii) and an adaptive model for RFID-based 3D human skeleton tracking\, which utilizes meta-learning and few-shot fine-tuning to achieve high adaptability to new environments. We will conclude this talk with a discussion of challenges and open problems. \nSpeaker(s): Dr. Shiwen Mao \nBiography: \n \nShiwen Mao [S’99-M’04-SM’09-F’19] received his Ph.D. in electrical engineering from Polytechnic University\, Brooklyn\, NY in 2004. He was a postdoc at Virginia Tech from 2004 to 2006\, and joined Auburn University\, Auburn\, AL as an assistant professor of Electrical and Computer Engineering in 2006. He held the McWane Endowed Professorship from 2012 to 2015 and the Samuel Ginn Endowed Professorship from 2015 to 2020. Currently\, he is a professor and Earle C. Williams Eminent Scholar Chair\, and Director of the Wireless Engineering Research and Education Center at Auburn University. His research interest includes wireless networks\, multimedia communications\, and smart grid. He is on the editorial board of several IEEE and ACM journals. He is a Distinguished Lecturer of IEEE Communications Society and IEEE Council of RFID\, and a Distinguished Speaker of IEEE Vehicular Technology Society. He received the IEEE ComSoc TC-CSR Distinguished Technical Achievement Award in 2019 and NSF CAREER Award in 2010. He is a co-recipient of the 2021 IEEE Communications Society Outstanding Paper Award and the IEEE Vehicular Technology Society 2020 Jack Neubauer Memorial Award. \nAgenda: \n6pm (MT) – Introductions \n6:10-7:15 – VDL Presentation \n7:15-7:30 – Q&A URL:https://www.ieeetoronto.ca/event/machine-learning-for-wireless-communications-and-networking-motivations-case-studies-and-open-problems/ LOCATION:Virtual – Zoom CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20210624T110000 DTEND;TZID=UTC:20210624T123000 DTSTAMP:20260427T152026 CREATED:20210617T220318Z LAST-MODIFIED:20210809T205348Z UID:10000432-1624532400-1624537800@www.ieeetoronto.ca SUMMARY:IEEE VDL: Learning to Learn to Communicate DESCRIPTION:Join us on Thursday\, June 24\, 2021 for the IEEE VDL: Learning to Learn to Communicate\, presented by Prof. Osvaldo Simeone. \nContact: IEEE Kingston ComSoc \nAbstract: \nThe application of supervised learning techniques for the design of the physical layer of a communication link is often impaired by the limited amount of pilot data available for each device; while the use of unsupervised learning is typically limited by the need to carry out a large number of training iterations. In this talk\, meta-learning\, or learning-to-learn\, is introduced as a tool to alleviate these problems. The talk will consider an Internet-of-Things (IoT) scenario in which devices transmit sporadically using short packets with few pilot symbols over a fading channel. The number of pilots is generally insufficient to obtain an accurate estimate of the end-to-end channel\, which includes the effects of fading and of the transmission-side distortion. To tackle this problem\, pilots from previous IoT transmissions are used as meta-training data in order to train a demodulator that is able to quickly adapt to new end-to-end channel conditions from few pilots. Various state-of-the-art meta-learning schemes are adapted to the problem at hand and evaluated\, including MAML\, FOMAML\, REPTILE\, and CAVIA. Both offline and online solutions are developed. \nSpeaker(s): Prof. Osvaldo Simeone \nBiography: \nOsvaldo Simeone is a Professor of Information Engineering with the Centre for Telecommunications Research at the Department of Engineering of King’s College London\, where he directs the King’s Communications\, Learning and Information Processing lab. He received an M.Sc. degree (with honors) and a Ph.D. degree in information engineering from Politecnico di Milano\, Milan\, Italy\, in 2001 and 2005\, respectively. From 2006 to 2017\, he was a faculty member of the Electrical and Computer Engineering (ECE) Department at New Jersey Institute of Technology (NJIT)\, where he was affiliated with the Center for Wireless Information Processing (CWiP). His research interests include information theory\, machine learning\, wireless communications\, and neuromorphic computing. Dr Simeone is a co-recipient of the 2019 IEEE Communication Society Best Tutorial Paper Award\, the 2018 IEEE Signal Processing Best Paper Award\, the 2017 JCN Best Paper Award\, the 2015 IEEE Communication Society Best Tutorial Paper Award and of the Best Paper Awards of IEEE SPAWC 2007 and IEEE WRECOM 2007. He was awarded a Consolidator grant by the European Research Council (ERC) in 2016. His research has been supported by the U.S. NSF\, the ERC\, the Vienna Science and Technology Fund\, as well as by a number of industrial collaborations. He currently serves in the editorial board of the IEEE Signal Processing Magazine and is the vice-chair of the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society. He was a Distinguished Lecturer of the IEEE Information Theory Society in 2017 and 2018. Dr Simeone is a co-author of two monographs\, two edited books published by Cambridge University Press\, and more than one hundred research journal papers. He is a Fellow of the IET and of the IEEE. URL:https://www.ieeetoronto.ca/event/ieee-vdl-learning-to-learn-to-communicate/ LOCATION:Virtual – Zoom CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20210621T110000 DTEND;TZID=UTC:20210621T123000 DTSTAMP:20260427T152026 CREATED:20210617T220317Z LAST-MODIFIED:20210809T205324Z UID:10000430-1624273200-1624278600@www.ieeetoronto.ca SUMMARY:IEEE VDL: Intelligent Reflected Surfaces for Future Wireless Systems DESCRIPTION:Join the IEEE Kingston ComSoc and IEEE Toronto ComSoc for the Virtual Distinguished Lecture “Intelligent Reflected Surfaces for Future Wireless Systems”\, presented by Dr. Shahid Mumtaz. \nContact: IEEE Kingston ComSoc \nAbstract: \nAs we have finalized the research for 5G\, now there is a race for technologies that will conquer 6G. The 6G  technologies will achieve much better latency and computation efficiency as compared to 5G. From 1G to 5G\, almost all research and standardization randomly model the wireless channel between transmitter and receiver. There is no control of humans over a wireless medium\, as it is given by nature. In 6G\, we will break this assumption and go from random wireless channels to controllable wireless. Thanks to Intelligent Reflected Surfaces for Future Wireless System(IRS). This talk will explain in detail the physics of metasurface and the progress of IRS till today. This talk will also present different use case\, study cases\, signal processing and communication techniques for IRS\, standardization\, Prototype and testbed\, and the open research challenges. \nSpeaker(s): Dr. Shahid Mumtaz \nBiography: \nShahid Mumtaz is an IET Fellow\, IEEE ComSoc and ACM Distinguished speaker\, recipient of IEEE ComSoC Young Researcher Award (2020)\, IEEE Senior member\, founder and EiC of IET “Journal of Quantum communication”\, Vice-Chair: Europe/Africa Region- IEEE ComSoc: Green Communications & Computing society and Vice-chair for IEEE standard on P1932.1: Standard for Licensed/Unlicensed Spectrum Interoperability in Wireless Mobile Networks. \nHe has more than 15 years of wireless industry/academic experience. He has received his Master’s and Ph.D. degrees in Electrical & Electronic Engineering from Blekinge Institute of Technology\, Sweden\, and University of Aveiro\, Portugal in 2006 and 2011\, respectively. From 2002 to 2003\, he worked for Pak Telecom as System Engineer and from 2005 to 2006 for Ericsson and Huawei at Research Labs in Sweden. He has been with Instituto de Telecomunicações since 2011 where he currently holds the position of Auxiliary Researcher and adjunct positions with several universities across the Europe-Asian Region. \nHe is the author of 4 technical books\, 12 book chapters\, 250+ technical papers (170+ Journal/transaction\, 90+ conference\, 2 IEEE best paper award- in the area of mobile communications. He had/has supervised/co-supervising several Ph.D. and Master Students. He uses mathematical and system-level tools to model and analyze emerging wireless communication architectures\, leading to innovative theoretically optimal new communication techniques. He is working closely with leading R&D groups in the industry to transition these ideas to practice. He secures the funding of around 2M Euro. URL:https://www.ieeetoronto.ca/event/ieee-vdl-intelligent-reflected-surfaces-for-future-wireless-systems/ LOCATION:Virtual – Zoom CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20210617T130000 DTEND;TZID=UTC:20210617T143000 DTSTAMP:20260427T152026 CREATED:20210614T213826Z LAST-MODIFIED:20210809T205253Z UID:10000426-1623934800-1623940200@www.ieeetoronto.ca SUMMARY:IEEE VDL: Localization in Drone Assisted and Vehicular Networks DESCRIPTION:Join the IEEE Kingston Communications Society Chapter for the Virtual Distinguished Lecture: Localization in Drone Assisted and Vehicular Networks\, presented by Shahrokh Valaee. \nContact: IEEE Kingston ComSoc \nAbstract: \nThe next generation of wireless systems will employ networking equipment mounted on mobile platforms\, unmanned air vehicles (UAV)\, and low orbit satellites. As a result\, the topology of 6G wireless technology will extend to 3D vertical networking. With its extended service\, 6G will also give rise to new challenges which include\, the introduction of intelligent reflective surfaces (IRS)\, the mmWave spectrum\, the employment of massive MIMO systems\, and the agility of networks. Along with the advancement in networking technology\, user devices are also evolving rapidly\, with the emergence of highly capable cellphones\, smart IoT equipment\, and wearable devices. One of the key elements of 6G technology is the need for accurate positioning information. The accuracy of today’s positioning systems is not acceptable for many applications of future\, especially in smart environments. In this talk\, we will discuss how positioning can be a key enabler of 6G\, and what challenges the next generation of localization technology will face when integrated within the new wireless networks. \nSpeaker(s): Shahrokh Valaee \nBiography: Shahrokh Valaee is a Professor with the Edward S. Rogers Sr. Department of Electrical and Computer Engineering\, University of Toronto\, and the holder of Nortel Chair of Network Architectures and Services. He is the Founder and the Director of the Wireless and Internet Research Laboratory (WIRLab) at the University of Toronto. Professor Valaee was the TPC Co-Chair and the Local Organization Chair of the IEEE Personal Mobile Indoor Radio Communication (PIMRC) Symposium 2011. He was the TCP Chair of PIMRC2017\, the Track Co-Chair of WCNC 2014\, the TPC Co-Chair of ICT 2015. He has been the guest editor for various journals. He was a Track Co-chair for PIMRC 2020 and VTC Fall 2020. From December 2010 to December 2012\, he was the Associate Editor of the IEEE Signal Processing Letters. From 2010 to 2015\, he served as an Editor of IEEE Transactions on Wireless Communications. Currently\, he is an Editor of Journal of Computer and System Science. Professor Valaee is a Fellow of the Engineering Institute of Canada\, and a Fellow of IEEE. URL:https://www.ieeetoronto.ca/event/ieee-vdl-localization-in-drone-assisted-and-vehicular-networks/ LOCATION:Virtual – Zoom CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20210527T120000 DTEND;TZID=America/Toronto:20210527T130000 DTSTAMP:20260427T152026 CREATED:20210601T190546Z LAST-MODIFIED:20210809T204803Z UID:10000420-1622116800-1622120400@www.ieeetoronto.ca SUMMARY:Integrated Terrestrial-Aerial-Satellite Networks: Key Enabler for the Super Smart Cities of the Future DESCRIPTION:There have been rapid and exciting developments in recent years in satellite networks\, in particular\, in LEO mega-constellations such as SpaceX’s Starlink. Although less visible\, exciting developments have also been taking place in a certain type of aerial networks known as the high-altitude platform station (HAPS) systems\, such as the formation of HAPS Alliance which brings together the connectivity and aerospace industries. It is worth noting that the satellite and aerial networks discussions have been occurring exclusively in the context of remote and rural connectivity. A major concern in this context is the rather questionable business case; there is limited revenue in rural and remote regions. In this talk\, a novel vision will be presented for an integrated terrestrial-aerial-satellite networks architecture as a key enabler for the super smart cities of 2030s and beyond \nSpeaker: Dr. Halim Yanikomeroglu \nBiography: Dr. Halim Yanikomeroglu is a Professor at Carleton University\, Canada. He received his Ph.D. from the University of Toronto in 1998. He contributed to 4G/5G technologies and standards; his research focus in recent years has been on 6G and non-terrestrial networks (NTN). His extensive collaboration with industry resulted in 37 granted patents. He supervised or hosted in his lab around 140 postgraduate researchers. He co-authored IEEE papers with faculty members in 80+ universities in 25 countries. He is a Fellow of IEEE\, Engineering Institute of Canada\, and Canadian Academy of Engineering\, and an IEEE Distinguished Speaker for Communications Society (ComSoc) and Vehicular Technology Society (VTS). He is currently chairing the IEEE WCNC (Wireless Communications and Networking Conference) Steering Committee; he is also a member of PIMRC Steering Committee and ComSoc Emerging Technologies Committee. He served as the General Chair of two VTCs and Technical Program Chair/Co-Chair of three WCNCs. He chaired ComSoc Technical Committee on Personal Communications. He received several awards for his research\, teaching\, and service including IEEE ComSoc Fred W. Ellersick Prize (2021)\, IEEE VTS Stuart Meyer Memorial Award (2020)\, and IEEE ComSoc Wireless Communications Technical Committee Recognition Award (2018). URL:https://www.ieeetoronto.ca/event/integrated-terrestrial-aerial-satellite-networks-key-enabler-for-the-super-smart-cities-of-the-future/ LOCATION:Virtual – Zoom CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20210518T200000 DTEND;TZID=America/Toronto:20210518T213000 DTSTAMP:20260427T152026 CREATED:20210506T165446Z LAST-MODIFIED:20210809T204704Z UID:10000412-1621368000-1621373400@www.ieeetoronto.ca SUMMARY:IEEE VDL: Deep Learning for Physical Layer Communications: An Attempt towards 6G DESCRIPTION:Join us for the IEEE Virtual Distinguished Lecture “Deep Learning for Physical Layer Communications: An Attempt towards 6G” presented by Prof. Feifei Gao of Tsinghua University\, China. \nContact: IEEE Kingston ComSoc Chapter \nAbstract: \nMerging artificial intelligence into the system design has appeared as a new trend in wireless communications areas and has been deemed as one of the 6G technologies. In this talk\, we will present how to apply the deep neural network (DNN) for various aspects of physical layer communications design\, including the channel estimation\, channel prediction\, channel feedback\, data detection\, and beamforming\, etc. We will also present a promising new approach that is driven by both the communications data and the communication models. It will be seen that the DNN can be used to enhance the performance of the existing technologies once there is model mismatch. More interestingly\, we will show that applying DNN can deal with the conventionally unsolvable problems\, thanks to the universal approximation capability of DNN. With the well-defined propagation model in communication areas\, we also attempt to explain the DNN under the scenario of channel estimation and reach a strong conclusion that DNN can always provide the asymptotically optimal channel estimations. We have also build test-bed to show the effectiveness of the AI aided wireless communications. In all\, DNN is shown to be a very powerful tool for communications and would make the communications protocols more intelligently. Nevertheless\, as a new born stuff\, one should carefully select suitable scenarios for applying DNN rather than simply spreading it everywhere. \nBiography: \nProf. Gao’s research interest include signal processing for communications\, array signal processing\, convex optimizations\, and artificial intelligence assisted communications. He has authored/ coauthored more than 150 refereed IEEE journal papers and more than 150 IEEE conference proceeding papers that are cited more than 10000 times in Google Scholar. Prof. Gao has served as an Editor of IEEE Transactions on Wireless Communications\, IEEE Journal of Selected Topics in Signal Processing (Lead Guest Editor)\, IEEE Transactions on Cognitive Communications and Networking\, IEEE Signal Processing Letters\, IEEE Communications Letters\, IEEE Wireless Communications Letters\, and China Communications. He has also serves as the symposium co-chair for 2019 IEEE Conference on Communications (ICC)\, 2018 IEEE Vehicular Technology Conference Spring (VTC)\, 2015 IEEE Conference on Communications (ICC)\, 2014 IEEE Global Communications Conference (GLOBECOM)\, 2014 IEEE Vehicular Technology Conference Fall (VTC)\, as well as Technical Committee Members for more than 50 IEEE conferences. URL:https://www.ieeetoronto.ca/event/ieee-vdl-deep-learning-for-physical-layer-communications-an-attempt-towards-6g/ LOCATION:Kingston\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org\, Kingston\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20210514T110000 DTEND;TZID=America/Toronto:20210514T120000 DTSTAMP:20260427T152026 CREATED:20210504T165404Z LAST-MODIFIED:20210809T204633Z UID:10000279-1620990000-1620993600@www.ieeetoronto.ca SUMMARY:ComSoc Distinguished Lecture: AI to Enable Digital Medicine and Detect COVID-19 DESCRIPTION:The IEEE Ottawa Joint Chapter of Communications Society\, Consumer Electronics Society\, and Broadcast Technology Society (ComSoc/CESoc/BTS)\, IEEE Toronto Chapter (ComSoc/BTS)\, IEEE ComSoc Montreal Chapter (ComSoc)\, IEEE Ottawa Educational Activities (EA)\, IEEE Ottawa Women In Engineering (WIE)\, IEEE Ottawa Young Professionals (YP)\, and Algonquin College Student Branch (ACSB) in conjunction with School of Advanced Technology\, Algonquin College are inviting all interested IEEE members and other engineers\, technologists\, and students to ComSoc Distinguished Lecture (webinar) on AI to Enable Digital Medicine and Detect COVID-19. \nFor any additional information please contact: Wahab Almuhtadi or Eman Hammad \nAbstract: \nDigitalize human beings using biosensors to track our complex physiologic system\, process the large amount of data generated with artificial intelligence (AI) and change clinical practice towards individualized medicine: these are the goals of digital medicine. In this talk\, we discuss how to design AI solutions in the clinical space and what are the key aspects to make a difference. We focus on two critical clinical topics that need AI: 1) atrial fibrillation (AF)\, and 2) viral illnesses (COVID-19). AF is the most common sustained cardiac arrhythmia\, associated with stroke\, heart failure and coronary artery disease. AF detection from single-lead electrocardiography (ECG) recordings is still an open problem\, as AF events may be episodic and the signal noisy. We conduct a thoughtful analysis of recent convolutional neural network architectures developed in the computer vision field\, redesigned to be suitable for a one-dimensional signal\, and we evaluate their performance in the detection of AF using 200 thousand seconds of ECG\, highlighting the potential and pitfall of this technology. We also discuss how to explain (global and local post hoc explanations) this AI model for AF detection using features that are commonly used by a cardiologist. \nTo tackle the problem of COVID-19\, we start with an overview of continuous\, passively monitored vital signs from 200\,000 individuals wearing a Fitbit wearable device for 2 years. This large study provides the baseline for DETECT\, our app-based\, nationwide clinical study enrolling individuals who routinely use a smartwatch or other wireless devices to determine if individualized tracking of changes in heart rate\, activity and sleep can provide early diagnosis and self-monitoring for COVID-19. We analyze data from more than 36\,000 individuals\, showing how we can discriminate (on an individual level) between COVID-19 and other types of infections. We discuss how this can impact both the individual and public health\, and how the use of AI can be a game changer in this fight against the virus. \nSpeaker: Giorgio Quer \nGiorgio Quer is the Director of Artificial Intelligence at the Scripps Research Translational Institute\, where he is leading the Data Science and Analytics team within the All of Us Research Program’s Participant Center (NIH). \nHis research focuses on artificial intelligence and probabilistic modeling applied to heterogeneous data signals\, in order to extract key information and make predictions on future occurrences based on past data. He is involved in several digital medicine initiatives within the Scripps Research Digital Trials Center. For the DETECT study\, he is developing algorithms to predict COVID-19 and other viral infections from wearable sensor data. He is responsible for collaborations with several industry partners\, studying changes in heart rate and sleep data monitored by commercial wearable devices. He is also interested in the detection and modeling of atrial fibrillation from single-lead ECG signals. He is leading the collaboration with the Halicioglu Data Science Institute at UC San Diego towards the development of new AI models for health data. \nHe received his Ph.D. degree in Information Engineering from the University of Padova\, Italy\, and he continued his studies as a Postdoctoral researcher with the Qualcomm Institute at the University of California San Diego. He is a Senior Member of the IEEE and a Distinguished Lecturer for the IEEE Communications society. URL:https://www.ieeetoronto.ca/event/comsoc-distinguished-lecture-ai-to-enable-digital-medicine-and-detect-covid-19/ LOCATION:Virtual – Zoom CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20200730T183000 DTEND;TZID=America/Toronto:20200730T193000 DTSTAMP:20260427T152026 CREATED:20210430T023539Z LAST-MODIFIED:20210430T234839Z UID:10000312-1596133800-1596137400@www.ieeetoronto.ca SUMMARY:Measurement\, Control and Protection in Smart Grid Energy Management Systems for Smart Buildings in a Smart City DESCRIPTION:Webinar by the IEEE Ottawa Section\, Instrumentation & Measurement Society Chapter (IMS)\, Power and Energy Society Ottawa Chapter (PES)\, Reliability Society and Power Electronics Society Joint Chapter (RS/PELS)\, Communications Society\, Consumer Electronics Society\, and Broadcast Technology Society Joint Chapter (ComSoc/ CESoc/BTS)\, and IEEE Ottawa Educational Activities (EA). \nDay & Time: Thursday\, July 30\, 2020\n6:30 p.m. ‐ 7:30 p.m. \nSpeaker: Prof. Saifur Rahman \nOrganizers: IEEE Ottawa Section\, Instrumentation & Measurement Society Chapter\, Power and Energy Society Chapter\, Reliability Society and Power Electronics Society\, Broadcast Technology Society Join Chapter\, IEEE Ottawa Educational Activities\, IEEE Toronto WIE \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi \nAbstract: Smart grid is a modern electric system with its architecture\, communications\, sensors\, measurements\, automation\, computing hardware and software for improvement of the efficiency\, reliability\, flexibility and security. In particular\, the smart grid\, when fully deployed\, will facilitate the (i) increased use of digital information and measurement\, control & protection technologies\, (ii) deployment and grid-integration of distributed energy resources (DERs)\, (iii) operation of demand response and energy efficiency programs\, and (iv) integration of consumer-owned smart devices and technologies. Different non-linear controls\, such as back-stepping control\, feedback linearization\, model predictive control\, and sliding mode control are applied to control DERs\, and their grid integration. Another control technique gaining application in the smart grid space is based on multi-agent systems (MAS) which provide autonomy\, reactivity and proactivity. As speedy communication facilities\, such as fiber-optics\, microwave\, GSM/GPRS\, 4G/5G are becoming the integral parts of the functioning smart grid\, the integration of MAS in smart grid applications is becoming simple and feasible. This lecture focuses on the measurement & control issues of the smart grid and how MAS can provide an efficient tool to address such issues. In addition\, an overview of the related challenges and opportunities for energy efficient building operation and management with deployment experience in the US will be provided. \nRegister: https://events.vtools.ieee.org/m/236481 \nBiography: Prof. Saifur Rahman is the founding director of the Advanced Research Institute (www.ari.vt.edu) at Virginia Tech\, USA where he is the Joseph R. Loring professor of electrical and computer engineering. He also directs the Center for Energy and the Global Environment (www.ceage.vt.edu). He is a Life Fellow of the IEEE and an IEEE Millennium Medal winner. He was the founding editor-in-chief of the IEEE Electrification Magazine and the IEEE Transactions on Sustainable Energy. In 2006\, he served on the IEEE Board of Directors as the Vice President for Publications. He is a distinguished lecturer for the IEEE Power & Energy Society (PES) and has lectured on renewable energy\, energy efficiency\, smart grid\, electric power system operation and planning\, etc. in over 30 countries. He was IEEE Power and Energy Society President 2018-2019 and is now a candidate for IEEE President-Elect 2021. \nHe chaired the US National Science Foundation Advisory Committee for International Science and Engineering\, 2010-2013. He conducted several energy efficiency projects for Duke Energy\, Tokyo Electric Power Company\, US National Science Foundation\, US Department of Defense\, State of Virginia and US Department of Energy. URL:https://www.ieeetoronto.ca/event/measurement-control-and-protection-in-smart-grid-energy-management-systems-for-smart-buildings-in-a-smart-city/ LOCATION:Toronto\, Ontario Canada CATEGORIES:Communications,Instrumentation & Measurement,Power & Energy,Power Electronics,Women in Engineering END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20200729T180000 DTEND;TZID=America/Toronto:20200729T200000 DTSTAMP:20260427T152026 CREATED:20210430T023538Z LAST-MODIFIED:20210430T234634Z UID:10000310-1596045600-1596052800@www.ieeetoronto.ca SUMMARY:Introduction to NLP for Classification Task – Session 4 DESCRIPTION:On Wednesday\, July 29\, 2020 at 6:00 p.m.\, IEEE Toronto WIE\, Computational Intelligence Society\, and IM/RA will be hosting “Introduction to Natural Language Processing (NLP) for Classification Task – Session 4”. \nDay & Time: Wednesday\, July 29\, 2020\n6:00 p.m. ‐ 8:00 p.m. \nOrganizers: IEEE Toronto WIE\, Computational Intelligence Society\, IM/RA Society \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi\, Younes Sadat Nejad \nAbstract: Introduction to Natural Language Processing (NLP) for Classification Task is a series of workshops hosted by IEEE Toronto Section\, WIE\, Computational Intelligence Society\, Instrumentation Measurement/Robotics Automation Chapter and Ryerson Advanced AI lab. \nOur main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks. \nIn this session\, we will be focusing on RNN and LSTM. \nRegister: Please visit https://events.vtools.ieee.org/m/236479 or https://events.vtools.ieee.org/m/236480 for more details and to register. URL:https://www.ieeetoronto.ca/event/introduction-to-nlp-for-classification-task-session-4/ LOCATION:Online via Zoom Toronto\, Ontario Canada CATEGORIES:Communications,Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20200715T180000 DTEND;TZID=America/Toronto:20200715T200000 DTSTAMP:20260427T152026 CREATED:20210430T023536Z LAST-MODIFIED:20210430T234230Z UID:10000306-1594836000-1594843200@www.ieeetoronto.ca SUMMARY:Introduction to NLP for Classification Task - Session 2 DESCRIPTION:Recorded Material:\nVideo: https://drive.google.com/file/d/1gBUK_NtU3kSNblsGaYouLHyfDHlxr1tt/view\nPowerPoint: 2.IntroductiontoNLP\,Kagle \nOn Wednesday\, July 15\, 2020 at 6:00 p.m.\, IEEE Toronto WIE and Computational Intelligence Society will be hosting “Introduction to Natural Language Processing (NLP) for Classification Task – Session 2”. \nDay & Time: Wednesday\, July 15\, 2020\n6:00 p.m. ‐ 8:00 p.m. \nOrganizers: IEEE Toronto WIE\, Computational Intelligence Society \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi\, Younes Sadat Nejad \nAbstract: Introduction to Natural Language Processing (NLP) for Classification Task is a series of workshops hosted by IEEE Toronto Section\, WIE\, Computational Intelligence Society\, Instrumentation Measurement/Robotics Automation Chapter and Ryerson Advanced AI lab. \nOur main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks. \nIn the second session\, we will introduce the concept of deep learning\, and then specifically focus on Natural Language Process. We will also introduce Kaggle Account as an environment for python coding. \nRegister: Please visit https://events.vtools.ieee.org/m/235444 or https://events.vtools.ieee.org/m/235447 for more details and to register. URL:https://www.ieeetoronto.ca/event/introduction-to-nlp-for-classification-task-session-2/ LOCATION:Online via Zoom CATEGORIES:Communications,Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20200709T120000 DTEND;TZID=America/Toronto:20200709T130000 DTSTAMP:20260427T152026 CREATED:20210430T023535Z LAST-MODIFIED:20210430T234048Z UID:10000305-1594296000-1594299600@www.ieeetoronto.ca SUMMARY:TORONTO COMSOC SUMMER TALKS: Integrated Access and Backhaul for 5G and Beyond DESCRIPTION:The IEEE Toronto ComSoc Chapter is thrilled to continue its Summer Talks Series hosting Dr. Behrooz Makki\, a Senior Researcher in Ericsson Research\, Gothenburg\, Sweden. In his talk\, Dr. Makki will discuss integrated access and backhaul for 5G and beyond. \nDay & Time: Thursday\, July 9\, 2020\n12:00 p.m. ‐ 1:00 p.m. \nSpeaker: Dr. Behrooz Makki \nOrganizers: IEEE Communications Society Toronto Chapter \nLocation: Virtual – Zoom \nContact: IEEE ComSoc Toronto Chapter \nAbstract: The number of devices requesting for wireless communications is growing exponentially. Network densification via the deployment of many base stations (BSs) of different types is one of the mechanisms that can be employed to satisfy the ever-increasing demand for bandwidth/capacity in wireless networks. However\, deploying fiber to the small cells may be expensive and impractical when the number of small cells increases. For this reason\, as well as because of the traffic jams and infrastructure displacements caused by fiber optic installation\, millimeter wave (mmw)-based wireless backhaul is currently considered as an alternative\, providing (almost) the same rate as fiber optic with significantly less price and no digging. With this background\, integrated access and backhaul (IAB) networks\, where the operator can utilize part of the radio resources for wireless backhauling\, has recently received considerable attention. The purpose of IAB is to replace existing backhaul systems with flexible wireless backhaul using the existing 3GPP bands providing not only backhaul but also existing cellular services in the same node. This creates more flexibility and reduces the implementation cost. For 5G NR\, IAB is currently considered as a work item in 3GPP\, and it is known as one of the main novelties of 5G. In this talk\, we review the main backhauling techniques\, and present the main motivations/standardization agreements on IAB. Moreover\, We present comparisons between the IAB networks and the cases where all or part of the small access points are fiber-connected. Finally\, we study the robustness of IAB networks to environmental effects and verify the effect of the blockage\, the tree foliage\, the rain as well as the antenna height/gain on the coverage rate of IAB setups\, as the key differences between the fiber-connected and IAB networks. As we show\, IAB is an attractive setup enabling 5G and beyond. \nBiography: Behrooz Makki received his PhD degree in Communication Engineering from Chalmers University of Technology\, Gothenburg\, Sweden. In 2013-2017\, he was a Postdoc researcher at Chalmers University. Currently\, he works as a senior researcher in Ericsson Research\, Gothenburg\, Sweden. \n\nBehrooz is the recipient of the VR Research Link grant\, Sweden\, 2014\, the Ericsson’s Research grant\, Sweden\, 2013\, 2014 and 2015\, the ICT SEED grant\, Sweden\, 2017\, as well as the Wallenbergs research grant\, Sweden\, 2018. He is a Senior Member of IEEE since Aug. 2019. Also\, Behrooz is the recipient of the IEEE best reviewer award\, IEEE Transactions on Wireless Communications\, 2018. Currently\, he works as an Editor in IEEE Wireless Communications Letters\, IEEE Communications Letters\, the journal of Communications and Information Networks as well as the associate editor of Frontiers in Communications and Networks. He was a member of European Commission projects “mm-Wave based Mobile Radio Access Network for 5G Integrated Communications” and “ARTIST4G” as well as various national and international research collaborations. His current research interests include integrated access and backhaul\, hybrid automatic repeat request\, Green communications\, millimeter wave communications\, and backhauling. He has co-authored 57 journal papers\, 45 conference papers and 40 patent applications. \n\nRegister: Please visit https://events.vtools.ieee.org/m/233754 for more details and to register. URL:https://www.ieeetoronto.ca/event/toronto-comsoc-summer-talks-integrated-access-and-backhaul-for-5g-and-beyond/ CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20200708T180000 DTEND;TZID=America/Toronto:20200708T193000 DTSTAMP:20260427T152026 CREATED:20210430T023534Z LAST-MODIFIED:20210430T234017Z UID:10000304-1594231200-1594236600@www.ieeetoronto.ca SUMMARY:Introduction to NLP for Classification Task – Session 1 DESCRIPTION:Recorded Material:\nVideo: https://drive.google.com/file/d/1gBUK_NtU3kSNblsGaYouLHyfDHlxr1tt/view?usp=sharing\nPowerPoint: 1-Intro to Python\, Data Science Libraries\, and Pytorch \nOn Wednesday\, July 8\, 2020 at 6:00 p.m.\, IEEE Toronto WIE and Computational Intelligence Society will be hosting “Introduction to Natural Language Processing (NLP) for Classification Task – Session 1”. \nDay & Time: Wednesday\, July 8\, 2020\n6:00 p.m. ‐ 7:30 p.m. \nOrganizers: IEEE Toronto WIE\, Computational Intelligence Society \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi\, Younes Sadat Nejad \nAbstract: Introduction to Natural Language Processing (NLP) for Classification Task is a series of workshops hosted by IEEE Toronto Section\, WIE\, Computational Intelligence Society\, Instrumentation Measurement/Robotics Automation Chapter and Ryerson Advanced AI lab. \nOur main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks. In session 1\, we will be covering the introduction to Python\, Data Science Libraries and Pytorch. \nRegister: Please visit https://events.vtools.ieee.org/m/233944 or https://events.vtools.ieee.org/m/233942 for more details and to register. URL:https://www.ieeetoronto.ca/event/introduction-to-nlp-for-classification-task-session-1/ CATEGORIES:Communications,Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20200618T180000 DTEND;TZID=America/Toronto:20200618T190000 DTSTAMP:20260427T152026 CREATED:20210430T023534Z LAST-MODIFIED:20210430T233729Z UID:10000303-1592503200-1592506800@www.ieeetoronto.ca SUMMARY:Toronto ComSoc Summer Talks: A Career in Engineering\, Past & Future Reflections DESCRIPTION:On Thursday\, June 18\, 2020 at 6:00 p.m.\, Dr. Thamir (Tom) Murad will be presenting  “Toronto ComSoc Summer Talks: A Career in Engineering\, Past & Future Reflections”. \nDay & Time: Thursday\, June 18\, 2020\n6:00 p.m. ‐ 7:00 p.m. \nSpeaker: Dr. Thamir (Tom) Murad\, Ph.D.\, P.Eng. \nOrganizers: IEEE Toronto ComSoc Chapter \nLocation: Virtual – Zoom \nContact: IEEE Toronto ComSoc Chapter \nAbstract: The IEEE Toronto ComSoc Chapter is thrilled to kick-off its Summer Talks Series hosting Dr. Tom Murad\, the Vice Chair\, Ontario Society of Professional Engineers “OSPE“ ‘s Board of Directors. Dr. Murad currently is the Country Lead for Engineering and Technology for Siemens Mobility. In this talk\, we look forward to Dr. Murad as he shares his reflections on his career in engineering with insights into the future on how to remain relvant and combine passion with leadership. \nRegister: Please visit https://events.vtools.ieee.org/m/232207 for more details and to register. \nBiography: Dr. Thamir (Tom) Murad\, Ph.D.\, P.Eng.\nVice Chair\, Ontario Society of Professional Engineers “OSPE“ ‘s Board of Directors \nTom has been a licensed engineer since 1998 and has extensive years of experience in the profession. He currently is the Country Lead for Engineering and Technology for Siemens Mobility\, previously the founder and Head of Siemens Canada Engineering & Technology Academy (SCETA)\, as well as the Country Lead for Engineering\, Technology and Academics for Siemens. \nTom has been a great advocate for the Engineering profession by sharing his experience and expertise with many committees and organizations’ Boards. \nHe is a member of the Ontario Government’s Post Secondary Education Quality Assessment board “ PEAQB “\, the Ryerson University Faculty of Engineering Advisory Council\, Humber College Applied Technologies Dean’s Board\, PEO’s Experience Review Committee\, Past chair of the IEEE -Toronto Section’s Executive Committee\, and the Past Chair of Halton Champions of Innovation Round Table. \nDr. Murad also has been a member of the Board of Directors for IEEE Canada\, the German Canadian Centre for Innovation & Research\, the Green Centre Canada\, and Fielding Environmental. His contributions to the profession have been recognized by PEO\, which gave him the Order of Honour\, and he was also named a Fellow of Engineers Canada. \nMost Recently\, He has been awarded the IEEE Canada J.M. Ham Outstanding Engineering Educator Award in 2019\, OPEA (Joint PEO and OSPE) Best Engineering Achievement Award in 2017\, and the Ontario Chamber of Commerce Golden Award for Best Skill Enhancement Project in 2016 . \nTom has a Bachelor of Science in Electrical and Electronic Engineering\, as well as a Ph.D. of Engineering\, specializing in Power Electronics & Industrial Controls from Loughborough University of Technology in the U.K. \nTom’s Passion has been always in Engineering Skills development \, and he is Nationally recognised and awarded as a visionary and an Advocate for Innovative approach to work Integrated Learning and Education programs. URL:https://www.ieeetoronto.ca/event/toronto-comsoc-summer-talks-a-career-in-engineering-past-future-reflections/ CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20190606T100000 DTEND;TZID=America/Toronto:20190606T110000 DTSTAMP:20260427T152026 CREATED:20210430T023524Z LAST-MODIFIED:20210430T231849Z UID:10000173-1559815200-1559818800@www.ieeetoronto.ca SUMMARY:MIMO Signalling: Knowing the Classics Can Make a Difference DESCRIPTION:Thursday June 6th\, 2019 at 10:00 a.m. Prof. Wing-Kin (Ken) Ma\, Chinese University of Hong Kong\, will be presenting an IEEE Signal Processing Society Distinguished Lecture “MIMO Signalling: Knowing the Classics Can Make a Difference”. \nDay & Time: Thursday June 6th\, 2019\n10:00 a.m. ‐ 11:00 a.m. \nSpeaker: Prof. Wing-Kin (Ken) Ma\nChinese University of Hong Kong \nOrganizers: IEEE Signal Processing Chapter Toronto Section\nIEEE Communications Chapter Toronto Section \nLocation: Room BA-2135\, University of Toronto\nhttp://map.utoronto.ca/building/080 \nContact: Mehrnaz Shokrollahi\, Yashodhan Athavale\, Michael Zara\, \nAbstract: In this talk the speaker will share two stories of how his research was benefitted by learning from the basics. The first story concerns physical-layer multicasting\, a topic that has been dominated bybeamforming and optimization techniques. We will see how the classical concept of using channel coding to fight fast fading effects gives spark to rethink multicasting\, and how that leads to a stochastic beamforming approach that goes beyond what beamforming achieves. The second story considers one-bit massive MIMO precoding\, an emerging and challengingtopic. Current research on this topic mostly focuses on optimization\, often in a sophisticated\, if not complicated\, manner. We will see how the traditional idea of Sigma-Delta modulation for DAC of temporal signals can be transferred to the spatial case\, leading to one-bit massive MIMO precoding solutions that are simple and have quantization error well under control. \nBiography: Wing-Kin (Ken) Ma is a Professor with the Department of Electronic Engineering\, The Chinese University of Hong Kong. His research interests lie in signal processing\, optimization and communications. His mostrecent research focuses on two distinct topics\, namely\, structured matrix factorization for data science and remote sensing\, and MIMO transceiver design and optimization. Dr. Ma is active in the Signal Processing Society. He served as editors of several journals\, e.g.\,Senior Area Editor of IEEE Transactions on Signal Processing\, Lead Guest Editor of a special issue in IEEE Signal Processing Magazine\, to name a few. He is currently a member of the Signal Processing for Communications and Networking (SPCOM) Technical Committee. He received Research Excellence Award 2013– 2014 by CUHK\, the 2015 IEEE Signal Processing Magazine Best Paper Award\, the 2016 IEEE Signal Processing Letters Best Paper Award\, and the 2018 IEEE Signal Processing Best Paper Award. He is an IEEE Fellow and is currently an IEEE SPS Distinguished Lecturer. URL:https://www.ieeetoronto.ca/event/mimo-signalling-knowing-the-classics-can-make-a-difference/ LOCATION:Room BA-2135\, University of Toronto CATEGORIES:Communications,Signal Processing END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20190523T100000 DTEND;TZID=America/Toronto:20190523T130000 DTSTAMP:20260427T152026 CREATED:20210430T023523Z LAST-MODIFIED:20210430T231624Z UID:10000169-1558605600-1558616400@www.ieeetoronto.ca SUMMARY:ComSoc Industry Visit: Siemens RUGGEDCOM DESCRIPTION:IEEE Toronto ComSoc Chapter in partnership with IEEE Toronto Industrial Relations are inviting all interested to a unique opportunity to visit Siemens RUGGEDCOM Facility at 300 Applewood Crescent\, Concord\, ON L4K 4E5. \nRUGGEDCOM is a Canadian based company that is a subsidiary of Siemens. RUGGEDCOM networking products are designed to meet\, even surpass internationally recognized industry standards for fast\, reliable\, standardized communications in numerous mission-critical industrial applications around the world. \nDuring the visit we will get to take a factory tour\, meet with an R&D engineer and tour the R&D lab. RUGGEDCOM will host us for a lunch afterwards. \nDay & Time: Thursday May 23rd\, 2019\n10:00 a.m. ‐ 1:00 p.m. \nOrganizers: IEEE Toronto ComSoc \nTransportation: The location is not far from Vaughan Metropolitan Centre (TTC). registered individuals are welcome to coordinate their own transportation to the location. \nMeeting point: We plan to meet inside the building entrance at 10am. \nRegister: https://events.vtools.ieee.org/m/198904 \nLocation: Siemens Ruggedcom\, 300 Applewood Crescent\nConcord\, Ontario\, Canada L4K 4E5 \nContact: Toronto_Chapter@comsoc.org URL:https://www.ieeetoronto.ca/event/comsoc-industry-visit-siemens-ruggedcom/ LOCATION:Siemens Ruggedcom\, 300 Applewood Crescent\, Concord\, ON L4K 4E5\, Canada CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20190401T150000 DTEND;TZID=America/Toronto:20190401T160000 DTSTAMP:20260427T152026 CREATED:20210430T023520Z LAST-MODIFIED:20210430T230812Z UID:10000278-1554130800-1554134400@www.ieeetoronto.ca SUMMARY:Security in SDN/NFV and 5G Networks-Opportunities and Challenges DESCRIPTION:Monday April 1st\, 2019 at 3:00 p.m. Dr. Ashutosh Dutta\, Director\, Industry Outreach-IEEE Communications Society\, will be presenting an IEEE ComSoc distinguished lecture “Security in SDN/NFV and 5G Networks-Opportunities and Challenges”. \nDay & Time: Monday April 1st\, 2019\n3:00 p.m. ‐ 4:00 p.m. \nSpeaker: Dr. Ashutosh Dutta\, Director\, Industry Outreach-IEEE Communications Society\, IEEE 5G Initiative Founding Co-Chair and Senior Scientist JHU/APL (Johns Hopkins University/Applied Physics Lab) \nOrganizers: IEEE Toronto ComSoc \nLocation: Room Number: BA 4287\n40 St George St\, Toronto\, ON M5S 2E4 \nContact: Eman Hammad \nAbstract: Software Defined Networking (SDN) and Network Function Virtualization (NFV) are the key pillars of future networks\, including 5G and Beyond that promise to support emerging applications such as enhanced mobile broadband\, ultra low latency\, massive sensing type applications while providing the resiliency in the network. Service providers and other verticals (e.g.\, Connected Cars\, IOT\, eHealth) can leverage SDN/NFV to provide flexible and cost-effective service without compromising the end user quality of service (QoS). While NFV and SDN open up the door for flexible networks and rapid service creation\, these offer both security opportunities while also introducing additional challenges and complexities\, in some cases. With the rapid proliferation of 4G and 5G networks\, operators have now started the trial deployment of network function virtualization\, especially with the introduction of various virtualized network elements in the access and core networks. These include elements such as virtualized Evolved Packet Core (vEPC)\, virtualized IP Multimedia Services (vIMS)\, Virtualized Residential Gateway\, and Virtualized Next Generation Firewalls. However\, very little attention has been given to the security aspects of virtualization. While several standardization bodies (e.g.\, ETSI\, 3GPP\, NGMN\, ATIS\, TIA) have started looking into the many security issues introduced by SDN/NFV\, additional work is needed with larger security community involvement including vendors\, operators\, universities\, and regulators. This tutorial will address evolution of cellular technologies towards 5G but will largely focus on various security challenges and opportunities introduced by SDN/NFV and 5G networks such as Hypervisor\, Virtual Network Functions (VNFs)\, SDN Controller\, Orchestrator\, Network slicing\, Cloud RAN\, and security function virtualization. This tutorial will also highlight some of the ongoing activities within various standards communities and will illustrate a few deployment use case scenarios for security including threat taxonomy for both operator and enterprise networks. In addition\, I will also describe some of the ongoing activities within IEEE Future Network initiative including roadmap efforts and various ways one can get involved and contribute to this initiative. \nBiography: Ashutosh Dutta is currently Senior Wireless Communication Systems Research Scientist and JHU/APL Sabbatical Fellow at Johns Hopkins University Applied Physics Labs (JHU/APL)\, USA. Most recently he served as Principal Member of Technical Staff at AT&T Labs in Middletown\, New Jersey. His career\, spanning more than 30 years\, includes Director of Technology Security and Lead Member of Technical Staff at AT&T\, CTO of Wireless at a Cybersecurity company NIKSUN\, Inc.\, Senior Scientist in Telcordia Research\, Director of Central Research Facility at Columbia University\, adjunct faculty at NJIT\, and Computer Engineer with TATA Motors. He has more than 90 conference and journal publications\, three book chapters\, and 30 issued patents. Ashutosh is co-author of the book\, titled\, “Mobility Protocols and Handover Optimization: Design\, Evaluation and Application” published by IEEE and John & Wiley that has recently been translated into Chinese Language. Ashutosh served as the chair for IEEE Princeton / Central Jersey Section\, Industry Relation Chair for Region 1 and MGA\, Pre-University Coordinator for IEEE MGA and vice chair of Education Society Chapter of PCJS. He co-founded the IEEE STEM conference (ISEC) and helped to implement EPICS (Engineering Projects in Community Service) projects in several high schools. Ashutosh currently serves as the Director of Industry Outreach for IEEE Communications Society and is the founding co-chair for IEEE 5G initiative. He also serves as IEEE Communications Society’s Distinguished Lecturer for 2017-2018. Ashutosh serves as the general co-chair for the premier IEEE 5G World Forum. He was recipient of the prestigious 2009 IEEE MGA Leadership award and 2010 IEEE-USA professional leadership award. Ashutosh obtained his BS in Electrical Engineering from NIT Rourkela\, India\, MS in Computer Science from NJIT\, and Ph.D. in Electrical Engineering from Columbia University under the supervision of Prof. Henning Schulzrinne. Ashutosh is a senior member of IEEE and ACM. URL:https://www.ieeetoronto.ca/event/security-in-sdn-nfv-and-5g-networks-opportunities-and-challenges/ LOCATION:Room Number: BA 4287\, 40 St George St\, Toronto\, ON M5S 2E4 CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20181206T140000 DTEND;TZID=America/Toronto:20181206T153000 DTSTAMP:20260427T152026 CREATED:20210430T022123Z LAST-MODIFIED:20210430T225837Z UID:10000155-1544104800-1544110200@www.ieeetoronto.ca SUMMARY:Integrated Terrestrial/Aerial 6G Networks for Ubiquitous 3D Super-Connectivity in 2030s DESCRIPTION:Thursday December 6th\, 2018 at 2:00 p.m. Prof. Halim Yanikomeroglu\, Carleton University\, will be presenting a ComSoc distinguished lecture: “Integrated Terrestrial/Aerial 6G Networks for Ubiquitous 3D Super-Connectivity in 2030s”. \nDay & Time: Thursday December 6th\, 2018\n2:00 p.m. ‐ 3:30 p.m. \nSpeaker: Prof. Halim Yanikomeroglu\nCarleton University \nOrganizers: ComSoc IEEE Toronto \nLocation: Bahen Centre\, Room BA1230\n40 St George St\, Toronto\, ON M5S 2E4 \nContact: ComSoc IEEE Toronto \nRegister: https://events.vtools.ieee.org/m/183175 \nAbstract: As the 5G standards are currently being developed with a scheduled completion date of late-2019\, it is time to reinitiate a brainstorming endeavour followed by the technical groundwork towards the subsequent generation (6G) wireless networks of 2030s. \nOne reasonable starting point in this new 6G discussion is to reflect on the possible shortcomings of the 5G networks to-be-deployed. 5G promises to provide connectivity for a broad range of use-cases in a variety of vertical industries; after all\, this rich set of scenarios is indeed what distinguishes 5G from the previous four generations. Many of the envisioned 5G use-cases require challenging target values for one or more of the key QoS elements\, such as high rate\, high reliability\, low latency\, and high energy efficiency; we refer to the presence of such demanding links as the super-connectivity. \nHowever\, the very fundamental principles of digital and wireless communications reveal that the provision of ubiquitous super-connectivity in the global scale – i.e.\, beyond indoors\, dense downtown or campus-type areas – is infeasible with the legacy terrestrial network architecture as this would require prohibitively expensive gross over-provisioning. The problem will only exacerbate with even more demanding 6G use-cases such as UAVs requiring connectivity (ex: delivery drones)\, thus the need for 3D super-connectivity. \nIn this talk\, we will present a 5-layer vertical architecture composed of fully integrated terrestrial and aerial layers for 6G networks of 2030s: \n– Terrestrial HetNets with macro-\, micro-\, and pico-BSs\n– Flying-BSs (aerial-/UAV-/drone-BSs); altitude: up to several 100 m\n– High Altitude Platforms (HAPs) (floating-BSs); altitude: ~20 km\n– Very Low Earth Orbit (VLEO) satellites; altitude: 200-1\,000 km\n– Geostationary Orbit (GEO) satellites; altitude: 35\,786 km \nIn the absence of a clear technology roadmap for the 2030s\, the talk has\, to a certain extent\, an exploratory view point to stimulate further thinking and creativity. We are certainly at the dawn of a new era in wireless research and innovation; the next twenty years will be very interesting. \nBiography: Halim Yanikomeroglu is a Professor at Carleton University. His research covers many aspects of communications technologies with emphasis on wireless networks. He supervised 20 PhD students (all completed with theses). He coauthored 360+ peer-reviewed research papers including 120+ in the IEEE journals; these publications have received 11\,000+ citations. He is a Fellow of IEEE\, a Distinguished Lecturer for the IEEE Communications Society\, and a Distinguished Speaker for the IEEE Vehicular Technology Society. He has been one of the most frequent tutorial presenters in the leading international IEEE conferences (29 times). He has had extensive collaboration with industry which resulted in 25 granted patents (plus more than a dozen applied). During 2012-2016\, he led one of the largest academic-industrial collaborative research projects on pre-standards 5G wireless\, sponsored by the Ontario Government and the industry. He served as the General Chair and Technical Program Chair of several major international IEEE conferences. URL:https://www.ieeetoronto.ca/event/integrated-terrestrial-aerial-6g-networks-for-ubiquitous-3d-super-connectivity-in-2030s/ LOCATION:Bahen Centre\, Room BA1230\, 40 St George St\, Toronto\, ON M5S 2E4 CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20180720T110000 DTEND;TZID=America/Toronto:20180720T120000 DTSTAMP:20260427T152026 CREATED:20210430T014028Z LAST-MODIFIED:20210430T223950Z UID:10000218-1532084400-1532088000@www.ieeetoronto.ca SUMMARY:Integration of Electric Vehicles in Smart Grids DESCRIPTION:Friday\, July 20th at 11:00 a.m.\, The IEEE Toronto ComSoc Chapter and University of Toronto – ECE are inviting all interested to the distinguished lecture titled: “Integration of Electric Vehicles in Smart Grids”. \nDay & Time: Friday\, July 20\, 2018\n11:00 a.m. ‐ 12:00 p.m. \nSpeaker: Prof. Ying-Jun Angela Zhang\nChinese University of Hong Kong \nLocation: 40 St George Street\nToronto\, Ontario\nCanada M5S 2E4\nBuilding: Bahen Centre for Information Technology\nRoom Number: BA4164 \nContact: Eman Hammad \nOrganizer: IEEE Toronto Communication Society \nAbstract: The recent surge in electric vehicle adoption worldwide brings both challenges and opportunities to the electricity power grid. In this talk\, we will first introduce our recent work on coordinated electric vehicle charging when the knowledge of future events is unknown. We will then show how the battery systems in electric vehicles can contribute to stabilizing the grid frequency. \nBiography: Ying-Jun Angela Zhang (S’00-M’05-SM’10) received her PhD degree in Electrical and Electronic Engineering from the Hong Kong University of Science and Technology\, Hong Kong in 2004. Since 2005\, she has been with Department of Information Engineering\, The Chinese University of Hong Kong\, where she is currently an Associate Professor. Her research interests include mainly wireless communications systems and smart power systems\, in particular optimization techniques for such systems. She serves as the Chair of the Executive Editor Committee of the IEEE Transactions on Wireless Communications. Previously\, she served many years as an Associate Editor of the IEEE Transactions on Wireless Communications\, IEEE Transactions on Communications\, Security and Communications Networks (Wiley)\, and a Feature Topic in the IEEE Communications Magazine. She has served on the organizing committee of major IEEE conferences including ICC\, GLOBECOM\, SmartgridComm\, VTC\, CCNC\, ICCC\, MASS\, etc.. She is now the Chair of IEEE ComSoc Emerging Technical Committee on Smart Grid. She was a Co-Chair of the IEEE ComSoc Multimedia Communications Technical Committee and the IEEE Communication Society GOLD Coordinator. She was the co-recipient of the 2014 IEEE ComSoc APB Outstanding Paper Award\, the 2013 IEEE SmartgridComm Best Paper Award\, and the 2011 IEEE Marconi Prize Paper Award on Wireless Communications. She was the recipient of the Young Researcher Award from the Chinese University of Hong Kong in 2011. As the only winner from engineering science\, she has won the Hong Kong Young Scientist Award 2006\, conferred by the Hong Kong Institution of Science. Dr. Zhang is a Fellow of IET and a Distinguished Lecturer of IEEE ComSoc. URL:https://www.ieeetoronto.ca/event/integration-of-electric-vehicles-in-smart-grids/ LOCATION:40 St George St\, Toronto\, ON M5S 2E4\, Canada CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20180507T150000 DTEND;TZID=America/Toronto:20180507T160000 DTSTAMP:20260427T152026 CREATED:20210430T014023Z LAST-MODIFIED:20210430T223114Z UID:10000118-1525705200-1525708800@www.ieeetoronto.ca SUMMARY:ComSoc Distinguished Lecture: Machine Learning in Digital Medicine DESCRIPTION:Monday\, May 7th at 3:00 p.m.\, Dr. Giorgio Quer\, Sr. Research Scientist at the Scripps Research Institute and Director of Artificial Intelligence at the Scripps Translational Science Institute will be presenting a distinguished lecture: “Machine Learning in Digital Medicine”. \nDay & Time: Monday\, May 7\, 2018\n3:00 p.m. ‐ 4:00 p.m. \nSpeaker: Dr. Giorgio Quer\nSr. Research Scientist\, Scripps Research Institute\, San Diego\, California\nDirector of Artificial Intelligence\, Scripps Translational Science Institute\nSenior Member of the IEEE\, Distinguished Lecturer for the IEEE Communications society \nLocation: Room BA1210\nBahen Centre for Information Technology\n40 St George St.\, Toronto\, ON M5S 2E4 \nContact: Eman Hammad \nOrganizer: Communications Society \nAbstract: Digitalize human beings using biosensors to track our complex physiologic system\, process the large amount of data generated with artificial intelligence (AI) and change clinical practice towards individualized medicine: these are the goals of digital medicine. At Scripps\, we promote a strong collaboration between computer scientist\, engineers\, and clinical researchers\, as well as a direct partnership with health industry leaders. We propose new solutions to analyze large longitudinal data using statistical learning and deep convolutional neural networks to address different cardiovascular health issues. Among them\, one of the greatest contributors to premature morbidity and mortality worldwide is hypertension. It is known that lowering blood pressure (BP) by just a few mmHg can bring substantial clinical benefits\, but the assessment of the “true” BP for an individual is non-trivial\, as the individual BP can fluctuate significantly. We analyze a large dataset of more than 16 million BP measurements taken at home with commercial BP monitoring devices\, in order to unveil the BP patterns and provide insights on the clinical relevance of these changes. Another prevalent health issue we investigated is atrial fibrillation (AFib)\, one of the most common sustained cardiac arrhythmia\, which is associated with stroke\, hospitalization\, heart failure and coronary artery disease. AFib detection from single-lead electrocardiography (ECG) recordings is still an open problem\, as AFib events may be episodic and the signal noisy. We conduct a thoughtful analysis of recent deep network architectures developed in the computer vision field\, redesigned to be suitable for a one-dimensional signal\, and we evaluate their performance for the AFib detection problem using 200 thousand seconds of ECG recording\, highlighting the potential of this technology. Looking to the future\, we are investigating new applications of existing wearable devices\, requiring advanced processing and clinical validation\, and we are participating to the All of Us research program\, an unprecedented research effort to gather data from one million people in the USA to accelerate the advent of precision medicine. \nBiography: Dr. Giorgio Quer is a Sr. Research Scientist at the Scripps Research Institute in San Diego\, California\, and he is the Director of Artificial Intelligence at the Scripps Translational Science Institute. \nHe received the B.Sc. degree\, the M.Sc. degree (with honors) in Telecommunications Engineering and the Ph.D. degree (2011) in Information Engineering from University of Padova\, Italy. In 2007\, he was a visiting researcher at the Centre for Wireless Communication at the University of Oulu\, Finland. During his Ph.D.\, he proposed a solution for the distributed compression of wireless sensor networks signals\, based on the joint exploitation of Compressive Sensing and Principal Component Analysis. From 2010 to 2017\, he was a visiting scholar at the California Institute for Telecommunications and Information Technology and then a postdoc at the Qualcomm Institute\, University of California San Diego (UCSD)\, working on cognitive networks protocols and implementation. \nHe is a Senior Member of the IEEE\, a member of the American Heart Association (AHA)\, and a Distinguished Lecturer for the IEEE Communications society. His research interests include wireless sensor networks\, network optimization\, compressive sensing\, probabilistic models\, deep convolutional networks\, wearable sensors\, physiological signal processing\, and digital medicine. URL:https://www.ieeetoronto.ca/event/comsoc-distinguished-lecture-machine-learning-in-digital-medicine/ LOCATION:Room BA1210\, Bahen Centre for Information Technology\, 40 St George St.\, Toronto\, ON M5S 2E4 CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20180504T130000 DTEND;TZID=America/Toronto:20180504T140000 DTSTAMP:20260427T152026 CREATED:20210430T014022Z LAST-MODIFIED:20210430T223053Z UID:10000116-1525438800-1525442400@www.ieeetoronto.ca SUMMARY:ComSoc Distinguished Lecture: Advances and Challenges in 5G Wireless Security DESCRIPTION:Friday\, May 4th at 1:00 p.m.\, Prof. Yi Qian\, professor in the Department of Electrical and Computer Engineering\, University of Nebraska‐Lincoln will be presenting a distinguished lecture: “Advances and Challenges in 5G Wireless Security”. \nDay & Time: Friday\, May 4\, 2018\n1:00 p.m. ‐ 2:00 p.m. \nSpeaker: Prof. Yi Qian\nDept. of Electrical & Computer Engineering\nUniversity of Nebraska‐Lincoln\, USA \nLocation: Room Number: ENG LG02\nGeorge Vari Engineering and Computing Centre\n245 Church Street.\, Toronto\, ON M5B 2K3 \nContact: Eman Hammad \nOrganizer: Communications Society\, Ryerson University \nAbstract: Wireless communication technologies are ubiquitous nowadays. Most of the smart devices have Cellular\, Wi‐Fi\, Bluetooth connections. These technologies have been developed for many years; nonetheless\, they are still being enhanced. More development can be expected in the next 5 years\, such as faster transmission data rate\, more efficient spectrum usage\, lower power consumption\, etc. Similarly\, cellular networks have been evolved for several generations. For example\, GSM as part of 2G family\, UMTS as part of the 3G family\, and LTE as part of 4G family. In the next few years\, 5G cellular network systems will continue the evolution to keep up with the fast‐growing needs of customers. Secure wireless communications will certainly be part of other advances in the industry such as multimedia streaming\, data storage and sharing in clouds\, mobile cloud computing services\, etc. This talk covers the topics on security for next generation mobile wireless networks\, with focusing on 5G mobile wireless network systems\, followed by a discussion on the challenges and open research issues in the area. \nBiography: Dr. Yi Qian received a Ph.D. degree in electrical engineering from Clemson University. He is a professor in the Department of Electrical and Computer Engineering\, University of Nebraska‐Lincoln (UNL). Prior to joining UNL\, he worked in the telecommunications industry\, academia\, and the government. Some of his previous professional positions include serving as a senior member of scientific staff and a technical advisor at Nortel Networks\, a senior systems engineer and a technical advisor at several start‐up companies\, an assistant professor at University of Puerto Rico at Mayaguez\, and a senior researcher at National Institute of Standards and Technology. His research interests include information assurance and network security\, network design\, network modeling\, simulation and performance analysis for next generation wireless networks\, wireless ad‐hoc and sensor networks\, vehicular networks\, smart grid communication networks\, broadband satellite networks\, optical networks\, high‐speed networks and the Internet. He has a successful track record to lead research teams and to publish research results in leading scientific journals and conferences. Dr. Yi Qian is a member of ACM and a senior member of IEEE. He is serving on the editorial board for several international journals and magazines\, including serving as the Associate Editor‐in‐Chief for IEEE Wireless Communications Magazine. He is a Distinguished Lecturer for IEEE Vehicular Technology Society and IEEE Communications Society. He is serving as the Technical Program Committee Chair for IEEE International Conference on Communications 2018. URL:https://www.ieeetoronto.ca/event/comsoc-distinguished-lecture-advances-and-challenges-in-5g-wireless-security/ LOCATION:Room Number: ENG LG02\, George Vari Engineering and Computing Centre\, 245 Church Street.\, Toronto\, ON M5B 2K3 CATEGORIES:Communications END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Toronto:20180504T110000 DTEND;TZID=America/Toronto:20180504T120000 DTSTAMP:20260427T152026 CREATED:20210430T014022Z LAST-MODIFIED:20210430T223031Z UID:10000114-1525431600-1525435200@www.ieeetoronto.ca SUMMARY:ComSoc Seminar: Beef Up the Edge\, How to Build a More Powerful IOT System DESCRIPTION:Friday\, May 4th at 11:00 a.m.\, Prof. Yuguang “Michael” Fang\, Department of Electrical and Computer Engineering\, University of Florida and fellow of the IEEE\, will be presenting a communications seminar: “Beef Up the Edge\, How to Build a More Powerful IOT System”. \nDay & Time: Friday\, May 4\, 2018\n11:00 a.m. ‐ 12:00 p.m. \nSpeaker: Prof. Yuguang “Michael” Fang\nDepartment of Electrical and Computer Engineering\, University of Florida\nFellow of the IEEE \nLocation: Room Number: ENG460\nGeorge Vari Engineering and Computing Centre\n245 Church Street.\, Toronto\, ON M5B 2K3 \nContact: Eman Hammad \nOrganizer: Communications Society\, Ryerson University \nAbstract: Connected things in various cyber-physical systems (CPSs)\, namely IoTs\, enable us to sense physical environments\, extract intelligent information\, and better regulate physical systems we heavily depend on in our daily life. Unfortunately\, how to design effective and efficient systems to meet specific applications with diverse quality of service requirements is of paramount importance but highly challenging due to the spatial and temporal variations of user traffic\, network spectrum resource\, computing capability\, storage\, and device types. One holistic design approach from the end-to-end perspective seems to be in dire need. \nIn this talk\, the speaker will discuss various related problems and challenges in a connected world and then present a novel collaborative network architecture to enabling connected things to effectively harvest in-network capability (spectrum\, energy\, storage\, and computing power) in a cognitive fashion and intelligently manage the spectrum efficiency\, energy efficiency\, and yes\, security! By pushing in-network capability in communications\, computing\, and storage to the edge\, this network architecture provides an effective and robust approach to IoT. \nBiography: Dr. Yuguang “Michael” Fang received MS degree from Qufu Normal University\, Shandong\, China in 1987\, PhD degree from Case Western Reserve University in 1994 and PhD degree from Boston University in 1997. He was an assistant professor in Department of Electrical and Computer Engineering at New Jersey Institute of Technology from 1998 to 2000. He then joined the Department of Electrical and Computer Engineering at University of Florida in 2000 and has been a full professor since 2005. He held a University of Florida Research Foundation (UFRF) Professorship (2006-2009\, 2017-2020)\, a University of Florida Term Professorship (2017-2019) and Changjiang Scholar Chair Professorship awarded by the Ministry of Education of China (is currently affiliated with Dalian Maritime University). \nDr. Fang received the US National Science Foundation Career Award in 2001 and the Office of Naval Research Young Investigator Award in 2002\, 2015 IEEE Communications Society CISTC Technical Recognition Award\, 2014 IEEE Communications Society WTC Recognition Award\, and multiple Best Paper Awards from IEEE Globecom (2015\, 2011 and 2002) and IEEE ICNP (2006). He has also received 2010-2011 UF Doctoral Dissertation Advisor/Mentoring Award\, 2011 Florida Blue Key/UF Homecoming Distinguished Faculty Award\, and the 2009 UF College of Engineering Faculty Mentoring Award. He was the Editor-in-Chief of IEEE Transactions on Vehicular Technology (2013-2017)\, the Editor-in-Chief of IEEE Wireless Communications (2009-2012)\, and serves/served on several editorial boards of journals including IEEE Transactions on Mobile Computing (2003-2008\, 2011-2016)\, IEEE Transactions on Communications (2000-2011)\, and IEEE Transactions on Wireless Communications (2002-2009). He has been actively participating in conference organizations such as serving as the Technical Program Co-Chair for IEEE INFOCOM’2014 and the Technical Program Vice-Chair for IEEE INFOCOM’2005. He is a fellow of the IEEE (2008) and a fellow of the American Association for the Advancement of Science (AAAS) (2015). URL:https://www.ieeetoronto.ca/event/comsoc-seminar-beef-up-the-edge-how-to-build-a-more-powerful-iot-system/ LOCATION:Room Number: ENG460\, George Vari Engineering and Computing Centre\, 245 Church Street.\, Toronto\, ON M5B 2K3 CATEGORIES:Communications END:VEVENT END:VCALENDAR