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DTSTART;TZID=America/Toronto:20210608T180000
DTEND;TZID=America/Toronto:20210608T190000
DTSTAMP:20260411T044436
CREATED:20210601T191940Z
LAST-MODIFIED:20210809T205005Z
UID:10000423-1623175200-1623178800@www.ieeetoronto.ca
SUMMARY:Advanced OrCad Workshop
DESCRIPTION:IEEE Seneca is offering an advanced OrCad Workshop.\nWe will be reinforcing ETD555 concepts and learn about following topics: \n\nTransistor circuits (PNP\, NPN\, Darlington and MOSFETS)\nComponents such as IRF840\, IRF9510\, TIP122\, TIP127\, 2N3904\, and 2N3906\n\nTo amplify the experience\, please have OrCad installed or using virual commons to follow through the instructions. \nContact: IEEE Seneca \nSpeakers: Gabriel Chen\, Adi Malihi
URL:https://www.ieeetoronto.ca/event/advanced-orcad-workshop/
LOCATION:Virtual – Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210610T120000
DTEND;TZID=UTC:20210610T133000
DTSTAMP:20260411T044436
CREATED:20210614T213825Z
LAST-MODIFIED:20210809T204954Z
UID:10000424-1623326400-1623331800@www.ieeetoronto.ca
SUMMARY:Rate-Splitting Multiple Access for 6G
DESCRIPTION:Virtual platform will be delivered to registrants a couple of hours before starting the event.  \nContact: IEEE Montreal Young Professionals \nAbstract: \nRate Splitting Multiple Access (RSMA)\, based on (linearly or nonlinearly) precoded Rate-Splitting (RS) at the transmitter and Successive Interference Cancellation (SIC) at the receivers\, has emerged as a novel\, general and powerful framework for the design and optimization of non-orthogonal transmission\, multiple access\, and interference management strategies in future MIMO wireless networks. RSMA relies on the split of messages and the non-orthogonal transmission of common messages decoded by multiple users\, and private messages decoded by their corresponding users. This enables RSMA to softly bridge and therefore reconcile the two extreme strategies of fully decode interference and treat interference as noise. RSMA has been shown to generalize\, and subsume as special cases\, four seemingly different strategies\, namely Space Division Multiple Access (SDMA) based on linear precoding (currently used in 5G)\, Orthogonal Multiple Access (OMA)\, Non-Orthogonal Multiple Access (NOMA) based on linearly precoded superposition coding with SIC\, and physical-layer multicasting. RSMA boils down to those strategies in some specific conditions\, but outperforms them all in general. Through information and communication theoretic analysis\, RSMA is shown to be optimal (from a Degrees-of-Freedom region perspective) in a number of scenarios and provides significant room for spectral efficiency\, energy efficiency\, fairness\, reliability\, QoS enhancements in a wide range of network loads and user deployments\, robustness against imperfect Channel State Information at the Transmitter (CSIT)\, as well as feedback overhead and complexity reduction over conventional strategies used in 5G. The benefits of RSMA have been demonstrated in a wide range of scenarios (MU-MIMO\, massive MIMO\, multi-cell MIMO/CoMP\, overloaded systems\, NOMA\, multigroup multicasting\, mmwave communications\, communications in the presence of RF impairments and superimposed unicast and multicast transmission\, relay\,…) and systems (terrestrial\, cellular\, satellite\, …). Thanks to its versatility\, RSMA has the potential to tackle challenges of modern communication systems and is a gold mine of research problems for academia and industry\, spanning fundamental limits\, optimization\, PHY and MAC layers\, and standardization. \nThis lecture will share key principles of RSMA\, recent developments\, emerging applications and opportunities of RSMA for 6G networks and will cover many of the topics currently investigated as part of the new IEEE special interest group on RSMA https://sites.google.com/view/ieee-comsoc-wtc-sig-rsma/home. \nSpeaker(s): Bruno Clerckx \nBiography: \nBruno Clerckx is a (Full) Professor\, the Head of the Wireless Communications and Signal Processing Lab\, and the Deputy Head of the Communications and Signal Processing Group\, within the Electrical and Electronic Engineering Department\, Imperial College London\, London\, U.K. He received the M.S. and Ph.D. degrees in applied science from the Université Catholique de Louvain\, Louvain-la-Neuve\, Belgium\, in 2000 and 2005\, respectively. From 2006 to 2011\, he was with Samsung Electronics\, Suwon\, South Korea\, where he actively contributed to 4G (3GPP LTE/LTE-A and IEEE 802.16m) and acted as the Rapporteur for the 3GPP Coordinated Multi-Point (CoMP) Study Item. Since 2011\, he has been with Imperial College London\, first as a Lecturer from 2011 to 2015\, Senior Lecturer from 2015 to 2017\, Reader from 2017 to 2020\, and now as a Full Professor. From 2014 to 2016\, he also was an Associate Professor with Korea University\, Seoul\, South Korea. He also held various long or short-term visiting research appointments at Stanford University\, EURECOM\, National University of Singapore\, The University of Hong Kong\, Princeton University\, The University of Edinburgh\, The University of New South Wales\, and Tsinghua University.
URL:https://www.ieeetoronto.ca/event/rate-splitting-multiple-access-for-6g/
LOCATION:Virtual
CATEGORIES:Young Professionals
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210611T143000
DTEND;TZID=UTC:20210611T153000
DTSTAMP:20260411T044436
CREATED:20210614T213826Z
LAST-MODIFIED:20210809T205239Z
UID:10000425-1623421800-1623425400@www.ieeetoronto.ca
SUMMARY:Protect the Privacy\, Security\, and Integrity of APIs
DESCRIPTION:TeejLab’s mission: \nProtect the privacy\, security\, and integrity of APIs at a global scale by building Data Science and Artificial Intelligence driven API management solutions to help enterprises with API Governance.  Learn more about TeejLab: https://apidiscovery.teejlab.com. \nContact: Mehrdad Tirandazian \nAbstract: \nSoftware development is becoming increasingly reliant on using third-party services accessed through APIs. These APIs connect various IT systems and processes with people to offer useful services that help us run our businesses and personal lives.  API integration may be simple\, but APIs may directly or indirectly expose your IT assets and Databases to unofficial or illegitimate use. This talk aims to help students understand the overall implications of API\, including information security\, data management\, legal risk management\, and licensing costs. \nSpeaker(s): Dr. Baljeet Baljeet of TeejLab \nBiography: \nDr. Malhotra is an award-winning researcher known for his work in Open Source and API data management. He conceptualized the world’s first “API Composition Analysis” based on source code static analysis. He founded TeejLab in 2017 and steered the team to build\, API Discovery™\, world’s first comprehensive end-to-end API Management platform. He also established R&D unit of Black Duck Software in 2016 (acquired for US $565M by Synopsys). Previously\, he was Research Director at SAP (2011-2016)\, Computational Scientist at the EOS Lab (2009) and Software Engineer at Satyam Computers (1999). He received a PhD in Computing Science from the University of Alberta. He was awarded NSERC (Canada) scholar in 2005\, and Global Young Scientist (Singapore) in 2011. He concurrently holds Adjunct Professor positions at the University of British Columbia\, University of Victoria and University of Northern BC.
URL:https://www.ieeetoronto.ca/event/protect-the-privacy-security-and-integrity-of-apis/
LOCATION:Virtual – Zoom
CATEGORIES:Systems
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210617T130000
DTEND;TZID=UTC:20210617T143000
DTSTAMP:20260411T044436
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=UTC:20210618T130000
DTEND;TZID=UTC:20210618T140000
DTSTAMP:20260411T044436
CREATED:20210614T213827Z
LAST-MODIFIED:20210809T205307Z
UID:10000427-1624021200-1624024800@www.ieeetoronto.ca
SUMMARY:AI against COVID-19 Competition: Closing Ceremony
DESCRIPTION:IEEE SIGHT (Special Interest Group on Humanitarian Technology) of Montreal Section\, Vision and Image Processing Research Group of the University of Waterloo and DarwinAI Corp. invite you to the closing ceremony of the virtual competition on AI for COVID-19 diagnosis with chest X-ray images. In the First Phase\, the challenge consisted of designing robust machine learning algorithms to predict if the subjects of study are either COVID-19 positive or COVID-19 negative. Join us to celebrate the amazing work done by all the teams and know who will be participating in the Second Phase. Then\, you are also invited to a networking session with everybody! \nAll the information will be sent to the registrants.
URL:https://www.ieeetoronto.ca/event/ai-against-covid-19-competition-closing-ceremony/
LOCATION:Virtual
CATEGORIES:SIGHT
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210621T110000
DTEND;TZID=UTC:20210621T123000
DTSTAMP:20260411T044436
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:20210622T180000
DTEND;TZID=UTC:20210622T190000
DTSTAMP:20260411T044436
CREATED:20210614T213828Z
LAST-MODIFIED:20210809T205336Z
UID:10000428-1624384800-1624388400@www.ieeetoronto.ca
SUMMARY:Overview of Secondary Surveillance Radar (SSR) and Identification Friend/Foe (IFF) Systems - Part I - Virtual Lecture - CEU/PDH Available
DESCRIPTION:The lecture is composed of two one-hour parts. \nIn Part I a general overview of SSR/IFF is presented which includes a review of terms and definitions. From there\, a historical timeline of SSR/IFF is summarized beginning with early implementations and ending with modern day systems. Then system architectures are reviewed starting with block diagrams and the challenges of scanning airspace. System-level features discussed include sidelobe suppression\, antenna dwell time\, azimuth determination and RF link budgets. In addition\, the trade-offs between 2-channel and 3-channel systems are reviewed. \nLink to virtual event will be provided after registration. \nContact: IEEE Long Island CAS Society \nSpeaker(s): Frank Messina \nBiography: \nFrank Messina is the Chief Engineer of the SSR and IFF products for Telephonics. Frank has 50 years of experience in the design\, development\, and fielding of innovative IFF and SSR products for Military and Civil use. Frank is the lead IFF Interrogator Systems Engineer for the world’s fleet of AWACS aircraft\, US Navy P8-A Multi-Mission Aircraft (MMA)\, US Navy MH-60R aircraft\, Canadian Maritime Patrol Aircraft (CP140)\, Canadian Maritime Helicopter (MHP)\, Canadian Frigate Upgrade\, USMC G/ATOR\, USAF D-RAPCON\, Mode 5 Operational Autonomous Surveillance (M5 OAS)\, SAAB Giraffe Mobile Platforms and other ground\, shipboard and airborne based products at Telephonics. \nEarlier in his career\, Frank was the lead engineer for the FAA Common Digitizer 2 (CD-2) SSR Beacon Extractor System. Frank was also instrumental in adding full Mode S interrogator capability to the NATO AWACS\, which represents the first military IFF interrogator system to integrate the high-priority AEW Military IFF Modes with Mode S. He was also the IFF team leader for the design and development of the AN/APS-147 and AN/APS-153 IFF interrogator system – the first integrated and tightly-coupled Multi-Mode Radar and IFF interrogator fusion system. More recently\, Frank lead the design and development of the AN/UPR-4(V) Passive Detection and Reporting System (PDRS) and Small Form Factor SFF-44 All-Mode Active and Passive IFF system.
URL:https://www.ieeetoronto.ca/event/overview-of-secondary-surveillance-radar-ssr-and-identification-friend-foe-iff-systems-part-i-virtual-lecture-ceu-pdh-available/
LOCATION:Virtual
CATEGORIES:Circuits & Devices
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210624T110000
DTEND;TZID=UTC:20210624T123000
DTSTAMP:20260411T044436
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:20210628T180000
DTEND;TZID=UTC:20210628T193000
DTSTAMP:20260411T044436
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=America/Toronto:20210708T150000
DTEND;TZID=America/Toronto:20210708T160000
DTSTAMP:20260411T044436
CREATED:20210525T165425Z
LAST-MODIFIED:20210809T205411Z
UID:10000417-1625756400-1625760000@www.ieeetoronto.ca
SUMMARY:From an Idea to a Startup
DESCRIPTION:We are living in the age of innovation. Every day\, innovators are solving many problems that people are facing in life. In the process of innovation\, there are many questions about how we can find problems. What is innovation exactly? How can we find solutions? And how can we learn the innovation process? \nI am Masoud Valinejad\, CEO-Director of technology in NovoSolTech Company\, and innovation mentor with more than five-year experience\, with 10 USA patents\, and more than five national and international special prizes in innovation competitions. In this webinar\, I want to show you how you can become an innovator and entrepreneur through some steps and practices. \nContact: Ayda Naserialiabadi
URL:https://www.ieeetoronto.ca/event/from-an-idea-to-a-startup/
LOCATION:Virtual – Zoom
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210712T180000
DTEND;TZID=UTC:20210716T210000
DTSTAMP:20260411T044436
CREATED:20210615T220333Z
LAST-MODIFIED:20210809T205423Z
UID:10000429-1626112800-1626469200@www.ieeetoronto.ca
SUMMARY:Introduction to Python programming - Registration
DESCRIPTION:This is an introduction to Python programming for students without any prior programming knowledge or experience. The proposed 5-day course covers the fundamental aspects of programming\, which include data types\, various operators\, input/output\, conditions\, control flow\, functions\, and algorithms. The learning experience is enhanced by a number of examples and problem sets (data\, strings\, file processing and simple graphics) that will be solved interactively during the lecture with the participation of the students. The course format includes 3 hours of daily lectures (2 hours of lecture and 1 hour of lab). A certificate of completions will be given to the student who successfully complete the course and pass a short exam at the end of the course to evaluate their knowledge. Electronic copies of the course materials will be provided to the students. The students will also be provided with career advice\, and skills development. \nThe course is delivered online and limited space (25 spots) is available. Please register by July 11. After the registration\, applicants will be contacted with the virtual meeting information and course material prior to the start of the course. \nFees:\n– $250 CAD (IEEE or OSPE Members)\n– $350 CAD (Non-members) \nPlease follow IEEE on Social Media:\nTweets by IEEEToronto \nHome \n \nCourse Objective: Attendees will gain a solid understanding of principles of programing using Python; they can progress to more advanced programming topics and explores algorithms that are integral parts of more sophisticated methodologies\, e.g.\, Artificial Intelligence. Attendees will have the knowledge to write various Python programs\, and to design algorithms manipulating files and different types of data including numbers\, and text. \nNote: This course is designed to be offered online\, and it requires the attendees to use their personal computers/laptops. Details to Join in will be forwarded to Registered Attendees \nWho should attend: Students\, second career trainees\, engineers\, scientists\, clinicians\, and in general specialists in variety of non-STEM fields. \nWhat will you receive after completion: A certificate of completion will be given to the students who successfully complete the course and pass a short exam. Electronic copies of the course materials. Attendees will also be provided with career\, and skills development advice. \nSpeaker\nDr. Alireza Sadeghian \nDr. Alireza Sadeghian has been with the Department of Computer Science at Ryerson University since 1999\, where he holds the position of the Professor. He is also an Affiliate Scientist at the Li Ka Shing Knowledge Institute\, St. Michael’s Hospital\, and serves as the AI research Theme Lead in Healthcare and Analytics at the Institute for Biomedical Engineering\, Science\, and Technology. \nDr. Sadeghian was the Chair of the Department of Computer Science from 2005 to 2015. He is the founding Director of the Advanced Artificial Intelligence Initiative (AI2) Laboratory and has extensive expertise in the areas of AI\, machine learning\, and Deep Learning particularly related to industrial and medical applications. He has supervised 9 postdoctoral fellows\, 8 PhD\, and 24 Master’s students\, as well as 60 research assistants. He has published over 150 journal manuscripts\, refereed conference papers\, and book chapters\, as well as two edited books. He has 2 invention disclosures and 2 patents. \nDr. Sadeghian has been actively involved with a number of international professional and academic boards including IEEE Education Activity Board. Presently\, he is the Chair of IEEE Computational Intelligence Technical Society Chapter\, Toronto Section. Dr. Sadeghian is also on the Editorial Board of Applied Soft Computing Journal and serves as an Associate Editor of IEEE Access\, Information Sciences\, and Expert Systems Journal. \nEmail: dr.alireza.sadeghian@ieee.org \nAgenda\nDay 1 – June 7\, 2021\, 6:00-9:00 pm: Introduction to computer systems\, hardware architecture\, CPU\, memory\, compilation\, high level vs. low-level programming language\, data representation\, Python and PyCharm interactive IDE installation\, writing/editing/saving/retrieving and running a simple program\, basic data types\, variables\, assignments\, comments\, and expressions. The material learned will be reinforced through examples provided during the lecture. \nDay 2 – June 8\, 2021\, 6:00-9:00 pm: The following topics will be discussed: conditions\, operators (arithmetic\, logic\, and comparison)\, control statements (if and if-else)\, and loops (for and while). The material learned will be reinforced through examples provided during the lecture. \nDay 3 – June 9\, 2021\, 6:00-9:00 pm: Students will be introduced to Strings and text files in Python. They will learn how to work with files\, reading/writing text and numbers from/to a file\, string manipulation\, indexing\, and string slicing. The material learned will be reinforced through examples provided during the lecture. \nDay 4 – June 10\, 2021\, 6:00-9:00 pm: Functions\, arguments\, and return values will be discussed. The material learned will be reinforced through examples provided during the lecture. \nDay 5 – June 11\, 2021\, 6:00-9:00 pm: The topics of lists and dictionaries will be discussed. Students will learn about the basic operators\, creating\, accessing\, slicing\, adding\, removing\, replacing\, and iteration methods for lists and dictionaries. The material learned will be reinforced through examples provided during the lecture.
URL:https://www.ieeetoronto.ca/event/introduction-to-python-programming-registration-2/
LOCATION:Virtual
CATEGORIES:Signals & Computational Intelligence
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210717T130000
DTEND;TZID=UTC:20210717T140000
DTSTAMP:20260411T044436
CREATED:20210629T223830Z
LAST-MODIFIED:20220105T225704Z
UID:10000438-1626526800-1626530400@www.ieeetoronto.ca
SUMMARY:FRDM-K64 & MBED Workshop
DESCRIPTION:The FRDM-K64 board is a development board designed around the Kinetis K64 MCU. This IEEE Seneca workshop is intended to demonstrate some of the basic functionality of the ARM Mbed platform and to offer assistance with Seneca course content related to microcontrollers and embedded systems. Bring your code\, design ideas\, or technical problems and discuss the best path forward with the workshop host and your fellow students. \nSpeaker(s): John Hooper\, Adi Malihi \nVirtual: https://events.vtools.ieee.org/m/276197
URL:https://www.ieeetoronto.ca/event/frdm-k64-mbed-workshop/
LOCATION:Virtual: https://events.vtools.ieee.org/m/276197
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210719T120000
DTEND;TZID=UTC:20210719T130000
DTSTAMP:20260411T044436
CREATED:20210708T233314Z
LAST-MODIFIED:20220105T225731Z
UID:10000440-1626696000-1626699600@www.ieeetoronto.ca
SUMMARY:Distributed Machine Learning 101
DESCRIPTION:Machine Learning is an indispensable part of data science\, and there is no need to have a thorough programming background to benefit from it. Machine Learning (ML) and statistical techniques have provided a new era that enables us to convert the data into information and transform it into actionable knowledge. SciKit and TensorFlow are two states of the art libraries that can be used in Python\, and this seminar will open the gate to know their bases. The first seminar is about “Hello World!” Machine Learning program\, using the python language and SciKit learn library. \nSpeaker(s): Dr. Reza Dibaj \nVirtual: https://events.vtools.ieee.org/m/276938
URL:https://www.ieeetoronto.ca/event/distributed-machine-learning-101/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/276938
CATEGORIES:Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210719T180000
DTEND;TZID=UTC:20210719T200000
DTSTAMP:20260411T044436
CREATED:20210622T221221Z
LAST-MODIFIED:20220105T225754Z
UID:10000436-1626717600-1626724800@www.ieeetoronto.ca
SUMMARY:Product Lifecycle Management
DESCRIPTION:Product Lifecycle Management is a process used to manage all of the business and technical aspects in the life of a product business\, from early stage concept to product retirement. It is used extensively by most Global MultiNational Corporations but it serves small startup businesses very well also. It deals with and includes participation from all of the important business organisations. As such it is very relevant to engineers involved in any aspect of product development. Marto Hoary has worked with a number of multinationals in the USA and Europe where in he has observed and learned the use of this process first hand. \nSpeaker(s): Marto J Hoary\, Sr MIEEE\, M. Eng. \nVirtual: https://events.vtools.ieee.org/m/275555
URL:https://www.ieeetoronto.ca/event/product-lifecycle-management/
LOCATION:Virtual: https://events.vtools.ieee.org/m/275555
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210726T120000
DTEND;TZID=UTC:20210726T130000
DTSTAMP:20260411T044436
CREATED:20210708T233315Z
LAST-MODIFIED:20220105T225837Z
UID:10000442-1627300800-1627304400@www.ieeetoronto.ca
SUMMARY:Sustainable Service Pricing in Cloud Ecosystems
DESCRIPTION:Energy efficiency\, which has emerged as a top priority in cloud ecosystems\, is the outcome of appropriate pricing mechanisms and resource allocations. Static pricing mechanisms are the most dominant approach among all the others. They are simple to implement for the service providers and easy to understand for the service users. Inaccurate price calculation and low efficient resource allocation in static pricing mechanisms made researchers discover other solutions to overcome these issues. Double auction mechanisms are among the most appropriate dynamic models. The main challenge of conventional double auction mechanisms is not considering the cloud ecosystems’ specifications\, such as dynamic online features. The term dynamic refers to the many variable parameters in cloud ecosystems\, and they constantly change. Conventional static offline pricing solutions are set based on a series of parameters before running the process. In dynamic online methods\, we customize our pricing models based on dynamic and current parameters. Also\, we continuously optimize these methods to attain optimal results. In this seminar\, firstly\, we define a Dynamic Online Double Auction Mechanism (DODAM) for the IaaS environment\, which covers a broader range of IaaS parameters by considering the dynamic online features of such markets. Considering the features of cloud dynamic online ecosystems\, DODAM provides an appropriate price scheduling for service providers and service users. Cloud secondary market is a new paradigm in IaaS ecosystems. In these markets\, brokers and reseller buyers have attained their resources from service providers of the cloud primary markets in the form of timed packages and repackage them into smaller chunks. As unsold packages do not transfer to the next intervals\, brokers and reseller buyers need to sell their packages as much as possible. We develop a mechanical design that includes a market-based pricing model and a resource allocation algorithm in such markets as our second contribution. Next\, by formulating the inherent competitive features in cloud secondary markets\, we improve the pricing and resource allocation mechanisms in such competitive ecosystems. In the last contribution\, we proposed a Priority-based Dynamic Online Double Auction Model (PB-DODAM)\, considering the perishability and time constraints of traded resources in IaaS secondary markets. The provided experimental results show that all proposed mechanisms drastically increase resource utilization and the overall utility. \nSpeaker(s): Dr. Reza Dibaj \nVirtual: https://events.vtools.ieee.org/m/276942
URL:https://www.ieeetoronto.ca/event/sustainable-service-pricing-in-cloud-ecosystems/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/276942
CATEGORIES:Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210726T120000
DTEND;TZID=UTC:20210726T133000
DTSTAMP:20260411T044436
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=America/Toronto:20210730T120000
DTEND;TZID=America/Toronto:20210730T133000
DTSTAMP:20260411T044436
CREATED:20210525T165426Z
LAST-MODIFIED:20210809T210240Z
UID:10000418-1627646400-1627651800@www.ieeetoronto.ca
SUMMARY:Integrated Access and Backhaul for 5G and Beyond
DESCRIPTION:Note: Virtual platform will be delivered to registrants a couple of hours before starting the event. \nContact: IEEE Montreal Section Young Professionals \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.
URL:https://www.ieeetoronto.ca/event/integrated-access-and-backhaul-for-5g-and-beyond/
LOCATION:Virtual – Zoom
CATEGORIES:Young Professionals
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210827T140000
DTEND;TZID=UTC:20210827T153000
DTSTAMP:20260411T044436
CREATED:20210714T235912Z
LAST-MODIFIED:20220105T230155Z
UID:10000444-1630072800-1630078200@www.ieeetoronto.ca
SUMMARY:Basics of Programming in Python
DESCRIPTION:Workshop Description: In the workshop\, first the attendees will revisit the basic concepts of Python programming related to (1) writing and executing Python scripts to perform basic tasks\, (2) entering and executing basic Python commands in a Jupyter Notebook\, and (3) creating objects\, data types such as strings\, integers\, Booleans\, variables\, lists\, loops\, coordinate system\, if-statements\, inequalities\, etc. \nLater\, this workshop will discuss the implementation of random variables and probability models in Python. In particular\, we will introduce numpy that includes the basic understanding of arrays\, matrices\, matrices operations\, random data generation and exercises. Furthermore\, since understanding of Matplotlib is necessary to iplot functions and models in Python\, we will explore basic strategies to plot using matplotlib \nSpeaker(s): Taha Sajjad
URL:https://www.ieeetoronto.ca/event/basics-of-programming-in-python/
LOCATION:Virtual: https://events.vtools.ieee.org/m/277447
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210908T173000
DTEND;TZID=UTC:20210908T183000
DTSTAMP:20260411T044436
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:20210916T153000
DTEND;TZID=UTC:20210916T163000
DTSTAMP:20260411T044436
CREATED:20210914T124851Z
LAST-MODIFIED:20211015T180659Z
UID:10000453-1631806200-1631809800@www.ieeetoronto.ca
SUMMARY:IEEE CCECE WIE Panel
DESCRIPTION:Learn from WIE professionals from across Canada about how to create a successful award application and how to move upward in your membership with IEEE.\nVirtual: https://events.vtools.ieee.org/m/281734
URL:https://www.ieeetoronto.ca/event/ieee-ccece-wie-panel/
LOCATION:Virtual: https://events.vtools.ieee.org/m/281734
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210916T180000
DTEND;TZID=UTC:20210916T190000
DTSTAMP:20260411T044436
CREATED:20210910T123258Z
LAST-MODIFIED:20220105T230309Z
UID:10000452-1631815200-1631818800@www.ieeetoronto.ca
SUMMARY:Internships for Graduate and Undergraduate Students
DESCRIPTION:Not sure how to find an internship? Unclear about how internships are structured? Join a Ryerson University Career & Co-op Centre\, IEEE\, and IEEE Women in Engineering collaboration for this informative workshop to learn about internship opportunities available for undergraduate and graduate students on Sept. 16 from 6-7 pm.
URL:https://www.ieeetoronto.ca/event/internships-for-graduate-and-undergraduate-students/
LOCATION:Virtual: https://events.vtools.ieee.org/m/281467
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210921T170000
DTEND;TZID=UTC:20210921T180000
DTSTAMP:20260411T044436
CREATED:20210914T124852Z
LAST-MODIFIED:20220105T230409Z
UID:10000454-1632243600-1632247200@www.ieeetoronto.ca
SUMMARY:Advanced OrCad Workshop
DESCRIPTION:IEEE Seneca is offering an advanced OrCad Workshop.\nWe will be reinforcing ETD555 concepts and learn about following topics: \n\nTransistor circuits (PNP\, NPN\, Darlington and MOSFETS)\nComponents such as IRF840\, IRF9510\, TIP122\, TIP127\, 2N3904\, and 2N3906\n\nTo amplify the experience\, please have OrCad installed or using virual commons to follow through the instructions. \nSpeaker(s): Gabriel Chen\, Adi Malihi
URL:https://www.ieeetoronto.ca/event/advanced-orcad-workshop-3/
LOCATION:Virtual: https://events.vtools.ieee.org/m/281787
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210922T170000
DTEND;TZID=UTC:20210922T180000
DTSTAMP:20260411T044436
CREATED:20210914T124852Z
LAST-MODIFIED:20220105T230503Z
UID:10000455-1632330000-1632333600@www.ieeetoronto.ca
SUMMARY:Basic OrCad Workshop
DESCRIPTION:IEEE Seneca is offering a basic OrCad Workshop.\nWe will be reinforcing ETY155 concepts and learn about following topics: \n\nSimple resistor circuits\nVoltage divider\nCurrent divider concepts\nParallel circuits vs series circuits\n\nTo amplify the experience\, please have OrCad installed or use virual commons by Seneca to follow through the instruction. \nSpeaker(s): Gabriel Chen\, Adi Malihi
URL:https://www.ieeetoronto.ca/event/basic-orcad-workshop-3/
LOCATION:Virtual: https://events.vtools.ieee.org/m/281788
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210927T140000
DTEND;TZID=UTC:20210927T153000
DTSTAMP:20260411T044436
CREATED:20210714T235912Z
LAST-MODIFIED:20211027T103904Z
UID:10000446-1632751200-1632756600@www.ieeetoronto.ca
SUMMARY:Fundamentals of Probability in Python
DESCRIPTION:In this workshop\, we first provide a brief review of probability theory making sure that attendees understand probability models and applications. Later in this workshop\, we will discuss basic probability models and their implementation in python\, how to deal with various aspects of conditional probability like total probability theorem\, conditional independence\, Bayes Rule\, etc. Then\, we will discuss the implementation of discrete random variables as well as continuous random variable like Bernoulli variables\, geometric variables\, uniform\, exponential and gaussian distribution. Afterwards\, fundamental law of large numbers related programming concepts will be covered along with sample mean and variance of famous probability distributions.  Speaker(s): Taha Sajjad\,   Virtual: https://events.vtools.ieee.org/m/277449
URL:https://www.ieeetoronto.ca/event/fundamentals-of-probability-in-python/
LOCATION:Virtual: https://events.vtools.ieee.org/m/277449
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211001T140000
DTEND;TZID=UTC:20211001T153000
DTSTAMP:20260411T044436
CREATED:20210714T235912Z
LAST-MODIFIED:20211031T112242Z
UID:10000448-1633096800-1633102200@www.ieeetoronto.ca
SUMMARY:Applications of Probability in Python
DESCRIPTION:This workshop will cover an example project on Bayes Classifier\, multiple random variables\, and estimation. We will learn the implementation of multivariate Gaussian distribution\, classification and regression problems in Python. Later we will see that how to define parametric distribution in python and will further explore estimation concepts like maximum likelihood ratio\, maximum posteriori classification\, loglikelihood and logistic regression.  Speaker(s): Taha Sajjad\,   Virtual: https://events.vtools.ieee.org/m/277453
URL:https://www.ieeetoronto.ca/event/applications-of-probability-in-python/
LOCATION:Virtual: https://events.vtools.ieee.org/m/277453
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211001T160000
DTEND;TZID=UTC:20211001T170000
DTSTAMP:20260411T044436
CREATED:20211013T175332Z
LAST-MODIFIED:20211031T112242Z
UID:10000473-1633104000-1633107600@www.ieeetoronto.ca
SUMMARY:UofT IEEE AP-S General Meeting
DESCRIPTION:Encouraging chapter involvement and IEEE membership among new students  toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/285360
URL:https://www.ieeetoronto.ca/event/uoft-ieee-ap-s-general-meeting/
LOCATION:toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/285360
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211004T190000
DTEND;TZID=UTC:20211004T200000
DTSTAMP:20260411T044436
CREATED:20210928T145456Z
LAST-MODIFIED:20211103T115731Z
UID:10000465-1633374000-1633377600@www.ieeetoronto.ca
SUMMARY:A security-aware container-based architecture for connected vehicles
DESCRIPTION:Cyberattack is a growing concern in connected vehicles because of the possibility of accessing\, changing\, or destroying sensitive information. On the other hand\, many existing security protocols are infeasible to apply because of high resource consumption. Containers are a method of providing added security through virtualization. Advantages of containers include increasing utilization of bare-metal resources\, and adding security isolation properties to various types of systems. These advantages make containers well-suited for the connected vehicle software. This paper describes a specific consideration in the development of a container architecture pattern for embedded systems\, aimed at enforcing multiple modes of application functionality.  Speaker(s): Dr. Akramul Azim\,   Virtual: https://events.vtools.ieee.org/m/283789
URL:https://www.ieeetoronto.ca/event/a-security-aware-container-based-architecture-for-connected-vehicles/
LOCATION:Virtual: https://events.vtools.ieee.org/m/283789
CATEGORIES:Vehicular Technology
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211007T180000
DTEND;TZID=UTC:20211007T190000
DTSTAMP:20260411T044436
CREATED:20210916T124947Z
LAST-MODIFIED:20211106T121814Z
UID:10000456-1633629600-1633633200@www.ieeetoronto.ca
SUMMARY:Building and Leveraging Your Professional Network Using LinkedIn
DESCRIPTION:Not sure how to market yourself effectively online using LinkedIn? Unclear about how to establish and maintain professional contacts? In this webinar\, you will learn how to raise your profile and leverage the power of your personal network to advance your career goals.  Register at: https://bit.ly/IEEESession2  Virtual: https://events.vtools.ieee.org/m/281919
URL:https://www.ieeetoronto.ca/event/building-and-leveraging-your-professional-network-using-linkedin/
LOCATION:Virtual: https://events.vtools.ieee.org/m/281919
CATEGORIES:Aerospace & Electronic Systems,Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211009T090000
DTEND;TZID=UTC:20211009T110000
DTSTAMP:20260411T044436
CREATED:20211017T090630Z
LAST-MODIFIED:20211108T123335Z
UID:10000477-1633770000-1633777200@www.ieeetoronto.ca
SUMMARY:Fall Electronics session 2021
DESCRIPTION:Easy circuit to transmit and receive audio through an LED  We are using the 555 chip to make an oscillator (Osc). Our audio signal changes the frequency of the Osc.  This signal drives a transistor with Infrared LED collector load……..  We think any voltage controlled oscillator circuit will do. We think so  On the receiver side\, a photodiode converts this light back to current. Circuit then followed with an I-V converter (a simple resistor)…….  And rest is audio..It works  Virtual: https://events.vtools.ieee.org/m/285740
URL:https://www.ieeetoronto.ca/event/fall-electronics-session-2021/
LOCATION:Virtual: https://events.vtools.ieee.org/m/285740
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211019T060000
DTEND;TZID=UTC:20211019T080000
DTSTAMP:20260411T044436
CREATED:20211015T180657Z
LAST-MODIFIED:20211118T192354Z
UID:10000475-1634623200-1634630400@www.ieeetoronto.ca
SUMMARY:Partial discharge measurement for power transformers- UHF PD Measurement Method
DESCRIPTION:The course is intended for utility engineers\, manufacturers of transformers\, transformer components\, monitoring systems\, sensors\, etc.\, students and anyone wishing to understand the scientific foundation of PD measurement\, anyone interested in a deeper awareness of partial discharge measurement and interpretation\, staff who are responsible for transformers and want them to be more operational and efficient.  ttend the session if you want to get familiar with:  – Principle of measurement – Types of sensors for UHF PD Measurement – Calibration of UHF sensors and measurement system – Installation of UHF sensors  Co-sponsored by: Transformer Magazine  Speaker(s): Dr. Stefan Tenbohlen\,   Virtual: https://events.vtools.ieee.org/m/285677
URL:https://www.ieeetoronto.ca/event/partial-discharge-measurement-for-power-transformers-uhf-pd-measurement-method/
LOCATION:Virtual: https://events.vtools.ieee.org/m/285677
CATEGORIES:Dielectrics & Electrical Insulation
END:VEVENT
END:VCALENDAR